{"utterance_id": "1686-142278-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0052.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0029.flac", "task_type": "lexical_detection", "query": "admission", "prompt": "When the utterance is complete, report all instances of the word \"admission\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0041.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After listening to the whole recording, output every instance of a number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0010.flac", "task_type": "lexical_detection", "query": "bags", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"bags\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0013.flac", "task_type": "semantic_counting", "query": "animal", "prompt": "Once the audio has finished, list each occurrence of an animal name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0005.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a profession: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0056.flac", "task_type": "lexical_detection", "query": "admiration", "prompt": "Process the full audio offline. Find every instance of the word \"admiration\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0006.flac", "task_type": "lexical_detection", "query": "alexander", "prompt": "After the audio ends, extract all occurrences of the word \"alexander\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0005.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "After listening to the whole recording, output timed count words for an ordinal number (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0004.flac", "task_type": "lexical_detection", "query": "action", "prompt": "After the audio ends, extract all occurrences of the word \"action\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0014.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0003.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen carefully to the entire clip, then report every instance of a number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0000.flac", "task_type": "lexical_detection", "query": "afterward", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"afterward\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0017.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Process the full audio offline. Find every instance of a weather term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0006.flac", "task_type": "lexical_detection", "query": "begging", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"begging\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0040.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0009.flac", "task_type": "lexical_detection", "query": "bar", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"bar\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0035.flac", "task_type": "lexical_counting", "query": "ambassadors", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"ambassadors\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0012.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the full audio. After it finishes, find every instance of a family relation. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0022.flac", "task_type": "lexical_detection", "query": "annoyance", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"annoyance\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0009.flac", "task_type": "lexical_detection", "query": "achieve", "prompt": "After the audio ends, extract all occurrences of the word \"achieve\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0005.flac", "task_type": "lexical_detection", "query": "barclay", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"barclay\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0007.flac", "task_type": "lexical_detection", "query": "amusement", "prompt": "After listening to the whole recording, output every instance of the word \"amusement\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0021.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After the audio ends, extract all occurrences of a weather term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0017.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0001.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0008.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0031.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0023.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0016.flac", "task_type": "lexical_counting", "query": "argue", "prompt": "After the audio ends, tally every instance of the word \"argue\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0010.flac", "task_type": "lexical_counting", "query": "baskets", "prompt": "Once the audio has finished, list each occurrence of the word \"baskets\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0008.flac", "task_type": "lexical_detection", "query": "chatter", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"chatter\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0017.flac", "task_type": "lexical_detection", "query": "bliss", "prompt": "Once the audio has finished, identify every instance of the word \"bliss\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0025.flac", "task_type": "lexical_detection", "query": "advancing", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"advancing\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0016.flac", "task_type": "lexical_detection", "query": "angel", "prompt": "After listening to the whole recording, output every instance of the word \"angel\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0034.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0008.flac", "task_type": "lexical_detection", "query": "absorbed", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"absorbed\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0033.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the full audio. After it finishes, find every instance of an animal name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0109", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0109.flac", "task_type": "lexical_detection", "query": "actors", "prompt": "When the utterance is complete, report all instances of the word \"actors\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0005.flac", "task_type": "lexical_detection", "query": "bag", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"bag\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0019.flac", "task_type": "lexical_counting", "query": "burden", "prompt": "After the audio ends, tally every instance of the word \"burden\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0015.flac", "task_type": "lexical_detection", "query": "brand", "prompt": "After the audio ends, extract all occurrences of the word \"brand\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0044.flac", "task_type": "lexical_detection", "query": "altogether", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"altogether\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0004.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0017.flac", "task_type": "semantic_counting", "query": "country", "prompt": "After the audio ends, tally every instance of a country name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0025.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen carefully to the entire clip, then report every instance of a person's name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0092", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0092.flac", "task_type": "lexical_detection", "query": "accurate", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"accurate\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0005.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0000.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0057", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0057.flac", "task_type": "lexical_detection", "query": "ate", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"ate\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0009.flac", "task_type": "lexical_detection", "query": "capital", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"capital\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0024.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Listen to the entire clip, then report the count sequence for a country name as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0000.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0017.flac", "task_type": "lexical_detection", "query": "awoke", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"awoke\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0002.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0006.flac", "task_type": "lexical_detection", "query": "beheld", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"beheld\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0026.flac", "task_type": "lexical_counting", "query": "blushed", "prompt": "Listen to the full audio. Count every occurrence of the word \"blushed\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0028.flac", "task_type": "lexical_detection", "query": "below", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"below\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0020.flac", "task_type": "lexical_detection", "query": "breath", "prompt": "Process the full audio offline. Find every instance of the word \"breath\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0026.flac", "task_type": "lexical_detection", "query": "allowance", "prompt": "Process the full audio offline. Find every instance of the word \"allowance\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0033.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the full audio. After it finishes, find every instance of a country name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0007.flac", "task_type": "lexical_detection", "query": "bank", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"bank\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0029.flac", "task_type": "lexical_detection", "query": "author", "prompt": "After listening to the whole recording, output every instance of the word \"author\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0010.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen carefully to the entire clip, then report every instance of a country name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0043.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0001.flac", "task_type": "semantic_detection", "query": "country", "prompt": "You will hear a complete utterance. When it ends, list every instance of a country name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0040.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0006.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0005.flac", "task_type": "lexical_detection", "query": "agreed", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"agreed\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0013.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0023.flac", "task_type": "lexical_detection", "query": "abode", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"abode\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0010.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After listening to the whole recording, output every instance of a plant name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0013.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0018.flac", "task_type": "lexical_detection", "query": "browning", "prompt": "After listening to the whole recording, output every instance of the word \"browning\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0004.flac", "task_type": "lexical_detection", "query": "awaits", "prompt": "Once the audio has finished, identify every instance of the word \"awaits\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0024.flac", "task_type": "lexical_counting", "query": "amazement", "prompt": "Listen to the full audio. Count every occurrence of the word \"amazement\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0003.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After the audio ends, extract all occurrences of a family relation. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0007.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0011.flac", "task_type": "lexical_detection", "query": "amusing", "prompt": "Process the full audio offline. Find every instance of the word \"amusing\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0072", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0072.flac", "task_type": "lexical_counting", "query": "anchor", "prompt": "After the audio ends, tally every instance of the word \"anchor\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0049.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0052.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0029.flac", "task_type": "lexical_detection", "query": "aim", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"aim\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0002.flac", "task_type": "lexical_detection", "query": "attributes", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"attributes\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0007.flac", "task_type": "lexical_counting", "query": "bless", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"bless\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0003.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen carefully to the entire clip, then report every instance of a profession as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0026.flac", "task_type": "lexical_detection", "query": "aristocracy", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"aristocracy\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0011.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0032.flac", "task_type": "lexical_detection", "query": "attend", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"attend\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0000.flac", "task_type": "lexical_detection", "query": "bernardino", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"bernardino\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0006.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0015.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0088", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0088.flac", "task_type": "lexical_detection", "query": "aside", "prompt": "When the utterance is complete, report all instances of the word \"aside\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0028.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0027.flac", "task_type": "lexical_detection", "query": "accompanied", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"accompanied\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0004.flac", "task_type": "lexical_detection", "query": "amy", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"amy\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0058.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0023.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0026.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0003.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Process the full audio offline. Find every instance of a body part and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0009.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After listening to the whole recording, output every instance of a plant name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0000.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0041.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0110", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0110.flac", "task_type": "lexical_detection", "query": "ass", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"ass\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0004.flac", "task_type": "lexical_detection", "query": "cat", "prompt": "Once the audio has finished, identify every instance of the word \"cat\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0015.flac", "task_type": "lexical_detection", "query": "assured", "prompt": "Process the full audio offline. Find every instance of the word \"assured\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0007.flac", "task_type": "lexical_detection", "query": "alike", "prompt": "After listening to the whole recording, output every instance of the word \"alike\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0002.flac", "task_type": "lexical_detection", "query": "buddha", "prompt": "Process the full audio offline. Find every instance of the word \"buddha\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0003.flac", "task_type": "lexical_detection", "query": "anderson", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"anderson\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0007.flac", "task_type": "lexical_detection", "query": "authors", "prompt": "Process the full audio offline. Find every instance of the word \"authors\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0020.flac", "task_type": "lexical_detection", "query": "acquaintance", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"acquaintance\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0011.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0064.flac", "task_type": "lexical_counting", "query": "barry", "prompt": "Listen to the entire clip, then report the count sequence for the word \"barry\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0011.flac", "task_type": "lexical_detection", "query": "biffen", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"biffen\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0001.flac", "task_type": "lexical_detection", "query": "cheer", "prompt": "Once the audio has finished, identify every instance of the word \"cheer\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0054.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the full audio. After it finishes, find every instance of a country name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0002.flac", "task_type": "semantic_counting", "query": "body_part", "prompt": "After the audio ends, tally every instance of a body part. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0006.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Once the audio has finished, identify every instance of a food name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0026.flac", "task_type": "lexical_detection", "query": "bitterness", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"bitterness\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0017.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After the audio ends, extract all occurrences of a weather term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0025.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0012.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After the audio ends, extract all occurrences of an organization name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0021.flac", "task_type": "lexical_detection", "query": "absolutely", "prompt": "Once the audio has finished, identify every instance of the word \"absolutely\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0002.flac", "task_type": "lexical_counting", "query": "association", "prompt": "After listening to the whole recording, output timed count words for the word \"association\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0010.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "When the utterance is complete, report all instances of a state or province name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0024.flac", "task_type": "lexical_detection", "query": "characters", "prompt": "Once the audio has finished, identify every instance of the word \"characters\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0003.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0006.flac", "task_type": "lexical_detection", "query": "ages", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"ages\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0000.flac", "task_type": "lexical_detection", "query": "agreeable", "prompt": "Once the audio has finished, identify every instance of the word \"agreeable\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0015.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0042.flac", "task_type": "lexical_detection", "query": "blest", "prompt": "Process the full audio offline. Find every instance of the word \"blest\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0000.flac", "task_type": "lexical_detection", "query": "blankly", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"blankly\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0041.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0079", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0079.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0023.flac", "task_type": "lexical_detection", "query": "adela", "prompt": "After listening to the whole recording, output every instance of the word \"adela\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0006.flac", "task_type": "lexical_detection", "query": "belongs", "prompt": "Once the audio has finished, identify every instance of the word \"belongs\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0002.flac", "task_type": "semantic_counting", "query": "food", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a food name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0017.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Once the audio has finished, identify every instance of an animal name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0024.flac", "task_type": "lexical_detection", "query": "anniversary", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"anniversary\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0031.flac", "task_type": "lexical_detection", "query": "bears", "prompt": "After the audio ends, extract all occurrences of the word \"bears\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0033.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0009.flac", "task_type": "lexical_counting", "query": "appointed", "prompt": "Listen to the entire clip, then report the count sequence for the word \"appointed\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0081", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0081.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0021.flac", "task_type": "lexical_detection", "query": "attempts", "prompt": "When the utterance is complete, report all instances of the word \"attempts\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0010.flac", "task_type": "lexical_detection", "query": "answering", "prompt": "When the utterance is complete, report all instances of the word \"answering\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0046.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Once the audio has finished, identify every instance of a country name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0011.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After the audio ends, extract all occurrences of a profession. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0019.flac", "task_type": "lexical_detection", "query": "created", "prompt": "Process the full audio offline. Find every instance of the word \"created\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0040.flac", "task_type": "lexical_detection", "query": "amongst", "prompt": "Once the audio has finished, identify every instance of the word \"amongst\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0036.flac", "task_type": "lexical_detection", "query": "articulate", "prompt": "Process the full audio offline. Find every instance of the word \"articulate\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0020.flac", "task_type": "lexical_detection", "query": "beak", "prompt": "After the audio ends, extract all occurrences of the word \"beak\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0021.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "After listening to the whole recording, output timed count words for a family relation (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0023.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0047.flac", "task_type": "lexical_detection", "query": "compassion", "prompt": "Process the full audio offline. Find every instance of the word \"compassion\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0003.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Do not answer until the audio ends. Then list each instance of a plant name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0031.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0003.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Listen to the full audio. Count every occurrence of a country name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0015.flac", "task_type": "lexical_detection", "query": "affected", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"affected\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0010.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Do not answer until the audio ends. Then list each instance of a person's name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0000.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0066", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0066.flac", "task_type": "lexical_detection", "query": "brings", "prompt": "Process the full audio offline. Find every instance of the word \"brings\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0050.flac", "task_type": "lexical_detection", "query": "bodies", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"bodies\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0018.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0001.flac", "task_type": "lexical_detection", "query": "awkward", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"awkward\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0002.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0032.flac", "task_type": "lexical_detection", "query": "andros", "prompt": "Once the audio has finished, identify every instance of the word \"andros\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0035.flac", "task_type": "lexical_detection", "query": "boatmen", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"boatmen\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0039.flac", "task_type": "lexical_detection", "query": "bites", "prompt": "Once the audio has finished, identify every instance of the word \"bites\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0039.flac", "task_type": "lexical_detection", "query": "cost", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"cost\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0008.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0028.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0001.flac", "task_type": "lexical_detection", "query": "boil", "prompt": "Once the audio has finished, identify every instance of the word \"boil\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0018.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0000.flac", "task_type": "lexical_detection", "query": "carcases", "prompt": "Once the audio has finished, identify every instance of the word \"carcases\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0035.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0033.flac", "task_type": "lexical_detection", "query": "bat", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"bat\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0014.flac", "task_type": "lexical_detection", "query": "assistance", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"assistance\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0025.flac", "task_type": "lexical_detection", "query": "bundle", "prompt": "When the utterance is complete, report all instances of the word \"bundle\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0034.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0054.flac", "task_type": "lexical_detection", "query": "beating", "prompt": "When the utterance is complete, report all instances of the word \"beating\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0060", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0060.flac", "task_type": "lexical_detection", "query": "consort", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"consort\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0037.flac", "task_type": "lexical_detection", "query": "apparatus", "prompt": "After listening to the whole recording, output every instance of the word \"apparatus\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0016.flac", "task_type": "lexical_detection", "query": "breakfast", "prompt": "Process the full audio offline. Find every instance of the word \"breakfast\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0003.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen to the full audio. After it finishes, find every instance of a person's name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0054.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an animal name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0003.flac", "task_type": "lexical_detection", "query": "conflict", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"conflict\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0026.flac", "task_type": "lexical_detection", "query": "attending", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"attending\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0009.flac", "task_type": "lexical_detection", "query": "bother", "prompt": "After the audio ends, extract all occurrences of the word \"bother\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0001.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0001.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0010.flac", "task_type": "lexical_detection", "query": "aignan", "prompt": "After the audio ends, extract all occurrences of the word \"aignan\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0016.flac", "task_type": "lexical_detection", "query": "calm", "prompt": "After the audio ends, extract all occurrences of the word \"calm\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0028.flac", "task_type": "lexical_detection", "query": "chatting", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"chatting\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0030.flac", "task_type": "lexical_detection", "query": "brutal", "prompt": "When the utterance is complete, report all instances of the word \"brutal\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0024.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0105", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0105.flac", "task_type": "lexical_detection", "query": "armchair", "prompt": "When the utterance is complete, report all instances of the word \"armchair\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0020.flac", "task_type": "lexical_detection", "query": "blankets", "prompt": "Once the audio has finished, identify every instance of the word \"blankets\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0023.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0003.flac", "task_type": "lexical_detection", "query": "awake", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"awake\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0009.flac", "task_type": "lexical_detection", "query": "barbaree", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"barbaree\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0003.flac", "task_type": "lexical_detection", "query": "chess", "prompt": "After the audio ends, extract all occurrences of the word \"chess\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0049.flac", "task_type": "lexical_detection", "query": "colony", "prompt": "Once the audio has finished, identify every instance of the word \"colony\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0022.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Process the full audio offline. Find every instance of an organization name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0003.flac", "task_type": "semantic_counting", "query": "country", "prompt": "After the audio ends, tally every instance of a country name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0080", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0080.flac", "task_type": "lexical_detection", "query": "charged", "prompt": "Once the audio has finished, identify every instance of the word \"charged\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0000.flac", "task_type": "lexical_detection", "query": "beagle", "prompt": "Process the full audio offline. Find every instance of the word \"beagle\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0019.flac", "task_type": "lexical_detection", "query": "arrange", "prompt": "After the audio ends, extract all occurrences of the word \"arrange\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0006.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a family relation: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0015.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0000.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the full audio. After it finishes, find every instance of an ordinal number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0024.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Once the audio has finished, identify every instance of a city name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0004.flac", "task_type": "lexical_detection", "query": "belonging", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"belonging\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0011.flac", "task_type": "lexical_detection", "query": "commercial", "prompt": "When the utterance is complete, report all instances of the word \"commercial\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0005.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Once the audio has finished, identify every instance of a state or province name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0035.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0043.flac", "task_type": "lexical_detection", "query": "bigger", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"bigger\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0045.flac", "task_type": "lexical_detection", "query": "condemned", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"condemned\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0001.flac", "task_type": "lexical_detection", "query": "band", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"band\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0000.flac", "task_type": "semantic_counting", "query": "date", "prompt": "Listen to the full audio. Count every occurrence of a date. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0016.flac", "task_type": "lexical_counting", "query": "confidence", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"confidence\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0018.flac", "task_type": "lexical_detection", "query": "bottom", "prompt": "After the audio ends, extract all occurrences of the word \"bottom\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0011.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0004.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0032.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0001.flac", "task_type": "lexical_detection", "query": "blaze", "prompt": "After listening to the whole recording, output every instance of the word \"blaze\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0005.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an animal name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0010.flac", "task_type": "lexical_detection", "query": "bleed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"bleed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0000.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0032.flac", "task_type": "lexical_detection", "query": "brains", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"brains\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0040.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0044.flac", "task_type": "lexical_detection", "query": "bowing", "prompt": "After the audio ends, extract all occurrences of the word \"bowing\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0015.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0046.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0037.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0027.flac", "task_type": "lexical_detection", "query": "conceive", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"conceive\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0008.flac", "task_type": "lexical_detection", "query": "breathing", "prompt": "When the utterance is complete, report all instances of the word \"breathing\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0001.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0014.flac", "task_type": "lexical_detection", "query": "beggars", "prompt": "After listening to the whole recording, output every instance of the word \"beggars\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0009.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0002.flac", "task_type": "lexical_detection", "query": "cheerful", "prompt": "Process the full audio offline. Find every instance of the word \"cheerful\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0025.flac", "task_type": "lexical_detection", "query": "buoy", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"buoy\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0000.flac", "task_type": "lexical_detection", "query": "athens", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"athens\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0010.flac", "task_type": "lexical_detection", "query": "awful", "prompt": "When the utterance is complete, report all instances of the word \"awful\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0094", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0094.flac", "task_type": "lexical_detection", "query": "commit", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"commit\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0011.flac", "task_type": "lexical_detection", "query": "blurted", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"blurted\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0015.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a disease name (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0028.flac", "task_type": "lexical_detection", "query": "cap", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"cap\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0018.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0016.flac", "task_type": "lexical_detection", "query": "breaking", "prompt": "After the audio ends, extract all occurrences of the word \"breaking\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0002.flac", "task_type": "semantic_counting", "query": "color", "prompt": "After the audio ends, tally every instance of a color name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0012.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0010.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0000.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the full audio. After it finishes, find every instance of a profession. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0002.flac", "task_type": "lexical_detection", "query": "dominion", "prompt": "Once the audio has finished, identify every instance of the word \"dominion\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0025.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "When the utterance is complete, report how a weather term accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0052.flac", "task_type": "semantic_detection", "query": "food", "prompt": "You will hear a complete utterance. When it ends, list every instance of a food name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0015.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0031.flac", "task_type": "lexical_detection", "query": "brahmin", "prompt": "After listening to the whole recording, output every instance of the word \"brahmin\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0022.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0020.flac", "task_type": "lexical_detection", "query": "cautiously", "prompt": "When the utterance is complete, report all instances of the word \"cautiously\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0026.flac", "task_type": "lexical_detection", "query": "bottle", "prompt": "Once the audio has finished, identify every instance of the word \"bottle\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0004.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0065", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0065.flac", "task_type": "lexical_detection", "query": "belt", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"belt\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0037.flac", "task_type": "lexical_detection", "query": "clothes", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"clothes\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0052.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0025.flac", "task_type": "lexical_detection", "query": "behaved", "prompt": "After the audio ends, extract all occurrences of the word \"behaved\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0052.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a state or province name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0058.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0008.flac", "task_type": "lexical_detection", "query": "choice", "prompt": "After listening to the whole recording, output every instance of the word \"choice\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0022.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0002.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a weather term (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0093", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0093.flac", "task_type": "lexical_detection", "query": "adding", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"adding\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0010.flac", "task_type": "lexical_detection", "query": "blanket", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"blanket\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0017.flac", "task_type": "lexical_detection", "query": "colonies", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"colonies\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0045.flac", "task_type": "lexical_detection", "query": "confession", "prompt": "After the audio ends, extract all occurrences of the word \"confession\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0005.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen carefully to the entire clip, then report every instance of a profession as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0001.flac", "task_type": "lexical_counting", "query": "binnie", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"binnie\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0037.flac", "task_type": "lexical_detection", "query": "boots", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"boots\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0008.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0014.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0024.flac", "task_type": "lexical_detection", "query": "birth", "prompt": "After the audio ends, extract all occurrences of the word \"birth\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0005.flac", "task_type": "lexical_detection", "query": "assume", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"assume\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0022.flac", "task_type": "lexical_detection", "query": "cents", "prompt": "Once the audio has finished, identify every instance of the word \"cents\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0029.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, list every instance of a weather term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0028.flac", "task_type": "lexical_detection", "query": "bronze", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"bronze\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0064.flac", "task_type": "lexical_detection", "query": "burning", "prompt": "When the utterance is complete, report all instances of the word \"burning\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0043.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a plant name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0057", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0057.flac", "task_type": "lexical_detection", "query": "concern", "prompt": "Process the full audio offline. Find every instance of the word \"concern\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0012.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0023.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0009.flac", "task_type": "lexical_detection", "query": "buy", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"buy\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0059", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0059.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0007.flac", "task_type": "lexical_detection", "query": "chuckling", "prompt": "When the utterance is complete, report all instances of the word \"chuckling\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0014.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0029.flac", "task_type": "lexical_detection", "query": "cent", "prompt": "Once the audio has finished, identify every instance of the word \"cent\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0006.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "Listen to the full audio. Count every occurrence of a disease name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0000.flac", "task_type": "lexical_detection", "query": "conservatism", "prompt": "When the utterance is complete, report all instances of the word \"conservatism\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0000.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Process the full audio offline. Find every instance of a color name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0003.flac", "task_type": "lexical_detection", "query": "boasting", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"boasting\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0001.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0008.flac", "task_type": "lexical_detection", "query": "clothing", "prompt": "When the utterance is complete, report all instances of the word \"clothing\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0026.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Do not answer until the audio ends. Then list each instance of a city name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0016.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0001.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0006.flac", "task_type": "lexical_detection", "query": "authority", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"authority\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0036.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the full audio. After it finishes, find every instance of a money or currency term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0021.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a person's name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0000.flac", "task_type": "lexical_detection", "query": "carpenter", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"carpenter\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0031.flac", "task_type": "lexical_detection", "query": "canter", "prompt": "After the audio ends, extract all occurrences of the word \"canter\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0037.flac", "task_type": "lexical_detection", "query": "boldly", "prompt": "After the audio ends, extract all occurrences of the word \"boldly\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0013.flac", "task_type": "lexical_detection", "query": "attractive", "prompt": "Once the audio has finished, identify every instance of the word \"attractive\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0009.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0068", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0068.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0019.flac", "task_type": "lexical_detection", "query": "creature", "prompt": "When the utterance is complete, report all instances of the word \"creature\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0013.flac", "task_type": "lexical_detection", "query": "echoed", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"echoed\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0030.flac", "task_type": "lexical_detection", "query": "cab", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"cab\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0015.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0018.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0031.flac", "task_type": "lexical_detection", "query": "converse", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"converse\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0009.flac", "task_type": "lexical_detection", "query": "bitterly", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"bitterly\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0017.flac", "task_type": "lexical_detection", "query": "consequently", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"consequently\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0009.flac", "task_type": "semantic_counting", "query": "money", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a money or currency term: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0044.flac", "task_type": "lexical_detection", "query": "cargo", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"cargo\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0000.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0025.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0027.flac", "task_type": "lexical_detection", "query": "clouds", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"clouds\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0034.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0001.flac", "task_type": "lexical_detection", "query": "counted", "prompt": "After listening to the whole recording, output every instance of the word \"counted\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0006.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0006.flac", "task_type": "lexical_detection", "query": "collected", "prompt": "Once the audio has finished, identify every instance of the word \"collected\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0000.flac", "task_type": "lexical_detection", "query": "crossing", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"crossing\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0010.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "When the utterance is complete, report all instances of a state or province name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0014.flac", "task_type": "lexical_detection", "query": "document", "prompt": "When the utterance is complete, report all instances of the word \"document\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0070", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0070.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After listening to the whole recording, output every instance of a money or currency term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0003.flac", "task_type": "lexical_detection", "query": "catering", "prompt": "When the utterance is complete, report all instances of the word \"catering\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0063.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "Once the audio has finished, list each occurrence of an ordinal number as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0021.flac", "task_type": "lexical_detection", "query": "clock", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"clock\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0019.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0039.flac", "task_type": "lexical_detection", "query": "bruno", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"bruno\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0017.flac", "task_type": "lexical_detection", "query": "connecticut", "prompt": "After the audio ends, extract all occurrences of the word \"connecticut\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0012.flac", "task_type": "lexical_detection", "query": "brown", "prompt": "Once the audio has finished, identify every instance of the word \"brown\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0053.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0005.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Once the audio has finished, list each occurrence of a plant name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0029.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0036.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0007.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0034.flac", "task_type": "lexical_detection", "query": "chin", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"chin\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0007.flac", "task_type": "lexical_detection", "query": "comfortable", "prompt": "Process the full audio offline. Find every instance of the word \"comfortable\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0001.flac", "task_type": "lexical_detection", "query": "credit", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"credit\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0052.flac", "task_type": "lexical_detection", "query": "dives", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"dives\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0026.flac", "task_type": "lexical_counting", "query": "beg", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"beg\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0036.flac", "task_type": "lexical_detection", "query": "comment", "prompt": "After the audio ends, extract all occurrences of the word \"comment\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0005.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0004.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the full audio. After it finishes, find every instance of a profession. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0014.flac", "task_type": "lexical_detection", "query": "bloom", "prompt": "After listening to the whole recording, output every instance of the word \"bloom\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0010.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Once the audio has finished, identify every instance of a money or currency term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0001.flac", "task_type": "lexical_detection", "query": "cruel", "prompt": "Once the audio has finished, identify every instance of the word \"cruel\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0031.flac", "task_type": "lexical_detection", "query": "camp", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"camp\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0026.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0008.flac", "task_type": "lexical_detection", "query": "chief", "prompt": "Once the audio has finished, identify every instance of the word \"chief\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0014.flac", "task_type": "lexical_detection", "query": "arkwright", "prompt": "After listening to the whole recording, output every instance of the word \"arkwright\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0010.flac", "task_type": "lexical_counting", "query": "enforced", "prompt": "After the audio ends, tally every instance of the word \"enforced\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0004.flac", "task_type": "lexical_detection", "query": "changes", "prompt": "After listening to the whole recording, output every instance of the word \"changes\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0039.flac", "task_type": "lexical_detection", "query": "completely", "prompt": "When the utterance is complete, report all instances of the word \"completely\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0024.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "When the utterance is complete, report how an ordinal number accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0010.flac", "task_type": "lexical_detection", "query": "built", "prompt": "Once the audio has finished, identify every instance of the word \"built\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0019.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "When the utterance is complete, report all instances of a plant name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0020.flac", "task_type": "lexical_detection", "query": "crushing", "prompt": "After the audio ends, extract all occurrences of the word \"crushing\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0072", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0072.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0026.flac", "task_type": "lexical_detection", "query": "brothers", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"brothers\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0001.flac", "task_type": "lexical_detection", "query": "destroy", "prompt": "When the utterance is complete, report all instances of the word \"destroy\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0004.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0037.flac", "task_type": "lexical_detection", "query": "courtyard", "prompt": "When the utterance is complete, report all instances of the word \"courtyard\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0002.flac", "task_type": "lexical_detection", "query": "cage", "prompt": "Process the full audio offline. Find every instance of the word \"cage\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0012.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0029.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0025.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0012.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0005.flac", "task_type": "lexical_counting", "query": "cambrai", "prompt": "After listening to the whole recording, output timed count words for the word \"cambrai\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0010.flac", "task_type": "lexical_detection", "query": "dates", "prompt": "After listening to the whole recording, output every instance of the word \"dates\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0029.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen carefully to the entire clip, then report every instance of a plant name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0003.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0041.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After listening to the whole recording, output every instance of a number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0026.flac", "task_type": "lexical_detection", "query": "dialogue", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"dialogue\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0001.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0011.flac", "task_type": "lexical_detection", "query": "chosen", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"chosen\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0032.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After the audio ends, extract all occurrences of an organization name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0005.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0000.flac", "task_type": "lexical_detection", "query": "conventional", "prompt": "Once the audio has finished, identify every instance of the word \"conventional\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0014.flac", "task_type": "lexical_detection", "query": "cultivate", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"cultivate\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0007.flac", "task_type": "lexical_detection", "query": "curly", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"curly\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0011.flac", "task_type": "lexical_detection", "query": "deny", "prompt": "After the audio ends, extract all occurrences of the word \"deny\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0017.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0016.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0022.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a weather term with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0014.flac", "task_type": "lexical_counting", "query": "confound", "prompt": "Listen to the entire clip, then report the count sequence for the word \"confound\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0015.flac", "task_type": "lexical_detection", "query": "bird", "prompt": "Process the full audio offline. Find every instance of the word \"bird\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0020.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0005.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0016.flac", "task_type": "lexical_detection", "query": "cupboard", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"cupboard\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0017.flac", "task_type": "lexical_detection", "query": "covet", "prompt": "After the audio ends, extract all occurrences of the word \"covet\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0007.flac", "task_type": "lexical_detection", "query": "decorated", "prompt": "After listening to the whole recording, output every instance of the word \"decorated\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0008.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0005.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0011.flac", "task_type": "lexical_detection", "query": "containing", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"containing\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0025.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen carefully to the entire clip, then report every instance of a plant name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0006.flac", "task_type": "lexical_detection", "query": "bid", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"bid\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0012.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0000.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0000.flac", "task_type": "lexical_detection", "query": "conspicuous", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"conspicuous\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0001.flac", "task_type": "lexical_detection", "query": "brow", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"brow\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0006.flac", "task_type": "lexical_detection", "query": "concluded", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"concluded\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0001.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0012.flac", "task_type": "lexical_detection", "query": "concerts", "prompt": "Process the full audio offline. Find every instance of the word \"concerts\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0030.flac", "task_type": "lexical_detection", "query": "carefully", "prompt": "After listening to the whole recording, output every instance of the word \"carefully\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0004.flac", "task_type": "lexical_detection", "query": "confident", "prompt": "After the audio ends, extract all occurrences of the word \"confident\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0004.flac", "task_type": "lexical_detection", "query": "disobeyed", "prompt": "When the utterance is complete, report all instances of the word \"disobeyed\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0063.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0012.flac", "task_type": "lexical_counting", "query": "cheerfully", "prompt": "After listening to the whole recording, output timed count words for the word \"cheerfully\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0025.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0008.flac", "task_type": "lexical_detection", "query": "deliverance", "prompt": "After the audio ends, extract all occurrences of the word \"deliverance\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0000.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0025.flac", "task_type": "lexical_detection", "query": "dinners", "prompt": "After listening to the whole recording, output every instance of the word \"dinners\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0007.flac", "task_type": "lexical_detection", "query": "daily", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"daily\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0011.flac", "task_type": "lexical_detection", "query": "draws", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"draws\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0024.flac", "task_type": "lexical_detection", "query": "detected", "prompt": "When the utterance is complete, report all instances of the word \"detected\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0011.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "After the audio ends, tally every instance of a state or province name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0068", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0068.flac", "task_type": "lexical_detection", "query": "coins", "prompt": "After the audio ends, extract all occurrences of the word \"coins\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0059", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0059.flac", "task_type": "lexical_detection", "query": "continuance", "prompt": "Once the audio has finished, identify every instance of the word \"continuance\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0028.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0013.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0002.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0003.flac", "task_type": "lexical_detection", "query": "disregarded", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"disregarded\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0023.flac", "task_type": "lexical_detection", "query": "exclusively", "prompt": "After the audio ends, extract all occurrences of the word \"exclusively\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0023.flac", "task_type": "lexical_detection", "query": "eve", "prompt": "Once the audio has finished, identify every instance of the word \"eve\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0006.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen carefully to the entire clip, then report every instance of a country name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0000.flac", "task_type": "semantic_counting", "query": "date", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a date with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0012.flac", "task_type": "lexical_detection", "query": "cloud", "prompt": "Process the full audio offline. Find every instance of the word \"cloud\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0015.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0017.flac", "task_type": "lexical_detection", "query": "charity", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"charity\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0009.flac", "task_type": "lexical_detection", "query": "builds", "prompt": "Process the full audio offline. Find every instance of the word \"builds\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0019.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0019.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "When the utterance is complete, report all instances of a body part including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0027.flac", "task_type": "lexical_detection", "query": "avoid", "prompt": "Process the full audio offline. Find every instance of the word \"avoid\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0020.flac", "task_type": "lexical_counting", "query": "delights", "prompt": "Listen to the entire clip, then report the count sequence for the word \"delights\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0004.flac", "task_type": "semantic_counting", "query": "food", "prompt": "Once the audio has finished, list each occurrence of a food name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0044.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0017.flac", "task_type": "lexical_detection", "query": "cloak", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"cloak\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0008.flac", "task_type": "lexical_counting", "query": "defend", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"defend\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0004.flac", "task_type": "semantic_detection", "query": "country", "prompt": "When the utterance is complete, report all instances of a country name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0004.flac", "task_type": "lexical_detection", "query": "blame", "prompt": "After the audio ends, extract all occurrences of the word \"blame\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0011.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0020.flac", "task_type": "lexical_detection", "query": "clung", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"clung\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0006.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After listening to the whole recording, output every instance of a city name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0001.flac", "task_type": "lexical_detection", "query": "chains", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"chains\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0069", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0069.flac", "task_type": "lexical_detection", "query": "cigar", "prompt": "When the utterance is complete, report all instances of the word \"cigar\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0029.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0019.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0012.flac", "task_type": "lexical_detection", "query": "copse", "prompt": "After the audio ends, extract all occurrences of the word \"copse\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0015.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0002.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0002.flac", "task_type": "lexical_detection", "query": "distinction", "prompt": "Process the full audio offline. Find every instance of the word \"distinction\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0006.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0056.flac", "task_type": "lexical_detection", "query": "bounded", "prompt": "Once the audio has finished, identify every instance of the word \"bounded\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0022.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0113", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0113.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After listening to the whole recording, output every instance of a person's name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0031.flac", "task_type": "lexical_detection", "query": "avonlea", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"avonlea\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0021.flac", "task_type": "lexical_detection", "query": "corpse", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"corpse\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0045.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0008.flac", "task_type": "lexical_detection", "query": "contained", "prompt": "After the audio ends, extract all occurrences of the word \"contained\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0015.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0008.flac", "task_type": "lexical_detection", "query": "commonplace", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"commonplace\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0026.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0049.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0081", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0081.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0051.flac", "task_type": "lexical_detection", "query": "ere", "prompt": "Process the full audio offline. Find every instance of the word \"ere\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0002.flac", "task_type": "lexical_detection", "query": "carts", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"carts\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0043.flac", "task_type": "lexical_detection", "query": "communicate", "prompt": "After the audio ends, extract all occurrences of the word \"communicate\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0001.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After listening to the whole recording, output every instance of a family relation with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0008.flac", "task_type": "lexical_detection", "query": "friday", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"friday\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0055.flac", "task_type": "lexical_detection", "query": "chances", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"chances\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0021.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen carefully to the entire clip, then report every instance of a time of day as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0008.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After the audio ends, extract all occurrences of a person's name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0007.flac", "task_type": "lexical_counting", "query": "disgrace", "prompt": "Once the audio has finished, list each occurrence of the word \"disgrace\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0019.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a state or province name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0010.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0064.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0002.flac", "task_type": "lexical_detection", "query": "brushed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"brushed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0030.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0012.flac", "task_type": "lexical_detection", "query": "cord", "prompt": "Once the audio has finished, identify every instance of the word \"cord\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0008.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0015.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an ordinal number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0056.flac", "task_type": "lexical_detection", "query": "directions", "prompt": "After listening to the whole recording, output every instance of the word \"directions\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0015.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "You will hear a complete utterance. When it ends, list every instance of a person's name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0025.flac", "task_type": "semantic_counting", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a number (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0064.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0013.flac", "task_type": "lexical_detection", "query": "horseback", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"horseback\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0005.flac", "task_type": "lexical_detection", "query": "east", "prompt": "Process the full audio offline. Find every instance of the word \"east\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0003.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0031.flac", "task_type": "lexical_detection", "query": "devoted", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"devoted\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0004.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Once the audio has finished, identify every instance of a country name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0032.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After listening to the whole recording, output every instance of a city name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0054.flac", "task_type": "lexical_counting", "query": "fathers", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"fathers\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0006.flac", "task_type": "lexical_detection", "query": "climb", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"climb\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0004.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a body part with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0006.flac", "task_type": "lexical_detection", "query": "earnest", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"earnest\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0040.flac", "task_type": "lexical_detection", "query": "duck", "prompt": "After listening to the whole recording, output every instance of the word \"duck\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0021.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0013.flac", "task_type": "lexical_counting", "query": "disadvantage", "prompt": "After the audio ends, tally every instance of the word \"disadvantage\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0053.flac", "task_type": "lexical_detection", "query": "continent", "prompt": "When the utterance is complete, report all instances of the word \"continent\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0033.flac", "task_type": "lexical_detection", "query": "doll", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"doll\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0024.flac", "task_type": "lexical_detection", "query": "discretion", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"discretion\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0031.flac", "task_type": "lexical_detection", "query": "embarked", "prompt": "When the utterance is complete, report all instances of the word \"embarked\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0014.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0018.flac", "task_type": "lexical_detection", "query": "douglas", "prompt": "After listening to the whole recording, output every instance of the word \"douglas\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0028.flac", "task_type": "semantic_counting", "query": "city", "prompt": "Once the audio has finished, list each occurrence of a city name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0010.flac", "task_type": "lexical_detection", "query": "dogmas", "prompt": "After the audio ends, extract all occurrences of the word \"dogmas\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0005.flac", "task_type": "lexical_detection", "query": "description", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"description\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0052.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0029.flac", "task_type": "lexical_detection", "query": "consented", "prompt": "After listening to the whole recording, output every instance of the word \"consented\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0021.flac", "task_type": "lexical_counting", "query": "brass", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"brass\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0016.flac", "task_type": "lexical_detection", "query": "equinox", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"equinox\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0104", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0104.flac", "task_type": "lexical_detection", "query": "element", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"element\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0093", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0093.flac", "task_type": "lexical_detection", "query": "delicate", "prompt": "Process the full audio offline. Find every instance of the word \"delicate\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0100", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0100.flac", "task_type": "lexical_detection", "query": "counsel", "prompt": "Process the full audio offline. Find every instance of the word \"counsel\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0006.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "Once the audio has finished, list each occurrence of an ordinal number as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0042.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen carefully to the entire clip, then report every instance of a time of day as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0015.flac", "task_type": "lexical_detection", "query": "bread", "prompt": "When the utterance is complete, report all instances of the word \"bread\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0018.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0043.flac", "task_type": "lexical_detection", "query": "ensued", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"ensued\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0048.flac", "task_type": "lexical_detection", "query": "dutch", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"dutch\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0042.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0047.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0003.flac", "task_type": "lexical_detection", "query": "contracted", "prompt": "Process the full audio offline. Find every instance of the word \"contracted\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0047.flac", "task_type": "lexical_detection", "query": "annoyed", "prompt": "Process the full audio offline. Find every instance of the word \"annoyed\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0014.flac", "task_type": "lexical_detection", "query": "cured", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"cured\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0025.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "You will hear a complete utterance. When it ends, list every instance of a body part you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0005.flac", "task_type": "lexical_counting", "query": "completed", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"completed\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0009.flac", "task_type": "lexical_detection", "query": "castle", "prompt": "After listening to the whole recording, output every instance of the word \"castle\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0009.flac", "task_type": "lexical_detection", "query": "coats", "prompt": "After the audio ends, extract all occurrences of the word \"coats\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0036.flac", "task_type": "lexical_detection", "query": "everywhere", "prompt": "When the utterance is complete, report all instances of the word \"everywhere\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0018.flac", "task_type": "lexical_detection", "query": "fence", "prompt": "After the audio ends, extract all occurrences of the word \"fence\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0027.flac", "task_type": "lexical_detection", "query": "dynamo", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"dynamo\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0003.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After the audio ends, extract all occurrences of an organization name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0002.flac", "task_type": "lexical_detection", "query": "entirely", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"entirely\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0005.flac", "task_type": "semantic_counting", "query": "city", "prompt": "Once the audio has finished, list each occurrence of a city name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0006.flac", "task_type": "lexical_detection", "query": "crew", "prompt": "After the audio ends, extract all occurrences of the word \"crew\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0020.flac", "task_type": "lexical_detection", "query": "fearfully", "prompt": "After listening to the whole recording, output every instance of the word \"fearfully\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0008.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Once the audio has finished, identify every instance of a weather term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0006.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0014.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Listen to the entire clip, then report the count sequence for a state or province name as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0013.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen carefully to the entire clip, then report every instance of an animal name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0022.flac", "task_type": "lexical_detection", "query": "chose", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"chose\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0007.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Once the audio has finished, identify every instance of a city name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0010.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After the audio ends, extract all occurrences of a profession. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0029.flac", "task_type": "lexical_detection", "query": "drank", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"drank\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0063.flac", "task_type": "lexical_detection", "query": "cornwall", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"cornwall\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0029.flac", "task_type": "lexical_detection", "query": "compromised", "prompt": "After listening to the whole recording, output every instance of the word \"compromised\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0028.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "When the utterance is complete, report all instances of a state or province name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0061", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0061.flac", "task_type": "lexical_detection", "query": "dawned", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"dawned\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0006.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0031.flac", "task_type": "semantic_counting", "query": "date", "prompt": "After the audio ends, tally every instance of a date. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0028.flac", "task_type": "lexical_detection", "query": "debts", "prompt": "Process the full audio offline. Find every instance of the word \"debts\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0013.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After listening to the whole recording, output every instance of a plant name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0005.flac", "task_type": "lexical_detection", "query": "create", "prompt": "Once the audio has finished, identify every instance of the word \"create\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0035.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0021.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After the audio ends, extract all occurrences of a family relation. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0001.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0011.flac", "task_type": "lexical_detection", "query": "flattered", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"flattered\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0021.flac", "task_type": "lexical_detection", "query": "despise", "prompt": "Once the audio has finished, identify every instance of the word \"despise\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0029.flac", "task_type": "lexical_detection", "query": "deeper", "prompt": "Process the full audio offline. Find every instance of the word \"deeper\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0006.flac", "task_type": "lexical_detection", "query": "disagreeable", "prompt": "After the audio ends, extract all occurrences of the word \"disagreeable\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0023.flac", "task_type": "lexical_detection", "query": "enid", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"enid\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0060", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0060.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0008.flac", "task_type": "lexical_detection", "query": "hated", "prompt": "When the utterance is complete, report all instances of the word \"hated\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0005.flac", "task_type": "lexical_detection", "query": "discover", "prompt": "Once the audio has finished, identify every instance of the word \"discover\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0010.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0037.flac", "task_type": "lexical_counting", "query": "debate", "prompt": "Process the full audio offline. For every occurrence of the word \"debate\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0003.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "When the utterance is complete, report all instances of a state or province name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0014.flac", "task_type": "lexical_detection", "query": "exercised", "prompt": "After the audio ends, extract all occurrences of the word \"exercised\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0028.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0007.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "You will hear a complete utterance. When it ends, list every instance of a body part you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0008.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, list every instance of a profession you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0019.flac", "task_type": "lexical_counting", "query": "decide", "prompt": "Listen to the entire clip, then report the count sequence for the word \"decide\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0017.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After the audio ends, extract all occurrences of a food name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0044.flac", "task_type": "lexical_detection", "query": "finding", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"finding\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0050.flac", "task_type": "lexical_detection", "query": "examine", "prompt": "When the utterance is complete, report all instances of the word \"examine\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0046.flac", "task_type": "lexical_detection", "query": "cities", "prompt": "After listening to the whole recording, output every instance of the word \"cities\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0001.flac", "task_type": "lexical_detection", "query": "construction", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"construction\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0000.flac", "task_type": "lexical_detection", "query": "corn", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"corn\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0006.flac", "task_type": "lexical_detection", "query": "custom", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"custom\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0032.flac", "task_type": "lexical_detection", "query": "fifth", "prompt": "Once the audio has finished, identify every instance of the word \"fifth\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0038.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0001.flac", "task_type": "lexical_detection", "query": "designs", "prompt": "After the audio ends, extract all occurrences of the word \"designs\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0005.flac", "task_type": "lexical_detection", "query": "established", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"established\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0022.flac", "task_type": "lexical_detection", "query": "fit", "prompt": "Once the audio has finished, identify every instance of the word \"fit\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0013.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0012.flac", "task_type": "lexical_counting", "query": "exercise", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"exercise\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0005.flac", "task_type": "lexical_detection", "query": "current", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"current\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0035.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0002.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Once the audio has finished, identify every instance of a country name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0019.flac", "task_type": "lexical_detection", "query": "fairies", "prompt": "After listening to the whole recording, output every instance of the word \"fairies\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0008.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0011.flac", "task_type": "lexical_detection", "query": "distinct", "prompt": "When the utterance is complete, report all instances of the word \"distinct\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0016.flac", "task_type": "semantic_detection", "query": "city", "prompt": "When the utterance is complete, report all instances of a city name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0007.flac", "task_type": "lexical_counting", "query": "highly", "prompt": "Once the audio has finished, list each occurrence of the word \"highly\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0023.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0030.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0025.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, list every instance of a profession you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0019.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a weather term: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0024.flac", "task_type": "lexical_detection", "query": "dragged", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"dragged\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0026.flac", "task_type": "lexical_detection", "query": "fastened", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"fastened\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0014.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Process the full audio offline. Find every instance of a time of day and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0000.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0006.flac", "task_type": "lexical_detection", "query": "hath", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"hath\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0036.flac", "task_type": "lexical_detection", "query": "defeated", "prompt": "After the audio ends, extract all occurrences of the word \"defeated\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0024.flac", "task_type": "lexical_detection", "query": "income", "prompt": "Process the full audio offline. Find every instance of the word \"income\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0049.flac", "task_type": "lexical_detection", "query": "deceased", "prompt": "Process the full audio offline. Find every instance of the word \"deceased\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0009.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0024.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0042.flac", "task_type": "lexical_detection", "query": "francs", "prompt": "After listening to the whole recording, output every instance of the word \"francs\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0016.flac", "task_type": "lexical_detection", "query": "colour", "prompt": "After listening to the whole recording, output every instance of the word \"colour\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0026.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "When the utterance is complete, report all instances of a state or province name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0001.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the full audio. After it finishes, find every instance of a time of day. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0019.flac", "task_type": "lexical_detection", "query": "estimate", "prompt": "After the audio ends, extract all occurrences of the word \"estimate\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0003.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0006.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "When the utterance is complete, report all instances of a person's name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0012.flac", "task_type": "lexical_detection", "query": "fears", "prompt": "When the utterance is complete, report all instances of the word \"fears\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0004.flac", "task_type": "lexical_detection", "query": "farmer", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"farmer\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0008.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0005.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After the audio ends, extract all occurrences of an organization name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0010.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "After listening to the whole recording, output timed count words for a family relation (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0019.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen carefully to the entire clip, then report every instance of a plant name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0018.flac", "task_type": "semantic_detection", "query": "country", "prompt": "When the utterance is complete, report all instances of a country name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0049.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0037.flac", "task_type": "lexical_detection", "query": "dashing", "prompt": "Once the audio has finished, identify every instance of the word \"dashing\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0034.flac", "task_type": "lexical_detection", "query": "downy", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"downy\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0002.flac", "task_type": "lexical_detection", "query": "factory", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"factory\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0007.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0051.flac", "task_type": "lexical_detection", "query": "exquisite", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"exquisite\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0003.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a body part with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0013.flac", "task_type": "lexical_detection", "query": "directing", "prompt": "When the utterance is complete, report all instances of the word \"directing\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0013.flac", "task_type": "lexical_detection", "query": "edge", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"edge\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0009.flac", "task_type": "lexical_detection", "query": "criminal", "prompt": "Process the full audio offline. Find every instance of the word \"criminal\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0016.flac", "task_type": "lexical_detection", "query": "eventually", "prompt": "After the audio ends, extract all occurrences of the word \"eventually\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0016.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0017.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0007.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After listening to the whole recording, output every instance of a money or currency term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0004.flac", "task_type": "lexical_detection", "query": "goods", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"goods\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0027.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the full audio. After it finishes, find every instance of a money or currency term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0003.flac", "task_type": "lexical_detection", "query": "heirloom", "prompt": "After listening to the whole recording, output every instance of the word \"heirloom\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0010.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0052.flac", "task_type": "lexical_detection", "query": "earn", "prompt": "Once the audio has finished, identify every instance of the word \"earn\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0006.flac", "task_type": "lexical_detection", "query": "favouring", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"favouring\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0008.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen carefully to the entire clip, then report every instance of a plant name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0031.flac", "task_type": "lexical_detection", "query": "corrected", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"corrected\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0031.flac", "task_type": "lexical_detection", "query": "fiercely", "prompt": "Process the full audio offline. Find every instance of the word \"fiercely\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0014.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0032.flac", "task_type": "lexical_detection", "query": "dressing", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"dressing\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0017.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0008.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0026.flac", "task_type": "lexical_detection", "query": "feebly", "prompt": "Process the full audio offline. Find every instance of the word \"feebly\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0014.flac", "task_type": "lexical_detection", "query": "downstairs", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"downstairs\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0006.flac", "task_type": "lexical_counting", "query": "handed", "prompt": "Listen to the entire clip, then report the count sequence for the word \"handed\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0005.flac", "task_type": "lexical_detection", "query": "fraught", "prompt": "After listening to the whole recording, output every instance of the word \"fraught\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0028.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0005.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0014.flac", "task_type": "lexical_counting", "query": "familiar", "prompt": "After listening to the whole recording, output timed count words for the word \"familiar\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0005.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Once the audio has finished, identify every instance of an animal name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0010.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0012.flac", "task_type": "lexical_detection", "query": "confused", "prompt": "Process the full audio offline. Find every instance of the word \"confused\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0010.flac", "task_type": "lexical_detection", "query": "forage", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"forage\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0006.flac", "task_type": "lexical_detection", "query": "git", "prompt": "After listening to the whole recording, output every instance of the word \"git\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0023.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0004.flac", "task_type": "lexical_counting", "query": "darker", "prompt": "After the audio ends, tally every instance of the word \"darker\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0004.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0049.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0032.flac", "task_type": "lexical_detection", "query": "fool", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"fool\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0000.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After the audio ends, extract all occurrences of a family relation. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0001.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0013.flac", "task_type": "lexical_detection", "query": "famous", "prompt": "After listening to the whole recording, output every instance of the word \"famous\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0062", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0062.flac", "task_type": "lexical_detection", "query": "farther", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"farther\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0003.flac", "task_type": "semantic_counting", "query": "date", "prompt": "After listening to the whole recording, output timed count words for a date (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0014.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0009.flac", "task_type": "lexical_counting", "query": "everyone", "prompt": "Listen to the full audio. Count every occurrence of the word \"everyone\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0024.flac", "task_type": "lexical_detection", "query": "forces", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"forces\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0038.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0025.flac", "task_type": "semantic_counting", "query": "organization", "prompt": "After listening to the whole recording, output timed count words for an organization name (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0003.flac", "task_type": "lexical_detection", "query": "dwell", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"dwell\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0002.flac", "task_type": "lexical_counting", "query": "harder", "prompt": "Once the audio has finished, list each occurrence of the word \"harder\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0005.flac", "task_type": "lexical_detection", "query": "elastic", "prompt": "After listening to the whole recording, output every instance of the word \"elastic\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0016.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0098", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0098.flac", "task_type": "lexical_detection", "query": "dog", "prompt": "Process the full audio offline. Find every instance of the word \"dog\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0051.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Once the audio has finished, identify every instance of a state or province name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0005.flac", "task_type": "lexical_detection", "query": "erbin", "prompt": "Process the full audio offline. Find every instance of the word \"erbin\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0026.flac", "task_type": "semantic_detection", "query": "country", "prompt": "You will hear a complete utterance. When it ends, list every instance of a country name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0013.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0005.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Once the audio has finished, identify every instance of a country name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0028.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen to the full audio. After it finishes, find every instance of a person's name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0114", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0114.flac", "task_type": "lexical_detection", "query": "feed", "prompt": "After the audio ends, extract all occurrences of the word \"feed\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0015.flac", "task_type": "lexical_detection", "query": "france", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"france\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0018.flac", "task_type": "lexical_detection", "query": "foremost", "prompt": "After listening to the whole recording, output every instance of the word \"foremost\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0002.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0009.flac", "task_type": "lexical_detection", "query": "guinea", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"guinea\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0021.flac", "task_type": "lexical_detection", "query": "flung", "prompt": "Process the full audio offline. Find every instance of the word \"flung\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0005.flac", "task_type": "lexical_detection", "query": "fingers", "prompt": "After the audio ends, extract all occurrences of the word \"fingers\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0014.flac", "task_type": "lexical_detection", "query": "conditions", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"conditions\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0004.flac", "task_type": "lexical_detection", "query": "garrison", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"garrison\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0013.flac", "task_type": "lexical_detection", "query": "excepted", "prompt": "After listening to the whole recording, output every instance of the word \"excepted\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0102", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0102.flac", "task_type": "lexical_detection", "query": "eighty", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"eighty\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0055.flac", "task_type": "lexical_detection", "query": "eat", "prompt": "After the audio ends, extract all occurrences of the word \"eat\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0058.flac", "task_type": "lexical_detection", "query": "flies", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"flies\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0016.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0016.flac", "task_type": "lexical_detection", "query": "instructions", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"instructions\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0023.flac", "task_type": "lexical_detection", "query": "ferdinand", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"ferdinand\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0031.flac", "task_type": "lexical_detection", "query": "finger", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"finger\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0030.flac", "task_type": "lexical_detection", "query": "henceforth", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"henceforth\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0024.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After the audio ends, extract all occurrences of a food name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0008.flac", "task_type": "lexical_detection", "query": "entrance", "prompt": "Once the audio has finished, identify every instance of the word \"entrance\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0017.flac", "task_type": "lexical_detection", "query": "helping", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"helping\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0050.flac", "task_type": "lexical_detection", "query": "gain", "prompt": "After listening to the whole recording, output every instance of the word \"gain\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0026.flac", "task_type": "lexical_detection", "query": "fairy", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"fairy\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0028.flac", "task_type": "lexical_detection", "query": "enjoyed", "prompt": "After the audio ends, extract all occurrences of the word \"enjoyed\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0024.flac", "task_type": "lexical_detection", "query": "fancy", "prompt": "After the audio ends, extract all occurrences of the word \"fancy\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0019.flac", "task_type": "semantic_detection", "query": "city", "prompt": "When the utterance is complete, report all instances of a city name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0009.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245715-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245715/7697-245715-0002.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "You will hear a complete utterance. When it ends, list every instance of a body part you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0028.flac", "task_type": "lexical_detection", "query": "eldest", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"eldest\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0007.flac", "task_type": "lexical_detection", "query": "departed", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"departed\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0034.flac", "task_type": "lexical_detection", "query": "hint", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"hint\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0005.flac", "task_type": "lexical_detection", "query": "duration", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"duration\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0005.flac", "task_type": "lexical_detection", "query": "enraged", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"enraged\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0001.flac", "task_type": "lexical_counting", "query": "expressive", "prompt": "Once the audio has finished, list each occurrence of the word \"expressive\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0024.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Once the audio has finished, identify every instance of a body part. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0006.flac", "task_type": "lexical_detection", "query": "harmony", "prompt": "Once the audio has finished, identify every instance of the word \"harmony\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0040.flac", "task_type": "lexical_detection", "query": "hesitation", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"hesitation\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0015.flac", "task_type": "lexical_detection", "query": "foe", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"foe\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0005.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0004.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the full audio. After it finishes, find every instance of a profession. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0012.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen carefully to the entire clip, then report every instance of a profession as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0001.flac", "task_type": "lexical_detection", "query": "false", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"false\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0026.flac", "task_type": "lexical_detection", "query": "exclusion", "prompt": "Once the audio has finished, identify every instance of the word \"exclusion\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0052.flac", "task_type": "lexical_detection", "query": "hence", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"hence\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0030.flac", "task_type": "lexical_detection", "query": "crown", "prompt": "After listening to the whole recording, output every instance of the word \"crown\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0012.flac", "task_type": "lexical_detection", "query": "felice", "prompt": "Process the full audio offline. Find every instance of the word \"felice\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0001.flac", "task_type": "lexical_detection", "query": "inhabitants", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"inhabitants\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0028.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After listening to the whole recording, output every instance of a weather term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0005.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen carefully to the entire clip, then report every instance of a profession as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0046.flac", "task_type": "lexical_detection", "query": "gladness", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"gladness\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0079", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0079.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0013.flac", "task_type": "lexical_detection", "query": "handkerchief", "prompt": "After listening to the whole recording, output every instance of the word \"handkerchief\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0067", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0067.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen carefully to the entire clip, then report every instance of a city name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0013.flac", "task_type": "lexical_detection", "query": "forever", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"forever\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0033.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0026.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0016.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a person's name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0033.flac", "task_type": "lexical_detection", "query": "fails", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"fails\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0027.flac", "task_type": "lexical_detection", "query": "gifts", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"gifts\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0009.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0022.flac", "task_type": "lexical_detection", "query": "fleece", "prompt": "Once the audio has finished, identify every instance of the word \"fleece\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0081", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0081.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After the audio ends, extract all occurrences of a food name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0000.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0006.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the full audio. After it finishes, find every instance of a body part. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0061", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0061.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a person's name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0066", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0066.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "When the utterance is complete, report all instances of an animal name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0036.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0010.flac", "task_type": "lexical_detection", "query": "energies", "prompt": "Once the audio has finished, identify every instance of the word \"energies\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0008.flac", "task_type": "lexical_detection", "query": "hopes", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"hopes\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0003.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0012.flac", "task_type": "lexical_detection", "query": "gilbert", "prompt": "When the utterance is complete, report all instances of the word \"gilbert\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0016.flac", "task_type": "lexical_detection", "query": "foreign", "prompt": "When the utterance is complete, report all instances of the word \"foreign\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0022.flac", "task_type": "lexical_detection", "query": "dishes", "prompt": "Process the full audio offline. Find every instance of the word \"dishes\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0002.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0041.flac", "task_type": "lexical_detection", "query": "extended", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"extended\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0040.flac", "task_type": "lexical_detection", "query": "helped", "prompt": "Once the audio has finished, identify every instance of the word \"helped\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0005.flac", "task_type": "lexical_detection", "query": "desolation", "prompt": "After the audio ends, extract all occurrences of the word \"desolation\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0014.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen carefully to the entire clip, then report every instance of a family relation as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0085", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0085.flac", "task_type": "lexical_detection", "query": "ignorance", "prompt": "After listening to the whole recording, output every instance of the word \"ignorance\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0040.flac", "task_type": "lexical_detection", "query": "fro", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"fro\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0034.flac", "task_type": "lexical_detection", "query": "hiding", "prompt": "Process the full audio offline. Find every instance of the word \"hiding\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0036.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0067", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0067.flac", "task_type": "lexical_detection", "query": "encircling", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"encircling\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0012.flac", "task_type": "lexical_detection", "query": "dislike", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"dislike\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0030.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0044.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0015.flac", "task_type": "lexical_detection", "query": "encouragement", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"encouragement\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0018.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "When the utterance is complete, report all instances of a person's name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0010.flac", "task_type": "lexical_detection", "query": "guardian", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"guardian\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0034.flac", "task_type": "lexical_counting", "query": "happily", "prompt": "Listen to the full audio. Count every occurrence of the word \"happily\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0004.flac", "task_type": "lexical_detection", "query": "houses", "prompt": "After the audio ends, extract all occurrences of the word \"houses\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0025.flac", "task_type": "lexical_detection", "query": "extent", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"extent\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0039.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0009.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0002.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "When the utterance is complete, report all instances of a body part including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0003.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0000.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0007.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0002.flac", "task_type": "lexical_detection", "query": "fulness", "prompt": "After the audio ends, extract all occurrences of the word \"fulness\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0039.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, list every instance of a weather term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0005.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Once the audio has finished, list each occurrence of a plant name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0012.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0020.flac", "task_type": "lexical_detection", "query": "fancies", "prompt": "Once the audio has finished, identify every instance of the word \"fancies\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0016.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0021.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "When the utterance is complete, report how a time of day accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0006.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0021.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0064.flac", "task_type": "lexical_detection", "query": "futility", "prompt": "After listening to the whole recording, output every instance of the word \"futility\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0000.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0005.flac", "task_type": "lexical_counting", "query": "glowed", "prompt": "After the audio ends, tally every instance of the word \"glowed\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0050.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0027.flac", "task_type": "lexical_detection", "query": "feast", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"feast\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0023.flac", "task_type": "lexical_detection", "query": "herod", "prompt": "After listening to the whole recording, output every instance of the word \"herod\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0052.flac", "task_type": "lexical_detection", "query": "gray", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"gray\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0033.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "When the utterance is complete, report all instances of a profession including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0029.flac", "task_type": "lexical_detection", "query": "faults", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"faults\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0033.flac", "task_type": "lexical_detection", "query": "metal", "prompt": "When the utterance is complete, report all instances of the word \"metal\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0011.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Once the audio has finished, identify every instance of a food name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0004.flac", "task_type": "lexical_detection", "query": "handy", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"handy\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0002.flac", "task_type": "lexical_detection", "query": "forbidden", "prompt": "Process the full audio offline. Find every instance of the word \"forbidden\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0024.flac", "task_type": "semantic_counting", "query": "person_name", "prompt": "Listen to the entire clip, then report the count sequence for a person's name as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0013.flac", "task_type": "lexical_detection", "query": "greatest", "prompt": "When the utterance is complete, report all instances of the word \"greatest\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0084", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0084.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0021.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0055.flac", "task_type": "lexical_detection", "query": "homes", "prompt": "After listening to the whole recording, output every instance of the word \"homes\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0003.flac", "task_type": "lexical_detection", "query": "fever", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"fever\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0004.flac", "task_type": "lexical_detection", "query": "envy", "prompt": "After listening to the whole recording, output every instance of the word \"envy\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0007.flac", "task_type": "lexical_detection", "query": "packing", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"packing\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0029.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0016.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0018.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0003.flac", "task_type": "lexical_detection", "query": "grieve", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"grieve\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0011.flac", "task_type": "lexical_detection", "query": "gown", "prompt": "After the audio ends, extract all occurrences of the word \"gown\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0005.flac", "task_type": "lexical_detection", "query": "historic", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"historic\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0021.flac", "task_type": "lexical_detection", "query": "forecastle", "prompt": "After listening to the whole recording, output every instance of the word \"forecastle\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0038.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0022.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Process the full audio offline. Find every instance of a person's name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0005.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0011.flac", "task_type": "lexical_detection", "query": "hunting", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"hunting\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0014.flac", "task_type": "lexical_detection", "query": "frown", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"frown\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0018.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After listening to the whole recording, output every instance of a weather term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0009.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "When the utterance is complete, report all instances of a person's name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0030.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0006.flac", "task_type": "lexical_detection", "query": "horror", "prompt": "Once the audio has finished, identify every instance of the word \"horror\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0004.flac", "task_type": "lexical_detection", "query": "it'll", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"it'll\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0064.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0009.flac", "task_type": "lexical_detection", "query": "fearful", "prompt": "When the utterance is complete, report all instances of the word \"fearful\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0027.flac", "task_type": "lexical_detection", "query": "forty", "prompt": "After listening to the whole recording, output every instance of the word \"forty\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0016.flac", "task_type": "lexical_detection", "query": "fame", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"fame\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0036.flac", "task_type": "lexical_detection", "query": "hurried", "prompt": "After the audio ends, extract all occurrences of the word \"hurried\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0005.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen carefully to the entire clip, then report every instance of an animal name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0000.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0009.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0018.flac", "task_type": "lexical_detection", "query": "headquarters", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"headquarters\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0024.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0033.flac", "task_type": "lexical_detection", "query": "foundation", "prompt": "When the utterance is complete, report all instances of the word \"foundation\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0068", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0068.flac", "task_type": "lexical_detection", "query": "dwarf", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"dwarf\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0013.flac", "task_type": "lexical_detection", "query": "fed", "prompt": "Process the full audio offline. Find every instance of the word \"fed\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0008.flac", "task_type": "lexical_detection", "query": "hang", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"hang\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0017.flac", "task_type": "lexical_detection", "query": "frank", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"frank\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0033.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0006.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen carefully to the entire clip, then report every instance of a country name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0001.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0018.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0016.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0007.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0030.flac", "task_type": "lexical_detection", "query": "fruit", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"fruit\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0037.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0108", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0108.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0048.flac", "task_type": "lexical_detection", "query": "natures", "prompt": "Once the audio has finished, identify every instance of the word \"natures\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0033.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0009.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0013.flac", "task_type": "lexical_detection", "query": "hypothesis", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"hypothesis\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0007.flac", "task_type": "lexical_detection", "query": "equipment", "prompt": "After listening to the whole recording, output every instance of the word \"equipment\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0010.flac", "task_type": "lexical_detection", "query": "fifty", "prompt": "When the utterance is complete, report all instances of the word \"fifty\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0045.flac", "task_type": "lexical_detection", "query": "lands", "prompt": "After the audio ends, extract all occurrences of the word \"lands\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0006.flac", "task_type": "lexical_counting", "query": "hinders", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"hinders\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0000.flac", "task_type": "lexical_detection", "query": "genuine", "prompt": "Process the full audio offline. Find every instance of the word \"genuine\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0015.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After listening to the whole recording, output every instance of a family relation with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0027.flac", "task_type": "lexical_detection", "query": "frequently", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"frequently\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0029.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0012.flac", "task_type": "lexical_detection", "query": "george", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"george\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0052.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0038.flac", "task_type": "lexical_detection", "query": "hurt", "prompt": "When the utterance is complete, report all instances of the word \"hurt\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0110", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0110.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen carefully to the entire clip, then report every instance of a city name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0021.flac", "task_type": "lexical_counting", "query": "glow", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"glow\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0035.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a family relation with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0022.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0009.flac", "task_type": "lexical_detection", "query": "odour", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"odour\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0002.flac", "task_type": "semantic_detection", "query": "country", "prompt": "You will hear a complete utterance. When it ends, list every instance of a country name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0008.flac", "task_type": "lexical_detection", "query": "feeble", "prompt": "Process the full audio offline. Find every instance of the word \"feeble\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0011.flac", "task_type": "lexical_detection", "query": "ellen", "prompt": "Once the audio has finished, identify every instance of the word \"ellen\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0002.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0002.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0024.flac", "task_type": "lexical_detection", "query": "muttered", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"muttered\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0010.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0014.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0027.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0000.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0019.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0003.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Once the audio has finished, identify every instance of a color name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0025.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0089", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0089.flac", "task_type": "lexical_detection", "query": "grapple", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"grapple\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0068", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0068.flac", "task_type": "lexical_counting", "query": "hideous", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"hideous\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0002.flac", "task_type": "lexical_detection", "query": "forgiven", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"forgiven\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0035.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the full audio. After it finishes, find every instance of a profession. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0029.flac", "task_type": "lexical_detection", "query": "handled", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"handled\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0016.flac", "task_type": "semantic_counting", "query": "city", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a city name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0016.flac", "task_type": "lexical_detection", "query": "indicate", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"indicate\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0023.flac", "task_type": "lexical_detection", "query": "hastily", "prompt": "After listening to the whole recording, output every instance of the word \"hastily\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0063.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an ordinal number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0000.flac", "task_type": "semantic_detection", "query": "country", "prompt": "You will hear a complete utterance. When it ends, list every instance of a country name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245715-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245715/7697-245715-0003.flac", "task_type": "lexical_detection", "query": "formed", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"formed\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0023.flac", "task_type": "lexical_detection", "query": "dreams", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"dreams\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0020.flac", "task_type": "lexical_detection", "query": "grant", "prompt": "After the audio ends, extract all occurrences of the word \"grant\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0020.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0012.flac", "task_type": "lexical_detection", "query": "hither", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"hither\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0029.flac", "task_type": "lexical_detection", "query": "gorgeous", "prompt": "When the utterance is complete, report all instances of the word \"gorgeous\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0030.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0052.flac", "task_type": "lexical_detection", "query": "halt", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"halt\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0009.flac", "task_type": "lexical_detection", "query": "higher", "prompt": "Once the audio has finished, identify every instance of the word \"higher\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0019.flac", "task_type": "lexical_detection", "query": "industry", "prompt": "After the audio ends, extract all occurrences of the word \"industry\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0011.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0063.flac", "task_type": "lexical_detection", "query": "fits", "prompt": "Process the full audio offline. Find every instance of the word \"fits\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0000.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a disease name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0013.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0000.flac", "task_type": "lexical_detection", "query": "functions", "prompt": "After the audio ends, extract all occurrences of the word \"functions\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0010.flac", "task_type": "lexical_detection", "query": "knelt", "prompt": "When the utterance is complete, report all instances of the word \"knelt\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0045.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0060", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0060.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the full audio. After it finishes, find every instance of an animal name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0014.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0013.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the full audio. After it finishes, find every instance of a body part. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0016.flac", "task_type": "semantic_detection", "query": "color", "prompt": "When the utterance is complete, report all instances of a color name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0016.flac", "task_type": "lexical_detection", "query": "oars", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"oars\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0002.flac", "task_type": "lexical_detection", "query": "icon", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"icon\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0003.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0012.flac", "task_type": "lexical_counting", "query": "gingerbread", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"gingerbread\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0019.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Process the full audio offline. For every occurrence of a country name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0009.flac", "task_type": "semantic_detection", "query": "country", "prompt": "You will hear a complete utterance. When it ends, list every instance of a country name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0016.flac", "task_type": "lexical_counting", "query": "grotesques", "prompt": "When the utterance is complete, report how the word \"grotesques\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0001.flac", "task_type": "lexical_detection", "query": "humiliation", "prompt": "Once the audio has finished, identify every instance of the word \"humiliation\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0020.flac", "task_type": "lexical_detection", "query": "fragments", "prompt": "After the audio ends, extract all occurrences of the word \"fragments\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0016.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0008.flac", "task_type": "lexical_detection", "query": "greets", "prompt": "After the audio ends, extract all occurrences of the word \"greets\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0017.flac", "task_type": "lexical_detection", "query": "insolence", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"insolence\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0013.flac", "task_type": "lexical_detection", "query": "flowery", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"flowery\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0029.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0041.flac", "task_type": "lexical_detection", "query": "cutting", "prompt": "Process the full audio offline. Find every instance of the word \"cutting\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0009.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0032.flac", "task_type": "lexical_detection", "query": "residence", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"residence\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0030.flac", "task_type": "lexical_detection", "query": "heracles", "prompt": "When the utterance is complete, report all instances of the word \"heracles\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0052.flac", "task_type": "lexical_detection", "query": "gets", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"gets\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0003.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Do not answer until the audio ends. Then list each instance of a plant name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0032.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0006.flac", "task_type": "lexical_detection", "query": "favorite", "prompt": "Once the audio has finished, identify every instance of the word \"favorite\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0033.flac", "task_type": "lexical_detection", "query": "insurance", "prompt": "After the audio ends, extract all occurrences of the word \"insurance\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0030.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0011.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0015.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0009.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0030.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0037.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After the audio ends, extract all occurrences of a weather term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0001.flac", "task_type": "semantic_counting", "query": "organization", "prompt": "Listen to the entire clip, then report the count sequence for an organization name as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0033.flac", "task_type": "lexical_detection", "query": "local", "prompt": "After the audio ends, extract all occurrences of the word \"local\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0045.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After listening to the whole recording, output every instance of a city name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0013.flac", "task_type": "lexical_detection", "query": "neighboring", "prompt": "Process the full audio offline. Find every instance of the word \"neighboring\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0008.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, list every instance of a weather term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0039.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0022.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0004.flac", "task_type": "semantic_counting", "query": "person_name", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a person's name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0003.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0034.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a person's name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0002.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0016.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0010.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After the audio ends, extract all occurrences of a money or currency term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0051.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After listening to the whole recording, output every instance of a number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0018.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0014.flac", "task_type": "lexical_detection", "query": "heaving", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"heaving\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0015.flac", "task_type": "lexical_detection", "query": "minturn", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"minturn\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0006.flac", "task_type": "lexical_detection", "query": "inertia", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"inertia\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0000.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0001.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0028.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Once the audio has finished, identify every instance of a weather term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0013.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the full audio. After it finishes, find every instance of a time of day. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0016.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0003.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the full audio. After it finishes, find every instance of a money or currency term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0024.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "When the utterance is complete, report all instances of a profession including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0002.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0011.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0032.flac", "task_type": "lexical_detection", "query": "leaf", "prompt": "Once the audio has finished, identify every instance of the word \"leaf\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0000.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Process the full audio offline. Find every instance of an organization name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0010.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0005.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0015.flac", "task_type": "lexical_detection", "query": "grieved", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"grieved\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0007.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0002.flac", "task_type": "lexical_detection", "query": "indifferent", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"indifferent\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0004.flac", "task_type": "lexical_detection", "query": "illness", "prompt": "When the utterance is complete, report all instances of the word \"illness\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0019.flac", "task_type": "lexical_detection", "query": "incapable", "prompt": "After the audio ends, extract all occurrences of the word \"incapable\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0012.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0009.flac", "task_type": "semantic_counting", "query": "date", "prompt": "Listen to the entire clip, then report the count sequence for a date as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0022.flac", "task_type": "lexical_detection", "query": "larger", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"larger\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0003.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "When the utterance is complete, report all instances of a weather term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0052.flac", "task_type": "semantic_counting", "query": "date", "prompt": "Listen to the full audio. Count every occurrence of a date. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0072", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0072.flac", "task_type": "lexical_detection", "query": "irregularities", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"irregularities\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0024.flac", "task_type": "lexical_detection", "query": "gulf", "prompt": "Process the full audio offline. Find every instance of the word \"gulf\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0035.flac", "task_type": "lexical_detection", "query": "journeying", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"journeying\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0006.flac", "task_type": "lexical_detection", "query": "hullo", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"hullo\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0028.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Once the audio has finished, identify every instance of a money or currency term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0007.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0009.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0035.flac", "task_type": "lexical_detection", "query": "hungry", "prompt": "After listening to the whole recording, output every instance of the word \"hungry\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0026.flac", "task_type": "lexical_detection", "query": "marching", "prompt": "When the utterance is complete, report all instances of the word \"marching\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0011.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Once the audio has finished, identify every instance of a body part. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0047.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen carefully to the entire clip, then report every instance of a food name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0013.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0003.flac", "task_type": "lexical_counting", "query": "glided", "prompt": "Listen to the full audio. Count every occurrence of the word \"glided\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0008.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0002.flac", "task_type": "lexical_detection", "query": "impressive", "prompt": "After listening to the whole recording, output every instance of the word \"impressive\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0009.flac", "task_type": "lexical_detection", "query": "harrison", "prompt": "Process the full audio offline. Find every instance of the word \"harrison\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0006.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0008.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0023.flac", "task_type": "lexical_detection", "query": "knocked", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"knocked\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0002.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0001.flac", "task_type": "lexical_detection", "query": "officer", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"officer\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0081", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0081.flac", "task_type": "semantic_counting", "query": "cardinal", "prompt": "After the audio ends, tally every instance of a number. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0005.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0075", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0075.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0009.flac", "task_type": "lexical_detection", "query": "infatuation", "prompt": "After the audio ends, extract all occurrences of the word \"infatuation\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0015.flac", "task_type": "lexical_detection", "query": "homage", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"homage\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0033.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0008.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Process the full audio offline. For every occurrence of a plant name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0025.flac", "task_type": "lexical_detection", "query": "hesitated", "prompt": "After listening to the whole recording, output every instance of the word \"hesitated\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0023.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the full audio. After it finishes, find every instance of an ordinal number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0005.flac", "task_type": "lexical_detection", "query": "friendship", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"friendship\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0011.flac", "task_type": "lexical_detection", "query": "hazel", "prompt": "Process the full audio offline. Find every instance of the word \"hazel\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0003.flac", "task_type": "lexical_detection", "query": "harrier", "prompt": "After the audio ends, extract all occurrences of the word \"harrier\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0000.flac", "task_type": "semantic_detection", "query": "color", "prompt": "When the utterance is complete, report all instances of a color name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0001.flac", "task_type": "lexical_detection", "query": "latin", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"latin\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0033.flac", "task_type": "lexical_detection", "query": "immediate", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"immediate\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0024.flac", "task_type": "lexical_detection", "query": "jack", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"jack\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0014.flac", "task_type": "lexical_detection", "query": "followers", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"followers\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0022.flac", "task_type": "lexical_detection", "query": "medal", "prompt": "Once the audio has finished, identify every instance of the word \"medal\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0020.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "Process the full audio offline. For every occurrence of an ordinal number, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0005.flac", "task_type": "lexical_detection", "query": "houndsditch", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"houndsditch\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0006.flac", "task_type": "lexical_detection", "query": "midnight", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"midnight\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0110", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0110.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0004.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0083", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0083.flac", "task_type": "lexical_detection", "query": "harbour", "prompt": "After listening to the whole recording, output every instance of the word \"harbour\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0035.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Process the full audio offline. Find every instance of a country name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0029.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0005.flac", "task_type": "lexical_counting", "query": "giving", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"giving\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0006.flac", "task_type": "lexical_detection", "query": "litter", "prompt": "When the utterance is complete, report all instances of the word \"litter\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0042.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen carefully to the entire clip, then report every instance of an animal name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0015.flac", "task_type": "lexical_detection", "query": "imperfect", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"imperfect\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0053.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen carefully to the entire clip, then report every instance of a person's name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0012.flac", "task_type": "lexical_detection", "query": "invention", "prompt": "When the utterance is complete, report all instances of the word \"invention\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0014.flac", "task_type": "lexical_detection", "query": "incense", "prompt": "Process the full audio offline. Find every instance of the word \"incense\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0031.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0003.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0046.flac", "task_type": "lexical_detection", "query": "language", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"language\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0049.flac", "task_type": "lexical_detection", "query": "honours", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"honours\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0056.flac", "task_type": "lexical_detection", "query": "main", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"main\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0003.flac", "task_type": "lexical_detection", "query": "heroes", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"heroes\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0022.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, list every instance of a weather term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0004.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Process the full audio offline. Find every instance of a money or currency term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0027.flac", "task_type": "lexical_detection", "query": "languages", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"languages\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0012.flac", "task_type": "lexical_detection", "query": "hum", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"hum\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0002.flac", "task_type": "lexical_detection", "query": "issue", "prompt": "Once the audio has finished, identify every instance of the word \"issue\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0032.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0023.flac", "task_type": "lexical_detection", "query": "honesty", "prompt": "After listening to the whole recording, output every instance of the word \"honesty\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0035.flac", "task_type": "lexical_detection", "query": "judged", "prompt": "After the audio ends, extract all occurrences of the word \"judged\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0035.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0014.flac", "task_type": "lexical_detection", "query": "humdrum", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"humdrum\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0065", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0065.flac", "task_type": "lexical_detection", "query": "lately", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"lately\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0025.flac", "task_type": "lexical_detection", "query": "habit", "prompt": "Process the full audio offline. Find every instance of the word \"habit\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0011.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "When the utterance is complete, report how a weather term accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0015.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0013.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0040.flac", "task_type": "lexical_detection", "query": "insulted", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"insulted\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0003.flac", "task_type": "lexical_counting", "query": "howdah", "prompt": "Listen to the full audio. Count every occurrence of the word \"howdah\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0007.flac", "task_type": "lexical_detection", "query": "injury", "prompt": "Once the audio has finished, identify every instance of the word \"injury\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0003.flac", "task_type": "lexical_detection", "query": "injured", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"injured\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0037.flac", "task_type": "lexical_detection", "query": "intently", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"intently\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0009.flac", "task_type": "semantic_detection", "query": "food", "prompt": "You will hear a complete utterance. When it ends, list every instance of a food name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0002.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0015.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "When the utterance is complete, report all instances of an animal name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0041.flac", "task_type": "lexical_detection", "query": "intend", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"intend\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0017.flac", "task_type": "lexical_detection", "query": "imaginable", "prompt": "After the audio ends, extract all occurrences of the word \"imaginable\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0005.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Once the audio has finished, list each occurrence of a state or province name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0030.flac", "task_type": "lexical_detection", "query": "moments", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"moments\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0036.flac", "task_type": "lexical_detection", "query": "mansion", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"mansion\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0015.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a plant name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0019.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0004.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0035.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After listening to the whole recording, output every instance of a country name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0052.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0020.flac", "task_type": "lexical_detection", "query": "ineffectual", "prompt": "When the utterance is complete, report all instances of the word \"ineffectual\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0008.flac", "task_type": "lexical_detection", "query": "page", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"page\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0006.flac", "task_type": "lexical_detection", "query": "invalids", "prompt": "After the audio ends, extract all occurrences of the word \"invalids\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0033.flac", "task_type": "lexical_detection", "query": "masses", "prompt": "After listening to the whole recording, output every instance of the word \"masses\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0006.flac", "task_type": "lexical_detection", "query": "jewels", "prompt": "After the audio ends, extract all occurrences of the word \"jewels\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0016.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "After listening to the whole recording, output timed count words for a profession (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0011.flac", "task_type": "semantic_counting", "query": "money", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a money or currency term with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0023.flac", "task_type": "lexical_detection", "query": "lodge", "prompt": "When the utterance is complete, report all instances of the word \"lodge\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0056.flac", "task_type": "lexical_detection", "query": "matted", "prompt": "When the utterance is complete, report all instances of the word \"matted\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0021.flac", "task_type": "lexical_detection", "query": "joyfully", "prompt": "Once the audio has finished, identify every instance of the word \"joyfully\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0016.flac", "task_type": "lexical_detection", "query": "inclined", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"inclined\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0020.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0008.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Do not answer until the audio ends. Then list each instance of a food name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0012.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the full audio. After it finishes, find every instance of a date. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0000.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After listening to the whole recording, output every instance of a money or currency term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0003.flac", "task_type": "lexical_detection", "query": "inconvenience", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"inconvenience\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0014.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0006.flac", "task_type": "lexical_detection", "query": "kneeling", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"kneeling\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0030.flac", "task_type": "lexical_detection", "query": "preparing", "prompt": "After the audio ends, extract all occurrences of the word \"preparing\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0019.flac", "task_type": "lexical_detection", "query": "inequality", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"inequality\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0034.flac", "task_type": "lexical_detection", "query": "mythical", "prompt": "After listening to the whole recording, output every instance of the word \"mythical\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0025.flac", "task_type": "lexical_detection", "query": "lamented", "prompt": "Once the audio has finished, identify every instance of the word \"lamented\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0011.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0045.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0031.flac", "task_type": "lexical_detection", "query": "instances", "prompt": "When the utterance is complete, report all instances of the word \"instances\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0030.flac", "task_type": "lexical_detection", "query": "moaned", "prompt": "After the audio ends, extract all occurrences of the word \"moaned\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0010.flac", "task_type": "lexical_detection", "query": "morally", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"morally\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0019.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0017.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0020.flac", "task_type": "lexical_detection", "query": "madam", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"madam\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0027.flac", "task_type": "lexical_detection", "query": "monday", "prompt": "After the audio ends, extract all occurrences of the word \"monday\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0036.flac", "task_type": "lexical_detection", "query": "lofty", "prompt": "Once the audio has finished, identify every instance of the word \"lofty\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0067", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0067.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0007.flac", "task_type": "lexical_detection", "query": "hawk", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"hawk\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0103", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0103.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After the audio ends, extract all occurrences of a food name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0040.flac", "task_type": "lexical_detection", "query": "inferior", "prompt": "After listening to the whole recording, output every instance of the word \"inferior\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0017.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0030.flac", "task_type": "lexical_detection", "query": "incidents", "prompt": "Once the audio has finished, identify every instance of the word \"incidents\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0042.flac", "task_type": "lexical_detection", "query": "gasped", "prompt": "After the audio ends, extract all occurrences of the word \"gasped\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0032.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0098", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0098.flac", "task_type": "lexical_detection", "query": "nights", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"nights\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0011.flac", "task_type": "lexical_detection", "query": "lap", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"lap\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0049.flac", "task_type": "lexical_detection", "query": "mountain", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"mountain\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0001.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen carefully to the entire clip, then report every instance of a food name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0052.flac", "task_type": "lexical_detection", "query": "invited", "prompt": "After the audio ends, extract all occurrences of the word \"invited\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0032.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0013.flac", "task_type": "lexical_detection", "query": "maintained", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"maintained\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0035.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Process the full audio offline. Find every instance of a person's name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0005.flac", "task_type": "lexical_counting", "query": "kitchen", "prompt": "After the audio ends, tally every instance of the word \"kitchen\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0006.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0033.flac", "task_type": "lexical_detection", "query": "invents", "prompt": "Process the full audio offline. Find every instance of the word \"invents\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0022.flac", "task_type": "lexical_detection", "query": "malicorne", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"malicorne\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0001.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0113", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0113.flac", "task_type": "lexical_detection", "query": "notwithstanding", "prompt": "Once the audio has finished, identify every instance of the word \"notwithstanding\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0033.flac", "task_type": "lexical_detection", "query": "lads", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"lads\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0000.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0000.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0020.flac", "task_type": "lexical_detection", "query": "measure", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"measure\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0074", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0074.flac", "task_type": "lexical_detection", "query": "haughty", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"haughty\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0011.flac", "task_type": "lexical_detection", "query": "murmured", "prompt": "When the utterance is complete, report all instances of the word \"murmured\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0010.flac", "task_type": "lexical_detection", "query": "joking", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"joking\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0040.flac", "task_type": "lexical_detection", "query": "knob", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"knob\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0027.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0004.flac", "task_type": "semantic_counting", "query": "date", "prompt": "Process the full audio offline. For every occurrence of a date, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0025.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After the audio ends, extract all occurrences of an organization name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0007.flac", "task_type": "lexical_detection", "query": "nicely", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"nicely\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0011.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0004.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After the audio ends, extract all occurrences of a food name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0045.flac", "task_type": "lexical_detection", "query": "james", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"james\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0033.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0005.flac", "task_type": "lexical_detection", "query": "marvelled", "prompt": "Once the audio has finished, identify every instance of the word \"marvelled\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0037.flac", "task_type": "lexical_detection", "query": "marched", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"marched\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0008.flac", "task_type": "lexical_detection", "query": "nicholas", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"nicholas\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0007.flac", "task_type": "lexical_detection", "query": "lily", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"lily\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0010.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0002.flac", "task_type": "lexical_detection", "query": "nervous", "prompt": "After the audio ends, extract all occurrences of the word \"nervous\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0005.flac", "task_type": "lexical_counting", "query": "origin", "prompt": "After listening to the whole recording, output timed count words for the word \"origin\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0032.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After the audio ends, extract all occurrences of a food name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0020.flac", "task_type": "lexical_detection", "query": "inquiries", "prompt": "After listening to the whole recording, output every instance of the word \"inquiries\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0050.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0005.flac", "task_type": "lexical_detection", "query": "lower", "prompt": "Once the audio has finished, identify every instance of the word \"lower\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0041.flac", "task_type": "lexical_detection", "query": "meanwhile", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"meanwhile\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0062", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0062.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0052.flac", "task_type": "lexical_detection", "query": "pillow", "prompt": "After the audio ends, extract all occurrences of the word \"pillow\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0095", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0095.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the full audio. After it finishes, find every instance of an animal name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0039.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0048.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0008.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a disease name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0001.flac", "task_type": "semantic_detection", "query": "color", "prompt": "When the utterance is complete, report all instances of a color name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0030.flac", "task_type": "lexical_detection", "query": "obligations", "prompt": "When the utterance is complete, report all instances of the word \"obligations\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0002.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen carefully to the entire clip, then report every instance of a number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0051.flac", "task_type": "lexical_detection", "query": "national", "prompt": "When the utterance is complete, report all instances of the word \"national\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0029.flac", "task_type": "lexical_detection", "query": "railroad", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"railroad\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0054.flac", "task_type": "lexical_detection", "query": "odd", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"odd\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0027.flac", "task_type": "lexical_detection", "query": "nuts", "prompt": "Once the audio has finished, identify every instance of the word \"nuts\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0007.flac", "task_type": "lexical_detection", "query": "mention", "prompt": "After listening to the whole recording, output every instance of the word \"mention\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0003.flac", "task_type": "lexical_counting", "query": "kingdom", "prompt": "Listen to the full audio. Count every occurrence of the word \"kingdom\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0016.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0006.flac", "task_type": "lexical_detection", "query": "reproached", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"reproached\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0014.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen carefully to the entire clip, then report every instance of a food name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0002.flac", "task_type": "lexical_detection", "query": "mourned", "prompt": "After listening to the whole recording, output every instance of the word \"mourned\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0037.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0075", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0075.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After listening to the whole recording, output every instance of a family relation with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0010.flac", "task_type": "lexical_detection", "query": "influenced", "prompt": "Once the audio has finished, identify every instance of the word \"influenced\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0033.flac", "task_type": "lexical_detection", "query": "hurry", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"hurry\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0019.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0032.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0021.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0026.flac", "task_type": "lexical_detection", "query": "louvre", "prompt": "After the audio ends, extract all occurrences of the word \"louvre\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0059", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0059.flac", "task_type": "lexical_detection", "query": "kremlin", "prompt": "Once the audio has finished, identify every instance of the word \"kremlin\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0006.flac", "task_type": "lexical_detection", "query": "laughable", "prompt": "When the utterance is complete, report all instances of the word \"laughable\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0014.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0012.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0004.flac", "task_type": "lexical_detection", "query": "indignant", "prompt": "Process the full audio offline. Find every instance of the word \"indignant\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0024.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0067", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0067.flac", "task_type": "lexical_detection", "query": "murmur", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"murmur\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0028.flac", "task_type": "lexical_detection", "query": "mysterious", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"mysterious\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0044.flac", "task_type": "lexical_detection", "query": "inform", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"inform\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0024.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0006.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0046.flac", "task_type": "lexical_counting", "query": "heed", "prompt": "After the audio ends, tally every instance of the word \"heed\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0029.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the full audio. After it finishes, find every instance of a family relation. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0000.flac", "task_type": "lexical_detection", "query": "loyal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"loyal\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0036.flac", "task_type": "lexical_detection", "query": "meadows", "prompt": "Once the audio has finished, identify every instance of the word \"meadows\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0064.flac", "task_type": "lexical_detection", "query": "narrow", "prompt": "After listening to the whole recording, output every instance of the word \"narrow\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0004.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the full audio. After it finishes, find every instance of a time of day. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0040.flac", "task_type": "lexical_detection", "query": "particularly", "prompt": "Process the full audio offline. Find every instance of the word \"particularly\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0002.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Once the audio has finished, identify every instance of a city name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0027.flac", "task_type": "lexical_counting", "query": "primitive", "prompt": "Listen to the full audio. Count every occurrence of the word \"primitive\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0023.flac", "task_type": "lexical_detection", "query": "landing", "prompt": "Once the audio has finished, identify every instance of the word \"landing\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0000.flac", "task_type": "lexical_detection", "query": "mingle", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"mingle\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0071", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0071.flac", "task_type": "lexical_detection", "query": "greedy", "prompt": "After listening to the whole recording, output every instance of the word \"greedy\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0022.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0036.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0026.flac", "task_type": "lexical_detection", "query": "nieces", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"nieces\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0016.flac", "task_type": "lexical_detection", "query": "landlady", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"landlady\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0010.flac", "task_type": "lexical_detection", "query": "passions", "prompt": "Process the full audio offline. Find every instance of the word \"passions\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0034.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0016.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0004.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After the audio ends, extract all occurrences of a family relation. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0053.flac", "task_type": "lexical_detection", "query": "lynde", "prompt": "After the audio ends, extract all occurrences of the word \"lynde\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0021.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0003.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0026.flac", "task_type": "lexical_detection", "query": "maxwell", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"maxwell\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0008.flac", "task_type": "lexical_detection", "query": "pictures", "prompt": "Process the full audio offline. Find every instance of the word \"pictures\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0028.flac", "task_type": "lexical_detection", "query": "judas", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"judas\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0021.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0018.flac", "task_type": "lexical_detection", "query": "limbs", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"limbs\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0004.flac", "task_type": "lexical_detection", "query": "object", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"object\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0017.flac", "task_type": "semantic_counting", "query": "city", "prompt": "Listen to the entire clip, then report the count sequence for a city name as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0014.flac", "task_type": "lexical_detection", "query": "plainfield", "prompt": "After the audio ends, extract all occurrences of the word \"plainfield\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0070", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0070.flac", "task_type": "lexical_detection", "query": "names", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"names\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0000.flac", "task_type": "lexical_detection", "query": "lighted", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"lighted\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0050.flac", "task_type": "lexical_detection", "query": "retreated", "prompt": "When the utterance is complete, report all instances of the word \"retreated\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0063.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After the audio ends, extract all occurrences of a body part. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0010.flac", "task_type": "lexical_detection", "query": "observe", "prompt": "After listening to the whole recording, output every instance of the word \"observe\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0009.flac", "task_type": "lexical_detection", "query": "miserable", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"miserable\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0023.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Do not answer until the audio ends. Then list each instance of a food name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0006.flac", "task_type": "lexical_detection", "query": "lie", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"lie\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0023.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Once the audio has finished, identify every instance of a weather term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0056.flac", "task_type": "lexical_detection", "query": "procured", "prompt": "Process the full audio offline. Find every instance of the word \"procured\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0000.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Once the audio has finished, identify every instance of a disease name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0004.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Once the audio has finished, identify every instance of a state or province name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0036.flac", "task_type": "lexical_detection", "query": "nettles", "prompt": "When the utterance is complete, report all instances of the word \"nettles\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0025.flac", "task_type": "lexical_detection", "query": "mystified", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"mystified\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0004.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0032.flac", "task_type": "lexical_counting", "query": "matured", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"matured\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0001.flac", "task_type": "lexical_detection", "query": "interests", "prompt": "Once the audio has finished, identify every instance of the word \"interests\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0011.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an animal name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0008.flac", "task_type": "lexical_counting", "query": "pretend", "prompt": "Listen to the full audio. Count every occurrence of the word \"pretend\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0067", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0067.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0008.flac", "task_type": "lexical_detection", "query": "occasionally", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"occasionally\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0015.flac", "task_type": "lexical_detection", "query": "morsel", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"morsel\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0000.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "When the utterance is complete, report all instances of a plant name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0024.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0031.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0084", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0084.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0010.flac", "task_type": "lexical_detection", "query": "putting", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"putting\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0011.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "When the utterance is complete, report all instances of a weather term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0039.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0027.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Do not answer until the audio ends. Then list each instance of a profession as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0001.flac", "task_type": "lexical_detection", "query": "owners", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"owners\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0047.flac", "task_type": "lexical_detection", "query": "poetry", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"poetry\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0004.flac", "task_type": "lexical_detection", "query": "populous", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"populous\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0045.flac", "task_type": "lexical_detection", "query": "mythus", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"mythus\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0016.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0007.flac", "task_type": "lexical_detection", "query": "novelist", "prompt": "When the utterance is complete, report all instances of the word \"novelist\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0056.flac", "task_type": "semantic_counting", "query": "animal", "prompt": "Listen to the full audio. Count every occurrence of an animal name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0002.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "After the audio ends, tally every instance of a state or province name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0002.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen carefully to the entire clip, then report every instance of a city name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0020.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Do not answer until the audio ends. Then list each instance of a city name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0021.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0017.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0017.flac", "task_type": "lexical_detection", "query": "invite", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"invite\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0011.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0000.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Once the audio has finished, identify every instance of a food name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0016.flac", "task_type": "lexical_detection", "query": "largest", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"largest\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0006.flac", "task_type": "lexical_detection", "query": "legislative", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"legislative\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0023.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Process the full audio offline. For every occurrence of a plant name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0006.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After the audio ends, extract all occurrences of a food name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0015.flac", "task_type": "semantic_detection", "query": "country", "prompt": "When the utterance is complete, report all instances of a country name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0016.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the full audio. After it finishes, find every instance of a money or currency term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0021.flac", "task_type": "lexical_detection", "query": "neglect", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"neglect\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0008.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0028.flac", "task_type": "lexical_detection", "query": "sobbing", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"sobbing\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0028.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0008.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Process the full audio offline. For every occurrence of a plant name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0002.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0004.flac", "task_type": "lexical_counting", "query": "phenomenon", "prompt": "After the audio ends, tally every instance of the word \"phenomenon\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0007.flac", "task_type": "lexical_detection", "query": "pure", "prompt": "Process the full audio offline. Find every instance of the word \"pure\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0007.flac", "task_type": "lexical_detection", "query": "laughlin", "prompt": "After listening to the whole recording, output every instance of the word \"laughlin\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0000.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After the audio ends, extract all occurrences of a weather term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0006.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0007.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0020.flac", "task_type": "lexical_detection", "query": "plague", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"plague\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0021.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0082", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0082.flac", "task_type": "lexical_detection", "query": "pop", "prompt": "When the utterance is complete, report all instances of the word \"pop\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0059", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0059.flac", "task_type": "lexical_detection", "query": "pangs", "prompt": "When the utterance is complete, report all instances of the word \"pangs\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0031.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0018.flac", "task_type": "lexical_counting", "query": "poles", "prompt": "After listening to the whole recording, output timed count words for the word \"poles\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0014.flac", "task_type": "lexical_detection", "query": "pause", "prompt": "When the utterance is complete, report all instances of the word \"pause\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0041.flac", "task_type": "lexical_detection", "query": "nodded", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"nodded\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0023.flac", "task_type": "lexical_detection", "query": "perform", "prompt": "When the utterance is complete, report all instances of the word \"perform\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0004.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0022.flac", "task_type": "lexical_detection", "query": "irreverent", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"irreverent\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0022.flac", "task_type": "lexical_detection", "query": "played", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"played\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0035.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Do not answer until the audio ends. Then list each instance of a city name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0022.flac", "task_type": "semantic_counting", "query": "animal", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for an animal name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0012.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Do not answer until the audio ends. Then list each instance of a city name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0025.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Once the audio has finished, identify every instance of a weather term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0005.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0005.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Process the full audio offline. Find every instance of a body part and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0049.flac", "task_type": "lexical_detection", "query": "pulled", "prompt": "After listening to the whole recording, output every instance of the word \"pulled\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0009.flac", "task_type": "lexical_detection", "query": "presented", "prompt": "After the audio ends, extract all occurrences of the word \"presented\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0007.flac", "task_type": "lexical_detection", "query": "lasting", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"lasting\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0041.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0049.flac", "task_type": "lexical_detection", "query": "lifetime", "prompt": "When the utterance is complete, report all instances of the word \"lifetime\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0011.flac", "task_type": "lexical_detection", "query": "possession", "prompt": "After listening to the whole recording, output every instance of the word \"possession\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0025.flac", "task_type": "lexical_detection", "query": "perceived", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"perceived\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0009.flac", "task_type": "lexical_detection", "query": "loop", "prompt": "After listening to the whole recording, output every instance of the word \"loop\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0026.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the full audio. After it finishes, find every instance of a time of day. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0008.flac", "task_type": "lexical_detection", "query": "piece", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"piece\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0002.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0024.flac", "task_type": "lexical_detection", "query": "raiment", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"raiment\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0015.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0005.flac", "task_type": "lexical_detection", "query": "organic", "prompt": "Once the audio has finished, identify every instance of the word \"organic\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0076", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0076.flac", "task_type": "lexical_detection", "query": "members", "prompt": "Process the full audio offline. Find every instance of the word \"members\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0029.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0035.flac", "task_type": "lexical_detection", "query": "mittens", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"mittens\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0017.flac", "task_type": "semantic_detection", "query": "country", "prompt": "You will hear a complete utterance. When it ends, list every instance of a country name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0006.flac", "task_type": "lexical_detection", "query": "pretended", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"pretended\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0008.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Do not answer until the audio ends. Then list each instance of a body part as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0020.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0006.flac", "task_type": "lexical_counting", "query": "sacred", "prompt": "After listening to the whole recording, output timed count words for the word \"sacred\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0016.flac", "task_type": "lexical_detection", "query": "patent", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"patent\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0016.flac", "task_type": "lexical_detection", "query": "recovery", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"recovery\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0026.flac", "task_type": "lexical_detection", "query": "occupied", "prompt": "After the audio ends, extract all occurrences of the word \"occupied\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0019.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0024.flac", "task_type": "lexical_detection", "query": "parts", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"parts\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0013.flac", "task_type": "lexical_detection", "query": "numerous", "prompt": "Process the full audio offline. Find every instance of the word \"numerous\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0108", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0108.flac", "task_type": "lexical_detection", "query": "sovereign", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"sovereign\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0030.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Process the full audio offline. Find every instance of a country name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0007.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Once the audio has finished, identify every instance of a disease name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0008.flac", "task_type": "lexical_detection", "query": "luxury", "prompt": "Once the audio has finished, identify every instance of the word \"luxury\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0101", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0101.flac", "task_type": "lexical_detection", "query": "possessions", "prompt": "When the utterance is complete, report all instances of the word \"possessions\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0034.flac", "task_type": "lexical_detection", "query": "nightmare", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"nightmare\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0004.flac", "task_type": "lexical_detection", "query": "lookout", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"lookout\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0004.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen carefully to the entire clip, then report every instance of a city name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0002.flac", "task_type": "lexical_detection", "query": "policy", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"policy\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0008.flac", "task_type": "lexical_detection", "query": "manly", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"manly\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0003.flac", "task_type": "semantic_counting", "query": "organization", "prompt": "Listen to the entire clip, then report the count sequence for an organization name as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0000.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0051.flac", "task_type": "lexical_detection", "query": "president", "prompt": "Process the full audio offline. Find every instance of the word \"president\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0004.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the full audio. After it finishes, find every instance of a country name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0005.flac", "task_type": "lexical_counting", "query": "obey", "prompt": "Process the full audio offline. For every occurrence of the word \"obey\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0037.flac", "task_type": "lexical_counting", "query": "pace", "prompt": "After the audio ends, tally every instance of the word \"pace\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0019.flac", "task_type": "lexical_detection", "query": "packed", "prompt": "Once the audio has finished, identify every instance of the word \"packed\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0014.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0052.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the full audio. After it finishes, find every instance of an ordinal number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0006.flac", "task_type": "lexical_detection", "query": "mission", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"mission\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0039.flac", "task_type": "lexical_detection", "query": "rave", "prompt": "Process the full audio offline. Find every instance of the word \"rave\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0019.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0024.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen carefully to the entire clip, then report every instance of a time of day as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0010.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0003.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0018.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0010.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0024.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0003.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "After listening to the whole recording, output timed count words for a family relation (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0008.flac", "task_type": "lexical_detection", "query": "ordinary", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"ordinary\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0032.flac", "task_type": "semantic_counting", "query": "organization", "prompt": "Once the audio has finished, list each occurrence of an organization name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0046.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0007.flac", "task_type": "lexical_detection", "query": "scoundrel", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"scoundrel\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0012.flac", "task_type": "lexical_detection", "query": "manufacturers", "prompt": "When the utterance is complete, report all instances of the word \"manufacturers\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0000.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0040.flac", "task_type": "lexical_detection", "query": "pink", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"pink\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0020.flac", "task_type": "lexical_detection", "query": "rail", "prompt": "When the utterance is complete, report all instances of the word \"rail\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0015.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0011.flac", "task_type": "lexical_detection", "query": "perforce", "prompt": "When the utterance is complete, report all instances of the word \"perforce\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0020.flac", "task_type": "lexical_detection", "query": "petya", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"petya\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0000.flac", "task_type": "lexical_detection", "query": "leading", "prompt": "After listening to the whole recording, output every instance of the word \"leading\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0023.flac", "task_type": "lexical_detection", "query": "pleaded", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"pleaded\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0019.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0055.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0017.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0005.flac", "task_type": "semantic_counting", "query": "date", "prompt": "Listen to the full audio. Count every occurrence of a date. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0048.flac", "task_type": "lexical_detection", "query": "limits", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"limits\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0040.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0000.flac", "task_type": "lexical_detection", "query": "passing", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"passing\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0002.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After listening to the whole recording, output every instance of a body part with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0014.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0046.flac", "task_type": "lexical_detection", "query": "resign", "prompt": "Process the full audio offline. Find every instance of the word \"resign\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0016.flac", "task_type": "lexical_detection", "query": "providence", "prompt": "After listening to the whole recording, output every instance of the word \"providence\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0009.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0016.flac", "task_type": "lexical_detection", "query": "promises", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"promises\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0016.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0087", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0087.flac", "task_type": "lexical_detection", "query": "pull", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"pull\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0003.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0024.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0065", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0065.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0024.flac", "task_type": "lexical_detection", "query": "previously", "prompt": "When the utterance is complete, report all instances of the word \"previously\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0015.flac", "task_type": "lexical_detection", "query": "saint", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"saint\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0012.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After the audio ends, extract all occurrences of a food name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0015.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0053.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "After the audio ends, tally every instance of a profession. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0018.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an ordinal number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0038.flac", "task_type": "lexical_detection", "query": "reasons", "prompt": "When the utterance is complete, report all instances of the word \"reasons\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0012.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0022.flac", "task_type": "lexical_detection", "query": "reflection", "prompt": "When the utterance is complete, report all instances of the word \"reflection\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0006.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0084", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0084.flac", "task_type": "lexical_detection", "query": "preserve", "prompt": "Process the full audio offline. Find every instance of the word \"preserve\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0035.flac", "task_type": "lexical_detection", "query": "meditation", "prompt": "After listening to the whole recording, output every instance of the word \"meditation\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0011.flac", "task_type": "lexical_detection", "query": "miles", "prompt": "After the audio ends, extract all occurrences of the word \"miles\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0036.flac", "task_type": "lexical_detection", "query": "plates", "prompt": "After the audio ends, extract all occurrences of the word \"plates\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0037.flac", "task_type": "lexical_detection", "query": "overtaken", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"overtaken\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0007.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0023.flac", "task_type": "lexical_detection", "query": "produced", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"produced\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0014.flac", "task_type": "lexical_detection", "query": "punishment", "prompt": "After listening to the whole recording, output every instance of the word \"punishment\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0029.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen carefully to the entire clip, then report every instance of a family relation as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0018.flac", "task_type": "lexical_detection", "query": "mutual", "prompt": "Once the audio has finished, identify every instance of the word \"mutual\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0008.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After listening to the whole recording, output every instance of a date with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0029.flac", "task_type": "lexical_detection", "query": "snapped", "prompt": "Once the audio has finished, identify every instance of the word \"snapped\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0047.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "Once the audio has finished, list each occurrence of a weather term as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0012.flac", "task_type": "lexical_detection", "query": "passes", "prompt": "After listening to the whole recording, output every instance of the word \"passes\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0034.flac", "task_type": "lexical_detection", "query": "pope", "prompt": "Once the audio has finished, identify every instance of the word \"pope\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0023.flac", "task_type": "lexical_detection", "query": "prove", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"prove\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0003.flac", "task_type": "lexical_detection", "query": "pump", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"pump\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0014.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen carefully to the entire clip, then report every instance of a food name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0015.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0003.flac", "task_type": "lexical_detection", "query": "quantity", "prompt": "After the audio ends, extract all occurrences of the word \"quantity\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0001.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0023.flac", "task_type": "lexical_detection", "query": "mirror", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"mirror\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0017.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0007.flac", "task_type": "lexical_detection", "query": "oxen", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"oxen\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0018.flac", "task_type": "lexical_detection", "query": "protected", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"protected\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0016.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0082", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0082.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "You will hear a complete utterance. When it ends, list every instance of a person's name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0021.flac", "task_type": "lexical_detection", "query": "performed", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"performed\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0020.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen carefully to the entire clip, then report every instance of a family relation as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0034.flac", "task_type": "lexical_detection", "query": "rules", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"rules\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0084", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0084.flac", "task_type": "lexical_detection", "query": "napoleon", "prompt": "Once the audio has finished, identify every instance of the word \"napoleon\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0026.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0012.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the full audio. After it finishes, find every instance of a family relation. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0013.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0021.flac", "task_type": "lexical_detection", "query": "owner", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"owner\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0005.flac", "task_type": "lexical_detection", "query": "painted", "prompt": "When the utterance is complete, report all instances of the word \"painted\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0023.flac", "task_type": "semantic_detection", "query": "country", "prompt": "When the utterance is complete, report all instances of a country name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0021.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen carefully to the entire clip, then report every instance of a number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0015.flac", "task_type": "lexical_detection", "query": "proposal", "prompt": "After the audio ends, extract all occurrences of the word \"proposal\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0008.flac", "task_type": "lexical_detection", "query": "sober", "prompt": "After listening to the whole recording, output every instance of the word \"sober\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0027.flac", "task_type": "lexical_detection", "query": "poop", "prompt": "Once the audio has finished, identify every instance of the word \"poop\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0039.flac", "task_type": "lexical_counting", "query": "precautions", "prompt": "When the utterance is complete, report how the word \"precautions\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0025.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "After the audio ends, tally every instance of a profession. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0024.flac", "task_type": "lexical_detection", "query": "safely", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"safely\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0032.flac", "task_type": "lexical_detection", "query": "schooner", "prompt": "After the audio ends, extract all occurrences of the word \"schooner\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0005.flac", "task_type": "lexical_detection", "query": "prefer", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"prefer\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0016.flac", "task_type": "lexical_detection", "query": "realm", "prompt": "After listening to the whole recording, output every instance of the word \"realm\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0030.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0004.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0022.flac", "task_type": "lexical_detection", "query": "pitied", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"pitied\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0010.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0062", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0062.flac", "task_type": "lexical_detection", "query": "member", "prompt": "After listening to the whole recording, output every instance of the word \"member\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0003.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0020.flac", "task_type": "lexical_detection", "query": "pains", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"pains\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0015.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0010.flac", "task_type": "lexical_counting", "query": "refuses", "prompt": "After listening to the whole recording, output timed count words for the word \"refuses\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0017.flac", "task_type": "lexical_detection", "query": "permanent", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"permanent\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0023.flac", "task_type": "lexical_counting", "query": "sacks", "prompt": "Listen to the entire clip, then report the count sequence for the word \"sacks\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0000.flac", "task_type": "semantic_counting", "query": "city", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a city name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0011.flac", "task_type": "lexical_detection", "query": "undertake", "prompt": "After the audio ends, extract all occurrences of the word \"undertake\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0019.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0019.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0007.flac", "task_type": "lexical_detection", "query": "sensible", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"sensible\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0023.flac", "task_type": "lexical_detection", "query": "prayed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"prayed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0019.flac", "task_type": "lexical_detection", "query": "shout", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"shout\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0004.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Once the audio has finished, identify every instance of a money or currency term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0029.flac", "task_type": "lexical_detection", "query": "obeyed", "prompt": "After listening to the whole recording, output every instance of the word \"obeyed\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0024.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the full audio. After it finishes, find every instance of a profession. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0011.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0013.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0028.flac", "task_type": "lexical_detection", "query": "retreating", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"retreating\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0024.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a profession: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0023.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0025.flac", "task_type": "lexical_detection", "query": "per", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"per\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0017.flac", "task_type": "lexical_detection", "query": "millions", "prompt": "Once the audio has finished, identify every instance of the word \"millions\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0026.flac", "task_type": "semantic_detection", "query": "city", "prompt": "When the utterance is complete, report all instances of a city name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0019.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "After listening to the whole recording, output timed count words for a state or province name (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0020.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0037.flac", "task_type": "lexical_detection", "query": "revealed", "prompt": "Once the audio has finished, identify every instance of the word \"revealed\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0001.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0018.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Do not answer until the audio ends. Then list each instance of a person's name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0037.flac", "task_type": "lexical_detection", "query": "provisions", "prompt": "After the audio ends, extract all occurrences of the word \"provisions\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0009.flac", "task_type": "lexical_detection", "query": "sensitive", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"sensitive\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0034.flac", "task_type": "lexical_detection", "query": "prettier", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"prettier\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0001.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0023.flac", "task_type": "lexical_detection", "query": "paul", "prompt": "Process the full audio offline. Find every instance of the word \"paul\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0004.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0028.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After the audio ends, extract all occurrences of an organization name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0055.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After listening to the whole recording, output every instance of a body part with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0004.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0024.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the full audio. After it finishes, find every instance of an animal name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0061", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0061.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a profession (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0005.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0049.flac", "task_type": "lexical_detection", "query": "pushed", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"pushed\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0021.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0022.flac", "task_type": "lexical_counting", "query": "rhode", "prompt": "Listen to the full audio. Count every occurrence of the word \"rhode\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0004.flac", "task_type": "lexical_detection", "query": "rising", "prompt": "When the utterance is complete, report all instances of the word \"rising\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0046.flac", "task_type": "lexical_detection", "query": "smoke", "prompt": "When the utterance is complete, report all instances of the word \"smoke\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0009.flac", "task_type": "lexical_detection", "query": "scarecrow", "prompt": "Process the full audio offline. Find every instance of the word \"scarecrow\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0005.flac", "task_type": "lexical_detection", "query": "scrape", "prompt": "Once the audio has finished, identify every instance of the word \"scrape\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0039.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0026.flac", "task_type": "lexical_detection", "query": "protect", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"protect\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0022.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0008.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0018.flac", "task_type": "lexical_detection", "query": "reader", "prompt": "After the audio ends, extract all occurrences of the word \"reader\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0019.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0002.flac", "task_type": "lexical_detection", "query": "proves", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"proves\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0013.flac", "task_type": "lexical_detection", "query": "shaking", "prompt": "When the utterance is complete, report all instances of the word \"shaking\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0002.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0040.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a plant name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0034.flac", "task_type": "lexical_detection", "query": "merit", "prompt": "Process the full audio offline. Find every instance of the word \"merit\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0031.flac", "task_type": "lexical_detection", "query": "remote", "prompt": "When the utterance is complete, report all instances of the word \"remote\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0001.flac", "task_type": "lexical_detection", "query": "southern", "prompt": "Process the full audio offline. Find every instance of the word \"southern\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0005.flac", "task_type": "lexical_detection", "query": "receiving", "prompt": "After the audio ends, extract all occurrences of the word \"receiving\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0013.flac", "task_type": "lexical_detection", "query": "shooting", "prompt": "When the utterance is complete, report all instances of the word \"shooting\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0006.flac", "task_type": "semantic_counting", "query": "color", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a color name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0053.flac", "task_type": "lexical_detection", "query": "pole", "prompt": "Process the full audio offline. Find every instance of the word \"pole\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0005.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0037.flac", "task_type": "lexical_detection", "query": "require", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"require\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0049.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0030.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0014.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0009.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0011.flac", "task_type": "lexical_counting", "query": "pouring", "prompt": "Once the audio has finished, list each occurrence of the word \"pouring\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0021.flac", "task_type": "lexical_detection", "query": "travel", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"travel\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0000.flac", "task_type": "lexical_detection", "query": "searching", "prompt": "After listening to the whole recording, output every instance of the word \"searching\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0023.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0038.flac", "task_type": "lexical_detection", "query": "revelation", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"revelation\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0004.flac", "task_type": "lexical_detection", "query": "remove", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"remove\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0014.flac", "task_type": "lexical_detection", "query": "peaceful", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"peaceful\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0016.flac", "task_type": "lexical_detection", "query": "rice", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"rice\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0016.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After the audio ends, extract all occurrences of a food name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0022.flac", "task_type": "lexical_detection", "query": "stout", "prompt": "Once the audio has finished, identify every instance of the word \"stout\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0022.flac", "task_type": "lexical_detection", "query": "mostly", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"mostly\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0012.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After listening to the whole recording, output every instance of a plant name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0024.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0051.flac", "task_type": "lexical_detection", "query": "pursued", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"pursued\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0001.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0000.flac", "task_type": "lexical_detection", "query": "resolution", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"resolution\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0013.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0012.flac", "task_type": "lexical_detection", "query": "nevertheless", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"nevertheless\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0004.flac", "task_type": "lexical_detection", "query": "oranges", "prompt": "After the audio ends, extract all occurrences of the word \"oranges\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0002.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0007.flac", "task_type": "lexical_detection", "query": "raise", "prompt": "After the audio ends, extract all occurrences of the word \"raise\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0022.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0065", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0065.flac", "task_type": "lexical_detection", "query": "refused", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"refused\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0018.flac", "task_type": "semantic_counting", "query": "money", "prompt": "Listen to the full audio. Count every occurrence of a money or currency term. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0014.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0006.flac", "task_type": "lexical_detection", "query": "roughly", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"roughly\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0001.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the full audio. After it finishes, find every instance of a family relation. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0035.flac", "task_type": "lexical_counting", "query": "reported", "prompt": "Listen to the full audio. Count every occurrence of the word \"reported\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0039.flac", "task_type": "lexical_detection", "query": "recognize", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"recognize\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0000.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen carefully to the entire clip, then report every instance of a food name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0014.flac", "task_type": "semantic_counting", "query": "date", "prompt": "Listen to the full audio. Count every occurrence of a date. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0019.flac", "task_type": "semantic_counting", "query": "person_name", "prompt": "When the utterance is complete, report how a person's name accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0019.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0035.flac", "task_type": "lexical_detection", "query": "raw", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"raw\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0054.flac", "task_type": "lexical_detection", "query": "recall", "prompt": "When the utterance is complete, report all instances of the word \"recall\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0003.flac", "task_type": "lexical_detection", "query": "rider", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"rider\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0025.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After listening to the whole recording, output every instance of a date with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0003.flac", "task_type": "lexical_detection", "query": "shouldst", "prompt": "Once the audio has finished, identify every instance of the word \"shouldst\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0030.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Process the full audio offline. Find every instance of a color name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0014.flac", "task_type": "lexical_detection", "query": "requires", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"requires\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0026.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0006.flac", "task_type": "lexical_detection", "query": "snap", "prompt": "Once the audio has finished, identify every instance of the word \"snap\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0025.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0020.flac", "task_type": "lexical_detection", "query": "relieve", "prompt": "When the utterance is complete, report all instances of the word \"relieve\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0044.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Do not answer until the audio ends. Then list each instance of a plant name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0016.flac", "task_type": "lexical_counting", "query": "replaced", "prompt": "Once the audio has finished, list each occurrence of the word \"replaced\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0005.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Do not answer until the audio ends. Then list each instance of a plant name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0018.flac", "task_type": "lexical_detection", "query": "smaller", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"smaller\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0025.flac", "task_type": "lexical_detection", "query": "pushing", "prompt": "After the audio ends, extract all occurrences of the word \"pushing\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0034.flac", "task_type": "lexical_detection", "query": "shouldn't", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"shouldn't\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0024.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0098", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0098.flac", "task_type": "lexical_detection", "query": "rewards", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"rewards\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0004.flac", "task_type": "lexical_detection", "query": "revolt", "prompt": "When the utterance is complete, report all instances of the word \"revolt\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0001.flac", "task_type": "lexical_detection", "query": "screamed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"screamed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0000.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0018.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an ordinal number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0009.flac", "task_type": "lexical_detection", "query": "process", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"process\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0002.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0009.flac", "task_type": "lexical_detection", "query": "signs", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"signs\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0035.flac", "task_type": "lexical_detection", "query": "refuse", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"refuse\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0001.flac", "task_type": "lexical_detection", "query": "upside", "prompt": "When the utterance is complete, report all instances of the word \"upside\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0000.flac", "task_type": "lexical_detection", "query": "recalled", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"recalled\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0008.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, list every instance of a profession you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0003.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0023.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After the audio ends, extract all occurrences of a money or currency term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0047.flac", "task_type": "lexical_detection", "query": "painting", "prompt": "When the utterance is complete, report all instances of the word \"painting\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0047.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After listening to the whole recording, output every instance of a plant name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0005.flac", "task_type": "lexical_detection", "query": "safeguard", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"safeguard\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0045.flac", "task_type": "lexical_detection", "query": "property", "prompt": "Process the full audio offline. Find every instance of the word \"property\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0004.flac", "task_type": "lexical_detection", "query": "resting", "prompt": "Process the full audio offline. Find every instance of the word \"resting\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0007.flac", "task_type": "lexical_detection", "query": "pulling", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"pulling\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0042.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "When the utterance is complete, report all instances of a weather term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0012.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0008.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Listen to the entire clip, then report the count sequence for a state or province name as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0003.flac", "task_type": "lexical_counting", "query": "poet", "prompt": "Process the full audio offline. For every occurrence of the word \"poet\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0003.flac", "task_type": "lexical_detection", "query": "shoot", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"shoot\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0032.flac", "task_type": "lexical_counting", "query": "telegram", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"telegram\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0059", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0059.flac", "task_type": "lexical_detection", "query": "showing", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"showing\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0003.flac", "task_type": "lexical_detection", "query": "soothing", "prompt": "After listening to the whole recording, output every instance of the word \"soothing\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0020.flac", "task_type": "lexical_detection", "query": "shrine", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"shrine\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0023.flac", "task_type": "lexical_detection", "query": "regiments", "prompt": "Process the full audio offline. Find every instance of the word \"regiments\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0001.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0034.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0014.flac", "task_type": "lexical_detection", "query": "responsibility", "prompt": "Process the full audio offline. Find every instance of the word \"responsibility\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0013.flac", "task_type": "lexical_detection", "query": "sufficient", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"sufficient\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0020.flac", "task_type": "lexical_detection", "query": "solomon", "prompt": "After listening to the whole recording, output every instance of the word \"solomon\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0001.flac", "task_type": "lexical_counting", "query": "spiders", "prompt": "Once the audio has finished, list each occurrence of the word \"spiders\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0008.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0034.flac", "task_type": "lexical_detection", "query": "search", "prompt": "After listening to the whole recording, output every instance of the word \"search\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0000.flac", "task_type": "lexical_detection", "query": "nephew", "prompt": "Once the audio has finished, identify every instance of the word \"nephew\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0025.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0012.flac", "task_type": "lexical_detection", "query": "tail", "prompt": "Once the audio has finished, identify every instance of the word \"tail\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0001.flac", "task_type": "lexical_detection", "query": "ridden", "prompt": "After the audio ends, extract all occurrences of the word \"ridden\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0030.flac", "task_type": "lexical_counting", "query": "stammered", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"stammered\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0077", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0077.flac", "task_type": "lexical_detection", "query": "she'd", "prompt": "After the audio ends, extract all occurrences of the word \"she'd\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0033.flac", "task_type": "lexical_counting", "query": "release", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"release\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0015.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After listening to the whole recording, output every instance of a family relation with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0010.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen carefully to the entire clip, then report every instance of a city name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0010.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "When the utterance is complete, report all instances of a weather term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0003.flac", "task_type": "lexical_detection", "query": "sacrifice", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"sacrifice\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0012.flac", "task_type": "semantic_counting", "query": "food", "prompt": "Listen to the full audio. Count every occurrence of a food name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0001.flac", "task_type": "lexical_detection", "query": "sensation", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"sensation\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0012.flac", "task_type": "lexical_detection", "query": "reckon", "prompt": "When the utterance is complete, report all instances of the word \"reckon\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0000.flac", "task_type": "lexical_detection", "query": "nigh", "prompt": "Process the full audio offline. Find every instance of the word \"nigh\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0007.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0019.flac", "task_type": "lexical_detection", "query": "shifted", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"shifted\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0034.flac", "task_type": "lexical_detection", "query": "russia", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"russia\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0011.flac", "task_type": "lexical_detection", "query": "speed", "prompt": "After listening to the whole recording, output every instance of the word \"speed\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0014.flac", "task_type": "lexical_detection", "query": "startled", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"startled\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0016.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0029.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0026.flac", "task_type": "lexical_detection", "query": "songs", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"songs\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0007.flac", "task_type": "semantic_counting", "query": "cardinal", "prompt": "Listen to the full audio. Count every occurrence of a number. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0010.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0029.flac", "task_type": "lexical_detection", "query": "spell", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"spell\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0012.flac", "task_type": "lexical_detection", "query": "rites", "prompt": "After listening to the whole recording, output every instance of the word \"rites\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0062", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0062.flac", "task_type": "lexical_detection", "query": "shone", "prompt": "When the utterance is complete, report all instances of the word \"shone\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0032.flac", "task_type": "lexical_detection", "query": "recognised", "prompt": "When the utterance is complete, report all instances of the word \"recognised\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0053.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Process the full audio offline. Find every instance of a time of day and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0003.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the full audio. After it finishes, find every instance of a body part. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0007.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0037.flac", "task_type": "lexical_detection", "query": "temporary", "prompt": "When the utterance is complete, report all instances of the word \"temporary\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0022.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0035.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0004.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0043.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "When the utterance is complete, report all instances of a plant name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0006.flac", "task_type": "lexical_detection", "query": "setting", "prompt": "Process the full audio offline. Find every instance of the word \"setting\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0031.flac", "task_type": "lexical_detection", "query": "shawl", "prompt": "After the audio ends, extract all occurrences of the word \"shawl\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0020.flac", "task_type": "lexical_detection", "query": "slavery", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"slavery\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0029.flac", "task_type": "lexical_detection", "query": "unworthy", "prompt": "Process the full audio offline. Find every instance of the word \"unworthy\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0019.flac", "task_type": "lexical_detection", "query": "shaw", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"shaw\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0028.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0027.flac", "task_type": "lexical_detection", "query": "quilp", "prompt": "After listening to the whole recording, output every instance of the word \"quilp\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0053.flac", "task_type": "lexical_detection", "query": "slightest", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"slightest\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0010.flac", "task_type": "lexical_detection", "query": "swallowed", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"swallowed\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0003.flac", "task_type": "lexical_counting", "query": "staircase", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"staircase\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0007.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a profession with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0030.flac", "task_type": "semantic_counting", "query": "color", "prompt": "Listen to the full audio. Count every occurrence of a color name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0037.flac", "task_type": "lexical_detection", "query": "suggestion", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"suggestion\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0002.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Process the full audio offline. Find every instance of a body part and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0006.flac", "task_type": "lexical_detection", "query": "scolding", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"scolding\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0025.flac", "task_type": "lexical_detection", "query": "relative", "prompt": "After the audio ends, extract all occurrences of the word \"relative\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0003.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0010.flac", "task_type": "lexical_detection", "query": "scribbling", "prompt": "After listening to the whole recording, output every instance of the word \"scribbling\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0031.flac", "task_type": "lexical_detection", "query": "ringing", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"ringing\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0002.flac", "task_type": "lexical_detection", "query": "spit", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"spit\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0011.flac", "task_type": "lexical_detection", "query": "swinging", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"swinging\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0001.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a plant name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0000.flac", "task_type": "lexical_detection", "query": "safety", "prompt": "After the audio ends, extract all occurrences of the word \"safety\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0024.flac", "task_type": "lexical_detection", "query": "purposely", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"purposely\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0000.flac", "task_type": "lexical_detection", "query": "stamping", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"stamping\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0031.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0038.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0009.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0005.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0028.flac", "task_type": "lexical_detection", "query": "tie", "prompt": "Process the full audio offline. Find every instance of the word \"tie\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0027.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0015.flac", "task_type": "lexical_detection", "query": "slid", "prompt": "After the audio ends, extract all occurrences of the word \"slid\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0036.flac", "task_type": "lexical_detection", "query": "submit", "prompt": "After the audio ends, extract all occurrences of the word \"submit\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0001.flac", "task_type": "lexical_detection", "query": "tends", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"tends\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0038.flac", "task_type": "lexical_detection", "query": "seeking", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"seeking\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0032.flac", "task_type": "lexical_detection", "query": "twelve", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"twelve\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0044.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0051.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0023.flac", "task_type": "lexical_detection", "query": "terribly", "prompt": "Once the audio has finished, identify every instance of the word \"terribly\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0017.flac", "task_type": "lexical_detection", "query": "weight", "prompt": "After the audio ends, extract all occurrences of the word \"weight\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0016.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0000.flac", "task_type": "lexical_detection", "query": "tumbled", "prompt": "After the audio ends, extract all occurrences of the word \"tumbled\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0018.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0015.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0005.flac", "task_type": "lexical_detection", "query": "taught", "prompt": "Process the full audio offline. Find every instance of the word \"taught\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0021.flac", "task_type": "lexical_detection", "query": "strive", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"strive\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0006.flac", "task_type": "lexical_detection", "query": "sailing", "prompt": "After listening to the whole recording, output every instance of the word \"sailing\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0042.flac", "task_type": "lexical_detection", "query": "seed", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"seed\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0018.flac", "task_type": "lexical_detection", "query": "silas", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"silas\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0097", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0097.flac", "task_type": "lexical_detection", "query": "prevent", "prompt": "When the utterance is complete, report all instances of the word \"prevent\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0020.flac", "task_type": "lexical_counting", "query": "sole", "prompt": "Process the full audio offline. For every occurrence of the word \"sole\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0013.flac", "task_type": "lexical_detection", "query": "remind", "prompt": "After listening to the whole recording, output every instance of the word \"remind\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0013.flac", "task_type": "lexical_detection", "query": "smash", "prompt": "Once the audio has finished, identify every instance of the word \"smash\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0017.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0008.flac", "task_type": "lexical_detection", "query": "scarce", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"scarce\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0030.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen carefully to the entire clip, then report every instance of a profession as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0059", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0059.flac", "task_type": "lexical_detection", "query": "veil", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"veil\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0003.flac", "task_type": "lexical_detection", "query": "seal", "prompt": "When the utterance is complete, report all instances of the word \"seal\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0025.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0005.flac", "task_type": "lexical_detection", "query": "ultimate", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"ultimate\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0039.flac", "task_type": "lexical_detection", "query": "tied", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"tied\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0002.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0031.flac", "task_type": "lexical_detection", "query": "stepped", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"stepped\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0013.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0025.flac", "task_type": "lexical_detection", "query": "released", "prompt": "After the audio ends, extract all occurrences of the word \"released\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0002.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the full audio. After it finishes, find every instance of a money or currency term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0018.flac", "task_type": "lexical_detection", "query": "scissors", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"scissors\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0012.flac", "task_type": "lexical_detection", "query": "unexpected", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"unexpected\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0022.flac", "task_type": "lexical_detection", "query": "realise", "prompt": "Process the full audio offline. Find every instance of the word \"realise\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0024.flac", "task_type": "lexical_detection", "query": "stores", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"stores\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0063.flac", "task_type": "lexical_detection", "query": "thomas", "prompt": "After the audio ends, extract all occurrences of the word \"thomas\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0031.flac", "task_type": "semantic_counting", "query": "money", "prompt": "After listening to the whole recording, output timed count words for a money or currency term (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0001.flac", "task_type": "semantic_counting", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a number (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0015.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0023.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a profession: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0008.flac", "task_type": "lexical_counting", "query": "scream", "prompt": "Once the audio has finished, list each occurrence of the word \"scream\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0025.flac", "task_type": "semantic_counting", "query": "organization", "prompt": "Listen to the full audio. Count every occurrence of an organization name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0008.flac", "task_type": "lexical_detection", "query": "shocked", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"shocked\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0010.flac", "task_type": "lexical_detection", "query": "secure", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"secure\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0023.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0052.flac", "task_type": "lexical_detection", "query": "suggested", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"suggested\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0001.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "After the audio ends, tally every instance of a time of day. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0000.flac", "task_type": "lexical_detection", "query": "teeth", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"teeth\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0000.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0020.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of count events for an ordinal number (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0025.flac", "task_type": "lexical_detection", "query": "rights", "prompt": "Once the audio has finished, identify every instance of the word \"rights\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0015.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0007.flac", "task_type": "lexical_counting", "query": "worked", "prompt": "When the utterance is complete, report how the word \"worked\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0039.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0011.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Process the full audio offline. Find every instance of a person's name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0021.flac", "task_type": "lexical_counting", "query": "rule", "prompt": "Listen to the entire clip, then report the count sequence for the word \"rule\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0029.flac", "task_type": "lexical_detection", "query": "riding", "prompt": "When the utterance is complete, report all instances of the word \"riding\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0004.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Once the audio has finished, identify every instance of an animal name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0035.flac", "task_type": "lexical_detection", "query": "ronin", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"ronin\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0030.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After listening to the whole recording, output every instance of a money or currency term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0006.flac", "task_type": "lexical_detection", "query": "useless", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"useless\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0003.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0012.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0015.flac", "task_type": "lexical_detection", "query": "temperature", "prompt": "Once the audio has finished, identify every instance of the word \"temperature\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0027.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "When the utterance is complete, report all instances of a profession including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0064.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0003.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0006.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0012.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0033.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After listening to the whole recording, output every instance of a weather term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0023.flac", "task_type": "lexical_counting", "query": "twinkling", "prompt": "After listening to the whole recording, output timed count words for the word \"twinkling\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0022.flac", "task_type": "lexical_detection", "query": "spare", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"spare\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0097", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0097.flac", "task_type": "lexical_detection", "query": "terror", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"terror\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0010.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Do not answer until the audio ends. Then list each instance of a body part as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0010.flac", "task_type": "lexical_detection", "query": "slight", "prompt": "After listening to the whole recording, output every instance of the word \"slight\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0016.flac", "task_type": "lexical_counting", "query": "situation", "prompt": "Process the full audio offline. For every occurrence of the word \"situation\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0010.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0014.flac", "task_type": "lexical_detection", "query": "willing", "prompt": "Once the audio has finished, identify every instance of the word \"willing\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0001.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0007.flac", "task_type": "lexical_detection", "query": "sold", "prompt": "After the audio ends, extract all occurrences of the word \"sold\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0061", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0061.flac", "task_type": "lexical_detection", "query": "tailor", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"tailor\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0015.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0005.flac", "task_type": "lexical_counting", "query": "sweep", "prompt": "Listen to the entire clip, then report the count sequence for the word \"sweep\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0017.flac", "task_type": "lexical_detection", "query": "steam", "prompt": "When the utterance is complete, report all instances of the word \"steam\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0031.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0017.flac", "task_type": "lexical_detection", "query": "tapped", "prompt": "When the utterance is complete, report all instances of the word \"tapped\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0005.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0035.flac", "task_type": "lexical_detection", "query": "snobbishness", "prompt": "Once the audio has finished, identify every instance of the word \"snobbishness\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0007.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Process the full audio offline. Find every instance of a body part and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0007.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen carefully to the entire clip, then report every instance of a person's name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0031.flac", "task_type": "lexical_detection", "query": "valour", "prompt": "After the audio ends, extract all occurrences of the word \"valour\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0001.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0019.flac", "task_type": "lexical_detection", "query": "weep", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"weep\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0025.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0028.flac", "task_type": "lexical_detection", "query": "weeps", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"weeps\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0001.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0038.flac", "task_type": "lexical_detection", "query": "taste", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"taste\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0030.flac", "task_type": "lexical_detection", "query": "soundly", "prompt": "After the audio ends, extract all occurrences of the word \"soundly\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0012.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "When the utterance is complete, report all instances of an animal name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0030.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0003.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the full audio. After it finishes, find every instance of a time of day. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0070", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0070.flac", "task_type": "lexical_detection", "query": "stroked", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"stroked\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0025.flac", "task_type": "lexical_detection", "query": "threshold", "prompt": "Once the audio has finished, identify every instance of the word \"threshold\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0106", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0106.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Once the audio has finished, identify every instance of a money or currency term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0012.flac", "task_type": "lexical_detection", "query": "windows", "prompt": "When the utterance is complete, report all instances of the word \"windows\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0027.flac", "task_type": "lexical_detection", "query": "roar", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"roar\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0031.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0037.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, list every instance of a weather term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0023.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0042.flac", "task_type": "lexical_detection", "query": "thereafter", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"thereafter\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0021.flac", "task_type": "lexical_detection", "query": "ball", "prompt": "When the utterance is complete, report all instances of the word \"ball\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0068", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0068.flac", "task_type": "lexical_detection", "query": "subdue", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"subdue\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0014.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "When the utterance is complete, report how a weather term accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0022.flac", "task_type": "lexical_detection", "query": "thereupon", "prompt": "Process the full audio offline. Find every instance of the word \"thereupon\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0005.flac", "task_type": "lexical_detection", "query": "whence", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"whence\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0011.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0009.flac", "task_type": "lexical_detection", "query": "scramble", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"scramble\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0035.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0020.flac", "task_type": "lexical_detection", "query": "superior", "prompt": "After listening to the whole recording, output every instance of the word \"superior\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0015.flac", "task_type": "lexical_detection", "query": "sufficiently", "prompt": "After listening to the whole recording, output every instance of the word \"sufficiently\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0007.flac", "task_type": "lexical_detection", "query": "yorick", "prompt": "After the audio ends, extract all occurrences of the word \"yorick\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0003.flac", "task_type": "lexical_detection", "query": "softly", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"softly\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0034.flac", "task_type": "lexical_detection", "query": "sweetheart", "prompt": "Process the full audio offline. Find every instance of the word \"sweetheart\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0022.flac", "task_type": "lexical_detection", "query": "seemingly", "prompt": "Process the full audio offline. Find every instance of the word \"seemingly\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0012.flac", "task_type": "lexical_detection", "query": "tragic", "prompt": "When the utterance is complete, report all instances of the word \"tragic\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0002.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "When the utterance is complete, report all instances of a profession including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0058.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0004.flac", "task_type": "lexical_counting", "query": "smolensk", "prompt": "After the audio ends, tally every instance of the word \"smolensk\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0045.flac", "task_type": "semantic_detection", "query": "food", "prompt": "You will hear a complete utterance. When it ends, list every instance of a food name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0010.flac", "task_type": "lexical_detection", "query": "shutting", "prompt": "After listening to the whole recording, output every instance of the word \"shutting\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0003.flac", "task_type": "lexical_detection", "query": "sweat", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"sweat\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0001.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Process the full audio offline. Find every instance of a country name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0014.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen carefully to the entire clip, then report every instance of a plant name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0009.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After the audio ends, extract all occurrences of a family relation. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0009.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0039.flac", "task_type": "lexical_detection", "query": "tara", "prompt": "After the audio ends, extract all occurrences of the word \"tara\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0025.flac", "task_type": "lexical_detection", "query": "sounds", "prompt": "When the utterance is complete, report all instances of the word \"sounds\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0012.flac", "task_type": "semantic_counting", "query": "country", "prompt": "When the utterance is complete, report how a country name accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0000.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0011.flac", "task_type": "lexical_detection", "query": "wonderfully", "prompt": "Once the audio has finished, identify every instance of the word \"wonderfully\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0016.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0005.flac", "task_type": "lexical_detection", "query": "share", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"share\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0011.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen carefully to the entire clip, then report every instance of a family relation as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0055.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0015.flac", "task_type": "lexical_detection", "query": "softened", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"softened\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0021.flac", "task_type": "lexical_detection", "query": "tent", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"tent\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0035.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0047.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Once the audio has finished, identify every instance of a body part. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0037.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Process the full audio offline. Find every instance of a time of day and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0006.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a country name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0014.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0090", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0090.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0011.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0011.flac", "task_type": "lexical_detection", "query": "stones", "prompt": "Once the audio has finished, identify every instance of the word \"stones\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0011.flac", "task_type": "lexical_detection", "query": "cases", "prompt": "Process the full audio offline. Find every instance of the word \"cases\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0076", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0076.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Do not answer until the audio ends. Then list each instance of a food name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0053.flac", "task_type": "lexical_detection", "query": "snuggers", "prompt": "After the audio ends, extract all occurrences of the word \"snuggers\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0005.flac", "task_type": "lexical_detection", "query": "trees", "prompt": "Once the audio has finished, identify every instance of the word \"trees\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0032.flac", "task_type": "lexical_detection", "query": "stretched", "prompt": "After the audio ends, extract all occurrences of the word \"stretched\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0011.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0018.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0008.flac", "task_type": "lexical_detection", "query": "record", "prompt": "After listening to the whole recording, output every instance of the word \"record\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0074", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0074.flac", "task_type": "lexical_detection", "query": "accused", "prompt": "After the audio ends, extract all occurrences of the word \"accused\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0003.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0024.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Once the audio has finished, identify every instance of a state or province name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0010.flac", "task_type": "lexical_detection", "query": "system", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"system\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0064.flac", "task_type": "lexical_detection", "query": "uncivil", "prompt": "After listening to the whole recording, output every instance of the word \"uncivil\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0045.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the full audio. After it finishes, find every instance of a family relation. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0018.flac", "task_type": "lexical_detection", "query": "staying", "prompt": "Process the full audio offline. Find every instance of the word \"staying\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0033.flac", "task_type": "semantic_counting", "query": "color", "prompt": "After listening to the whole recording, output timed count words for a color name (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0013.flac", "task_type": "lexical_detection", "query": "style", "prompt": "Process the full audio offline. Find every instance of the word \"style\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0043.flac", "task_type": "lexical_detection", "query": "undone", "prompt": "When the utterance is complete, report all instances of the word \"undone\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0098", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0098.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0019.flac", "task_type": "lexical_detection", "query": "veered", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"veered\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0080", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0080.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0036.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0027.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0004.flac", "task_type": "lexical_detection", "query": "troubles", "prompt": "When the utterance is complete, report all instances of the word \"troubles\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0028.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0052.flac", "task_type": "lexical_detection", "query": "thankful", "prompt": "Process the full audio offline. Find every instance of the word \"thankful\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0018.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0073", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0073.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0012.flac", "task_type": "lexical_detection", "query": "unhappy", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"unhappy\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0007.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0022.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0017.flac", "task_type": "lexical_detection", "query": "sufferer", "prompt": "Process the full audio offline. Find every instance of the word \"sufferer\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0008.flac", "task_type": "lexical_detection", "query": "stuffed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"stuffed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0020.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0005.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0012.flac", "task_type": "lexical_detection", "query": "accordingly", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"accordingly\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0009.flac", "task_type": "lexical_detection", "query": "thorough", "prompt": "Process the full audio offline. Find every instance of the word \"thorough\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0015.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0065", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0065.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0079", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0079.flac", "task_type": "lexical_detection", "query": "tossed", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"tossed\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0041.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a weather term: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0018.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0025.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0032.flac", "task_type": "lexical_detection", "query": "weighed", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"weighed\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0032.flac", "task_type": "lexical_detection", "query": "aspect", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"aspect\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0029.flac", "task_type": "lexical_detection", "query": "admitted", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"admitted\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0025.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Process the full audio offline. Find every instance of a color name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0012.flac", "task_type": "lexical_detection", "query": "thither", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"thither\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0032.flac", "task_type": "lexical_detection", "query": "wedding", "prompt": "After the audio ends, extract all occurrences of the word \"wedding\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0020.flac", "task_type": "lexical_detection", "query": "surmise", "prompt": "When the utterance is complete, report all instances of the word \"surmise\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0039.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the full audio. After it finishes, find every instance of a profession. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0019.flac", "task_type": "lexical_detection", "query": "signed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"signed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0017.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0022.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0000.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After the audio ends, extract all occurrences of a money or currency term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0022.flac", "task_type": "lexical_detection", "query": "thief", "prompt": "When the utterance is complete, report all instances of the word \"thief\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0014.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Process the full audio offline. Find every instance of an organization name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0010.flac", "task_type": "lexical_detection", "query": "turns", "prompt": "When the utterance is complete, report all instances of the word \"turns\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0000.flac", "task_type": "lexical_detection", "query": "yield", "prompt": "After the audio ends, extract all occurrences of the word \"yield\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0002.flac", "task_type": "lexical_counting", "query": "tomb", "prompt": "When the utterance is complete, report how the word \"tomb\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0071", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0071.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0009.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "After the audio ends, tally every instance of a plant name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0005.flac", "task_type": "lexical_detection", "query": "velvet", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"velvet\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0030.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0017.flac", "task_type": "lexical_detection", "query": "astonished", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"astonished\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0002.flac", "task_type": "lexical_detection", "query": "actually", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"actually\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0009.flac", "task_type": "lexical_detection", "query": "fires", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"fires\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0025.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0000.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0031.flac", "task_type": "lexical_detection", "query": "task", "prompt": "After listening to the whole recording, output every instance of the word \"task\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0030.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a country name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0024.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0044.flac", "task_type": "lexical_detection", "query": "rapidly", "prompt": "After listening to the whole recording, output every instance of the word \"rapidly\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0082", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0082.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0005.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "When the utterance is complete, report all instances of a state or province name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0020.flac", "task_type": "lexical_detection", "query": "triumphant", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"triumphant\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0016.flac", "task_type": "lexical_detection", "query": "temples", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"temples\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0014.flac", "task_type": "semantic_detection", "query": "country", "prompt": "You will hear a complete utterance. When it ends, list every instance of a country name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0000.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0080", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0080.flac", "task_type": "lexical_detection", "query": "weakness", "prompt": "After the audio ends, extract all occurrences of the word \"weakness\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0020.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen carefully to the entire clip, then report every instance of an animal name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0014.flac", "task_type": "lexical_detection", "query": "avon", "prompt": "Process the full audio offline. Find every instance of the word \"avon\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0008.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After listening to the whole recording, output every instance of a plant name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0020.flac", "task_type": "lexical_detection", "query": "victorian", "prompt": "Once the audio has finished, identify every instance of the word \"victorian\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0031.flac", "task_type": "lexical_detection", "query": "surface", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"surface\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0032.flac", "task_type": "lexical_detection", "query": "succeed", "prompt": "After the audio ends, extract all occurrences of the word \"succeed\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0000.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an ordinal number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0001.flac", "task_type": "lexical_detection", "query": "blessing", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"blessing\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0000.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After listening to the whole recording, output every instance of a person's name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0017.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0025.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Process the full audio offline. For every occurrence of a country name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0038.flac", "task_type": "lexical_detection", "query": "wounds", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"wounds\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0036.flac", "task_type": "lexical_detection", "query": "throat", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"throat\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0000.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Process the full audio offline. Find every instance of a time of day and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0013.flac", "task_type": "lexical_detection", "query": "tight", "prompt": "Process the full audio offline. Find every instance of the word \"tight\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0006.flac", "task_type": "lexical_detection", "query": "visible", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"visible\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0036.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen carefully to the entire clip, then report every instance of a family relation as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0008.flac", "task_type": "lexical_detection", "query": "arrangement", "prompt": "When the utterance is complete, report all instances of the word \"arrangement\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0020.flac", "task_type": "semantic_counting", "query": "money", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a money or currency term with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0022.flac", "task_type": "lexical_detection", "query": "waited", "prompt": "After the audio ends, extract all occurrences of the word \"waited\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0039.flac", "task_type": "lexical_detection", "query": "worthless", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"worthless\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0009.flac", "task_type": "lexical_counting", "query": "bride", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"bride\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0010.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "When the utterance is complete, report all instances of a body part including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0011.flac", "task_type": "lexical_detection", "query": "tightly", "prompt": "When the utterance is complete, report all instances of the word \"tightly\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0009.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0015.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0017.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Do not answer until the audio ends. Then list each instance of a profession as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0029.flac", "task_type": "lexical_detection", "query": "wants", "prompt": "After the audio ends, extract all occurrences of the word \"wants\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0033.flac", "task_type": "lexical_detection", "query": "universal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"universal\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0012.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "Listen to the full audio. Count every occurrence of a time of day. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0013.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0003.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0032.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0032.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0016.flac", "task_type": "lexical_detection", "query": "supposing", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"supposing\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0007.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0023.flac", "task_type": "lexical_detection", "query": "unconsciously", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"unconsciously\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0014.flac", "task_type": "lexical_detection", "query": "trudged", "prompt": "After listening to the whole recording, output every instance of the word \"trudged\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0014.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0074", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0074.flac", "task_type": "lexical_detection", "query": "aid", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"aid\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0016.flac", "task_type": "lexical_detection", "query": "astonishment", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"astonishment\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0020.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0012.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0045.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0026.flac", "task_type": "lexical_detection", "query": "willingly", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"willingly\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0009.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0033.flac", "task_type": "lexical_detection", "query": "younger", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"younger\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0071", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0071.flac", "task_type": "lexical_detection", "query": "anxiety", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"anxiety\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0006.flac", "task_type": "lexical_detection", "query": "wealth", "prompt": "When the utterance is complete, report all instances of the word \"wealth\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0014.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0000.flac", "task_type": "lexical_detection", "query": "wearing", "prompt": "Process the full audio offline. Find every instance of the word \"wearing\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0017.flac", "task_type": "lexical_counting", "query": "bishop", "prompt": "After listening to the whole recording, output timed count words for the word \"bishop\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0037.flac", "task_type": "lexical_detection", "query": "thompson", "prompt": "After listening to the whole recording, output every instance of the word \"thompson\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0028.flac", "task_type": "lexical_detection", "query": "asleep", "prompt": "Once the audio has finished, identify every instance of the word \"asleep\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0031.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Once the audio has finished, identify every instance of an animal name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0028.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After the audio ends, extract all occurrences of a person's name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0005.flac", "task_type": "lexical_counting", "query": "agostino", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"agostino\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0008.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0014.flac", "task_type": "lexical_detection", "query": "superintendent", "prompt": "After the audio ends, extract all occurrences of the word \"superintendent\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0016.flac", "task_type": "lexical_detection", "query": "support", "prompt": "Once the audio has finished, identify every instance of the word \"support\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0010.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0012.flac", "task_type": "lexical_detection", "query": "vale", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"vale\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0028.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an ordinal number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0007.flac", "task_type": "lexical_detection", "query": "attended", "prompt": "Process the full audio offline. Find every instance of the word \"attended\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0000.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0032.flac", "task_type": "lexical_detection", "query": "character", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"character\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0019.flac", "task_type": "lexical_counting", "query": "sworn", "prompt": "Listen to the entire clip, then report the count sequence for the word \"sworn\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0036.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0078", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0078.flac", "task_type": "lexical_detection", "query": "thirst", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"thirst\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0004.flac", "task_type": "lexical_detection", "query": "beach", "prompt": "When the utterance is complete, report all instances of the word \"beach\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0019.flac", "task_type": "lexical_detection", "query": "solemn", "prompt": "After listening to the whole recording, output every instance of the word \"solemn\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0020.flac", "task_type": "lexical_detection", "query": "wisdom", "prompt": "After listening to the whole recording, output every instance of the word \"wisdom\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0050.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0018.flac", "task_type": "lexical_detection", "query": "candles", "prompt": "When the utterance is complete, report all instances of the word \"candles\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0023.flac", "task_type": "lexical_detection", "query": "tiny", "prompt": "When the utterance is complete, report all instances of the word \"tiny\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0005.flac", "task_type": "lexical_detection", "query": "arrival", "prompt": "After listening to the whole recording, output every instance of the word \"arrival\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0029.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0013.flac", "task_type": "lexical_detection", "query": "anger", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"anger\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0021.flac", "task_type": "lexical_counting", "query": "arrested", "prompt": "After listening to the whole recording, output timed count words for the word \"arrested\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0002.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "When the utterance is complete, report all instances of a person's name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0010.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0021.flac", "task_type": "lexical_detection", "query": "sway", "prompt": "Process the full audio offline. Find every instance of the word \"sway\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0007.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0011.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen carefully to the entire clip, then report every instance of a number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0018.flac", "task_type": "lexical_detection", "query": "approached", "prompt": "After the audio ends, extract all occurrences of the word \"approached\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0006.flac", "task_type": "lexical_counting", "query": "tremulously", "prompt": "Listen to the full audio. Count every occurrence of the word \"tremulously\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0019.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0026.flac", "task_type": "lexical_detection", "query": "wasn't", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"wasn't\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0053.flac", "task_type": "lexical_detection", "query": "bowed", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"bowed\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0025.flac", "task_type": "lexical_detection", "query": "american", "prompt": "When the utterance is complete, report all instances of the word \"american\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0039.flac", "task_type": "lexical_detection", "query": "firmly", "prompt": "Process the full audio offline. Find every instance of the word \"firmly\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0007.flac", "task_type": "lexical_counting", "query": "trap", "prompt": "After listening to the whole recording, output timed count words for the word \"trap\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0022.flac", "task_type": "lexical_detection", "query": "variety", "prompt": "After the audio ends, extract all occurrences of the word \"variety\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0038.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0025.flac", "task_type": "lexical_detection", "query": "vengeful", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"vengeful\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0004.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "When the utterance is complete, report all instances of a plant name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0026.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "When the utterance is complete, report all instances of a body part including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0015.flac", "task_type": "lexical_detection", "query": "belinda", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"belinda\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0050.flac", "task_type": "lexical_detection", "query": "thin", "prompt": "Process the full audio offline. Find every instance of the word \"thin\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0018.flac", "task_type": "lexical_counting", "query": "comrades", "prompt": "After listening to the whole recording, output timed count words for the word \"comrades\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0017.flac", "task_type": "lexical_detection", "query": "artist", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"artist\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0024.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Once the audio has finished, identify every instance of a color name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0010.flac", "task_type": "lexical_detection", "query": "bent", "prompt": "When the utterance is complete, report all instances of the word \"bent\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0009.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0017.flac", "task_type": "lexical_detection", "query": "conscious", "prompt": "Once the audio has finished, identify every instance of the word \"conscious\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0031.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After the audio ends, extract all occurrences of a person's name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0009.flac", "task_type": "lexical_detection", "query": "clasped", "prompt": "After listening to the whole recording, output every instance of the word \"clasped\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0030.flac", "task_type": "lexical_detection", "query": "weal", "prompt": "After listening to the whole recording, output every instance of the word \"weal\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0011.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0005.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0006.flac", "task_type": "lexical_detection", "query": "bodily", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"bodily\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0037.flac", "task_type": "lexical_detection", "query": "veiled", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"veiled\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0033.flac", "task_type": "lexical_detection", "query": "bingham", "prompt": "After the audio ends, extract all occurrences of the word \"bingham\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0049.flac", "task_type": "lexical_detection", "query": "teller", "prompt": "After listening to the whole recording, output every instance of the word \"teller\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0011.flac", "task_type": "lexical_detection", "query": "travels", "prompt": "Process the full audio offline. Find every instance of the word \"travels\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0006.flac", "task_type": "lexical_counting", "query": "vexation", "prompt": "After listening to the whole recording, output timed count words for the word \"vexation\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0018.flac", "task_type": "lexical_counting", "query": "woods", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"woods\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0048.flac", "task_type": "lexical_detection", "query": "warm", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"warm\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0001.flac", "task_type": "lexical_detection", "query": "thar", "prompt": "Process the full audio offline. Find every instance of the word \"thar\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0008.flac", "task_type": "lexical_detection", "query": "bench", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"bench\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0026.flac", "task_type": "lexical_detection", "query": "chapter", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"chapter\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0006.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an animal name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0003.flac", "task_type": "lexical_detection", "query": "understood", "prompt": "Once the audio has finished, identify every instance of the word \"understood\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0008.flac", "task_type": "lexical_detection", "query": "declare", "prompt": "Once the audio has finished, identify every instance of the word \"declare\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0026.flac", "task_type": "lexical_detection", "query": "drinking", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"drinking\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0018.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0032.flac", "task_type": "lexical_detection", "query": "utter", "prompt": "Once the audio has finished, identify every instance of the word \"utter\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0024.flac", "task_type": "lexical_detection", "query": "wars", "prompt": "After the audio ends, extract all occurrences of the word \"wars\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0038.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0012.flac", "task_type": "lexical_detection", "query": "venture", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"venture\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0018.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0021.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0006.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0026.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0056.flac", "task_type": "lexical_detection", "query": "scorched", "prompt": "Process the full audio offline. Find every instance of the word \"scorched\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0012.flac", "task_type": "lexical_detection", "query": "upright", "prompt": "Once the audio has finished, identify every instance of the word \"upright\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0015.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0026.flac", "task_type": "lexical_detection", "query": "yonder", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"yonder\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0000.flac", "task_type": "lexical_detection", "query": "engagement", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"engagement\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0015.flac", "task_type": "lexical_detection", "query": "careful", "prompt": "After listening to the whole recording, output every instance of the word \"careful\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0028.flac", "task_type": "lexical_detection", "query": "bow", "prompt": "After listening to the whole recording, output every instance of the word \"bow\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0019.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "When the utterance is complete, report how a disease name accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0039.flac", "task_type": "lexical_detection", "query": "coldly", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"coldly\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0021.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0003.flac", "task_type": "lexical_detection", "query": "trustworthy", "prompt": "When the utterance is complete, report all instances of the word \"trustworthy\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0027.flac", "task_type": "lexical_detection", "query": "trembled", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"trembled\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0019.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0001.flac", "task_type": "lexical_detection", "query": "wave", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"wave\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0012.flac", "task_type": "lexical_counting", "query": "fond", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"fond\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0019.flac", "task_type": "lexical_detection", "query": "deeply", "prompt": "After listening to the whole recording, output every instance of the word \"deeply\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0022.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0058.flac", "task_type": "lexical_detection", "query": "mere", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"mere\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0000.flac", "task_type": "lexical_detection", "query": "destiny", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"destiny\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0022.flac", "task_type": "lexical_detection", "query": "whisper", "prompt": "Once the audio has finished, identify every instance of the word \"whisper\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0004.flac", "task_type": "lexical_detection", "query": "capable", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"capable\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0021.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0028.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0048.flac", "task_type": "lexical_detection", "query": "couch", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"couch\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0008.flac", "task_type": "semantic_counting", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a number: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0072", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0072.flac", "task_type": "lexical_detection", "query": "ain't", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"ain't\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0021.flac", "task_type": "lexical_detection", "query": "cook", "prompt": "When the utterance is complete, report all instances of the word \"cook\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0036.flac", "task_type": "lexical_detection", "query": "wherever", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"wherever\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0001.flac", "task_type": "lexical_detection", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"animal\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0019.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0022.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After listening to the whole recording, output every instance of a body part with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0019.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen carefully to the entire clip, then report every instance of a city name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0002.flac", "task_type": "lexical_counting", "query": "bands", "prompt": "Process the full audio offline. For every occurrence of the word \"bands\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0016.flac", "task_type": "lexical_detection", "query": "youthful", "prompt": "After the audio ends, extract all occurrences of the word \"youthful\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0004.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0006.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Listen to the entire clip, then report the count sequence for a country name as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0003.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0036.flac", "task_type": "lexical_detection", "query": "warren", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"warren\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0021.flac", "task_type": "lexical_detection", "query": "burst", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"burst\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0025.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0030.flac", "task_type": "lexical_counting", "query": "yellow", "prompt": "Listen to the entire clip, then report the count sequence for the word \"yellow\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0037.flac", "task_type": "lexical_detection", "query": "host", "prompt": "Once the audio has finished, identify every instance of the word \"host\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0018.flac", "task_type": "lexical_detection", "query": "attempt", "prompt": "Once the audio has finished, identify every instance of the word \"attempt\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0004.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "When the utterance is complete, report how an ordinal number accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0055.flac", "task_type": "lexical_detection", "query": "workers", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"workers\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0013.flac", "task_type": "lexical_detection", "query": "wrapped", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"wrapped\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0007.flac", "task_type": "lexical_counting", "query": "instead", "prompt": "Process the full audio offline. For every occurrence of the word \"instead\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0008.flac", "task_type": "lexical_detection", "query": "address", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"address\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0082", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0082.flac", "task_type": "lexical_detection", "query": "alcestis", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"alcestis\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0003.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0005.flac", "task_type": "lexical_detection", "query": "universe", "prompt": "Process the full audio offline. Find every instance of the word \"universe\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0043.flac", "task_type": "semantic_detection", "query": "color", "prompt": "When the utterance is complete, report all instances of a color name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0009.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0045.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0001.flac", "task_type": "lexical_detection", "query": "chatterton", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"chatterton\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0018.flac", "task_type": "lexical_detection", "query": "described", "prompt": "After the audio ends, extract all occurrences of the word \"described\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0002.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0011.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0006.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0019.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0025.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0014.flac", "task_type": "lexical_detection", "query": "blazing", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"blazing\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0003.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0042.flac", "task_type": "lexical_detection", "query": "brain", "prompt": "After listening to the whole recording, output every instance of the word \"brain\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0010.flac", "task_type": "lexical_detection", "query": "eating", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"eating\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0018.flac", "task_type": "lexical_detection", "query": "excellent", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"excellent\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0030.flac", "task_type": "lexical_counting", "query": "birthday", "prompt": "After listening to the whole recording, output timed count words for the word \"birthday\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0015.flac", "task_type": "lexical_detection", "query": "yard", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"yard\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0034.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the full audio. After it finishes, find every instance of a country name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0006.flac", "task_type": "lexical_detection", "query": "bridge", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"bridge\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0006.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After the audio ends, extract all occurrences of a money or currency term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0021.flac", "task_type": "lexical_detection", "query": "dame", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"dame\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0041.flac", "task_type": "lexical_detection", "query": "dressed", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"dressed\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0041.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0009.flac", "task_type": "lexical_detection", "query": "borrow", "prompt": "Once the audio has finished, identify every instance of the word \"borrow\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0041.flac", "task_type": "lexical_detection", "query": "conquered", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"conquered\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0035.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0020.flac", "task_type": "lexical_detection", "query": "couple", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"couple\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0002.flac", "task_type": "lexical_detection", "query": "atmosphere", "prompt": "After listening to the whole recording, output every instance of the word \"atmosphere\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0003.flac", "task_type": "lexical_detection", "query": "crossed", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"crossed\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0005.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Process the full audio offline. Find every instance of a money or currency term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0008.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Once the audio has finished, identify every instance of a body part. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0002.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0028.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0003.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0004.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Once the audio has finished, identify every instance of a state or province name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0023.flac", "task_type": "lexical_detection", "query": "aged", "prompt": "Once the audio has finished, identify every instance of the word \"aged\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0003.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0037.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0006.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "When the utterance is complete, report all instances of an animal name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0011.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0003.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0021.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0011.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Once the audio has finished, list each occurrence of a country name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0043.flac", "task_type": "lexical_detection", "query": "confess", "prompt": "Once the audio has finished, identify every instance of the word \"confess\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0011.flac", "task_type": "lexical_detection", "query": "condition", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"condition\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0022.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0005.flac", "task_type": "lexical_detection", "query": "yielded", "prompt": "Process the full audio offline. Find every instance of the word \"yielded\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0004.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0027.flac", "task_type": "lexical_detection", "query": "cruelty", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"cruelty\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0012.flac", "task_type": "lexical_detection", "query": "bearing", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"bearing\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0051.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0003.flac", "task_type": "semantic_counting", "query": "city", "prompt": "After the audio ends, tally every instance of a city name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0001.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the full audio. After it finishes, find every instance of a profession. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0011.flac", "task_type": "lexical_detection", "query": "evergreens", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"evergreens\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0001.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a time of day with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0026.flac", "task_type": "lexical_detection", "query": "cords", "prompt": "Once the audio has finished, identify every instance of the word \"cords\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0011.flac", "task_type": "lexical_detection", "query": "writes", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"writes\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0030.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After listening to the whole recording, output every instance of a city name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0011.flac", "task_type": "lexical_detection", "query": "faces", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"faces\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0021.flac", "task_type": "lexical_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"color\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0017.flac", "task_type": "lexical_detection", "query": "fled", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"fled\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0015.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0009.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "Process the full audio offline. For every occurrence of a profession, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0010.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0002.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a family relation with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0006.flac", "task_type": "lexical_detection", "query": "calves", "prompt": "Process the full audio offline. Find every instance of the word \"calves\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0028.flac", "task_type": "lexical_detection", "query": "difficulty", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"difficulty\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0012.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0032.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the full audio. After it finishes, find every instance of an ordinal number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0011.flac", "task_type": "lexical_detection", "query": "fairweather", "prompt": "After listening to the whole recording, output every instance of the word \"fairweather\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0046.flac", "task_type": "lexical_detection", "query": "drip", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"drip\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0018.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0006.flac", "task_type": "lexical_detection", "query": "doctrine", "prompt": "Process the full audio offline. Find every instance of the word \"doctrine\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0003.flac", "task_type": "lexical_detection", "query": "bobbsey", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"bobbsey\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0009.flac", "task_type": "lexical_detection", "query": "bore", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"bore\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0020.flac", "task_type": "lexical_detection", "query": "vision", "prompt": "Process the full audio offline. Find every instance of the word \"vision\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0013.flac", "task_type": "lexical_detection", "query": "fawn", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"fawn\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0002.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0005.flac", "task_type": "lexical_detection", "query": "temperament", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"temperament\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0016.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the full audio. After it finishes, find every instance of a country name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0012.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Process the full audio offline. Find every instance of a color name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0002.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After listening to the whole recording, output every instance of a country name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0015.flac", "task_type": "lexical_detection", "query": "increase", "prompt": "Once the audio has finished, identify every instance of the word \"increase\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0000.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Once the audio has finished, identify every instance of a person's name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0025.flac", "task_type": "semantic_counting", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, produce a running count of an animal name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0006.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0054.flac", "task_type": "lexical_detection", "query": "expectation", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"expectation\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0025.flac", "task_type": "lexical_detection", "query": "lend", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"lend\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0016.flac", "task_type": "lexical_detection", "query": "doors", "prompt": "When the utterance is complete, report all instances of the word \"doors\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0017.flac", "task_type": "lexical_counting", "query": "delighted", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"delighted\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0009.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0034.flac", "task_type": "lexical_detection", "query": "accustomed", "prompt": "After listening to the whole recording, output every instance of the word \"accustomed\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0002.flac", "task_type": "lexical_detection", "query": "fellows", "prompt": "When the utterance is complete, report all instances of the word \"fellows\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0007.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0027.flac", "task_type": "semantic_counting", "query": "city", "prompt": "After listening to the whole recording, output timed count words for a city name (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0003.flac", "task_type": "lexical_detection", "query": "wistfully", "prompt": "After the audio ends, extract all occurrences of the word \"wistfully\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0001.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0018.flac", "task_type": "lexical_detection", "query": "wives", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"wives\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0032.flac", "task_type": "lexical_detection", "query": "cloth", "prompt": "Once the audio has finished, identify every instance of the word \"cloth\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0046.flac", "task_type": "lexical_detection", "query": "appointment", "prompt": "After the audio ends, extract all occurrences of the word \"appointment\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0008.flac", "task_type": "semantic_counting", "query": "animal", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for an animal name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0003.flac", "task_type": "lexical_detection", "query": "wholly", "prompt": "After listening to the whole recording, output every instance of the word \"wholly\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0016.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Once the audio has finished, identify every instance of a state or province name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0010.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0007.flac", "task_type": "lexical_detection", "query": "washed", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"washed\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0034.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0004.flac", "task_type": "lexical_detection", "query": "erect", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"erect\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0000.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0021.flac", "task_type": "semantic_counting", "query": "date", "prompt": "After listening to the whole recording, output timed count words for a date (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0005.flac", "task_type": "lexical_detection", "query": "depends", "prompt": "When the utterance is complete, report all instances of the word \"depends\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0041.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0026.flac", "task_type": "lexical_detection", "query": "successful", "prompt": "Once the audio has finished, identify every instance of the word \"successful\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0003.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a time of day (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0013.flac", "task_type": "lexical_detection", "query": "victuals", "prompt": "When the utterance is complete, report all instances of the word \"victuals\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0031.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "When the utterance is complete, report how a disease name accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0010.flac", "task_type": "lexical_detection", "query": "easy", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"easy\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0014.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0015.flac", "task_type": "lexical_detection", "query": "forgotten", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"forgotten\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0017.flac", "task_type": "lexical_detection", "query": "doubts", "prompt": "After the audio ends, extract all occurrences of the word \"doubts\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0021.flac", "task_type": "lexical_detection", "query": "appear", "prompt": "Once the audio has finished, identify every instance of the word \"appear\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0037.flac", "task_type": "lexical_detection", "query": "awaiting", "prompt": "When the utterance is complete, report all instances of the word \"awaiting\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0012.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0007.flac", "task_type": "lexical_counting", "query": "dreadful", "prompt": "After the audio ends, tally every instance of the word \"dreadful\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0017.flac", "task_type": "lexical_detection", "query": "directly", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"directly\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0008.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0015.flac", "task_type": "lexical_detection", "query": "instant", "prompt": "Once the audio has finished, identify every instance of the word \"instant\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0029.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0030.flac", "task_type": "lexical_detection", "query": "beauty", "prompt": "Process the full audio offline. Find every instance of the word \"beauty\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0025.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0011.flac", "task_type": "lexical_detection", "query": "greeting", "prompt": "After listening to the whole recording, output every instance of the word \"greeting\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0012.flac", "task_type": "lexical_detection", "query": "crying", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"crying\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0001.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Do not answer until the audio ends. Then list each instance of an animal name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0013.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0029.flac", "task_type": "lexical_detection", "query": "importance", "prompt": "Process the full audio offline. Find every instance of the word \"importance\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0031.flac", "task_type": "lexical_detection", "query": "dwelt", "prompt": "After listening to the whole recording, output every instance of the word \"dwelt\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0013.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Process the full audio offline. For every occurrence of a state or province name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0009.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After the audio ends, extract all occurrences of a profession. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0023.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Once the audio has finished, identify every instance of a food name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0045.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Process the full audio offline. Find every instance of a weather term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0039.flac", "task_type": "lexical_detection", "query": "difference", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"difference\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0000.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0019.flac", "task_type": "lexical_detection", "query": "fallen", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"fallen\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0026.flac", "task_type": "lexical_detection", "query": "special", "prompt": "After listening to the whole recording, output every instance of the word \"special\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0021.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0005.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Do not answer until the audio ends. Then list each instance of a person's name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0005.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the full audio. After it finishes, find every instance of a date. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0045.flac", "task_type": "lexical_detection", "query": "curious", "prompt": "After the audio ends, extract all occurrences of the word \"curious\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0023.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0001.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Listen to the full audio. Count every occurrence of a country name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0024.flac", "task_type": "lexical_counting", "query": "aroused", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"aroused\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0005.flac", "task_type": "lexical_detection", "query": "ceremony", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"ceremony\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0017.flac", "task_type": "lexical_detection", "query": "flight", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"flight\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0014.flac", "task_type": "lexical_detection", "query": "unnecessary", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"unnecessary\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0000.flac", "task_type": "lexical_detection", "query": "dozen", "prompt": "When the utterance is complete, report all instances of the word \"dozen\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0038.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, produce a running count of an ordinal number: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0002.flac", "task_type": "lexical_detection", "query": "depend", "prompt": "Once the audio has finished, identify every instance of the word \"depend\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0020.flac", "task_type": "lexical_detection", "query": "cursed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"cursed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0025.flac", "task_type": "lexical_detection", "query": "forced", "prompt": "After the audio ends, extract all occurrences of the word \"forced\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0027.flac", "task_type": "lexical_detection", "query": "alarm", "prompt": "After listening to the whole recording, output every instance of the word \"alarm\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0073", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0073.flac", "task_type": "lexical_detection", "query": "engaged", "prompt": "Once the audio has finished, identify every instance of the word \"engaged\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0005.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Once the audio has finished, identify every instance of an animal name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0004.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0042.flac", "task_type": "lexical_detection", "query": "delay", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"delay\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0009.flac", "task_type": "lexical_detection", "query": "consequences", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"consequences\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0055.flac", "task_type": "lexical_detection", "query": "constituting", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"constituting\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0000.flac", "task_type": "lexical_detection", "query": "distant", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"distant\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0024.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen carefully to the entire clip, then report every instance of a family relation as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0027.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0008.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0010.flac", "task_type": "lexical_detection", "query": "italian", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"italian\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0007.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a body part with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0005.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0000.flac", "task_type": "lexical_detection", "query": "accomplish", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"accomplish\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0018.flac", "task_type": "lexical_detection", "query": "doubting", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"doubting\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0064.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0004.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0004.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0008.flac", "task_type": "lexical_counting", "query": "complete", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"complete\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0037.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen carefully to the entire clip, then report every instance of a body part as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0039.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0011.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Process the full audio offline. For every occurrence of a country name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0002.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen carefully to the entire clip, then report every instance of a profession as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0100", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0100.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0002.flac", "task_type": "lexical_detection", "query": "francesco", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"francesco\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0004.flac", "task_type": "lexical_detection", "query": "birds", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"birds\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0021.flac", "task_type": "semantic_counting", "query": "food", "prompt": "Process the full audio offline. For every occurrence of a food name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0026.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0035.flac", "task_type": "lexical_detection", "query": "field", "prompt": "After the audio ends, extract all occurrences of the word \"field\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0011.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0019.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0031.flac", "task_type": "lexical_detection", "query": "worsted", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"worsted\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0051.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0004.flac", "task_type": "lexical_detection", "query": "eighteen", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"eighteen\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0023.flac", "task_type": "lexical_detection", "query": "fly", "prompt": "When the utterance is complete, report all instances of the word \"fly\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0012.flac", "task_type": "lexical_detection", "query": "meetings", "prompt": "Once the audio has finished, identify every instance of the word \"meetings\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0010.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0015.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0037.flac", "task_type": "lexical_detection", "query": "creatures", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"creatures\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0045.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0018.flac", "task_type": "lexical_detection", "query": "corrals", "prompt": "When the utterance is complete, report all instances of the word \"corrals\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0008.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "When the utterance is complete, report all instances of a profession including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0005.flac", "task_type": "lexical_detection", "query": "buried", "prompt": "After listening to the whole recording, output every instance of the word \"buried\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0052.flac", "task_type": "lexical_detection", "query": "confessed", "prompt": "Process the full audio offline. Find every instance of the word \"confessed\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0010.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Do not answer until the audio ends. Then list each instance of a plant name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0028.flac", "task_type": "lexical_detection", "query": "double", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"double\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0014.flac", "task_type": "lexical_detection", "query": "faded", "prompt": "After listening to the whole recording, output every instance of the word \"faded\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0021.flac", "task_type": "lexical_detection", "query": "noticed", "prompt": "After the audio ends, extract all occurrences of the word \"noticed\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0004.flac", "task_type": "lexical_counting", "query": "flossie", "prompt": "When the utterance is complete, report how the word \"flossie\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0004.flac", "task_type": "lexical_detection", "query": "execution", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"execution\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0009.flac", "task_type": "lexical_detection", "query": "expectations", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"expectations\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0016.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen carefully to the entire clip, then report every instance of a number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0023.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0034.flac", "task_type": "lexical_detection", "query": "deadly", "prompt": "Once the audio has finished, identify every instance of the word \"deadly\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0018.flac", "task_type": "lexical_detection", "query": "falls", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"falls\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0001.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0000.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0017.flac", "task_type": "semantic_counting", "query": "organization", "prompt": "When the utterance is complete, report how an organization name accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0003.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen carefully to the entire clip, then report every instance of a food name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0007.flac", "task_type": "lexical_counting", "query": "month", "prompt": "After listening to the whole recording, output timed count words for the word \"month\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0009.flac", "task_type": "lexical_detection", "query": "freddie", "prompt": "When the utterance is complete, report all instances of the word \"freddie\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0024.flac", "task_type": "lexical_detection", "query": "except", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"except\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0000.flac", "task_type": "lexical_detection", "query": "fiction", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"fiction\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0012.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the full audio. After it finishes, find every instance of a country name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0009.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0038.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a body part with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0012.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0022.flac", "task_type": "lexical_detection", "query": "nonsense", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"nonsense\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0006.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0049.flac", "task_type": "lexical_detection", "query": "fore", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"fore\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0005.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the full audio. After it finishes, find every instance of a time of day. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0078", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0078.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0004.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Listen to the full audio. Count every occurrence of a country name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0012.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Listen to the full audio. Count every occurrence of a state or province name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0012.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0005.flac", "task_type": "lexical_detection", "query": "information", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"information\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0013.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "When the utterance is complete, report all instances of a weather term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0002.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "You will hear a complete utterance. When it ends, list every instance of a body part you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0011.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0017.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the full audio. After it finishes, find every instance of a body part. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0011.flac", "task_type": "lexical_detection", "query": "brightened", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"brightened\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0026.flac", "task_type": "lexical_detection", "query": "truly", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"truly\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0008.flac", "task_type": "lexical_detection", "query": "excited", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"excited\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0015.flac", "task_type": "lexical_detection", "query": "gay", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"gay\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0015.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0033.flac", "task_type": "lexical_counting", "query": "draw", "prompt": "After listening to the whole recording, output timed count words for the word \"draw\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0029.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0027.flac", "task_type": "lexical_detection", "query": "occasions", "prompt": "Process the full audio offline. Find every instance of the word \"occasions\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0016.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0062", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0062.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0036.flac", "task_type": "semantic_detection", "query": "country", "prompt": "When the utterance is complete, report all instances of a country name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0026.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "After the audio ends, tally every instance of a profession. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0008.flac", "task_type": "lexical_detection", "query": "burial", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"burial\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0019.flac", "task_type": "lexical_detection", "query": "determination", "prompt": "After listening to the whole recording, output every instance of the word \"determination\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0020.flac", "task_type": "lexical_detection", "query": "flushed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"flushed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0014.flac", "task_type": "lexical_detection", "query": "companion", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"companion\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0012.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245715-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245715/7697-245715-0001.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "When the utterance is complete, report all instances of a body part including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0023.flac", "task_type": "lexical_detection", "query": "gillis", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"gillis\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0003.flac", "task_type": "lexical_detection", "query": "eager", "prompt": "Once the audio has finished, identify every instance of the word \"eager\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0014.flac", "task_type": "lexical_counting", "query": "honourable", "prompt": "After the audio ends, tally every instance of the word \"honourable\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0009.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0014.flac", "task_type": "lexical_detection", "query": "excuse", "prompt": "When the utterance is complete, report all instances of the word \"excuse\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0025.flac", "task_type": "lexical_detection", "query": "dearest", "prompt": "Once the audio has finished, identify every instance of the word \"dearest\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0016.flac", "task_type": "lexical_detection", "query": "distinguished", "prompt": "Once the audio has finished, identify every instance of the word \"distinguished\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0008.flac", "task_type": "lexical_detection", "query": "dining", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"dining\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0060", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0060.flac", "task_type": "lexical_detection", "query": "design", "prompt": "Once the audio has finished, identify every instance of the word \"design\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0025.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0013.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0063.flac", "task_type": "lexical_detection", "query": "foes", "prompt": "After the audio ends, extract all occurrences of the word \"foes\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0020.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0055.flac", "task_type": "lexical_detection", "query": "haven't", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"haven't\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0011.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0022.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After the audio ends, extract all occurrences of a food name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0005.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0020.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0022.flac", "task_type": "lexical_counting", "query": "he'll", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"he'll\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0033.flac", "task_type": "lexical_detection", "query": "lightly", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"lightly\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0023.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Once the audio has finished, identify every instance of a person's name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0011.flac", "task_type": "semantic_counting", "query": "money", "prompt": "When the utterance is complete, report how a money or currency term accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0008.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0013.flac", "task_type": "lexical_detection", "query": "persisted", "prompt": "Process the full audio offline. Find every instance of the word \"persisted\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0002.flac", "task_type": "lexical_detection", "query": "august", "prompt": "When the utterance is complete, report all instances of the word \"august\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0015.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0015.flac", "task_type": "semantic_counting", "query": "date", "prompt": "Listen to the full audio. Count every occurrence of a date. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0022.flac", "task_type": "lexical_detection", "query": "hit", "prompt": "After listening to the whole recording, output every instance of the word \"hit\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0033.flac", "task_type": "lexical_detection", "query": "boats", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"boats\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0010.flac", "task_type": "lexical_detection", "query": "merry", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"merry\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0000.flac", "task_type": "lexical_detection", "query": "deed", "prompt": "When the utterance is complete, report all instances of the word \"deed\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0003.flac", "task_type": "lexical_detection", "query": "equally", "prompt": "Once the audio has finished, identify every instance of the word \"equally\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0005.flac", "task_type": "lexical_detection", "query": "chola", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"chola\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0016.flac", "task_type": "lexical_detection", "query": "daylight", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"daylight\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0038.flac", "task_type": "lexical_detection", "query": "natasha", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"natasha\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0000.flac", "task_type": "lexical_detection", "query": "fill", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"fill\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0008.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0005.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0013.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0030.flac", "task_type": "lexical_detection", "query": "borne", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"borne\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0010.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0003.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen carefully to the entire clip, then report every instance of a plant name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0040.flac", "task_type": "lexical_detection", "query": "individuals", "prompt": "Once the audio has finished, identify every instance of the word \"individuals\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0014.flac", "task_type": "lexical_detection", "query": "monarch", "prompt": "After the audio ends, extract all occurrences of the word \"monarch\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0033.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0003.flac", "task_type": "lexical_detection", "query": "delayed", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"delayed\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0029.flac", "task_type": "semantic_detection", "query": "food", "prompt": "You will hear a complete utterance. When it ends, list every instance of a food name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0020.flac", "task_type": "lexical_detection", "query": "decided", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"decided\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0013.flac", "task_type": "lexical_detection", "query": "frederick", "prompt": "After the audio ends, extract all occurrences of the word \"frederick\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0001.flac", "task_type": "lexical_counting", "query": "gas", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"gas\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0037.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0006.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After the audio ends, extract all occurrences of a money or currency term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0042.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0019.flac", "task_type": "lexical_detection", "query": "christmas", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"christmas\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0010.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a disease name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0009.flac", "task_type": "lexical_detection", "query": "imagine", "prompt": "After listening to the whole recording, output every instance of the word \"imagine\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0009.flac", "task_type": "lexical_detection", "query": "painful", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"painful\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0050.flac", "task_type": "lexical_detection", "query": "folded", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"folded\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0005.flac", "task_type": "semantic_counting", "query": "city", "prompt": "After listening to the whole recording, output timed count words for a city name (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0010.flac", "task_type": "lexical_detection", "query": "humanity", "prompt": "After the audio ends, extract all occurrences of the word \"humanity\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0096", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0096.flac", "task_type": "lexical_detection", "query": "dismounted", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"dismounted\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0030.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Process the full audio offline. Find every instance of a weather term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0003.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0017.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0037.flac", "task_type": "lexical_detection", "query": "fat", "prompt": "When the utterance is complete, report all instances of the word \"fat\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0001.flac", "task_type": "lexical_detection", "query": "denied", "prompt": "Process the full audio offline. Find every instance of the word \"denied\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0016.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "After listening to the whole recording, output timed count words for a plant name (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0004.flac", "task_type": "lexical_detection", "query": "inquiring", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"inquiring\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0029.flac", "task_type": "lexical_detection", "query": "drop", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"drop\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0002.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0015.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0002.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the full audio. After it finishes, find every instance of an animal name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0017.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0048.flac", "task_type": "lexical_detection", "query": "merrick", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"merrick\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0033.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0031.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0017.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Once the audio has finished, identify every instance of a body part. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0014.flac", "task_type": "lexical_detection", "query": "earnestly", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"earnestly\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0011.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0025.flac", "task_type": "lexical_detection", "query": "grass", "prompt": "Process the full audio offline. Find every instance of the word \"grass\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0001.flac", "task_type": "lexical_detection", "query": "glass", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"glass\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0042.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "Process the full audio offline. For every occurrence of a time of day, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0034.flac", "task_type": "lexical_detection", "query": "driven", "prompt": "After the audio ends, extract all occurrences of the word \"driven\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0032.flac", "task_type": "lexical_detection", "query": "hat", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"hat\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0000.flac", "task_type": "lexical_detection", "query": "giorgio", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"giorgio\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0020.flac", "task_type": "lexical_detection", "query": "hatch", "prompt": "Once the audio has finished, identify every instance of the word \"hatch\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0001.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Process the full audio offline. Find every instance of a money or currency term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0045.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0014.flac", "task_type": "lexical_detection", "query": "guided", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"guided\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0041.flac", "task_type": "lexical_detection", "query": "hitherto", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"hitherto\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0004.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0041.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0025.flac", "task_type": "lexical_detection", "query": "harp", "prompt": "When the utterance is complete, report all instances of the word \"harp\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0014.flac", "task_type": "lexical_detection", "query": "humour", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"humour\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0023.flac", "task_type": "lexical_detection", "query": "loss", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"loss\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0014.flac", "task_type": "lexical_detection", "query": "midst", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"midst\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0003.flac", "task_type": "lexical_detection", "query": "features", "prompt": "When the utterance is complete, report all instances of the word \"features\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0090", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0090.flac", "task_type": "lexical_detection", "query": "memory", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"memory\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0026.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0016.flac", "task_type": "lexical_detection", "query": "destruction", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"destruction\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0019.flac", "task_type": "lexical_detection", "query": "feels", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"feels\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0009.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the full audio. After it finishes, find every instance of a money or currency term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0009.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0008.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0041.flac", "task_type": "lexical_detection", "query": "future", "prompt": "Process the full audio offline. Find every instance of the word \"future\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0020.flac", "task_type": "lexical_detection", "query": "grace", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"grace\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0019.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0079", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0079.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0087", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0087.flac", "task_type": "lexical_detection", "query": "idle", "prompt": "After the audio ends, extract all occurrences of the word \"idle\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0001.flac", "task_type": "lexical_detection", "query": "probably", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"probably\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0016.flac", "task_type": "lexical_detection", "query": "louise", "prompt": "Process the full audio offline. Find every instance of the word \"louise\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0029.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the full audio. After it finishes, find every instance of a profession. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0023.flac", "task_type": "lexical_detection", "query": "hate", "prompt": "When the utterance is complete, report all instances of the word \"hate\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0011.flac", "task_type": "lexical_detection", "query": "instance", "prompt": "Once the audio has finished, identify every instance of the word \"instance\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0020.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0012.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Process the full audio offline. Find every instance of a weather term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0041.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen carefully to the entire clip, then report every instance of a body part as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0028.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0021.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0035.flac", "task_type": "lexical_counting", "query": "joel", "prompt": "Listen to the entire clip, then report the count sequence for the word \"joel\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0021.flac", "task_type": "lexical_detection", "query": "religion", "prompt": "Once the audio has finished, identify every instance of the word \"religion\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0064.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0008.flac", "task_type": "lexical_detection", "query": "ironical", "prompt": "Process the full audio offline. Find every instance of the word \"ironical\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0026.flac", "task_type": "lexical_detection", "query": "hearing", "prompt": "After the audio ends, extract all occurrences of the word \"hearing\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0014.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0011.flac", "task_type": "lexical_detection", "query": "cabin", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"cabin\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0017.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0008.flac", "task_type": "semantic_counting", "query": "country", "prompt": "After the audio ends, tally every instance of a country name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0025.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0029.flac", "task_type": "lexical_counting", "query": "infinite", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"infinite\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0010.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen carefully to the entire clip, then report every instance of a number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0043.flac", "task_type": "lexical_detection", "query": "labor", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"labor\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0005.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0004.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0096", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0096.flac", "task_type": "lexical_detection", "query": "intended", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"intended\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0055.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0004.flac", "task_type": "lexical_detection", "query": "kenneth", "prompt": "After listening to the whole recording, output every instance of the word \"kenneth\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0022.flac", "task_type": "lexical_detection", "query": "enter", "prompt": "Once the audio has finished, identify every instance of the word \"enter\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0013.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0013.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Process the full audio offline. Find every instance of a money or currency term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0019.flac", "task_type": "lexical_detection", "query": "imagined", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"imagined\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0004.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0047.flac", "task_type": "lexical_detection", "query": "hacienda", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"hacienda\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0000.flac", "task_type": "lexical_detection", "query": "fierce", "prompt": "When the utterance is complete, report all instances of the word \"fierce\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0010.flac", "task_type": "lexical_detection", "query": "leaves", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"leaves\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0016.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0008.flac", "task_type": "lexical_detection", "query": "keen", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"keen\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0035.flac", "task_type": "lexical_detection", "query": "helstone", "prompt": "Process the full audio offline. Find every instance of the word \"helstone\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0001.flac", "task_type": "lexical_detection", "query": "hunter", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"hunter\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0003.flac", "task_type": "lexical_detection", "query": "cries", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"cries\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0031.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After listening to the whole recording, output every instance of a plant name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0005.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After the audio ends, extract all occurrences of a body part. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0013.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0039.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0010.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0012.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0034.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0002.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen carefully to the entire clip, then report every instance of a country name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0005.flac", "task_type": "lexical_detection", "query": "dropped", "prompt": "Process the full audio offline. Find every instance of the word \"dropped\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0015.flac", "task_type": "lexical_detection", "query": "pilot", "prompt": "Once the audio has finished, identify every instance of the word \"pilot\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0050.flac", "task_type": "lexical_counting", "query": "gun", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"gun\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0011.flac", "task_type": "lexical_detection", "query": "ride", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"ride\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0012.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0018.flac", "task_type": "lexical_detection", "query": "parties", "prompt": "After the audio ends, extract all occurrences of the word \"parties\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0092", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0092.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After listening to the whole recording, output every instance of a weather term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0001.flac", "task_type": "lexical_detection", "query": "loves", "prompt": "After the audio ends, extract all occurrences of the word \"loves\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0011.flac", "task_type": "semantic_counting", "query": "date", "prompt": "After listening to the whole recording, output timed count words for a date (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0007.flac", "task_type": "lexical_detection", "query": "flying", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"flying\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0009.flac", "task_type": "lexical_detection", "query": "noble", "prompt": "After the audio ends, extract all occurrences of the word \"noble\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0005.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0034.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Process the full audio offline. For every occurrence of a family relation, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0006.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the full audio. After it finishes, find every instance of a family relation. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0011.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0034.flac", "task_type": "lexical_detection", "query": "difficulties", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"difficulties\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0002.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0005.flac", "task_type": "lexical_detection", "query": "row", "prompt": "When the utterance is complete, report all instances of the word \"row\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0002.flac", "task_type": "lexical_detection", "query": "joyous", "prompt": "Once the audio has finished, identify every instance of the word \"joyous\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0025.flac", "task_type": "lexical_detection", "query": "gratitude", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"gratitude\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0000.flac", "task_type": "lexical_counting", "query": "mercy", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"mercy\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0022.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0002.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0002.flac", "task_type": "lexical_detection", "query": "opposition", "prompt": "Process the full audio offline. Find every instance of the word \"opposition\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0029.flac", "task_type": "semantic_counting", "query": "animal", "prompt": "Listen to the full audio. Count every occurrence of an animal name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0028.flac", "task_type": "lexical_detection", "query": "refusal", "prompt": "After listening to the whole recording, output every instance of the word \"refusal\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0004.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "When the utterance is complete, report all instances of a plant name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0044.flac", "task_type": "lexical_detection", "query": "required", "prompt": "When the utterance is complete, report all instances of the word \"required\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0088", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0088.flac", "task_type": "lexical_detection", "query": "nearer", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"nearer\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0013.flac", "task_type": "lexical_detection", "query": "objection", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"objection\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0008.flac", "task_type": "lexical_detection", "query": "hook", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"hook\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0010.flac", "task_type": "lexical_detection", "query": "greet", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"greet\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0018.flac", "task_type": "lexical_detection", "query": "mood", "prompt": "When the utterance is complete, report all instances of the word \"mood\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0002.flac", "task_type": "lexical_detection", "query": "hopeful", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"hopeful\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0079", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0079.flac", "task_type": "lexical_detection", "query": "produce", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"produce\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0011.flac", "task_type": "lexical_detection", "query": "dogs", "prompt": "After listening to the whole recording, output every instance of the word \"dogs\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0019.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0065", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0065.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0003.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0046.flac", "task_type": "lexical_detection", "query": "lest", "prompt": "Once the audio has finished, identify every instance of the word \"lest\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0011.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0031.flac", "task_type": "lexical_detection", "query": "lashing", "prompt": "When the utterance is complete, report all instances of the word \"lashing\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0001.flac", "task_type": "lexical_detection", "query": "noise", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"noise\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0002.flac", "task_type": "semantic_detection", "query": "country", "prompt": "When the utterance is complete, report all instances of a country name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0006.flac", "task_type": "lexical_detection", "query": "lonely", "prompt": "Once the audio has finished, identify every instance of the word \"lonely\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0001.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0008.flac", "task_type": "lexical_detection", "query": "lack", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"lack\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0008.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0013.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0013.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Process the full audio offline. Find every instance of a country name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0035.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0016.flac", "task_type": "lexical_detection", "query": "hound", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"hound\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0036.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0012.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0020.flac", "task_type": "lexical_detection", "query": "peleg", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"peleg\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0020.flac", "task_type": "lexical_detection", "query": "plains", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"plains\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0024.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "When the utterance is complete, report all instances of a weather term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0101", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0101.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0053.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0020.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0042.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a body part with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0012.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Process the full audio offline. Find every instance of a color name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0043.flac", "task_type": "lexical_detection", "query": "unsatisfied", "prompt": "Once the audio has finished, identify every instance of the word \"unsatisfied\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0011.flac", "task_type": "lexical_detection", "query": "balance", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"balance\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0028.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After the audio ends, extract all occurrences of a food name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0054.flac", "task_type": "lexical_detection", "query": "oft", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"oft\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0000.flac", "task_type": "lexical_detection", "query": "humble", "prompt": "Process the full audio offline. Find every instance of the word \"humble\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0033.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the full audio. After it finishes, find every instance of a time of day. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0038.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a body part with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0003.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0040.flac", "task_type": "lexical_detection", "query": "horn", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"horn\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0023.flac", "task_type": "semantic_counting", "query": "country", "prompt": "When the utterance is complete, report how a country name accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0006.flac", "task_type": "lexical_detection", "query": "passion", "prompt": "After listening to the whole recording, output every instance of the word \"passion\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0019.flac", "task_type": "lexical_detection", "query": "kate", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"kate\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0003.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0063.flac", "task_type": "lexical_counting", "query": "lights", "prompt": "Process the full audio offline. For every occurrence of the word \"lights\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0043.flac", "task_type": "lexical_detection", "query": "mournful", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"mournful\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0021.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a profession with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0024.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0030.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a plant name (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0038.flac", "task_type": "lexical_detection", "query": "lodging", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"lodging\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0041.flac", "task_type": "lexical_detection", "query": "kings", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"kings\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0038.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0078", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0078.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the full audio. After it finishes, find every instance of a time of day. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0001.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0019.flac", "task_type": "lexical_detection", "query": "bone", "prompt": "After listening to the whole recording, output every instance of the word \"bone\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0029.flac", "task_type": "lexical_detection", "query": "occur", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"occur\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0003.flac", "task_type": "semantic_counting", "query": "food", "prompt": "Once the audio has finished, list each occurrence of a food name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0008.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After listening to the whole recording, output every instance of a number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0004.flac", "task_type": "lexical_detection", "query": "periodical", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"periodical\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0010.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Process the full audio offline. For every occurrence of a family relation, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0001.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0012.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0053.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0019.flac", "task_type": "lexical_detection", "query": "explained", "prompt": "When the utterance is complete, report all instances of the word \"explained\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0033.flac", "task_type": "lexical_detection", "query": "mild", "prompt": "Process the full audio offline. Find every instance of the word \"mild\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0042.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0048.flac", "task_type": "lexical_detection", "query": "lead", "prompt": "Process the full audio offline. Find every instance of the word \"lead\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0001.flac", "task_type": "lexical_detection", "query": "involved", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"involved\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0029.flac", "task_type": "lexical_detection", "query": "reign", "prompt": "When the utterance is complete, report all instances of the word \"reign\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0107", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0107.flac", "task_type": "lexical_detection", "query": "philosophy", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"philosophy\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0006.flac", "task_type": "lexical_detection", "query": "infant", "prompt": "When the utterance is complete, report all instances of the word \"infant\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0049.flac", "task_type": "lexical_detection", "query": "quarters", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"quarters\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0011.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for an ordinal number with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0012.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0026.flac", "task_type": "lexical_detection", "query": "liked", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"liked\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0001.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0008.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen carefully to the entire clip, then report every instance of a family relation as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0012.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0061", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0061.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Once the audio has finished, identify every instance of a country name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0026.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0008.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0014.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "Listen to the entire clip, then report the count sequence for an ordinal number as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0002.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen carefully to the entire clip, then report every instance of a plant name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0015.flac", "task_type": "lexical_detection", "query": "haste", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"haste\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0026.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Process the full audio offline. For every occurrence of a plant name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0025.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0021.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0025.flac", "task_type": "lexical_detection", "query": "public", "prompt": "Process the full audio offline. Find every instance of the word \"public\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0023.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a plant name (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0075", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0075.flac", "task_type": "lexical_detection", "query": "falling", "prompt": "After the audio ends, extract all occurrences of the word \"falling\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0025.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0002.flac", "task_type": "lexical_detection", "query": "recently", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"recently\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0015.flac", "task_type": "lexical_detection", "query": "favour", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"favour\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0012.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0015.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0010.flac", "task_type": "lexical_counting", "query": "generation", "prompt": "When the utterance is complete, report how the word \"generation\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0003.flac", "task_type": "semantic_counting", "query": "date", "prompt": "After listening to the whole recording, output timed count words for a date (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0001.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0002.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "Process the full audio offline. For every occurrence of a disease name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0003.flac", "task_type": "lexical_detection", "query": "matthew", "prompt": "When the utterance is complete, report all instances of the word \"matthew\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0040.flac", "task_type": "lexical_detection", "query": "interesting", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"interesting\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0056.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0027.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After the audio ends, extract all occurrences of a profession. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0017.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0022.flac", "task_type": "lexical_detection", "query": "halted", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"halted\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0095", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0095.flac", "task_type": "lexical_detection", "query": "goes", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"goes\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0044.flac", "task_type": "lexical_detection", "query": "praise", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"praise\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0015.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "You will hear a complete utterance. When it ends, list every instance of a body part you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0009.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a family relation with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0069", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0069.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the full audio. After it finishes, find every instance of a country name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0001.flac", "task_type": "lexical_detection", "query": "sita", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"sita\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0044.flac", "task_type": "lexical_detection", "query": "kissed", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"kissed\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0011.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0028.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After listening to the whole recording, output every instance of a city name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0005.flac", "task_type": "lexical_detection", "query": "helpless", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"helpless\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0020.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0035.flac", "task_type": "lexical_detection", "query": "mate", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"mate\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0047.flac", "task_type": "lexical_detection", "query": "recommendation", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"recommendation\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0019.flac", "task_type": "lexical_counting", "query": "lovers", "prompt": "After listening to the whole recording, output timed count words for the word \"lovers\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0000.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0009.flac", "task_type": "lexical_detection", "query": "loving", "prompt": "After the audio ends, extract all occurrences of the word \"loving\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0006.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Do not answer until the audio ends. Then list each instance of a person's name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0013.flac", "task_type": "lexical_detection", "query": "leg", "prompt": "Process the full audio offline. Find every instance of the word \"leg\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0021.flac", "task_type": "lexical_detection", "query": "laws", "prompt": "After the audio ends, extract all occurrences of the word \"laws\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0024.flac", "task_type": "lexical_detection", "query": "impatiently", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"impatiently\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0032.flac", "task_type": "lexical_detection", "query": "reached", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"reached\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0041.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After the audio ends, extract all occurrences of an organization name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0007.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0024.flac", "task_type": "lexical_detection", "query": "modified", "prompt": "Process the full audio offline. Find every instance of the word \"modified\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0001.flac", "task_type": "lexical_detection", "query": "purpose", "prompt": "After the audio ends, extract all occurrences of the word \"purpose\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0010.flac", "task_type": "lexical_detection", "query": "relief", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"relief\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0007.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0019.flac", "task_type": "lexical_detection", "query": "mad", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"mad\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0001.flac", "task_type": "lexical_detection", "query": "promised", "prompt": "Once the audio has finished, identify every instance of the word \"promised\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0015.flac", "task_type": "lexical_detection", "query": "permit", "prompt": "After the audio ends, extract all occurrences of the word \"permit\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0051.flac", "task_type": "lexical_detection", "query": "salt", "prompt": "Once the audio has finished, identify every instance of the word \"salt\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0095", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0095.flac", "task_type": "lexical_detection", "query": "montmorency", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"montmorency\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0027.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0082", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0082.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0038.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0004.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0019.flac", "task_type": "lexical_detection", "query": "harm", "prompt": "Once the audio has finished, identify every instance of the word \"harm\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0020.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0012.flac", "task_type": "lexical_detection", "query": "obtained", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"obtained\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0031.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0024.flac", "task_type": "lexical_detection", "query": "picked", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"picked\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0054.flac", "task_type": "lexical_detection", "query": "popular", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"popular\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0013.flac", "task_type": "lexical_counting", "query": "overtake", "prompt": "When the utterance is complete, report how the word \"overtake\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0046.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0006.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0016.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, list every instance of a profession you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0001.flac", "task_type": "lexical_detection", "query": "ranza", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"ranza\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0059", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0059.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0017.flac", "task_type": "lexical_detection", "query": "pleasant", "prompt": "Process the full audio offline. Find every instance of the word \"pleasant\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0044.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0017.flac", "task_type": "lexical_detection", "query": "mountains", "prompt": "Once the audio has finished, identify every instance of the word \"mountains\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0010.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After listening to the whole recording, output every instance of a body part with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0032.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "When the utterance is complete, report how a plant name accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0018.flac", "task_type": "lexical_detection", "query": "japanese", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"japanese\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0040.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0099", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0099.flac", "task_type": "lexical_detection", "query": "incandescent", "prompt": "Process the full audio offline. Find every instance of the word \"incandescent\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0079", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0079.flac", "task_type": "lexical_detection", "query": "provided", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"provided\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0009.flac", "task_type": "lexical_detection", "query": "nets", "prompt": "After the audio ends, extract all occurrences of the word \"nets\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0019.flac", "task_type": "lexical_detection", "query": "pickering", "prompt": "Process the full audio offline. Find every instance of the word \"pickering\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0013.flac", "task_type": "lexical_detection", "query": "saints", "prompt": "Process the full audio offline. Find every instance of the word \"saints\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0005.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0003.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0001.flac", "task_type": "lexical_detection", "query": "pleased", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"pleased\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0009.flac", "task_type": "semantic_counting", "query": "date", "prompt": "When the utterance is complete, report how a date accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0019.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the full audio. After it finishes, find every instance of a profession. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0016.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0019.flac", "task_type": "lexical_detection", "query": "disposed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"disposed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0030.flac", "task_type": "semantic_counting", "query": "city", "prompt": "When the utterance is complete, report how a city name accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0027.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0033.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0050.flac", "task_type": "lexical_detection", "query": "medea", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"medea\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0023.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0015.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0003.flac", "task_type": "lexical_counting", "query": "novels", "prompt": "Listen to the entire clip, then report the count sequence for the word \"novels\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0005.flac", "task_type": "semantic_counting", "query": "person_name", "prompt": "Listen to the full audio. Count every occurrence of a person's name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0018.flac", "task_type": "lexical_detection", "query": "considerable", "prompt": "After the audio ends, extract all occurrences of the word \"considerable\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0010.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0015.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0006.flac", "task_type": "lexical_detection", "query": "tavern", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"tavern\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0039.flac", "task_type": "semantic_detection", "query": "food", "prompt": "You will hear a complete utterance. When it ends, list every instance of a food name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0008.flac", "task_type": "lexical_detection", "query": "relatives", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"relatives\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0007.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a body part with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0001.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After the audio ends, extract all occurrences of a person's name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0007.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Do not answer until the audio ends. Then list each instance of an animal name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0000.flac", "task_type": "lexical_detection", "query": "pony", "prompt": "Process the full audio offline. Find every instance of the word \"pony\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0043.flac", "task_type": "lexical_detection", "query": "slain", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"slain\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0030.flac", "task_type": "lexical_detection", "query": "necessary", "prompt": "After the audio ends, extract all occurrences of the word \"necessary\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0058.flac", "task_type": "lexical_detection", "query": "sloanes", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"sloanes\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0035.flac", "task_type": "lexical_detection", "query": "mortal", "prompt": "After listening to the whole recording, output every instance of the word \"mortal\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0038.flac", "task_type": "lexical_detection", "query": "robbed", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"robbed\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0009.flac", "task_type": "lexical_detection", "query": "pity", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"pity\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0005.flac", "task_type": "lexical_counting", "query": "stop", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"stop\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0007.flac", "task_type": "lexical_detection", "query": "questions", "prompt": "After the audio ends, extract all occurrences of the word \"questions\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0020.flac", "task_type": "lexical_detection", "query": "poems", "prompt": "When the utterance is complete, report all instances of the word \"poems\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0040.flac", "task_type": "lexical_detection", "query": "turning", "prompt": "After listening to the whole recording, output every instance of the word \"turning\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0016.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0036.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0000.flac", "task_type": "lexical_detection", "query": "reproach", "prompt": "After the audio ends, extract all occurrences of the word \"reproach\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0038.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a family relation with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0022.flac", "task_type": "lexical_detection", "query": "patted", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"patted\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0010.flac", "task_type": "lexical_detection", "query": "jealous", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"jealous\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0042.flac", "task_type": "lexical_detection", "query": "saving", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"saving\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0010.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Do not answer until the audio ends. Then list each instance of a person's name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0005.flac", "task_type": "lexical_detection", "query": "vulgar", "prompt": "Process the full audio offline. Find every instance of the word \"vulgar\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0026.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Once the audio has finished, identify every instance of a person's name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0060", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0060.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0024.flac", "task_type": "lexical_detection", "query": "romantic", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"romantic\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0036.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0032.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After the audio ends, extract all occurrences of a profession. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0036.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "When the utterance is complete, report all instances of a weather term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0003.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an animal name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0007.flac", "task_type": "lexical_detection", "query": "quarrel", "prompt": "Process the full audio offline. Find every instance of the word \"quarrel\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0011.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0005.flac", "task_type": "lexical_counting", "query": "rays", "prompt": "When the utterance is complete, report how the word \"rays\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0010.flac", "task_type": "lexical_detection", "query": "intense", "prompt": "After listening to the whole recording, output every instance of the word \"intense\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0000.flac", "task_type": "lexical_counting", "query": "suffered", "prompt": "Once the audio has finished, list each occurrence of the word \"suffered\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0004.flac", "task_type": "lexical_counting", "query": "pursue", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"pursue\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0042.flac", "task_type": "lexical_detection", "query": "rival", "prompt": "Once the audio has finished, identify every instance of the word \"rival\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0006.flac", "task_type": "lexical_detection", "query": "matters", "prompt": "Once the audio has finished, identify every instance of the word \"matters\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0043.flac", "task_type": "lexical_detection", "query": "redskins", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"redskins\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0009.flac", "task_type": "lexical_detection", "query": "rate", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"rate\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0073", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0073.flac", "task_type": "lexical_detection", "query": "idiot", "prompt": "Process the full audio offline. Find every instance of the word \"idiot\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0018.flac", "task_type": "lexical_detection", "query": "continually", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"continually\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0038.flac", "task_type": "lexical_counting", "query": "sugriva", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"sugriva\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0011.flac", "task_type": "lexical_detection", "query": "shouted", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"shouted\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0000.flac", "task_type": "lexical_detection", "query": "remain", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"remain\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0004.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0008.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0016.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0030.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen carefully to the entire clip, then report every instance of an animal name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0040.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0001.flac", "task_type": "lexical_detection", "query": "reality", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"reality\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0037.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0008.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a body part with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0006.flac", "task_type": "lexical_detection", "query": "mankind", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"mankind\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0030.flac", "task_type": "lexical_detection", "query": "regularly", "prompt": "After the audio ends, extract all occurrences of the word \"regularly\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0012.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0010.flac", "task_type": "lexical_detection", "query": "size", "prompt": "When the utterance is complete, report all instances of the word \"size\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0006.flac", "task_type": "lexical_detection", "query": "plenty", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"plenty\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0009.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0001.flac", "task_type": "lexical_detection", "query": "passengers", "prompt": "When the utterance is complete, report all instances of the word \"passengers\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0035.flac", "task_type": "lexical_detection", "query": "scene", "prompt": "When the utterance is complete, report all instances of the word \"scene\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0000.flac", "task_type": "lexical_detection", "query": "serving", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"serving\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0008.flac", "task_type": "lexical_detection", "query": "witnessed", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"witnessed\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0003.flac", "task_type": "lexical_counting", "query": "season", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"season\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0019.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Do not answer until the audio ends. Then list each instance of a person's name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0010.flac", "task_type": "lexical_detection", "query": "starve", "prompt": "After the audio ends, extract all occurrences of the word \"starve\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0009.flac", "task_type": "lexical_detection", "query": "services", "prompt": "After the audio ends, extract all occurrences of the word \"services\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0008.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0023.flac", "task_type": "lexical_detection", "query": "source", "prompt": "Once the audio has finished, identify every instance of the word \"source\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0016.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Do not answer until the audio ends. Then list each instance of a profession as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0037.flac", "task_type": "lexical_detection", "query": "porter", "prompt": "After the audio ends, extract all occurrences of the word \"porter\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0006.flac", "task_type": "lexical_detection", "query": "sorry", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"sorry\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0013.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0005.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0023.flac", "task_type": "lexical_detection", "query": "sixteen", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"sixteen\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0009.flac", "task_type": "lexical_detection", "query": "saloon", "prompt": "Once the audio has finished, identify every instance of the word \"saloon\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0033.flac", "task_type": "lexical_detection", "query": "violin", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"violin\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0023.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0028.flac", "task_type": "lexical_detection", "query": "nine", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"nine\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0014.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0004.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the full audio. After it finishes, find every instance of an animal name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0064.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Once the audio has finished, identify every instance of a food name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0013.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Process the full audio offline. Find every instance of a country name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0011.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After listening to the whole recording, output every instance of a person's name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0004.flac", "task_type": "lexical_detection", "query": "proposition", "prompt": "When the utterance is complete, report all instances of the word \"proposition\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0053.flac", "task_type": "lexical_detection", "query": "quivering", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"quivering\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0009.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0040.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0028.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0006.flac", "task_type": "lexical_detection", "query": "tear", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"tear\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0009.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0006.flac", "task_type": "lexical_detection", "query": "seek", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"seek\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0005.flac", "task_type": "semantic_detection", "query": "country", "prompt": "When the utterance is complete, report all instances of a country name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0024.flac", "task_type": "lexical_detection", "query": "sharp", "prompt": "Process the full audio offline. Find every instance of the word \"sharp\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0010.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0015.flac", "task_type": "lexical_detection", "query": "period", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"period\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0000.flac", "task_type": "lexical_detection", "query": "uncertain", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"uncertain\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0054.flac", "task_type": "lexical_detection", "query": "affairs", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"affairs\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0012.flac", "task_type": "lexical_detection", "query": "theobald", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"theobald\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0044.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0011.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the full audio. After it finishes, find every instance of a family relation. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0036.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0011.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0019.flac", "task_type": "lexical_detection", "query": "roof", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"roof\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0015.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0037.flac", "task_type": "lexical_detection", "query": "sudden", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"sudden\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0062", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0062.flac", "task_type": "lexical_detection", "query": "pocket", "prompt": "Process the full audio offline. Find every instance of the word \"pocket\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0001.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0022.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0003.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0015.flac", "task_type": "lexical_detection", "query": "opening", "prompt": "Process the full audio offline. Find every instance of the word \"opening\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0003.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0017.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0005.flac", "task_type": "lexical_counting", "query": "squatted", "prompt": "Once the audio has finished, list each occurrence of the word \"squatted\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0017.flac", "task_type": "lexical_detection", "query": "hopeless", "prompt": "Process the full audio offline. Find every instance of the word \"hopeless\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0003.flac", "task_type": "lexical_counting", "query": "senator", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"senator\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0025.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a profession with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0000.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After the audio ends, extract all occurrences of a body part. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0001.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0016.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0055.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0014.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0009.flac", "task_type": "lexical_detection", "query": "struggle", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"struggle\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0005.flac", "task_type": "lexical_counting", "query": "resolve", "prompt": "Process the full audio offline. For every occurrence of the word \"resolve\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0012.flac", "task_type": "lexical_detection", "query": "needs", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"needs\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0079", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0079.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Do not answer until the audio ends. Then list each instance of a plant name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0018.flac", "task_type": "lexical_detection", "query": "tall", "prompt": "After listening to the whole recording, output every instance of the word \"tall\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0013.flac", "task_type": "lexical_detection", "query": "passionate", "prompt": "Once the audio has finished, identify every instance of the word \"passionate\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0003.flac", "task_type": "lexical_detection", "query": "rise", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"rise\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0008.flac", "task_type": "lexical_detection", "query": "shadow", "prompt": "Process the full audio offline. Find every instance of the word \"shadow\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0003.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After the audio ends, extract all occurrences of a family relation. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0017.flac", "task_type": "lexical_detection", "query": "risk", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"risk\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0022.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0007.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0003.flac", "task_type": "semantic_counting", "query": "person_name", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a person's name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0008.flac", "task_type": "lexical_detection", "query": "station", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"station\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0096", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0096.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0035.flac", "task_type": "lexical_detection", "query": "ring", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"ring\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0002.flac", "task_type": "lexical_detection", "query": "mistaken", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"mistaken\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0033.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, list every instance of a weather term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0041.flac", "task_type": "lexical_detection", "query": "remembered", "prompt": "Once the audio has finished, identify every instance of the word \"remembered\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0050.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Process the full audio offline. Find every instance of a time of day and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0012.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0013.flac", "task_type": "lexical_detection", "query": "active", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"active\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0022.flac", "task_type": "lexical_detection", "query": "sex", "prompt": "After the audio ends, extract all occurrences of the word \"sex\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0011.flac", "task_type": "lexical_detection", "query": "stacy", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"stacy\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0016.flac", "task_type": "lexical_detection", "query": "arc", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"arc\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0012.flac", "task_type": "lexical_counting", "query": "ponies", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"ponies\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0012.flac", "task_type": "lexical_detection", "query": "strangers", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"strangers\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0036.flac", "task_type": "lexical_detection", "query": "noted", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"noted\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0052.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0025.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0045.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a weather term: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0015.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0031.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0004.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After listening to the whole recording, output every instance of a family relation with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0006.flac", "task_type": "lexical_detection", "query": "stage", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"stage\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0019.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Process the full audio offline. Find every instance of a time of day and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0009.flac", "task_type": "lexical_detection", "query": "rover", "prompt": "When the utterance is complete, report all instances of the word \"rover\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0005.flac", "task_type": "lexical_detection", "query": "admit", "prompt": "After the audio ends, extract all occurrences of the word \"admit\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0028.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0002.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Once the audio has finished, identify every instance of a weather term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0036.flac", "task_type": "lexical_detection", "query": "radiant", "prompt": "Once the audio has finished, identify every instance of the word \"radiant\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0040.flac", "task_type": "lexical_counting", "query": "treat", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"treat\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0040.flac", "task_type": "lexical_detection", "query": "sang", "prompt": "When the utterance is complete, report all instances of the word \"sang\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0007.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0012.flac", "task_type": "lexical_detection", "query": "sin", "prompt": "When the utterance is complete, report all instances of the word \"sin\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0007.flac", "task_type": "lexical_detection", "query": "virtue", "prompt": "Once the audio has finished, identify every instance of the word \"virtue\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0011.flac", "task_type": "lexical_counting", "query": "principal", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"principal\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0025.flac", "task_type": "semantic_detection", "query": "color", "prompt": "When the utterance is complete, report all instances of a color name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0008.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0026.flac", "task_type": "lexical_counting", "query": "thinks", "prompt": "Process the full audio offline. For every occurrence of the word \"thinks\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0017.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0014.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0017.flac", "task_type": "lexical_detection", "query": "spanish", "prompt": "Once the audio has finished, identify every instance of the word \"spanish\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0002.flac", "task_type": "lexical_detection", "query": "weak", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"weak\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0005.flac", "task_type": "lexical_detection", "query": "fish", "prompt": "Once the audio has finished, identify every instance of the word \"fish\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0022.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "Once the audio has finished, list each occurrence of a disease name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0011.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0009.flac", "task_type": "lexical_detection", "query": "soft", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"soft\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0005.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the full audio. After it finishes, find every instance of a money or currency term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0091", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0091.flac", "task_type": "lexical_detection", "query": "shoulders", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"shoulders\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0016.flac", "task_type": "lexical_detection", "query": "walls", "prompt": "When the utterance is complete, report all instances of the word \"walls\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0028.flac", "task_type": "lexical_detection", "query": "starry", "prompt": "Process the full audio offline. Find every instance of the word \"starry\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0009.flac", "task_type": "lexical_detection", "query": "sons", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"sons\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0024.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0024.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0006.flac", "task_type": "lexical_counting", "query": "tread", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"tread\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0015.flac", "task_type": "lexical_detection", "query": "shot", "prompt": "When the utterance is complete, report all instances of the word \"shot\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0000.flac", "task_type": "lexical_detection", "query": "rain", "prompt": "Process the full audio offline. Find every instance of the word \"rain\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0015.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0013.flac", "task_type": "lexical_detection", "query": "sweet", "prompt": "After the audio ends, extract all occurrences of the word \"sweet\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0002.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Do not answer until the audio ends. Then list each instance of a person's name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0023.flac", "task_type": "lexical_detection", "query": "yards", "prompt": "When the utterance is complete, report all instances of the word \"yards\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0024.flac", "task_type": "lexical_detection", "query": "queer", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"queer\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0016.flac", "task_type": "lexical_detection", "query": "travellers", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"travellers\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0041.flac", "task_type": "semantic_counting", "query": "money", "prompt": "After listening to the whole recording, output timed count words for a money or currency term (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0003.flac", "task_type": "lexical_detection", "query": "won", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"won\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0021.flac", "task_type": "lexical_detection", "query": "useful", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"useful\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0022.flac", "task_type": "lexical_detection", "query": "proof", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"proof\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0000.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0016.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0031.flac", "task_type": "lexical_detection", "query": "slow", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"slow\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0030.flac", "task_type": "lexical_detection", "query": "club", "prompt": "When the utterance is complete, report all instances of the word \"club\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0006.flac", "task_type": "lexical_detection", "query": "dare", "prompt": "After the audio ends, extract all occurrences of the word \"dare\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0001.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Once the audio has finished, identify every instance of a state or province name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0033.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0001.flac", "task_type": "lexical_detection", "query": "somebody", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"somebody\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0028.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Once the audio has finished, identify every instance of a money or currency term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0022.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0007.flac", "task_type": "lexical_detection", "query": "stern", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"stern\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0006.flac", "task_type": "lexical_detection", "query": "treasures", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"treasures\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0031.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the full audio. After it finishes, find every instance of a date. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0001.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0007.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Process the full audio offline. Find every instance of a money or currency term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0066", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0066.flac", "task_type": "lexical_detection", "query": "union", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"union\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0010.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0043.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a plant name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0001.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0010.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Once the audio has finished, identify every instance of a country name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0029.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0001.flac", "task_type": "lexical_detection", "query": "we'll", "prompt": "Process the full audio offline. Find every instance of the word \"we'll\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0000.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0016.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After listening to the whole recording, output every instance of a date with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0027.flac", "task_type": "lexical_counting", "query": "we're", "prompt": "Process the full audio offline. For every occurrence of the word \"we're\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0016.flac", "task_type": "semantic_counting", "query": "color", "prompt": "After the audio ends, tally every instance of a color name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0015.flac", "task_type": "lexical_detection", "query": "tons", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"tons\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0012.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0007.flac", "task_type": "lexical_detection", "query": "worth", "prompt": "After listening to the whole recording, output every instance of the word \"worth\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0000.flac", "task_type": "lexical_detection", "query": "avenue", "prompt": "When the utterance is complete, report all instances of the word \"avenue\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0020.flac", "task_type": "lexical_detection", "query": "sleeping", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"sleeping\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0012.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0008.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0001.flac", "task_type": "lexical_detection", "query": "train", "prompt": "Once the audio has finished, identify every instance of the word \"train\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0028.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0003.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0018.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen carefully to the entire clip, then report every instance of a profession as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0002.flac", "task_type": "semantic_detection", "query": "city", "prompt": "When the utterance is complete, report all instances of a city name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0033.flac", "task_type": "lexical_counting", "query": "satisfy", "prompt": "Process the full audio offline. For every occurrence of the word \"satisfy\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0017.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0002.flac", "task_type": "lexical_detection", "query": "weeping", "prompt": "When the utterance is complete, report all instances of the word \"weeping\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0081", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0081.flac", "task_type": "lexical_detection", "query": "accident", "prompt": "Process the full audio offline. Find every instance of the word \"accident\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0005.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0048.flac", "task_type": "lexical_detection", "query": "tomorrow", "prompt": "After the audio ends, extract all occurrences of the word \"tomorrow\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0014.flac", "task_type": "lexical_counting", "query": "companies", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"companies\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0002.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0002.flac", "task_type": "semantic_detection", "query": "city", "prompt": "When the utterance is complete, report all instances of a city name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0012.flac", "task_type": "lexical_detection", "query": "responded", "prompt": "After listening to the whole recording, output every instance of the word \"responded\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0030.flac", "task_type": "lexical_detection", "query": "yesterday", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"yesterday\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0069", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0069.flac", "task_type": "lexical_detection", "query": "thank", "prompt": "After the audio ends, extract all occurrences of the word \"thank\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0014.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0008.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0004.flac", "task_type": "lexical_detection", "query": "shame", "prompt": "When the utterance is complete, report all instances of the word \"shame\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0021.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0002.flac", "task_type": "lexical_detection", "query": "today", "prompt": "Process the full audio offline. Find every instance of the word \"today\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0027.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0017.flac", "task_type": "lexical_counting", "query": "teacher", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"teacher\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0000.flac", "task_type": "lexical_detection", "query": "socks", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"socks\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0014.flac", "task_type": "lexical_detection", "query": "glanced", "prompt": "When the utterance is complete, report all instances of the word \"glanced\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0003.flac", "task_type": "lexical_detection", "query": "charming", "prompt": "Process the full audio offline. Find every instance of the word \"charming\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0003.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen carefully to the entire clip, then report every instance of an animal name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0005.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0011.flac", "task_type": "lexical_detection", "query": "bitter", "prompt": "After the audio ends, extract all occurrences of the word \"bitter\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0019.flac", "task_type": "lexical_detection", "query": "thanks", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"thanks\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0015.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "After listening to the whole recording, output timed count words for an ordinal number (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0002.flac", "task_type": "lexical_detection", "query": "ten", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"ten\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0021.flac", "task_type": "lexical_detection", "query": "begged", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"begged\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0011.flac", "task_type": "lexical_detection", "query": "experience", "prompt": "Once the audio has finished, identify every instance of the word \"experience\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0022.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0009.flac", "task_type": "semantic_counting", "query": "date", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a date: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0008.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After listening to the whole recording, output every instance of a city name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0042.flac", "task_type": "semantic_counting", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a color name (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0030.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0002.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a plant name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0022.flac", "task_type": "lexical_detection", "query": "socrates", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"socrates\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0014.flac", "task_type": "lexical_detection", "query": "prey", "prompt": "Process the full audio offline. Find every instance of the word \"prey\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0007.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0028.flac", "task_type": "lexical_detection", "query": "tongue", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"tongue\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0036.flac", "task_type": "lexical_detection", "query": "rope", "prompt": "Process the full audio offline. Find every instance of the word \"rope\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0014.flac", "task_type": "lexical_counting", "query": "wretched", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"wretched\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0024.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0021.flac", "task_type": "lexical_detection", "query": "eugenius", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"eugenius\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0004.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0005.flac", "task_type": "lexical_counting", "query": "yore", "prompt": "After listening to the whole recording, output timed count words for the word \"yore\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0001.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0002.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0002.flac", "task_type": "lexical_detection", "query": "firm", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"firm\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0028.flac", "task_type": "lexical_detection", "query": "strongly", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"strongly\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0003.flac", "task_type": "lexical_detection", "query": "broke", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"broke\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0008.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0016.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0042.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Process the full audio offline. Find every instance of a time of day and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0011.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0035.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Process the full audio offline. For every occurrence of a plant name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0011.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Process the full audio offline. Find every instance of a person's name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0006.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the full audio. After it finishes, find every instance of a country name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0048.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0022.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Do not answer until the audio ends. Then list each instance of an animal name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0005.flac", "task_type": "lexical_detection", "query": "stuff", "prompt": "When the utterance is complete, report all instances of the word \"stuff\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0017.flac", "task_type": "lexical_detection", "query": "steel", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"steel\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0013.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Once the audio has finished, identify every instance of a country name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0007.flac", "task_type": "lexical_detection", "query": "stranger", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"stranger\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0051.flac", "task_type": "lexical_detection", "query": "sorts", "prompt": "After listening to the whole recording, output every instance of the word \"sorts\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0008.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After the audio ends, extract all occurrences of a family relation. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0000.flac", "task_type": "lexical_detection", "query": "parents", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"parents\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0006.flac", "task_type": "semantic_counting", "query": "color", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a color name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0001.flac", "task_type": "lexical_detection", "query": "accounts", "prompt": "After the audio ends, extract all occurrences of the word \"accounts\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0004.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0057", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0057.flac", "task_type": "lexical_detection", "query": "swift", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"swift\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0024.flac", "task_type": "lexical_detection", "query": "unfortunate", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"unfortunate\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0037.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0041.flac", "task_type": "lexical_detection", "query": "worst", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"worst\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0014.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0005.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Once the audio has finished, identify every instance of a food name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0026.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Listen to the full audio. Count every occurrence of a family relation. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0059", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0059.flac", "task_type": "lexical_detection", "query": "worthy", "prompt": "Process the full audio offline. Find every instance of the word \"worthy\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0005.flac", "task_type": "lexical_detection", "query": "realized", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"realized\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0010.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the full audio. After it finishes, find every instance of a date. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0002.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0063.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0003.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0022.flac", "task_type": "lexical_detection", "query": "restaurant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"restaurant\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0025.flac", "task_type": "lexical_detection", "query": "temple", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"temple\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0018.flac", "task_type": "lexical_detection", "query": "lucky", "prompt": "After the audio ends, extract all occurrences of the word \"lucky\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0019.flac", "task_type": "lexical_detection", "query": "deceive", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"deceive\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0009.flac", "task_type": "semantic_counting", "query": "body_part", "prompt": "After listening to the whole recording, output timed count words for a body part (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0012.flac", "task_type": "lexical_detection", "query": "arms", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"arms\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0002.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "When the utterance is complete, report how a weather term accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0050.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an animal name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0004.flac", "task_type": "lexical_detection", "query": "hadn't", "prompt": "Once the audio has finished, identify every instance of the word \"hadn't\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0012.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0030.flac", "task_type": "lexical_detection", "query": "sooner", "prompt": "When the utterance is complete, report all instances of the word \"sooner\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0031.flac", "task_type": "lexical_detection", "query": "evident", "prompt": "Once the audio has finished, identify every instance of the word \"evident\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0041.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0026.flac", "task_type": "lexical_detection", "query": "uttermost", "prompt": "After the audio ends, extract all occurrences of the word \"uttermost\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0009.flac", "task_type": "lexical_detection", "query": "shrink", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"shrink\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0019.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Process the full audio offline. Find every instance of an organization name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0017.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Do not answer until the audio ends. Then list each instance of an animal name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0052.flac", "task_type": "lexical_counting", "query": "fail", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"fail\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0007.flac", "task_type": "semantic_counting", "query": "date", "prompt": "After the audio ends, tally every instance of a date. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0006.flac", "task_type": "lexical_detection", "query": "clear", "prompt": "Once the audio has finished, identify every instance of the word \"clear\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0006.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0019.flac", "task_type": "lexical_detection", "query": "commander", "prompt": "After the audio ends, extract all occurrences of the word \"commander\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0020.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "When the utterance is complete, report all instances of a body part including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0001.flac", "task_type": "lexical_detection", "query": "darkness", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"darkness\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0011.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0027.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the full audio. After it finishes, find every instance of a date. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0014.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0006.flac", "task_type": "lexical_detection", "query": "building", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"building\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0027.flac", "task_type": "lexical_detection", "query": "glance", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"glance\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0014.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0033.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0009.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0033.flac", "task_type": "lexical_detection", "query": "announced", "prompt": "When the utterance is complete, report all instances of the word \"announced\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0002.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen carefully to the entire clip, then report every instance of a city name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0063.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Process the full audio offline. Find every instance of a time of day and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0007.flac", "task_type": "lexical_detection", "query": "understanding", "prompt": "After the audio ends, extract all occurrences of the word \"understanding\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0100", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0100.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "When the utterance is complete, report how a plant name accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0001.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0024.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After listening to the whole recording, output every instance of a family relation with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0030.flac", "task_type": "lexical_detection", "query": "comfort", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"comfort\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0025.flac", "task_type": "lexical_detection", "query": "events", "prompt": "When the utterance is complete, report all instances of the word \"events\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0005.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0024.flac", "task_type": "lexical_detection", "query": "watched", "prompt": "Process the full audio offline. Find every instance of the word \"watched\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0013.flac", "task_type": "lexical_detection", "query": "wore", "prompt": "When the utterance is complete, report all instances of the word \"wore\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0019.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After the audio ends, extract all occurrences of an organization name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0073", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0073.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a disease name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0006.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0012.flac", "task_type": "semantic_counting", "query": "city", "prompt": "After the audio ends, tally every instance of a city name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0008.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0003.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the full audio. After it finishes, find every instance of an animal name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0005.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0012.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After listening to the whole recording, output every instance of a date with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0004.flac", "task_type": "lexical_detection", "query": "charge", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"charge\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0043.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0020.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0063.flac", "task_type": "lexical_detection", "query": "modern", "prompt": "When the utterance is complete, report all instances of the word \"modern\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0019.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After listening to the whole recording, output every instance of a family relation with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0004.flac", "task_type": "lexical_detection", "query": "sins", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"sins\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0011.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Process the full audio offline. Find every instance of a time of day and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0008.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0007.flac", "task_type": "lexical_detection", "query": "wishing", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"wishing\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0048.flac", "task_type": "lexical_detection", "query": "ice", "prompt": "When the utterance is complete, report all instances of the word \"ice\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0002.flac", "task_type": "lexical_detection", "query": "conduct", "prompt": "When the utterance is complete, report all instances of the word \"conduct\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0057", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0057.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0004.flac", "task_type": "lexical_detection", "query": "happens", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"happens\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0008.flac", "task_type": "lexical_detection", "query": "blood", "prompt": "When the utterance is complete, report all instances of the word \"blood\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0012.flac", "task_type": "lexical_detection", "query": "we've", "prompt": "Once the audio has finished, identify every instance of the word \"we've\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0005.flac", "task_type": "lexical_counting", "query": "works", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"works\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0014.flac", "task_type": "lexical_detection", "query": "calmly", "prompt": "After listening to the whole recording, output every instance of the word \"calmly\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0049.flac", "task_type": "lexical_detection", "query": "example", "prompt": "When the utterance is complete, report all instances of the word \"example\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0011.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0005.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0004.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0005.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0007.flac", "task_type": "lexical_detection", "query": "talked", "prompt": "After listening to the whole recording, output every instance of the word \"talked\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0014.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a family relation with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0006.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for an ordinal number with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0011.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After listening to the whole recording, output every instance of a family relation with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0019.flac", "task_type": "lexical_detection", "query": "curiosity", "prompt": "When the utterance is complete, report all instances of the word \"curiosity\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0042.flac", "task_type": "lexical_detection", "query": "courage", "prompt": "Once the audio has finished, identify every instance of the word \"courage\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0033.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0006.flac", "task_type": "lexical_detection", "query": "wandering", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"wandering\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0003.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "You will hear a complete utterance. When it ends, list every instance of a person's name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0042.flac", "task_type": "lexical_detection", "query": "sadness", "prompt": "After listening to the whole recording, output every instance of the word \"sadness\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0010.flac", "task_type": "lexical_counting", "query": "worship", "prompt": "Once the audio has finished, list each occurrence of the word \"worship\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0000.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Process the full audio offline. Find every instance of a country name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0011.flac", "task_type": "lexical_detection", "query": "centre", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"centre\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0016.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0001.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0009.flac", "task_type": "lexical_detection", "query": "dangerous", "prompt": "Process the full audio offline. Find every instance of the word \"dangerous\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0003.flac", "task_type": "lexical_detection", "query": "eagerly", "prompt": "When the utterance is complete, report all instances of the word \"eagerly\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0012.flac", "task_type": "lexical_detection", "query": "determined", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"determined\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0034.flac", "task_type": "lexical_detection", "query": "consent", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"consent\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0028.flac", "task_type": "lexical_detection", "query": "taking", "prompt": "After listening to the whole recording, output every instance of the word \"taking\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0014.flac", "task_type": "lexical_counting", "query": "torture", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"torture\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0008.flac", "task_type": "lexical_counting", "query": "appearance", "prompt": "Once the audio has finished, list each occurrence of the word \"appearance\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0001.flac", "task_type": "lexical_detection", "query": "duty", "prompt": "When the utterance is complete, report all instances of the word \"duty\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0009.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0015.flac", "task_type": "lexical_detection", "query": "various", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"various\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0053.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0030.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0024.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0031.flac", "task_type": "lexical_detection", "query": "wound", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"wound\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0000.flac", "task_type": "lexical_detection", "query": "deeds", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"deeds\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0001.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "You will hear a complete utterance. When it ends, list every instance of a body part you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0022.flac", "task_type": "lexical_detection", "query": "spent", "prompt": "Once the audio has finished, identify every instance of the word \"spent\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0009.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0007.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0015.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0042.flac", "task_type": "lexical_detection", "query": "elmhurst", "prompt": "Process the full audio offline. Find every instance of the word \"elmhurst\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0014.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0011.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0010.flac", "task_type": "lexical_detection", "query": "box", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"box\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0031.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "When the utterance is complete, report all instances of a profession including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0031.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a profession with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0026.flac", "task_type": "lexical_detection", "query": "west", "prompt": "Process the full audio offline. Find every instance of the word \"west\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0005.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0010.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0013.flac", "task_type": "lexical_detection", "query": "suspicions", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"suspicions\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0006.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0004.flac", "task_type": "lexical_detection", "query": "delight", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"delight\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0002.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0013.flac", "task_type": "lexical_detection", "query": "shirley", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"shirley\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0044.flac", "task_type": "lexical_detection", "query": "dry", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"dry\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0030.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0002.flac", "task_type": "lexical_counting", "query": "evidence", "prompt": "Listen to the full audio. Count every occurrence of the word \"evidence\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0020.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, list every instance of a weather term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0046.flac", "task_type": "lexical_detection", "query": "begin", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"begin\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0004.flac", "task_type": "semantic_counting", "query": "date", "prompt": "Listen to the entire clip, then report the count sequence for a date as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0022.flac", "task_type": "lexical_detection", "query": "trod", "prompt": "Once the audio has finished, identify every instance of the word \"trod\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0000.flac", "task_type": "lexical_detection", "query": "stirred", "prompt": "When the utterance is complete, report all instances of the word \"stirred\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0005.flac", "task_type": "lexical_detection", "query": "forgot", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"forgot\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0016.flac", "task_type": "lexical_detection", "query": "accomplished", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"accomplished\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0031.flac", "task_type": "lexical_detection", "query": "minister", "prompt": "Process the full audio offline. Find every instance of the word \"minister\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0016.flac", "task_type": "semantic_counting", "query": "color", "prompt": "After the audio ends, tally every instance of a color name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0026.flac", "task_type": "lexical_detection", "query": "leaving", "prompt": "After listening to the whole recording, output every instance of the word \"leaving\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0031.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0036.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0026.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0051.flac", "task_type": "lexical_detection", "query": "generally", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"generally\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0009.flac", "task_type": "lexical_detection", "query": "bye", "prompt": "Once the audio has finished, identify every instance of the word \"bye\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0027.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0003.flac", "task_type": "semantic_detection", "query": "country", "prompt": "When the utterance is complete, report all instances of a country name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0018.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, list every instance of a profession you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0022.flac", "task_type": "semantic_detection", "query": "color", "prompt": "When the utterance is complete, report all instances of a color name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0031.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a family relation with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0013.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0006.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the full audio. After it finishes, find every instance of a body part. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0036.flac", "task_type": "lexical_detection", "query": "details", "prompt": "After the audio ends, extract all occurrences of the word \"details\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0018.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0002.flac", "task_type": "lexical_detection", "query": "footsteps", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"footsteps\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0005.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0032.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0024.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen carefully to the entire clip, then report every instance of a body part as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0017.flac", "task_type": "lexical_detection", "query": "intention", "prompt": "When the utterance is complete, report all instances of the word \"intention\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0009.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0028.flac", "task_type": "lexical_counting", "query": "d'artagnan", "prompt": "After listening to the whole recording, output timed count words for the word \"d'artagnan\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0002.flac", "task_type": "lexical_detection", "query": "moscow", "prompt": "Once the audio has finished, identify every instance of the word \"moscow\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0050.flac", "task_type": "lexical_detection", "query": "snob", "prompt": "Once the audio has finished, identify every instance of the word \"snob\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0039.flac", "task_type": "lexical_detection", "query": "vengeance", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"vengeance\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0019.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Once the audio has finished, identify every instance of a person's name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0021.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0002.flac", "task_type": "lexical_detection", "query": "distress", "prompt": "After listening to the whole recording, output every instance of the word \"distress\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0001.flac", "task_type": "lexical_detection", "query": "regards", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"regards\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0021.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0067", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0067.flac", "task_type": "lexical_detection", "query": "ended", "prompt": "After the audio ends, extract all occurrences of the word \"ended\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0009.flac", "task_type": "lexical_detection", "query": "exist", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"exist\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0022.flac", "task_type": "lexical_detection", "query": "lamp", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"lamp\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0008.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0007.flac", "task_type": "lexical_counting", "query": "corner", "prompt": "Listen to the full audio. Count every occurrence of the word \"corner\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0048.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0001.flac", "task_type": "lexical_detection", "query": "asking", "prompt": "After the audio ends, extract all occurrences of the word \"asking\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0028.flac", "task_type": "lexical_detection", "query": "command", "prompt": "Process the full audio offline. Find every instance of the word \"command\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0004.flac", "task_type": "lexical_detection", "query": "gives", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"gives\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0005.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0070", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0070.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0017.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0056.flac", "task_type": "lexical_detection", "query": "recent", "prompt": "After listening to the whole recording, output every instance of the word \"recent\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0071", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0071.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0013.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0056.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After listening to the whole recording, output every instance of a money or currency term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0001.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0006.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0081", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0081.flac", "task_type": "lexical_detection", "query": "branding", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"branding\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0030.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0005.flac", "task_type": "lexical_detection", "query": "renewed", "prompt": "Once the audio has finished, identify every instance of the word \"renewed\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0035.flac", "task_type": "lexical_detection", "query": "apparently", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"apparently\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0047.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0014.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0012.flac", "task_type": "lexical_detection", "query": "knight", "prompt": "After listening to the whole recording, output every instance of the word \"knight\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0092", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0092.flac", "task_type": "lexical_counting", "query": "closer", "prompt": "After listening to the whole recording, output timed count words for the word \"closer\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0005.flac", "task_type": "lexical_detection", "query": "joke", "prompt": "Process the full audio offline. Find every instance of the word \"joke\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0002.flac", "task_type": "semantic_detection", "query": "food", "prompt": "You will hear a complete utterance. When it ends, list every instance of a food name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0060", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0060.flac", "task_type": "lexical_detection", "query": "nay", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"nay\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0002.flac", "task_type": "lexical_detection", "query": "hastened", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"hastened\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0006.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "Listen to the entire clip, then report the count sequence for a disease name as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0012.flac", "task_type": "lexical_detection", "query": "desired", "prompt": "After the audio ends, extract all occurrences of the word \"desired\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0058.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0014.flac", "task_type": "lexical_detection", "query": "dread", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"dread\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0005.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Do not answer until the audio ends. Then list each instance of an animal name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0020.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0000.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0044.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0012.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0017.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After listening to the whole recording, output every instance of a body part with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0011.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a weather term: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0013.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0020.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0017.flac", "task_type": "lexical_detection", "query": "expressed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"expressed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0007.flac", "task_type": "lexical_detection", "query": "inquired", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"inquired\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0017.flac", "task_type": "lexical_detection", "query": "partly", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"partly\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0094", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0094.flac", "task_type": "lexical_detection", "query": "grief", "prompt": "When the utterance is complete, report all instances of the word \"grief\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0009.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the full audio. After it finishes, find every instance of a family relation. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0005.flac", "task_type": "lexical_detection", "query": "weeks", "prompt": "After the audio ends, extract all occurrences of the word \"weeks\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0000.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the full audio. After it finishes, find every instance of a family relation. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0015.flac", "task_type": "lexical_detection", "query": "ear", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"ear\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0027.flac", "task_type": "lexical_detection", "query": "insult", "prompt": "Once the audio has finished, identify every instance of the word \"insult\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0010.flac", "task_type": "lexical_detection", "query": "beneath", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"beneath\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0001.flac", "task_type": "lexical_detection", "query": "touch", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"touch\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0044.flac", "task_type": "lexical_detection", "query": "fully", "prompt": "Once the audio has finished, identify every instance of the word \"fully\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0002.flac", "task_type": "lexical_counting", "query": "youth", "prompt": "Once the audio has finished, list each occurrence of the word \"youth\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0040.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the full audio. After it finishes, find every instance of a body part. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0058.flac", "task_type": "lexical_detection", "query": "iron", "prompt": "Process the full audio offline. Find every instance of the word \"iron\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0040.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Once the audio has finished, list each occurrence of a country name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0025.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "Once the audio has finished, list each occurrence of a time of day as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0017.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the full audio. After it finishes, find every instance of a date. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0035.flac", "task_type": "lexical_detection", "query": "especially", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"especially\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0018.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0012.flac", "task_type": "lexical_detection", "query": "value", "prompt": "After the audio ends, extract all occurrences of the word \"value\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0002.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0003.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0046.flac", "task_type": "lexical_detection", "query": "follows", "prompt": "Once the audio has finished, identify every instance of the word \"follows\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0031.flac", "task_type": "lexical_detection", "query": "lad", "prompt": "When the utterance is complete, report all instances of the word \"lad\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245715-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245715/7697-245715-0002.flac", "task_type": "lexical_detection", "query": "doesn't", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"doesn't\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0034.flac", "task_type": "lexical_detection", "query": "growing", "prompt": "After the audio ends, extract all occurrences of the word \"growing\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0003.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Once the audio has finished, identify every instance of a color name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0020.flac", "task_type": "lexical_detection", "query": "wooden", "prompt": "When the utterance is complete, report all instances of the word \"wooden\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0011.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Do not answer until the audio ends. Then list each instance of a profession as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0036.flac", "task_type": "lexical_detection", "query": "cable", "prompt": "After listening to the whole recording, output every instance of the word \"cable\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0045.flac", "task_type": "lexical_detection", "query": "window", "prompt": "Process the full audio offline. Find every instance of the word \"window\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0004.flac", "task_type": "lexical_detection", "query": "troops", "prompt": "Once the audio has finished, identify every instance of the word \"troops\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0026.flac", "task_type": "lexical_detection", "query": "you'd", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"you'd\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0054.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0005.flac", "task_type": "lexical_detection", "query": "cave", "prompt": "After listening to the whole recording, output every instance of the word \"cave\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0040.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0034.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0070", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0070.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0002.flac", "task_type": "lexical_detection", "query": "gazed", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"gazed\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0007.flac", "task_type": "lexical_detection", "query": "surprised", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"surprised\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0068", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0068.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "Once the audio has finished, list each occurrence of a disease name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0025.flac", "task_type": "lexical_detection", "query": "ejaculated", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"ejaculated\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0008.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "When the utterance is complete, report all instances of an animal name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0023.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen carefully to the entire clip, then report every instance of a city name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0002.flac", "task_type": "lexical_detection", "query": "wonderful", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"wonderful\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0028.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0089", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0089.flac", "task_type": "lexical_detection", "query": "household", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"household\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0063.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "When the utterance is complete, report how an ordinal number accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0007.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0035.flac", "task_type": "lexical_detection", "query": "spread", "prompt": "Process the full audio offline. Find every instance of the word \"spread\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0029.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen carefully to the entire clip, then report every instance of a person's name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0004.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0014.flac", "task_type": "lexical_detection", "query": "disposition", "prompt": "Once the audio has finished, identify every instance of the word \"disposition\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0033.flac", "task_type": "lexical_detection", "query": "hero", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"hero\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0004.flac", "task_type": "lexical_detection", "query": "hast", "prompt": "When the utterance is complete, report all instances of the word \"hast\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0017.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0012.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0028.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0041.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0004.flac", "task_type": "lexical_detection", "query": "cross", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"cross\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0054.flac", "task_type": "lexical_detection", "query": "drunk", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"drunk\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0026.flac", "task_type": "lexical_detection", "query": "flowers", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"flowers\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0018.flac", "task_type": "lexical_detection", "query": "images", "prompt": "Once the audio has finished, identify every instance of the word \"images\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0029.flac", "task_type": "lexical_detection", "query": "portrait", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"portrait\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0006.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0016.flac", "task_type": "lexical_detection", "query": "cousin", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"cousin\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0004.flac", "task_type": "lexical_detection", "query": "religious", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"religious\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0019.flac", "task_type": "lexical_detection", "query": "grateful", "prompt": "Process the full audio offline. Find every instance of the word \"grateful\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0005.flac", "task_type": "lexical_detection", "query": "excitement", "prompt": "When the utterance is complete, report all instances of the word \"excitement\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0018.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0029.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a state or province name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0015.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0042.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0054.flac", "task_type": "lexical_detection", "query": "quoth", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"quoth\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0013.flac", "task_type": "lexical_detection", "query": "vacation", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"vacation\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0043.flac", "task_type": "lexical_detection", "query": "honest", "prompt": "Process the full audio offline. Find every instance of the word \"honest\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0027.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0002.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0038.flac", "task_type": "lexical_detection", "query": "lovely", "prompt": "When the utterance is complete, report all instances of the word \"lovely\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0003.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0014.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0002.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Do not answer until the audio ends. Then list each instance of an animal name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0106", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0106.flac", "task_type": "lexical_detection", "query": "fourth", "prompt": "After the audio ends, extract all occurrences of the word \"fourth\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0103", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0103.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After listening to the whole recording, output every instance of a date with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0015.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0005.flac", "task_type": "lexical_detection", "query": "jocelyn", "prompt": "After listening to the whole recording, output every instance of the word \"jocelyn\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0002.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Do not answer until the audio ends. Then list each instance of a city name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0028.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Do not answer until the audio ends. Then list each instance of a plant name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0020.flac", "task_type": "lexical_detection", "query": "lust", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"lust\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0005.flac", "task_type": "lexical_detection", "query": "lies", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"lies\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0011.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0018.flac", "task_type": "lexical_detection", "query": "social", "prompt": "After the audio ends, extract all occurrences of the word \"social\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0015.flac", "task_type": "lexical_counting", "query": "dull", "prompt": "After listening to the whole recording, output timed count words for the word \"dull\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0006.flac", "task_type": "lexical_detection", "query": "ugly", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"ugly\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0017.flac", "task_type": "lexical_detection", "query": "thrown", "prompt": "When the utterance is complete, report all instances of the word \"thrown\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0031.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen carefully to the entire clip, then report every instance of an animal name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0003.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0004.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0001.flac", "task_type": "lexical_detection", "query": "sought", "prompt": "Process the full audio offline. Find every instance of the word \"sought\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0009.flac", "task_type": "lexical_detection", "query": "score", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"score\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0015.flac", "task_type": "lexical_detection", "query": "they'd", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"they'd\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0024.flac", "task_type": "lexical_detection", "query": "honor", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"honor\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0053.flac", "task_type": "lexical_detection", "query": "grew", "prompt": "After listening to the whole recording, output every instance of the word \"grew\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0008.flac", "task_type": "lexical_detection", "query": "welcome", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"welcome\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0039.flac", "task_type": "lexical_detection", "query": "dream", "prompt": "When the utterance is complete, report all instances of the word \"dream\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0029.flac", "task_type": "lexical_detection", "query": "painter", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"painter\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0000.flac", "task_type": "lexical_detection", "query": "gratefully", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"gratefully\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0031.flac", "task_type": "lexical_detection", "query": "hoped", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"hoped\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0012.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0028.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "When the utterance is complete, report all instances of an animal name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0017.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Once the audio has finished, identify every instance of a weather term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0013.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Do not answer until the audio ends. Then list each instance of a city name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0004.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After the audio ends, extract all occurrences of a money or currency term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0009.flac", "task_type": "lexical_detection", "query": "quietly", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"quietly\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0010.flac", "task_type": "lexical_detection", "query": "peter", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"peter\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0050.flac", "task_type": "lexical_detection", "query": "books", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"books\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0001.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "When the utterance is complete, report all instances of a weather term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0031.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0017.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0017.flac", "task_type": "lexical_detection", "query": "india", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"india\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0031.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0033.flac", "task_type": "lexical_detection", "query": "horses", "prompt": "Once the audio has finished, identify every instance of the word \"horses\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0058.flac", "task_type": "lexical_counting", "query": "heels", "prompt": "After listening to the whole recording, output timed count words for the word \"heels\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0049.flac", "task_type": "lexical_counting", "query": "francis", "prompt": "Process the full audio offline. For every occurrence of the word \"francis\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0024.flac", "task_type": "lexical_detection", "query": "health", "prompt": "Process the full audio offline. Find every instance of the word \"health\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0002.flac", "task_type": "lexical_detection", "query": "older", "prompt": "When the utterance is complete, report all instances of the word \"older\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0011.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0035.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0005.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0039.flac", "task_type": "lexical_detection", "query": "indian", "prompt": "When the utterance is complete, report all instances of the word \"indian\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0010.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0003.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen carefully to the entire clip, then report every instance of a family relation as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0018.flac", "task_type": "lexical_detection", "query": "hearts", "prompt": "When the utterance is complete, report all instances of the word \"hearts\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0029.flac", "task_type": "lexical_counting", "query": "hanging", "prompt": "When the utterance is complete, report how the word \"hanging\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0019.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Process the full audio offline. Find every instance of a body part and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0041.flac", "task_type": "lexical_detection", "query": "lines", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"lines\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0026.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Once the audio has finished, identify every instance of a food name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0028.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0053.flac", "task_type": "lexical_detection", "query": "fun", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"fun\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0032.flac", "task_type": "lexical_detection", "query": "smooth", "prompt": "Process the full audio offline. Find every instance of the word \"smooth\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0040.flac", "task_type": "lexical_detection", "query": "increased", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"increased\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0022.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0034.flac", "task_type": "lexical_detection", "query": "quarter", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"quarter\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0011.flac", "task_type": "lexical_detection", "query": "mass", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"mass\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0037.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0004.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen carefully to the entire clip, then report every instance of a food name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0005.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0006.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0011.flac", "task_type": "lexical_detection", "query": "donkey", "prompt": "When the utterance is complete, report all instances of the word \"donkey\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0003.flac", "task_type": "lexical_detection", "query": "stream", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"stream\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0051.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, list every instance of a profession you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0011.flac", "task_type": "lexical_detection", "query": "passage", "prompt": "Once the audio has finished, identify every instance of the word \"passage\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0012.flac", "task_type": "lexical_detection", "query": "twisted", "prompt": "Once the audio has finished, identify every instance of the word \"twisted\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0040.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0003.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0000.flac", "task_type": "lexical_detection", "query": "blow", "prompt": "After listening to the whole recording, output every instance of the word \"blow\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0012.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0023.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0000.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0011.flac", "task_type": "lexical_detection", "query": "lifted", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"lifted\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0004.flac", "task_type": "lexical_detection", "query": "placed", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"placed\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0013.flac", "task_type": "lexical_detection", "query": "bert", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"bert\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0002.flac", "task_type": "lexical_detection", "query": "silly", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"silly\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0009.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0006.flac", "task_type": "lexical_counting", "query": "paused", "prompt": "Process the full audio offline. For every occurrence of the word \"paused\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0050.flac", "task_type": "lexical_detection", "query": "opposite", "prompt": "Once the audio has finished, identify every instance of the word \"opposite\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0006.flac", "task_type": "lexical_detection", "query": "feelings", "prompt": "After listening to the whole recording, output every instance of the word \"feelings\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0033.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0002.flac", "task_type": "lexical_detection", "query": "existence", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"existence\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0087", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0087.flac", "task_type": "lexical_detection", "query": "grand", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"grand\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0007.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Once the audio has finished, identify every instance of a color name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0043.flac", "task_type": "lexical_detection", "query": "multitude", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"multitude\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0028.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0011.flac", "task_type": "lexical_detection", "query": "pine", "prompt": "Process the full audio offline. Find every instance of the word \"pine\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0025.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0004.flac", "task_type": "lexical_detection", "query": "mary", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"mary\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0043.flac", "task_type": "lexical_detection", "query": "learn", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"learn\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0022.flac", "task_type": "lexical_detection", "query": "cheeks", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"cheeks\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0007.flac", "task_type": "lexical_detection", "query": "spirits", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"spirits\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0004.flac", "task_type": "lexical_detection", "query": "occurred", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"occurred\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0003.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0011.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Listen to the entire clip, then report the count sequence for a plant name as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0032.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the full audio. After it finishes, find every instance of a body part. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0015.flac", "task_type": "lexical_counting", "query": "preparations", "prompt": "Process the full audio offline. For every occurrence of the word \"preparations\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0015.flac", "task_type": "lexical_counting", "query": "maybe", "prompt": "Process the full audio offline. For every occurrence of the word \"maybe\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0026.flac", "task_type": "lexical_detection", "query": "common", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"common\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0011.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "When the utterance is complete, report all instances of a profession including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0006.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0000.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After the audio ends, extract all occurrences of a money or currency term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0021.flac", "task_type": "lexical_detection", "query": "staff", "prompt": "Once the audio has finished, identify every instance of the word \"staff\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0005.flac", "task_type": "lexical_detection", "query": "tone", "prompt": "After listening to the whole recording, output every instance of the word \"tone\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0007.flac", "task_type": "lexical_detection", "query": "circumstances", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"circumstances\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0002.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0008.flac", "task_type": "lexical_detection", "query": "minutes", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"minutes\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0073", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0073.flac", "task_type": "lexical_detection", "query": "companions", "prompt": "When the utterance is complete, report all instances of the word \"companions\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0012.flac", "task_type": "lexical_counting", "query": "expected", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"expected\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0006.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0000.flac", "task_type": "lexical_detection", "query": "milton", "prompt": "After the audio ends, extract all occurrences of the word \"milton\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0009.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0016.flac", "task_type": "lexical_detection", "query": "pale", "prompt": "Process the full audio offline. Find every instance of the word \"pale\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0035.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After the audio ends, extract all occurrences of a profession. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0003.flac", "task_type": "lexical_detection", "query": "meaning", "prompt": "After listening to the whole recording, output every instance of the word \"meaning\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0024.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0012.flac", "task_type": "lexical_detection", "query": "inevitable", "prompt": "After listening to the whole recording, output every instance of the word \"inevitable\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0008.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0002.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0045.flac", "task_type": "lexical_detection", "query": "sharply", "prompt": "Process the full audio offline. Find every instance of the word \"sharply\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0000.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0030.flac", "task_type": "semantic_counting", "query": "body_part", "prompt": "When the utterance is complete, report how a body part accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0010.flac", "task_type": "lexical_detection", "query": "scroll", "prompt": "When the utterance is complete, report all instances of the word \"scroll\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0041.flac", "task_type": "lexical_counting", "query": "glory", "prompt": "Once the audio has finished, list each occurrence of the word \"glory\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0009.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0024.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After listening to the whole recording, output every instance of a person's name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0025.flac", "task_type": "lexical_detection", "query": "mentioned", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"mentioned\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0033.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the full audio. After it finishes, find every instance of a money or currency term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0043.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen carefully to the entire clip, then report every instance of a plant name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0016.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0003.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0078", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0078.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0058.flac", "task_type": "lexical_detection", "query": "sword", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"sword\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0018.flac", "task_type": "lexical_detection", "query": "trial", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"trial\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0007.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After listening to the whole recording, output every instance of a money or currency term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0003.flac", "task_type": "lexical_detection", "query": "divided", "prompt": "When the utterance is complete, report all instances of the word \"divided\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0001.flac", "task_type": "lexical_detection", "query": "surrender", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"surrender\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0004.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0041.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0032.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0001.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0025.flac", "task_type": "lexical_detection", "query": "rejoined", "prompt": "Once the audio has finished, identify every instance of the word \"rejoined\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0014.flac", "task_type": "lexical_counting", "query": "judge", "prompt": "Listen to the entire clip, then report the count sequence for the word \"judge\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0014.flac", "task_type": "lexical_detection", "query": "rama", "prompt": "After the audio ends, extract all occurrences of the word \"rama\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0033.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0022.flac", "task_type": "lexical_detection", "query": "mistress", "prompt": "Process the full audio offline. Find every instance of the word \"mistress\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0004.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0016.flac", "task_type": "lexical_detection", "query": "sadly", "prompt": "Process the full audio offline. Find every instance of the word \"sadly\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0042.flac", "task_type": "lexical_detection", "query": "offer", "prompt": "Process the full audio offline. Find every instance of the word \"offer\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0032.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0001.flac", "task_type": "lexical_detection", "query": "pass", "prompt": "Once the audio has finished, identify every instance of the word \"pass\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0002.flac", "task_type": "lexical_detection", "query": "anxiously", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"anxiously\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0003.flac", "task_type": "lexical_detection", "query": "seventy", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"seventy\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0013.flac", "task_type": "lexical_counting", "query": "occasion", "prompt": "Once the audio has finished, list each occurrence of the word \"occasion\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0052.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0027.flac", "task_type": "lexical_detection", "query": "hal", "prompt": "Process the full audio offline. Find every instance of the word \"hal\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0022.flac", "task_type": "lexical_detection", "query": "devil", "prompt": "After the audio ends, extract all occurrences of the word \"devil\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0001.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0014.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0027.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0007.flac", "task_type": "lexical_detection", "query": "seated", "prompt": "Process the full audio offline. Find every instance of the word \"seated\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0023.flac", "task_type": "lexical_detection", "query": "meal", "prompt": "After the audio ends, extract all occurrences of the word \"meal\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0002.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0044.flac", "task_type": "lexical_detection", "query": "play", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"play\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0016.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After listening to the whole recording, output every instance of a family relation with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0004.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0018.flac", "task_type": "semantic_detection", "query": "country", "prompt": "You will hear a complete utterance. When it ends, list every instance of a country name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0008.flac", "task_type": "lexical_detection", "query": "northern", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"northern\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0025.flac", "task_type": "lexical_detection", "query": "mighty", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"mighty\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0026.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Do not answer until the audio ends. Then list each instance of a food name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0004.flac", "task_type": "lexical_detection", "query": "luck", "prompt": "After listening to the whole recording, output every instance of the word \"luck\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0025.flac", "task_type": "lexical_detection", "query": "lying", "prompt": "After listening to the whole recording, output every instance of the word \"lying\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0006.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0045.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0012.flac", "task_type": "lexical_detection", "query": "rushed", "prompt": "After the audio ends, extract all occurrences of the word \"rushed\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0017.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0016.flac", "task_type": "lexical_detection", "query": "ancient", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"ancient\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0034.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0013.flac", "task_type": "lexical_detection", "query": "funeral", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"funeral\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0001.flac", "task_type": "lexical_detection", "query": "paid", "prompt": "Process the full audio offline. Find every instance of the word \"paid\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0004.flac", "task_type": "lexical_detection", "query": "empty", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"empty\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0041.flac", "task_type": "lexical_detection", "query": "possibly", "prompt": "After listening to the whole recording, output every instance of the word \"possibly\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0001.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0038.flac", "task_type": "lexical_detection", "query": "save", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"save\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0032.flac", "task_type": "lexical_detection", "query": "society", "prompt": "After the audio ends, extract all occurrences of the word \"society\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0014.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0019.flac", "task_type": "lexical_detection", "query": "rode", "prompt": "Process the full audio offline. Find every instance of the word \"rode\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0032.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, list every instance of a weather term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0011.flac", "task_type": "lexical_detection", "query": "necessarily", "prompt": "After the audio ends, extract all occurrences of the word \"necessarily\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0032.flac", "task_type": "lexical_detection", "query": "preacher", "prompt": "Once the audio has finished, identify every instance of the word \"preacher\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0022.flac", "task_type": "lexical_counting", "query": "practice", "prompt": "Once the audio has finished, list each occurrence of the word \"practice\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0002.flac", "task_type": "lexical_detection", "query": "prisoners", "prompt": "Process the full audio offline. Find every instance of the word \"prisoners\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0031.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the full audio. After it finishes, find every instance of a date. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0008.flac", "task_type": "lexical_detection", "query": "sank", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"sank\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0000.flac", "task_type": "lexical_detection", "query": "states", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"states\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0033.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "Listen to the full audio. Count every occurrence of a profession. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0014.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0010.flac", "task_type": "lexical_detection", "query": "afternoon", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"afternoon\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0001.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0045.flac", "task_type": "lexical_counting", "query": "eaten", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"eaten\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0061", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0061.flac", "task_type": "lexical_detection", "query": "started", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"started\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0013.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "Process the full audio offline. For every occurrence of a profession, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0011.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the full audio. After it finishes, find every instance of a family relation. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0006.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Do not answer until the audio ends. Then list each instance of a food name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0011.flac", "task_type": "lexical_detection", "query": "abroad", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"abroad\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0002.flac", "task_type": "lexical_detection", "query": "post", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"post\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0025.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0052.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0001.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0025.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an ordinal number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0011.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Do not answer until the audio ends. Then list each instance of a food name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0006.flac", "task_type": "semantic_detection", "query": "country", "prompt": "When the utterance is complete, report all instances of a country name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0021.flac", "task_type": "lexical_detection", "query": "caught", "prompt": "After the audio ends, extract all occurrences of the word \"caught\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0004.flac", "task_type": "lexical_detection", "query": "slipped", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"slipped\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0021.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0016.flac", "task_type": "lexical_detection", "query": "succeeded", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"succeeded\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0011.flac", "task_type": "lexical_detection", "query": "beasts", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"beasts\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0034.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Once the audio has finished, identify every instance of a weather term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0022.flac", "task_type": "lexical_counting", "query": "waiting", "prompt": "Once the audio has finished, list each occurrence of the word \"waiting\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0024.flac", "task_type": "lexical_detection", "query": "supper", "prompt": "After listening to the whole recording, output every instance of the word \"supper\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0050.flac", "task_type": "lexical_detection", "query": "keeping", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"keeping\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0044.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen carefully to the entire clip, then report every instance of a number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0026.flac", "task_type": "lexical_detection", "query": "prayers", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"prayers\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0000.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "When the utterance is complete, report all instances of an animal name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0033.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0004.flac", "task_type": "lexical_detection", "query": "meant", "prompt": "Once the audio has finished, identify every instance of the word \"meant\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0039.flac", "task_type": "lexical_detection", "query": "expect", "prompt": "After the audio ends, extract all occurrences of the word \"expect\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0027.flac", "task_type": "lexical_detection", "query": "proposed", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"proposed\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0046.flac", "task_type": "lexical_detection", "query": "ourselves", "prompt": "Once the audio has finished, identify every instance of the word \"ourselves\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0003.flac", "task_type": "lexical_detection", "query": "reach", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"reach\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0015.flac", "task_type": "lexical_detection", "query": "misfortune", "prompt": "Process the full audio offline. Find every instance of the word \"misfortune\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0005.flac", "task_type": "lexical_detection", "query": "considered", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"considered\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0021.flac", "task_type": "lexical_detection", "query": "raised", "prompt": "Process the full audio offline. Find every instance of the word \"raised\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0032.flac", "task_type": "lexical_counting", "query": "promptly", "prompt": "Process the full audio offline. For every occurrence of the word \"promptly\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0047.flac", "task_type": "lexical_detection", "query": "lincoln", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"lincoln\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0005.flac", "task_type": "lexical_detection", "query": "sum", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"sum\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0027.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0043.flac", "task_type": "lexical_detection", "query": "advantage", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"advantage\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0029.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0011.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0009.flac", "task_type": "lexical_detection", "query": "wide", "prompt": "When the utterance is complete, report all instances of the word \"wide\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0019.flac", "task_type": "lexical_detection", "query": "crime", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"crime\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0024.flac", "task_type": "lexical_detection", "query": "bells", "prompt": "Once the audio has finished, identify every instance of the word \"bells\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0043.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0010.flac", "task_type": "lexical_detection", "query": "voices", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"voices\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0007.flac", "task_type": "lexical_detection", "query": "french", "prompt": "Once the audio has finished, identify every instance of the word \"french\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0016.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0047.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen carefully to the entire clip, then report every instance of a food name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0017.flac", "task_type": "lexical_detection", "query": "servant", "prompt": "When the utterance is complete, report all instances of the word \"servant\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0002.flac", "task_type": "lexical_detection", "query": "deuce", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"deuce\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0015.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Do not answer until the audio ends. Then list each instance of an animal name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0027.flac", "task_type": "lexical_detection", "query": "shan't", "prompt": "After listening to the whole recording, output every instance of the word \"shan't\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0024.flac", "task_type": "lexical_counting", "query": "proud", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"proud\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0087", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0087.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0018.flac", "task_type": "lexical_detection", "query": "fighting", "prompt": "After the audio ends, extract all occurrences of the word \"fighting\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0012.flac", "task_type": "lexical_detection", "query": "safe", "prompt": "After the audio ends, extract all occurrences of the word \"safe\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0011.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0016.flac", "task_type": "lexical_detection", "query": "extreme", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"extreme\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0030.flac", "task_type": "lexical_detection", "query": "kiss", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"kiss\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0024.flac", "task_type": "lexical_detection", "query": "flat", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"flat\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0013.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0040.flac", "task_type": "lexical_detection", "query": "sighed", "prompt": "After the audio ends, extract all occurrences of the word \"sighed\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0012.flac", "task_type": "lexical_detection", "query": "tobacco", "prompt": "After the audio ends, extract all occurrences of the word \"tobacco\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0015.flac", "task_type": "lexical_detection", "query": "trust", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"trust\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0042.flac", "task_type": "lexical_detection", "query": "wept", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"wept\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0003.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0013.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0027.flac", "task_type": "lexical_detection", "query": "carry", "prompt": "After the audio ends, extract all occurrences of the word \"carry\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0007.flac", "task_type": "lexical_detection", "query": "stake", "prompt": "After listening to the whole recording, output every instance of the word \"stake\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0003.flac", "task_type": "lexical_detection", "query": "confounded", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"confounded\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0025.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0033.flac", "task_type": "lexical_detection", "query": "recovered", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"recovered\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0002.flac", "task_type": "lexical_detection", "query": "henrietta", "prompt": "When the utterance is complete, report all instances of the word \"henrietta\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0009.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0020.flac", "task_type": "lexical_detection", "query": "naturally", "prompt": "Once the audio has finished, identify every instance of the word \"naturally\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0030.flac", "task_type": "lexical_detection", "query": "moving", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"moving\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0004.flac", "task_type": "lexical_counting", "query": "stick", "prompt": "Process the full audio offline. For every occurrence of the word \"stick\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0023.flac", "task_type": "lexical_counting", "query": "stormed", "prompt": "Listen to the full audio. Count every occurrence of the word \"stormed\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0044.flac", "task_type": "lexical_detection", "query": "chain", "prompt": "After the audio ends, extract all occurrences of the word \"chain\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0066", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0066.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0026.flac", "task_type": "lexical_detection", "query": "affection", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"affection\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0006.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0004.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Listen to the full audio. Count every occurrence of a family relation. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0017.flac", "task_type": "lexical_counting", "query": "uttered", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"uttered\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0051.flac", "task_type": "lexical_detection", "query": "prayer", "prompt": "Once the audio has finished, identify every instance of the word \"prayer\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0010.flac", "task_type": "lexical_detection", "query": "flew", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"flew\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0034.flac", "task_type": "lexical_detection", "query": "view", "prompt": "After listening to the whole recording, output every instance of the word \"view\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0023.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0024.flac", "task_type": "lexical_detection", "query": "enemies", "prompt": "Once the audio has finished, identify every instance of the word \"enemies\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0015.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0016.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the full audio. After it finishes, find every instance of a country name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0017.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "When the utterance is complete, report all instances of a state or province name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0002.flac", "task_type": "lexical_detection", "query": "beloved", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"beloved\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0016.flac", "task_type": "lexical_detection", "query": "height", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"height\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0009.flac", "task_type": "lexical_detection", "query": "utterly", "prompt": "After listening to the whole recording, output every instance of the word \"utterly\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0025.flac", "task_type": "lexical_detection", "query": "supposed", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"supposed\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0008.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0019.flac", "task_type": "lexical_detection", "query": "johnson", "prompt": "After listening to the whole recording, output every instance of the word \"johnson\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0021.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0006.flac", "task_type": "lexical_detection", "query": "reverse", "prompt": "After listening to the whole recording, output every instance of the word \"reverse\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0025.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0023.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0044.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0007.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "When the utterance is complete, report all instances of a profession including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0035.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0001.flac", "task_type": "semantic_detection", "query": "city", "prompt": "When the utterance is complete, report all instances of a city name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0010.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0012.flac", "task_type": "lexical_detection", "query": "papa", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"papa\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0010.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Process the full audio offline. For every occurrence of a state or province name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0026.flac", "task_type": "lexical_detection", "query": "electric", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"electric\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0055.flac", "task_type": "lexical_detection", "query": "exactly", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"exactly\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0002.flac", "task_type": "lexical_detection", "query": "visit", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"visit\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0022.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After the audio ends, extract all occurrences of a body part. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0020.flac", "task_type": "lexical_detection", "query": "poem", "prompt": "After the audio ends, extract all occurrences of the word \"poem\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0061", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0061.flac", "task_type": "lexical_detection", "query": "eyed", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"eyed\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0011.flac", "task_type": "lexical_detection", "query": "hours", "prompt": "After the audio ends, extract all occurrences of the word \"hours\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0018.flac", "task_type": "lexical_counting", "query": "watch", "prompt": "Listen to the entire clip, then report the count sequence for the word \"watch\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0028.flac", "task_type": "lexical_detection", "query": "zion", "prompt": "Once the audio has finished, identify every instance of the word \"zion\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0043.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a time of day: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0022.flac", "task_type": "lexical_counting", "query": "mikhaylovna", "prompt": "Listen to the entire clip, then report the count sequence for the word \"mikhaylovna\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0051.flac", "task_type": "lexical_detection", "query": "beast", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"beast\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0005.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "You will hear a complete utterance. When it ends, list every instance of a person's name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0027.flac", "task_type": "lexical_detection", "query": "break", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"break\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0004.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Once the audio has finished, list each occurrence of a country name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0022.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0026.flac", "task_type": "lexical_detection", "query": "struggling", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"struggling\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0015.flac", "task_type": "lexical_detection", "query": "threw", "prompt": "When the utterance is complete, report all instances of the word \"threw\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0018.flac", "task_type": "lexical_detection", "query": "latter", "prompt": "After the audio ends, extract all occurrences of the word \"latter\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0034.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Do not answer until the audio ends. Then list each instance of a profession as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0004.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0034.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0006.flac", "task_type": "lexical_detection", "query": "usual", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"usual\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0006.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0012.flac", "task_type": "lexical_detection", "query": "stands", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"stands\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0012.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0070", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0070.flac", "task_type": "lexical_detection", "query": "seven", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"seven\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0031.flac", "task_type": "lexical_detection", "query": "secret", "prompt": "Process the full audio offline. Find every instance of the word \"secret\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0023.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0035.flac", "task_type": "lexical_detection", "query": "gentlemen", "prompt": "When the utterance is complete, report all instances of the word \"gentlemen\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0045.flac", "task_type": "lexical_detection", "query": "guide", "prompt": "After listening to the whole recording, output every instance of the word \"guide\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0013.flac", "task_type": "lexical_detection", "query": "hatteras", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"hatteras\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0002.flac", "task_type": "lexical_detection", "query": "garden", "prompt": "When the utterance is complete, report all instances of the word \"garden\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0006.flac", "task_type": "semantic_detection", "query": "food", "prompt": "You will hear a complete utterance. When it ends, list every instance of a food name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0014.flac", "task_type": "lexical_detection", "query": "trouble", "prompt": "Once the audio has finished, identify every instance of the word \"trouble\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0025.flac", "task_type": "lexical_detection", "query": "knees", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"knees\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0007.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0016.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0013.flac", "task_type": "lexical_detection", "query": "diana", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"diana\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0027.flac", "task_type": "lexical_detection", "query": "treasure", "prompt": "After listening to the whole recording, output every instance of the word \"treasure\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0022.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After the audio ends, extract all occurrences of a person's name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0063.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0061", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0061.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0054.flac", "task_type": "lexical_detection", "query": "faithful", "prompt": "Once the audio has finished, identify every instance of the word \"faithful\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0090", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0090.flac", "task_type": "lexical_detection", "query": "led", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"led\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0014.flac", "task_type": "lexical_detection", "query": "reading", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"reading\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0039.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0066", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0066.flac", "task_type": "lexical_detection", "query": "accept", "prompt": "After listening to the whole recording, output every instance of the word \"accept\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0029.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0015.flac", "task_type": "lexical_detection", "query": "lived", "prompt": "After listening to the whole recording, output every instance of the word \"lived\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0019.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Once the audio has finished, identify every instance of a money or currency term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0008.flac", "task_type": "lexical_detection", "query": "concerning", "prompt": "After the audio ends, extract all occurrences of the word \"concerning\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0072", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0072.flac", "task_type": "lexical_detection", "query": "umbrella", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"umbrella\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0005.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0012.flac", "task_type": "lexical_detection", "query": "discussion", "prompt": "When the utterance is complete, report all instances of the word \"discussion\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0013.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0018.flac", "task_type": "semantic_counting", "query": "city", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a city name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0018.flac", "task_type": "lexical_detection", "query": "song", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"song\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0030.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0028.flac", "task_type": "lexical_detection", "query": "killed", "prompt": "After the audio ends, extract all occurrences of the word \"killed\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0029.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the full audio. After it finishes, find every instance of an animal name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0019.flac", "task_type": "lexical_detection", "query": "efforts", "prompt": "After listening to the whole recording, output every instance of the word \"efforts\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0030.flac", "task_type": "lexical_detection", "query": "attitude", "prompt": "After the audio ends, extract all occurrences of the word \"attitude\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0040.flac", "task_type": "lexical_detection", "query": "ears", "prompt": "Process the full audio offline. Find every instance of the word \"ears\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0045.flac", "task_type": "lexical_detection", "query": "handsome", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"handsome\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0042.flac", "task_type": "lexical_detection", "query": "shook", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"shook\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0004.flac", "task_type": "lexical_detection", "query": "content", "prompt": "After listening to the whole recording, output every instance of the word \"content\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0001.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0006.flac", "task_type": "lexical_counting", "query": "change", "prompt": "Listen to the entire clip, then report the count sequence for the word \"change\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0061", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0061.flac", "task_type": "lexical_detection", "query": "cane", "prompt": "Once the audio has finished, identify every instance of the word \"cane\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0010.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0024.flac", "task_type": "lexical_detection", "query": "skillful", "prompt": "After the audio ends, extract all occurrences of the word \"skillful\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0025.flac", "task_type": "lexical_detection", "query": "plain", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"plain\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0001.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0012.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0004.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0039.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "When the utterance is complete, report all instances of a person's name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0001.flac", "task_type": "lexical_detection", "query": "maestro", "prompt": "Once the audio has finished, identify every instance of the word \"maestro\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0047.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0005.flac", "task_type": "lexical_counting", "query": "chance", "prompt": "After the audio ends, tally every instance of the word \"chance\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0009.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen carefully to the entire clip, then report every instance of a city name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0010.flac", "task_type": "lexical_detection", "query": "allowed", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"allowed\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0047.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen carefully to the entire clip, then report every instance of a time of day as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0014.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0033.flac", "task_type": "lexical_counting", "query": "march", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"march\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0009.flac", "task_type": "lexical_detection", "query": "square", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"square\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0026.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the full audio. After it finishes, find every instance of a date. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0014.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the full audio. After it finishes, find every instance of a date. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0003.flac", "task_type": "lexical_detection", "query": "running", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"running\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0002.flac", "task_type": "lexical_detection", "query": "mamma", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"mamma\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0008.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0007.flac", "task_type": "lexical_detection", "query": "filled", "prompt": "After the audio ends, extract all occurrences of the word \"filled\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0043.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0033.flac", "task_type": "lexical_detection", "query": "private", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"private\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0006.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0003.flac", "task_type": "lexical_detection", "query": "reply", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"reply\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0032.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After listening to the whole recording, output every instance of a country name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0004.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0013.flac", "task_type": "lexical_detection", "query": "decidedly", "prompt": "When the utterance is complete, report all instances of the word \"decidedly\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0023.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0024.flac", "task_type": "lexical_detection", "query": "covered", "prompt": "Process the full audio offline. Find every instance of the word \"covered\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0015.flac", "task_type": "lexical_detection", "query": "cattle", "prompt": "After listening to the whole recording, output every instance of the word \"cattle\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0004.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0008.flac", "task_type": "lexical_detection", "query": "armed", "prompt": "When the utterance is complete, report all instances of the word \"armed\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0005.flac", "task_type": "semantic_counting", "query": "organization", "prompt": "Once the audio has finished, list each occurrence of an organization name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0003.flac", "task_type": "lexical_counting", "query": "sit", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"sit\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0030.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0008.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0024.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "After the audio ends, tally every instance of a weather term. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0004.flac", "task_type": "lexical_detection", "query": "caused", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"caused\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0017.flac", "task_type": "lexical_detection", "query": "presence", "prompt": "After listening to the whole recording, output every instance of the word \"presence\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0017.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "When the utterance is complete, report all instances of a body part including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0024.flac", "task_type": "lexical_detection", "query": "opinion", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"opinion\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0018.flac", "task_type": "lexical_detection", "query": "express", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"express\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0010.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0040.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0005.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0047.flac", "task_type": "lexical_detection", "query": "according", "prompt": "After listening to the whole recording, output every instance of the word \"according\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0031.flac", "task_type": "lexical_detection", "query": "fair", "prompt": "After the audio ends, extract all occurrences of the word \"fair\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0000.flac", "task_type": "semantic_counting", "query": "color", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a color name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0042.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0000.flac", "task_type": "lexical_detection", "query": "fresh", "prompt": "After listening to the whole recording, output every instance of the word \"fresh\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0018.flac", "task_type": "lexical_detection", "query": "silk", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"silk\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0010.flac", "task_type": "lexical_detection", "query": "sister", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"sister\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0003.flac", "task_type": "semantic_counting", "query": "money", "prompt": "Process the full audio offline. For every occurrence of a money or currency term, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0006.flac", "task_type": "lexical_detection", "query": "due", "prompt": "After listening to the whole recording, output every instance of the word \"due\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0029.flac", "task_type": "lexical_detection", "query": "wondered", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"wondered\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0017.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Process the full audio offline. Find every instance of a money or currency term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0000.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Process the full audio offline. Find every instance of an organization name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0072", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0072.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "Listen to the full audio. Count every occurrence of a disease name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0064.flac", "task_type": "lexical_detection", "query": "individual", "prompt": "After the audio ends, extract all occurrences of the word \"individual\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0003.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0049.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0017.flac", "task_type": "lexical_detection", "query": "receive", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"receive\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0043.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0075", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0075.flac", "task_type": "lexical_detection", "query": "plan", "prompt": "Process the full audio offline. Find every instance of the word \"plan\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0014.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0015.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen carefully to the entire clip, then report every instance of a body part as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0007.flac", "task_type": "lexical_detection", "query": "rajah", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"rajah\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0019.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After listening to the whole recording, output every instance of a weather term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0015.flac", "task_type": "semantic_counting", "query": "date", "prompt": "After listening to the whole recording, output timed count words for a date (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0002.flac", "task_type": "lexical_detection", "query": "ease", "prompt": "Once the audio has finished, identify every instance of the word \"ease\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0007.flac", "task_type": "lexical_detection", "query": "cure", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"cure\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0005.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0021.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen carefully to the entire clip, then report every instance of an animal name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0002.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0017.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0013.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0009.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0013.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0039.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0002.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0034.flac", "task_type": "semantic_detection", "query": "city", "prompt": "When the utterance is complete, report all instances of a city name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0023.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0034.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the full audio. After it finishes, find every instance of an ordinal number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0037.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Process the full audio offline. For every occurrence of a family relation, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0007.flac", "task_type": "lexical_detection", "query": "existed", "prompt": "After listening to the whole recording, output every instance of the word \"existed\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0031.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0002.flac", "task_type": "lexical_detection", "query": "maid", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"maid\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0004.flac", "task_type": "lexical_detection", "query": "beth", "prompt": "When the utterance is complete, report all instances of the word \"beth\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0067", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0067.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0028.flac", "task_type": "lexical_detection", "query": "fifteen", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"fifteen\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0021.flac", "task_type": "lexical_detection", "query": "laid", "prompt": "After listening to the whole recording, output every instance of the word \"laid\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0010.flac", "task_type": "lexical_detection", "query": "fairly", "prompt": "When the utterance is complete, report all instances of the word \"fairly\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0003.flac", "task_type": "lexical_detection", "query": "feeling", "prompt": "After listening to the whole recording, output every instance of the word \"feeling\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0004.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "When the utterance is complete, report all instances of an animal name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0024.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After the audio ends, extract all occurrences of a family relation. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0009.flac", "task_type": "semantic_counting", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a date (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0002.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0059", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0059.flac", "task_type": "lexical_detection", "query": "london", "prompt": "When the utterance is complete, report all instances of the word \"london\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0021.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen carefully to the entire clip, then report every instance of a person's name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0014.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0001.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0024.flac", "task_type": "lexical_detection", "query": "bringing", "prompt": "After the audio ends, extract all occurrences of the word \"bringing\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0019.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen carefully to the entire clip, then report every instance of a plant name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0030.flac", "task_type": "lexical_detection", "query": "governor", "prompt": "When the utterance is complete, report all instances of the word \"governor\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0031.flac", "task_type": "semantic_counting", "query": "color", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a color name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0016.flac", "task_type": "lexical_detection", "query": "laughed", "prompt": "Once the audio has finished, identify every instance of the word \"laughed\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0012.flac", "task_type": "lexical_detection", "query": "grown", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"grown\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0050.flac", "task_type": "lexical_detection", "query": "anna", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"anna\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0054.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After listening to the whole recording, output every instance of a country name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0021.flac", "task_type": "lexical_detection", "query": "news", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"news\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0026.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0040.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0009.flac", "task_type": "lexical_detection", "query": "writing", "prompt": "After listening to the whole recording, output every instance of the word \"writing\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0003.flac", "task_type": "lexical_detection", "query": "wise", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"wise\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0015.flac", "task_type": "lexical_detection", "query": "gold", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"gold\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0003.flac", "task_type": "lexical_detection", "query": "foolish", "prompt": "Process the full audio offline. Find every instance of the word \"foolish\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0032.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0021.flac", "task_type": "lexical_counting", "query": "watchful", "prompt": "After listening to the whole recording, output timed count words for the word \"watchful\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0025.flac", "task_type": "lexical_detection", "query": "laugh", "prompt": "After listening to the whole recording, output every instance of the word \"laugh\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0020.flac", "task_type": "lexical_detection", "query": "sun", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"sun\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0030.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0000.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a family relation with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0044.flac", "task_type": "lexical_detection", "query": "company", "prompt": "After listening to the whole recording, output every instance of the word \"company\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0021.flac", "task_type": "lexical_detection", "query": "appeal", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"appeal\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0032.flac", "task_type": "lexical_detection", "query": "listened", "prompt": "After listening to the whole recording, output every instance of the word \"listened\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0005.flac", "task_type": "lexical_detection", "query": "idol", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"idol\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0050.flac", "task_type": "lexical_detection", "query": "emotion", "prompt": "After the audio ends, extract all occurrences of the word \"emotion\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0039.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After listening to the whole recording, output every instance of a weather term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0043.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen carefully to the entire clip, then report every instance of a food name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0012.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0047.flac", "task_type": "lexical_detection", "query": "obliged", "prompt": "After the audio ends, extract all occurrences of the word \"obliged\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0011.flac", "task_type": "lexical_counting", "query": "hints", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"hints\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0038.flac", "task_type": "lexical_detection", "query": "range", "prompt": "After listening to the whole recording, output every instance of the word \"range\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0000.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Once the audio has finished, identify every instance of a person's name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0033.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0004.flac", "task_type": "lexical_detection", "query": "learned", "prompt": "Once the audio has finished, identify every instance of the word \"learned\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0016.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0003.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0005.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0060", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0060.flac", "task_type": "lexical_detection", "query": "sky", "prompt": "After listening to the whole recording, output every instance of the word \"sky\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0009.flac", "task_type": "lexical_detection", "query": "ruby", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"ruby\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0055.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Process the full audio offline. Find every instance of an organization name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0084", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0084.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0016.flac", "task_type": "lexical_detection", "query": "gate", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"gate\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0010.flac", "task_type": "semantic_counting", "query": "cardinal", "prompt": "Once the audio has finished, list each occurrence of a number as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0003.flac", "task_type": "lexical_detection", "query": "image", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"image\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0009.flac", "task_type": "lexical_detection", "query": "sisters", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"sisters\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0020.flac", "task_type": "lexical_detection", "query": "beginning", "prompt": "After the audio ends, extract all occurrences of the word \"beginning\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0047.flac", "task_type": "lexical_detection", "query": "pray", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"pray\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0030.flac", "task_type": "lexical_detection", "query": "procession", "prompt": "After listening to the whole recording, output every instance of the word \"procession\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0027.flac", "task_type": "lexical_detection", "query": "necessity", "prompt": "Once the audio has finished, identify every instance of the word \"necessity\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0018.flac", "task_type": "lexical_detection", "query": "respect", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"respect\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0015.flac", "task_type": "lexical_detection", "query": "tea", "prompt": "Once the audio has finished, identify every instance of the word \"tea\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0006.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0034.flac", "task_type": "lexical_detection", "query": "debt", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"debt\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0035.flac", "task_type": "lexical_detection", "query": "baby", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"baby\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0001.flac", "task_type": "lexical_detection", "query": "plans", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"plans\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0011.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0009.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a person's name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0018.flac", "task_type": "semantic_detection", "query": "country", "prompt": "When the utterance is complete, report all instances of a country name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0001.flac", "task_type": "lexical_detection", "query": "act", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"act\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0037.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0005.flac", "task_type": "lexical_detection", "query": "opportunity", "prompt": "Process the full audio offline. Find every instance of the word \"opportunity\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0042.flac", "task_type": "lexical_detection", "query": "ago", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"ago\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0006.flac", "task_type": "lexical_detection", "query": "path", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"path\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0001.flac", "task_type": "lexical_detection", "query": "prison", "prompt": "Once the audio has finished, identify every instance of the word \"prison\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0078", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0078.flac", "task_type": "lexical_detection", "query": "inches", "prompt": "Process the full audio offline. Find every instance of the word \"inches\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0021.flac", "task_type": "lexical_detection", "query": "pathetic", "prompt": "After listening to the whole recording, output every instance of the word \"pathetic\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0029.flac", "task_type": "lexical_detection", "query": "force", "prompt": "Process the full audio offline. Find every instance of the word \"force\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0008.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Once the audio has finished, identify every instance of a state or province name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0006.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0017.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Once the audio has finished, identify every instance of a country name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0018.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0016.flac", "task_type": "lexical_counting", "query": "managed", "prompt": "Listen to the full audio. Count every occurrence of the word \"managed\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0015.flac", "task_type": "lexical_detection", "query": "myth", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"myth\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0008.flac", "task_type": "lexical_detection", "query": "greater", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"greater\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0009.flac", "task_type": "lexical_detection", "query": "dorothy", "prompt": "When the utterance is complete, report all instances of the word \"dorothy\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0000.flac", "task_type": "lexical_counting", "query": "legs", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"legs\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0017.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen carefully to the entire clip, then report every instance of a country name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0003.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0047.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0006.flac", "task_type": "lexical_detection", "query": "remained", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"remained\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0006.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the full audio. After it finishes, find every instance of a money or currency term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0002.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0009.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0028.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0030.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0024.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0048.flac", "task_type": "lexical_detection", "query": "mistake", "prompt": "Process the full audio offline. Find every instance of the word \"mistake\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0006.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, list every instance of a weather term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0039.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen carefully to the entire clip, then report every instance of a person's name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0004.flac", "task_type": "semantic_detection", "query": "country", "prompt": "You will hear a complete utterance. When it ends, list every instance of a country name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0001.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0000.flac", "task_type": "lexical_detection", "query": "chair", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"chair\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0017.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0015.flac", "task_type": "semantic_counting", "query": "body_part", "prompt": "After the audio ends, tally every instance of a body part. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0011.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0005.flac", "task_type": "lexical_detection", "query": "broken", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"broken\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0021.flac", "task_type": "lexical_counting", "query": "ladyship", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"ladyship\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0022.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0023.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0061", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0061.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0010.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0008.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0005.flac", "task_type": "lexical_detection", "query": "allen", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"allen\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0077", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0077.flac", "task_type": "lexical_detection", "query": "lose", "prompt": "After listening to the whole recording, output every instance of the word \"lose\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0010.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0000.flac", "task_type": "lexical_detection", "query": "stupid", "prompt": "Process the full audio offline. Find every instance of the word \"stupid\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0031.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After listening to the whole recording, output every instance of a city name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0003.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0015.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0019.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After the audio ends, extract all occurrences of a weather term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0007.flac", "task_type": "lexical_detection", "query": "ways", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"ways\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0015.flac", "task_type": "semantic_counting", "query": "money", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a money or currency term with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0021.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0032.flac", "task_type": "lexical_detection", "query": "england", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"england\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0029.flac", "task_type": "lexical_detection", "query": "account", "prompt": "When the utterance is complete, report all instances of the word \"account\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0008.flac", "task_type": "lexical_detection", "query": "nobody", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"nobody\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0017.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0010.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen carefully to the entire clip, then report every instance of a number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0006.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Do not answer until the audio ends. Then list each instance of a profession as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0000.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0016.flac", "task_type": "lexical_detection", "query": "ned", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"ned\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0003.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0000.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Listen to the full audio. Count every occurrence of a state or province name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0008.flac", "task_type": "lexical_detection", "query": "crowd", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"crowd\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0008.flac", "task_type": "lexical_counting", "query": "silent", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"silent\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0030.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0032.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Once the audio has finished, identify every instance of a weather term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0013.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0030.flac", "task_type": "lexical_detection", "query": "second", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"second\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0018.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0082", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0082.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an animal name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0011.flac", "task_type": "lexical_detection", "query": "settled", "prompt": "After listening to the whole recording, output every instance of the word \"settled\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0053.flac", "task_type": "lexical_detection", "query": "form", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"form\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0002.flac", "task_type": "lexical_detection", "query": "monsieur", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"monsieur\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0013.flac", "task_type": "lexical_detection", "query": "he'd", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"he'd\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0014.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0018.flac", "task_type": "lexical_detection", "query": "retorted", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"retorted\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0070", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0070.flac", "task_type": "lexical_detection", "query": "jason", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"jason\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0016.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Process the full audio offline. Find every instance of a time of day and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0000.flac", "task_type": "lexical_detection", "query": "likely", "prompt": "After the audio ends, extract all occurrences of the word \"likely\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0004.flac", "task_type": "semantic_counting", "query": "money", "prompt": "Listen to the full audio. Count every occurrence of a money or currency term. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0002.flac", "task_type": "lexical_detection", "query": "science", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"science\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0024.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0004.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0021.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0048.flac", "task_type": "lexical_counting", "query": "clean", "prompt": "Listen to the entire clip, then report the count sequence for the word \"clean\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0003.flac", "task_type": "lexical_detection", "query": "begun", "prompt": "After listening to the whole recording, output every instance of the word \"begun\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0026.flac", "task_type": "semantic_counting", "query": "city", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a city name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0005.flac", "task_type": "lexical_detection", "query": "underworld", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"underworld\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0000.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "When the utterance is complete, report all instances of a state or province name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0032.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After listening to the whole recording, output every instance of a country name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0013.flac", "task_type": "lexical_detection", "query": "they're", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"they're\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0014.flac", "task_type": "lexical_detection", "query": "restless", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"restless\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0022.flac", "task_type": "lexical_detection", "query": "hardly", "prompt": "After the audio ends, extract all occurrences of the word \"hardly\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0055.flac", "task_type": "semantic_detection", "query": "country", "prompt": "When the utterance is complete, report all instances of a country name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0002.flac", "task_type": "lexical_detection", "query": "beings", "prompt": "When the utterance is complete, report all instances of the word \"beings\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0005.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0009.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After the audio ends, extract all occurrences of a person's name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0009.flac", "task_type": "lexical_detection", "query": "former", "prompt": "After listening to the whole recording, output every instance of the word \"former\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0017.flac", "task_type": "lexical_detection", "query": "boys", "prompt": "After listening to the whole recording, output every instance of the word \"boys\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0008.flac", "task_type": "lexical_detection", "query": "closed", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"closed\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0019.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the full audio. After it finishes, find every instance of an animal name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0013.flac", "task_type": "lexical_detection", "query": "looks", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"looks\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0022.flac", "task_type": "lexical_detection", "query": "unable", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"unable\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0083", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0083.flac", "task_type": "lexical_detection", "query": "ceased", "prompt": "After listening to the whole recording, output every instance of the word \"ceased\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0026.flac", "task_type": "lexical_detection", "query": "gathered", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"gathered\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0019.flac", "task_type": "lexical_detection", "query": "shore", "prompt": "Once the audio has finished, identify every instance of the word \"shore\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0005.flac", "task_type": "lexical_counting", "query": "written", "prompt": "Listen to the full audio. Count every occurrence of the word \"written\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0034.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0052.flac", "task_type": "lexical_detection", "query": "happen", "prompt": "When the utterance is complete, report all instances of the word \"happen\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0004.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0015.flac", "task_type": "lexical_detection", "query": "sing", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"sing\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0008.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Once the audio has finished, identify every instance of a state or province name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0062", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0062.flac", "task_type": "lexical_detection", "query": "third", "prompt": "Once the audio has finished, identify every instance of the word \"third\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0048.flac", "task_type": "lexical_detection", "query": "frame", "prompt": "When the utterance is complete, report all instances of the word \"frame\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0021.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Once the audio has finished, identify every instance of a city name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0025.flac", "task_type": "lexical_detection", "query": "bull", "prompt": "Once the audio has finished, identify every instance of the word \"bull\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0005.flac", "task_type": "lexical_detection", "query": "natural", "prompt": "When the utterance is complete, report all instances of the word \"natural\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0019.flac", "task_type": "lexical_detection", "query": "important", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"important\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0004.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0000.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0036.flac", "task_type": "semantic_counting", "query": "cardinal", "prompt": "Listen to the entire clip, then report the count sequence for a number as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0002.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0006.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0018.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After listening to the whole recording, output every instance of a plant name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0027.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0014.flac", "task_type": "lexical_counting", "query": "snow", "prompt": "After the audio ends, tally every instance of the word \"snow\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0005.flac", "task_type": "lexical_detection", "query": "suffer", "prompt": "Process the full audio offline. Find every instance of the word \"suffer\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0000.flac", "task_type": "lexical_counting", "query": "simple", "prompt": "Listen to the full audio. Count every occurrence of the word \"simple\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0003.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0003.flac", "task_type": "lexical_detection", "query": "quest", "prompt": "After the audio ends, extract all occurrences of the word \"quest\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0014.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen carefully to the entire clip, then report every instance of an animal name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0031.flac", "task_type": "lexical_detection", "query": "along", "prompt": "After the audio ends, extract all occurrences of the word \"along\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0002.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a family relation (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0025.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0046.flac", "task_type": "lexical_detection", "query": "attribute", "prompt": "When the utterance is complete, report all instances of the word \"attribute\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0023.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0014.flac", "task_type": "lexical_detection", "query": "knowing", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"knowing\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0057", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0057.flac", "task_type": "lexical_detection", "query": "allan", "prompt": "Process the full audio offline. Find every instance of the word \"allan\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0018.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0070", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0070.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0015.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0058.flac", "task_type": "lexical_detection", "query": "political", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"political\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0002.flac", "task_type": "lexical_detection", "query": "breast", "prompt": "Once the audio has finished, identify every instance of the word \"breast\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0017.flac", "task_type": "lexical_detection", "query": "thoughts", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"thoughts\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0030.flac", "task_type": "lexical_detection", "query": "knows", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"knows\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0013.flac", "task_type": "lexical_counting", "query": "steps", "prompt": "After listening to the whole recording, output timed count words for the word \"steps\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0045.flac", "task_type": "lexical_detection", "query": "straight", "prompt": "When the utterance is complete, report all instances of the word \"straight\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0076", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0076.flac", "task_type": "lexical_detection", "query": "countess", "prompt": "After the audio ends, extract all occurrences of the word \"countess\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0012.flac", "task_type": "lexical_counting", "query": "sam", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"sam\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0011.flac", "task_type": "lexical_detection", "query": "strange", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"strange\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0052.flac", "task_type": "lexical_detection", "query": "doris", "prompt": "When the utterance is complete, report all instances of the word \"doris\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0011.flac", "task_type": "lexical_detection", "query": "lot", "prompt": "After the audio ends, extract all occurrences of the word \"lot\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0019.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0043.flac", "task_type": "lexical_counting", "query": "difficult", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"difficult\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0083", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0083.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0002.flac", "task_type": "lexical_detection", "query": "earth", "prompt": "After listening to the whole recording, output every instance of the word \"earth\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0006.flac", "task_type": "lexical_detection", "query": "months", "prompt": "After listening to the whole recording, output every instance of the word \"months\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0019.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0010.flac", "task_type": "lexical_detection", "query": "fight", "prompt": "Once the audio has finished, identify every instance of the word \"fight\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0007.flac", "task_type": "lexical_detection", "query": "coat", "prompt": "After listening to the whole recording, output every instance of the word \"coat\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0035.flac", "task_type": "lexical_detection", "query": "smiling", "prompt": "Process the full audio offline. Find every instance of the word \"smiling\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0006.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Once the audio has finished, identify every instance of a food name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0003.flac", "task_type": "lexical_detection", "query": "gained", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"gained\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0039.flac", "task_type": "lexical_detection", "query": "engine", "prompt": "After the audio ends, extract all occurrences of the word \"engine\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0021.flac", "task_type": "lexical_detection", "query": "friendly", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"friendly\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0033.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Once the audio has finished, identify every instance of a state or province name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0009.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0033.flac", "task_type": "lexical_detection", "query": "art", "prompt": "Once the audio has finished, identify every instance of the word \"art\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0048.flac", "task_type": "lexical_detection", "query": "conscience", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"conscience\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0033.flac", "task_type": "lexical_detection", "query": "proved", "prompt": "Process the full audio offline. Find every instance of the word \"proved\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0018.flac", "task_type": "lexical_detection", "query": "church", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"church\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0015.flac", "task_type": "lexical_detection", "query": "lucia", "prompt": "After listening to the whole recording, output every instance of the word \"lucia\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0021.flac", "task_type": "lexical_detection", "query": "beside", "prompt": "After the audio ends, extract all occurrences of the word \"beside\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0024.flac", "task_type": "lexical_detection", "query": "mist", "prompt": "When the utterance is complete, report all instances of the word \"mist\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0023.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0019.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After listening to the whole recording, output every instance of a weather term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0043.flac", "task_type": "lexical_detection", "query": "body", "prompt": "Once the audio has finished, identify every instance of the word \"body\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0010.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0021.flac", "task_type": "lexical_counting", "query": "whatever", "prompt": "When the utterance is complete, report how the word \"whatever\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0024.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen carefully to the entire clip, then report every instance of a time of day as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0027.flac", "task_type": "lexical_detection", "query": "streets", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"streets\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0023.flac", "task_type": "lexical_detection", "query": "fault", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"fault\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0046.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0021.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0107", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0107.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Process the full audio offline. Find every instance of a money or currency term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0003.flac", "task_type": "lexical_counting", "query": "board", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"board\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0010.flac", "task_type": "lexical_detection", "query": "enemy", "prompt": "After listening to the whole recording, output every instance of the word \"enemy\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0053.flac", "task_type": "lexical_detection", "query": "shelter", "prompt": "When the utterance is complete, report all instances of the word \"shelter\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0008.flac", "task_type": "lexical_counting", "query": "longer", "prompt": "Once the audio has finished, list each occurrence of the word \"longer\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0013.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0017.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0032.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0019.flac", "task_type": "lexical_detection", "query": "pressed", "prompt": "After listening to the whole recording, output every instance of the word \"pressed\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0037.flac", "task_type": "semantic_counting", "query": "cardinal", "prompt": "After listening to the whole recording, output timed count words for a number (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0053.flac", "task_type": "lexical_detection", "query": "evidently", "prompt": "After the audio ends, extract all occurrences of the word \"evidently\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0014.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Process the full audio offline. Find every instance of an organization name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0010.flac", "task_type": "lexical_detection", "query": "seat", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"seat\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0018.flac", "task_type": "lexical_detection", "query": "besides", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"besides\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0011.flac", "task_type": "lexical_detection", "query": "point", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"point\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0012.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0041.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0002.flac", "task_type": "lexical_detection", "query": "tender", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"tender\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0009.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0021.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0003.flac", "task_type": "lexical_detection", "query": "guenever", "prompt": "When the utterance is complete, report all instances of the word \"guenever\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0030.flac", "task_type": "lexical_detection", "query": "raoul", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"raoul\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0010.flac", "task_type": "lexical_detection", "query": "queen", "prompt": "Once the audio has finished, identify every instance of the word \"queen\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0041.flac", "task_type": "lexical_detection", "query": "poverty", "prompt": "Once the audio has finished, identify every instance of the word \"poverty\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0003.flac", "task_type": "lexical_counting", "query": "floor", "prompt": "When the utterance is complete, report how the word \"floor\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0007.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen carefully to the entire clip, then report every instance of a body part as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0006.flac", "task_type": "lexical_detection", "query": "changed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"changed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0007.flac", "task_type": "lexical_detection", "query": "danger", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"danger\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0013.flac", "task_type": "lexical_detection", "query": "shown", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"shown\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0010.flac", "task_type": "lexical_counting", "query": "particular", "prompt": "After listening to the whole recording, output timed count words for the word \"particular\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0012.flac", "task_type": "lexical_detection", "query": "sigh", "prompt": "After listening to the whole recording, output every instance of the word \"sigh\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0015.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0029.flac", "task_type": "lexical_detection", "query": "late", "prompt": "Process the full audio offline. Find every instance of the word \"late\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0001.flac", "task_type": "lexical_detection", "query": "seventeen", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"seventeen\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0029.flac", "task_type": "lexical_detection", "query": "remarked", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"remarked\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0015.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0006.flac", "task_type": "lexical_detection", "query": "pen", "prompt": "Once the audio has finished, identify every instance of the word \"pen\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0040.flac", "task_type": "lexical_detection", "query": "wild", "prompt": "When the utterance is complete, report all instances of the word \"wild\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0030.flac", "task_type": "lexical_detection", "query": "golden", "prompt": "After listening to the whole recording, output every instance of the word \"golden\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0001.flac", "task_type": "lexical_detection", "query": "notice", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"notice\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0009.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0013.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0016.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Do not answer until the audio ends. Then list each instance of an animal name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0013.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0028.flac", "task_type": "lexical_detection", "query": "office", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"office\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0031.flac", "task_type": "lexical_detection", "query": "wicked", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"wicked\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0010.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245715-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245715/7697-245715-0003.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0002.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Once the audio has finished, identify every instance of a country name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0019.flac", "task_type": "lexical_counting", "query": "wagon", "prompt": "Listen to the full audio. Count every occurrence of the word \"wagon\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0012.flac", "task_type": "lexical_detection", "query": "listen", "prompt": "When the utterance is complete, report all instances of the word \"listen\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0045.flac", "task_type": "lexical_detection", "query": "consciousness", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"consciousness\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0036.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an ordinal number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0012.flac", "task_type": "lexical_detection", "query": "satisfaction", "prompt": "After listening to the whole recording, output every instance of the word \"satisfaction\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0012.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Do not answer until the audio ends. Then list each instance of an animal name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0007.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After listening to the whole recording, output every instance of a number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0033.flac", "task_type": "lexical_detection", "query": "history", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"history\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0013.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After listening to the whole recording, output every instance of a city name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0034.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Once the audio has finished, identify every instance of a weather term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0008.flac", "task_type": "lexical_detection", "query": "servants", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"servants\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0020.flac", "task_type": "lexical_detection", "query": "arrived", "prompt": "Process the full audio offline. Find every instance of the word \"arrived\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0012.flac", "task_type": "lexical_detection", "query": "nose", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"nose\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0031.flac", "task_type": "lexical_detection", "query": "bell", "prompt": "After listening to the whole recording, output every instance of the word \"bell\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0000.flac", "task_type": "lexical_detection", "query": "accepted", "prompt": "After the audio ends, extract all occurrences of the word \"accepted\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0014.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Do not answer until the audio ends. Then list each instance of a person's name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0015.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After listening to the whole recording, output every instance of a city name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0039.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a family relation with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0024.flac", "task_type": "lexical_detection", "query": "journey", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"journey\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0086", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0086.flac", "task_type": "lexical_detection", "query": "saved", "prompt": "After listening to the whole recording, output every instance of the word \"saved\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0003.flac", "task_type": "lexical_detection", "query": "elephant", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"elephant\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0049.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0056", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0056.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0009.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen carefully to the entire clip, then report every instance of a profession as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0052.flac", "task_type": "lexical_detection", "query": "dark", "prompt": "When the utterance is complete, report all instances of the word \"dark\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0032.flac", "task_type": "lexical_detection", "query": "early", "prompt": "Once the audio has finished, identify every instance of the word \"early\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0006.flac", "task_type": "lexical_detection", "query": "alas", "prompt": "After the audio ends, extract all occurrences of the word \"alas\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0008.flac", "task_type": "lexical_detection", "query": "cast", "prompt": "Process the full audio offline. Find every instance of the word \"cast\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0022.flac", "task_type": "lexical_detection", "query": "somewhat", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"somewhat\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0011.flac", "task_type": "lexical_detection", "query": "elaine", "prompt": "Once the audio has finished, identify every instance of the word \"elaine\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0005.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0004.flac", "task_type": "semantic_counting", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a color name (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0028.flac", "task_type": "lexical_detection", "query": "york", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"york\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0011.flac", "task_type": "lexical_detection", "query": "gods", "prompt": "After listening to the whole recording, output every instance of the word \"gods\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0015.flac", "task_type": "lexical_detection", "query": "speech", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"speech\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0003.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0042.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0066", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0066.flac", "task_type": "lexical_detection", "query": "alive", "prompt": "Process the full audio offline. Find every instance of the word \"alive\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0013.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0003.flac", "task_type": "lexical_detection", "query": "wonder", "prompt": "Once the audio has finished, identify every instance of the word \"wonder\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0000.flac", "task_type": "lexical_detection", "query": "boat", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"boat\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0004.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0009.flac", "task_type": "lexical_detection", "query": "spoken", "prompt": "After listening to the whole recording, output every instance of the word \"spoken\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0036.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0033.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0003.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then list each instance of a state or province name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0017.flac", "task_type": "semantic_detection", "query": "food", "prompt": "You will hear a complete utterance. When it ends, list every instance of a food name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0011.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a plant name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0000.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an animal name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0005.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a disease name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0004.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0013.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0008.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0001.flac", "task_type": "lexical_detection", "query": "eye", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"eye\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0030.flac", "task_type": "lexical_detection", "query": "twice", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"twice\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0057", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0057.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0001.flac", "task_type": "lexical_detection", "query": "court", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"court\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0021.flac", "task_type": "lexical_detection", "query": "dinner", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"dinner\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0005.flac", "task_type": "lexical_detection", "query": "fall", "prompt": "After the audio ends, extract all occurrences of the word \"fall\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0000.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0023.flac", "task_type": "lexical_detection", "query": "sees", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"sees\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0013.flac", "task_type": "lexical_detection", "query": "vain", "prompt": "Once the audio has finished, identify every instance of the word \"vain\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0008.flac", "task_type": "lexical_detection", "query": "easily", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"easily\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0038.flac", "task_type": "lexical_detection", "query": "nan", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"nan\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0023.flac", "task_type": "lexical_detection", "query": "anxious", "prompt": "When the utterance is complete, report all instances of the word \"anxious\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0022.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0036.flac", "task_type": "lexical_counting", "query": "holding", "prompt": "Process the full audio offline. For every occurrence of the word \"holding\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0008.flac", "task_type": "lexical_detection", "query": "showed", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"showed\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0038.flac", "task_type": "lexical_detection", "query": "strength", "prompt": "When the utterance is complete, report all instances of the word \"strength\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0010.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen carefully to the entire clip, then report every instance of a time of day as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0002.flac", "task_type": "lexical_detection", "query": "grandpapa", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"grandpapa\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0102", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0102.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0008.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0014.flac", "task_type": "lexical_detection", "query": "slowly", "prompt": "When the utterance is complete, report all instances of the word \"slowly\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0001.flac", "task_type": "lexical_detection", "query": "bit", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"bit\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0018.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0035.flac", "task_type": "lexical_detection", "query": "believed", "prompt": "Once the audio has finished, identify every instance of the word \"believed\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0032.flac", "task_type": "lexical_detection", "query": "united", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"united\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0030.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0044.flac", "task_type": "lexical_detection", "query": "sixty", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"sixty\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0009.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0054.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0006.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0010.flac", "task_type": "lexical_detection", "query": "music", "prompt": "After listening to the whole recording, output every instance of the word \"music\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0027.flac", "task_type": "lexical_counting", "query": "letters", "prompt": "After the audio ends, tally every instance of the word \"letters\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0005.flac", "task_type": "lexical_detection", "query": "mount", "prompt": "After listening to the whole recording, output every instance of the word \"mount\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0047.flac", "task_type": "lexical_detection", "query": "serve", "prompt": "After the audio ends, extract all occurrences of the word \"serve\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0031.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the full audio. After it finishes, find every instance of an ordinal number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0025.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a plant name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0019.flac", "task_type": "lexical_detection", "query": "beat", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"beat\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0012.flac", "task_type": "lexical_detection", "query": "palace", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"palace\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0000.flac", "task_type": "lexical_detection", "query": "several", "prompt": "Process the full audio offline. Find every instance of the word \"several\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0003.flac", "task_type": "lexical_detection", "query": "guess", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"guess\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0040.flac", "task_type": "lexical_detection", "query": "worse", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"worse\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0006.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Process the full audio offline. Find every instance of a color name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0011.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0019.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0018.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0001.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a profession: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0014.flac", "task_type": "lexical_detection", "query": "i'd", "prompt": "After the audio ends, extract all occurrences of the word \"i'd\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0040.flac", "task_type": "lexical_counting", "query": "slept", "prompt": "After the audio ends, tally every instance of the word \"slept\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0015.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0016.flac", "task_type": "lexical_detection", "query": "nearly", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"nearly\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0019.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0005.flac", "task_type": "lexical_detection", "query": "demanded", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"demanded\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0030.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After listening to the whole recording, output every instance of a state or province name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0049.flac", "task_type": "lexical_detection", "query": "result", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"result\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0001.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0012.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0038.flac", "task_type": "lexical_detection", "query": "raymond", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"raymond\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0008.flac", "task_type": "lexical_detection", "query": "you'll", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"you'll\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0012.flac", "task_type": "lexical_detection", "query": "laughter", "prompt": "Once the audio has finished, identify every instance of the word \"laughter\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0073", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0073.flac", "task_type": "lexical_counting", "query": "stay", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"stay\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0006.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0005.flac", "task_type": "lexical_detection", "query": "carried", "prompt": "After the audio ends, extract all occurrences of the word \"carried\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0026.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0024.flac", "task_type": "lexical_detection", "query": "anyone", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"anyone\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0054.flac", "task_type": "lexical_detection", "query": "absolute", "prompt": "When the utterance is complete, report all instances of the word \"absolute\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0031.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "When the utterance is complete, report all instances of a body part including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0002.flac", "task_type": "semantic_detection", "query": "date", "prompt": "You will hear a complete utterance. When it ends, list every instance of a date you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0041.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After the audio ends, extract all occurrences of a time of day. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0005.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0016.flac", "task_type": "lexical_detection", "query": "divine", "prompt": "After the audio ends, extract all occurrences of the word \"divine\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0112", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0112.flac", "task_type": "lexical_detection", "query": "expression", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"expression\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0015.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0007.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0041.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "When the utterance is complete, report all instances of a state or province name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0065", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0065.flac", "task_type": "lexical_detection", "query": "sign", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"sign\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0028.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0027.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the full audio. After it finishes, find every instance of a money or currency term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0000.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Once the audio has finished, identify every instance of a money or currency term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0021.flac", "task_type": "lexical_detection", "query": "effort", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"effort\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0053.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0045.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0033.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0002.flac", "task_type": "lexical_detection", "query": "assembly", "prompt": "Once the audio has finished, identify every instance of the word \"assembly\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0003.flac", "task_type": "lexical_detection", "query": "everybody", "prompt": "After listening to the whole recording, output every instance of the word \"everybody\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0037.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0003.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "When the utterance is complete, report how a plant name accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0013.flac", "task_type": "lexical_detection", "query": "ordered", "prompt": "After listening to the whole recording, output every instance of the word \"ordered\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0038.flac", "task_type": "lexical_detection", "query": "usually", "prompt": "Process the full audio offline. Find every instance of the word \"usually\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0016.flac", "task_type": "lexical_detection", "query": "orders", "prompt": "Process the full audio offline. Find every instance of the word \"orders\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0014.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen carefully to the entire clip, then report every instance of a time of day as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0035.flac", "task_type": "lexical_detection", "query": "mark", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"mark\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0014.flac", "task_type": "lexical_detection", "query": "winter", "prompt": "After the audio ends, extract all occurrences of the word \"winter\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0007.flac", "task_type": "lexical_detection", "query": "charter", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"charter\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0006.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0044.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Once the audio has finished, identify every instance of a state or province name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0007.flac", "task_type": "lexical_detection", "query": "brave", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"brave\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0006.flac", "task_type": "lexical_detection", "query": "nice", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"nice\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0009.flac", "task_type": "lexical_counting", "query": "deal", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"deal\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0036.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0001.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "When the utterance is complete, report all instances of a weather term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0002.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0001.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Do not answer until the audio ends. Then list each instance of a food name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0008.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then list each instance of a number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0075", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0075.flac", "task_type": "lexical_detection", "query": "hold", "prompt": "When the utterance is complete, report all instances of the word \"hold\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0022.flac", "task_type": "lexical_detection", "query": "quick", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"quick\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0034.flac", "task_type": "lexical_detection", "query": "wrote", "prompt": "After the audio ends, extract all occurrences of the word \"wrote\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0044.flac", "task_type": "lexical_detection", "query": "continued", "prompt": "After the audio ends, extract all occurrences of the word \"continued\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0022.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Once the audio has finished, identify every instance of a city name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0036.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After listening to the whole recording, output every instance of a money or currency term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0032.flac", "task_type": "lexical_detection", "query": "unto", "prompt": "Once the audio has finished, identify every instance of the word \"unto\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0007.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0019.flac", "task_type": "lexical_detection", "query": "attention", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"attention\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0032.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0035.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0013.flac", "task_type": "lexical_detection", "query": "shape", "prompt": "Process the full audio offline. Find every instance of the word \"shape\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0010.flac", "task_type": "lexical_detection", "query": "pay", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"pay\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0004.flac", "task_type": "lexical_detection", "query": "regular", "prompt": "When the utterance is complete, report all instances of the word \"regular\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0037.flac", "task_type": "lexical_detection", "query": "storm", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"storm\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0014.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen carefully to the entire clip, then report every instance of a number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0035.flac", "task_type": "lexical_detection", "query": "sonya", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"sonya\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0010.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0020.flac", "task_type": "lexical_detection", "query": "shut", "prompt": "After the audio ends, extract all occurrences of the word \"shut\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0005.flac", "task_type": "semantic_detection", "query": "city", "prompt": "When the utterance is complete, report all instances of a city name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0006.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0013.flac", "task_type": "lexical_detection", "query": "nellie", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"nellie\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0010.flac", "task_type": "lexical_detection", "query": "send", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"send\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0057", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0057.flac", "task_type": "lexical_detection", "query": "silence", "prompt": "When the utterance is complete, report all instances of the word \"silence\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0013.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0016.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "After listening to the whole recording, output every instance of a time of day with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0001.flac", "task_type": "lexical_detection", "query": "wouldn't", "prompt": "When the utterance is complete, report all instances of the word \"wouldn't\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0002.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0006.flac", "task_type": "lexical_detection", "query": "perfect", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"perfect\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0010.flac", "task_type": "lexical_detection", "query": "telling", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"telling\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0067", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0067.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Process the full audio offline. For every occurrence of a state or province name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0036.flac", "task_type": "lexical_detection", "query": "brandt", "prompt": "When the utterance is complete, report all instances of the word \"brandt\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0052.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Once the audio has finished, identify every instance of a body part. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0013.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After the audio ends, extract all occurrences of a body part. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0013.flac", "task_type": "lexical_detection", "query": "high", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"high\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0013.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0004.flac", "task_type": "lexical_detection", "query": "chamber", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"chamber\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0027.flac", "task_type": "lexical_counting", "query": "seeing", "prompt": "Listen to the full audio. Count every occurrence of the word \"seeing\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0002.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0010.flac", "task_type": "lexical_detection", "query": "drawing", "prompt": "Process the full audio offline. Find every instance of the word \"drawing\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0000.flac", "task_type": "lexical_detection", "query": "officers", "prompt": "After the audio ends, extract all occurrences of the word \"officers\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0049.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0010.flac", "task_type": "lexical_detection", "query": "hannah", "prompt": "Once the audio has finished, identify every instance of the word \"hannah\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0000.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0003.flac", "task_type": "lexical_counting", "query": "getting", "prompt": "Process the full audio offline. For every occurrence of the word \"getting\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0017.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0007.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Once the audio has finished, identify every instance of a color name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0030.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0015.flac", "task_type": "lexical_detection", "query": "wall", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"wall\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0000.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0035.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0011.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the full audio. After it finishes, find every instance of a profession. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0011.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After listening to the whole recording, output every instance of a number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0003.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After listening to the whole recording, output every instance of a money or currency term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0038.flac", "task_type": "lexical_detection", "query": "standing", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"standing\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0000.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "When the utterance is complete, report all instances of a plant name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0013.flac", "task_type": "lexical_detection", "query": "souls", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"souls\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0064", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0064.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0077", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0077.flac", "task_type": "lexical_detection", "query": "spite", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"spite\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0038.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Process the full audio offline. Find every instance of an organization name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0040.flac", "task_type": "lexical_detection", "query": "silver", "prompt": "After the audio ends, extract all occurrences of the word \"silver\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0001.flac", "task_type": "lexical_detection", "query": "wadsworth", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"wadsworth\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0016.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0006.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0045.flac", "task_type": "lexical_detection", "query": "green", "prompt": "Process the full audio offline. Find every instance of the word \"green\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0004.flac", "task_type": "lexical_detection", "query": "moral", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"moral\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0094", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0094.flac", "task_type": "lexical_detection", "query": "prepared", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"prepared\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0008.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0030.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0035.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0016.flac", "task_type": "lexical_detection", "query": "neck", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"neck\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0008.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0051.flac", "task_type": "lexical_detection", "query": "power", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"power\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0029.flac", "task_type": "lexical_detection", "query": "hardy", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"hardy\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0005.flac", "task_type": "lexical_detection", "query": "success", "prompt": "Process the full audio offline. Find every instance of the word \"success\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0033.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0024.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0026.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Process the full audio offline. Find every instance of a body part and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0027.flac", "task_type": "lexical_detection", "query": "despair", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"despair\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0030.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0021.flac", "task_type": "lexical_counting", "query": "further", "prompt": "After listening to the whole recording, output timed count words for the word \"further\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0011.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0025.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "When the utterance is complete, report all instances of a weather term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0000.flac", "task_type": "lexical_counting", "query": "edison", "prompt": "After listening to the whole recording, output timed count words for the word \"edison\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0021.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Do not answer until the audio ends. Then list each instance of a profession as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0007.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0016.flac", "task_type": "lexical_detection", "query": "front", "prompt": "Once the audio has finished, identify every instance of the word \"front\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0045.flac", "task_type": "lexical_counting", "query": "meeting", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"meeting\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0015.flac", "task_type": "lexical_detection", "query": "thinking", "prompt": "Once the audio has finished, identify every instance of the word \"thinking\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0020.flac", "task_type": "lexical_detection", "query": "wood", "prompt": "Process the full audio offline. Find every instance of the word \"wood\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0008.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Once the audio has finished, identify every instance of a food name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0002.flac", "task_type": "lexical_detection", "query": "else", "prompt": "When the utterance is complete, report all instances of the word \"else\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0001.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Once the audio has finished, identify every instance of a color name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0006.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0027.flac", "task_type": "lexical_detection", "query": "indians", "prompt": "Process the full audio offline. Find every instance of the word \"indians\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0011.flac", "task_type": "lexical_detection", "query": "certainly", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"certainly\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0006.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0007.flac", "task_type": "lexical_detection", "query": "surely", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"surely\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0003.flac", "task_type": "lexical_detection", "query": "pain", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"pain\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0030.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0049.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Process the full audio offline. Find every instance of a person's name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0029.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0043.flac", "task_type": "lexical_detection", "query": "drew", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"drew\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0025.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After listening to the whole recording, output every instance of a weather term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0023.flac", "task_type": "lexical_detection", "query": "contrary", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"contrary\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0009.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0000.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0015.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0010.flac", "task_type": "lexical_detection", "query": "middle", "prompt": "After listening to the whole recording, output every instance of the word \"middle\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0030.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the full audio. After it finishes, find every instance of a date. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0033.flac", "task_type": "lexical_detection", "query": "beyond", "prompt": "After the audio ends, extract all occurrences of the word \"beyond\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0022.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0016.flac", "task_type": "lexical_detection", "query": "whispered", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"whispered\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0033.flac", "task_type": "lexical_detection", "query": "bright", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"bright\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0105", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0105.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0000.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "Process the full audio offline. For every occurrence of an ordinal number, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0003.flac", "task_type": "lexical_detection", "query": "charles", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"charles\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0026.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0045.flac", "task_type": "lexical_detection", "query": "person", "prompt": "Process the full audio offline. Find every instance of the word \"person\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0008.flac", "task_type": "lexical_detection", "query": "impossible", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"impossible\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0028.flac", "task_type": "lexical_detection", "query": "homer", "prompt": "When the utterance is complete, report all instances of the word \"homer\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0077", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0077.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the full audio. After it finishes, find every instance of an ordinal number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0016.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0003.flac", "task_type": "lexical_detection", "query": "scarcely", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"scarcely\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0018.flac", "task_type": "lexical_detection", "query": "free", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"free\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0017.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0016.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0025.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0021.flac", "task_type": "lexical_detection", "query": "tree", "prompt": "After listening to the whole recording, output every instance of the word \"tree\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0000.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "After the audio ends, tally every instance of a plant name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0014.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen carefully to the entire clip, then report every instance of a family relation as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0011.flac", "task_type": "lexical_detection", "query": "cause", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"cause\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0001.flac", "task_type": "lexical_detection", "query": "tried", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"tried\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0007.flac", "task_type": "lexical_detection", "query": "thirty", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"thirty\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0017.flac", "task_type": "lexical_detection", "query": "lighting", "prompt": "When the utterance is complete, report all instances of the word \"lighting\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0016.flac", "task_type": "lexical_detection", "query": "quiet", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"quiet\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0010.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After the audio ends, extract all occurrences of a body part. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0013.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0024.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0009.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0014.flac", "task_type": "lexical_detection", "query": "book", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"book\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0021.flac", "task_type": "lexical_detection", "query": "angry", "prompt": "Process the full audio offline. Find every instance of the word \"angry\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0002.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0028.flac", "task_type": "lexical_detection", "query": "sitting", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"sitting\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0006.flac", "task_type": "lexical_detection", "query": "afterwards", "prompt": "After listening to the whole recording, output every instance of the word \"afterwards\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0021.flac", "task_type": "lexical_detection", "query": "rose", "prompt": "When the utterance is complete, report all instances of the word \"rose\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0018.flac", "task_type": "lexical_detection", "query": "itself", "prompt": "Process the full audio offline. Find every instance of the word \"itself\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0055.flac", "task_type": "lexical_detection", "query": "tired", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"tired\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0017.flac", "task_type": "lexical_detection", "query": "duke", "prompt": "After the audio ends, extract all occurrences of the word \"duke\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0037.flac", "task_type": "semantic_counting", "query": "money", "prompt": "After listening to the whole recording, output timed count words for a money or currency term (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0013.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Once the audio has finished, identify every instance of an animal name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0007.flac", "task_type": "lexical_detection", "query": "business", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"business\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0016.flac", "task_type": "lexical_detection", "query": "van", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"van\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0038.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Do not answer until the audio ends. Then list each instance of an ordinal number as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0006.flac", "task_type": "lexical_detection", "query": "deck", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"deck\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0001.flac", "task_type": "lexical_detection", "query": "sick", "prompt": "After the audio ends, extract all occurrences of the word \"sick\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0013.flac", "task_type": "lexical_detection", "query": "hall", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"hall\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0020.flac", "task_type": "lexical_detection", "query": "foot", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"foot\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0010.flac", "task_type": "lexical_detection", "query": "escape", "prompt": "After listening to the whole recording, output every instance of the word \"escape\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0032.flac", "task_type": "lexical_detection", "query": "blue", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"blue\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0013.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Listen to the full audio. Count every occurrence of a country name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0001.flac", "task_type": "lexical_detection", "query": "proper", "prompt": "Process the full audio offline. Find every instance of the word \"proper\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0002.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0042.flac", "task_type": "lexical_detection", "query": "hale", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"hale\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0007.flac", "task_type": "lexical_detection", "query": "met", "prompt": "Process the full audio offline. Find every instance of the word \"met\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0027.flac", "task_type": "lexical_detection", "query": "later", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"later\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0058.flac", "task_type": "lexical_detection", "query": "white", "prompt": "After the audio ends, extract all occurrences of the word \"white\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0020.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0007.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0087", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0087.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0030.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "You will hear a complete utterance. When it ends, list every instance of a weather term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0003.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0023.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen carefully to the entire clip, then report every instance of a time of day as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0020.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Do not answer until the audio ends. Then list each instance of a city name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0014.flac", "task_type": "lexical_detection", "query": "struck", "prompt": "Once the audio has finished, identify every instance of the word \"struck\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0000.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0003.flac", "task_type": "lexical_counting", "query": "slightly", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"slightly\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0014.flac", "task_type": "lexical_detection", "query": "evil", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"evil\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0008.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0003.flac", "task_type": "lexical_detection", "query": "outside", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"outside\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0014.flac", "task_type": "lexical_counting", "query": "affair", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"affair\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0000.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After listening to the whole recording, output every instance of a weather term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0021.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0032.flac", "task_type": "lexical_detection", "query": "waist", "prompt": "After the audio ends, extract all occurrences of the word \"waist\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0033.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0005.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0063", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0063.flac", "task_type": "lexical_detection", "query": "line", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"line\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0022.flac", "task_type": "lexical_detection", "query": "single", "prompt": "When the utterance is complete, report all instances of the word \"single\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0028.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0023.flac", "task_type": "lexical_detection", "query": "observed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"observed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0009.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After the audio ends, extract all occurrences of a money or currency term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0006.flac", "task_type": "semantic_detection", "query": "city", "prompt": "You will hear a complete utterance. When it ends, list every instance of a city name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0020.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an ordinal number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0013.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0014.flac", "task_type": "lexical_detection", "query": "presently", "prompt": "After the audio ends, extract all occurrences of the word \"presently\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0001.flac", "task_type": "lexical_detection", "query": "finished", "prompt": "Process the full audio offline. Find every instance of the word \"finished\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0032.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a disease name (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0035.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the full audio. After it finishes, find every instance of an ordinal number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0025.flac", "task_type": "semantic_detection", "query": "color", "prompt": "When the utterance is complete, report all instances of a color name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0021.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0009.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0012.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0018.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen carefully to the entire clip, then report every instance of a body part as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0000.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0001.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Once the audio has finished, identify every instance of a weather term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0025.flac", "task_type": "semantic_counting", "query": "organization", "prompt": "Once the audio has finished, list each occurrence of an organization name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0021.flac", "task_type": "lexical_detection", "query": "playing", "prompt": "Once the audio has finished, identify every instance of the word \"playing\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0009.flac", "task_type": "lexical_detection", "query": "happiness", "prompt": "After listening to the whole recording, output every instance of the word \"happiness\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0011.flac", "task_type": "lexical_counting", "query": "finally", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"finally\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0012.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0017.flac", "task_type": "lexical_detection", "query": "unless", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"unless\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0009.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "You will hear a complete utterance. When it ends, list every instance of a body part you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0003.flac", "task_type": "lexical_detection", "query": "william", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"william\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0014.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0020.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0032.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a body part with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0031.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0024.flac", "task_type": "lexical_detection", "query": "quickly", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"quickly\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0010.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "Listen to the full audio. Count every occurrence of a time of day. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0023.flac", "task_type": "lexical_detection", "query": "appeared", "prompt": "Process the full audio offline. Find every instance of the word \"appeared\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0028.flac", "task_type": "lexical_detection", "query": "step", "prompt": "Once the audio has finished, identify every instance of the word \"step\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0002.flac", "task_type": "lexical_detection", "query": "meet", "prompt": "Once the audio has finished, identify every instance of the word \"meet\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0007.flac", "task_type": "lexical_detection", "query": "please", "prompt": "After listening to the whole recording, output every instance of the word \"please\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0005.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0012.flac", "task_type": "lexical_detection", "query": "declared", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"declared\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0000.flac", "task_type": "lexical_detection", "query": "pride", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"pride\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0011.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a family relation with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0036.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0002.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0024.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Process the full audio offline. For every occurrence of a state or province name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0011.flac", "task_type": "lexical_counting", "query": "morrow", "prompt": "When the utterance is complete, report how the word \"morrow\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0035.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0046.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0000.flac", "task_type": "lexical_detection", "query": "calf", "prompt": "Process the full audio offline. Find every instance of the word \"calf\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0032.flac", "task_type": "lexical_detection", "query": "lips", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"lips\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0015.flac", "task_type": "lexical_detection", "query": "ladies", "prompt": "Process the full audio offline. Find every instance of the word \"ladies\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0003.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0036.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After the audio ends, extract all occurrences of a weather term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0026.flac", "task_type": "lexical_detection", "query": "conversation", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"conversation\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0012.flac", "task_type": "lexical_detection", "query": "following", "prompt": "Process the full audio offline. Find every instance of the word \"following\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0019.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0019.flac", "task_type": "lexical_detection", "query": "guards", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"guards\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0016.flac", "task_type": "lexical_detection", "query": "smoking", "prompt": "After the audio ends, extract all occurrences of the word \"smoking\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0051.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0001.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0021.flac", "task_type": "lexical_detection", "query": "pete", "prompt": "Once the audio has finished, identify every instance of the word \"pete\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0107", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0107.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "When the utterance is complete, report all instances of a profession including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0001.flac", "task_type": "lexical_detection", "query": "mastership", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"mastership\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0008.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen carefully to the entire clip, then report every instance of a city name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0026.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen carefully to the entire clip, then report every instance of a color name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0033.flac", "task_type": "semantic_detection", "query": "color", "prompt": "When the utterance is complete, report all instances of a color name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0006.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0036.flac", "task_type": "lexical_detection", "query": "game", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"game\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0016.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0020.flac", "task_type": "lexical_detection", "query": "different", "prompt": "After listening to the whole recording, output every instance of the word \"different\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0008.flac", "task_type": "lexical_detection", "query": "maiden", "prompt": "Process the full audio offline. Find every instance of the word \"maiden\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0002.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0035.flac", "task_type": "lexical_detection", "query": "none", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"none\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0026.flac", "task_type": "lexical_detection", "query": "sea", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"sea\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0006.flac", "task_type": "lexical_counting", "query": "comes", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"comes\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0034.flac", "task_type": "lexical_detection", "query": "whose", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"whose\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0040.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0022.flac", "task_type": "lexical_detection", "query": "marry", "prompt": "Once the audio has finished, identify every instance of the word \"marry\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0021.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0015.flac", "task_type": "lexical_detection", "query": "smiled", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"smiled\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0048.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0033.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0002.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "When the utterance is complete, report all instances of a person's name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0030.flac", "task_type": "lexical_detection", "query": "move", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"move\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0001.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0044.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0041.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0004.flac", "task_type": "semantic_counting", "query": "country", "prompt": "Process the full audio offline. For every occurrence of a country name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0026.flac", "task_type": "lexical_detection", "query": "beautiful", "prompt": "Process the full audio offline. Find every instance of the word \"beautiful\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0014.flac", "task_type": "lexical_detection", "query": "sad", "prompt": "When the utterance is complete, report all instances of the word \"sad\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0092", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0092.flac", "task_type": "lexical_detection", "query": "sympathy", "prompt": "Process the full audio offline. Find every instance of the word \"sympathy\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0024.flac", "task_type": "lexical_detection", "query": "heaven", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"heaven\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0010.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0005.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-62797-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/62797/6467-62797-0005.flac", "task_type": "semantic_detection", "query": "country", "prompt": "You will hear a complete utterance. When it ends, list every instance of a country name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0018.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a city name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0006.flac", "task_type": "lexical_detection", "query": "grave", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"grave\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0013.flac", "task_type": "lexical_detection", "query": "sound", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"sound\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0002.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0007.flac", "task_type": "lexical_detection", "query": "fate", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"fate\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0016.flac", "task_type": "lexical_detection", "query": "terrible", "prompt": "Process the full audio offline. Find every instance of the word \"terrible\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0015.flac", "task_type": "lexical_detection", "query": "question", "prompt": "After the audio ends, extract all occurrences of the word \"question\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0000.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0017.flac", "task_type": "lexical_detection", "query": "coffin", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"coffin\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0016.flac", "task_type": "lexical_detection", "query": "followed", "prompt": "After listening to the whole recording, output every instance of the word \"followed\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0020.flac", "task_type": "lexical_detection", "query": "effect", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"effect\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0027.flac", "task_type": "lexical_detection", "query": "doing", "prompt": "When the utterance is complete, report all instances of the word \"doing\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0019.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0007.flac", "task_type": "lexical_detection", "query": "toward", "prompt": "Process the full audio offline. Find every instance of the word \"toward\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0001.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Listen to the entire clip, then report the count sequence for a family relation as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0027.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Once the audio has finished, list each occurrence of a family relation as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0003.flac", "task_type": "lexical_detection", "query": "lives", "prompt": "When the utterance is complete, report all instances of the word \"lives\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0026.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen carefully to the entire clip, then report every instance of a food name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0029.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0013.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0036.flac", "task_type": "lexical_detection", "query": "run", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"run\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0018.flac", "task_type": "lexical_detection", "query": "bear", "prompt": "After the audio ends, extract all occurrences of the word \"bear\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0098", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0098.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Once the audio has finished, identify every instance of a color name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0001.flac", "task_type": "semantic_counting", "query": "person_name", "prompt": "Once the audio has finished, list each occurrence of a person's name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0047.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0023.flac", "task_type": "lexical_detection", "query": "evening", "prompt": "Process the full audio offline. Find every instance of the word \"evening\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0000.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0011.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Do not answer until the audio ends. Then list each instance of a color name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0004.flac", "task_type": "lexical_detection", "query": "repeated", "prompt": "Once the audio has finished, identify every instance of the word \"repeated\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0004.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the full audio. After it finishes, find every instance of an ordinal number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0006.flac", "task_type": "lexical_detection", "query": "least", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"least\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0020.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After the audio ends, extract all occurrences of an organization name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0004.flac", "task_type": "lexical_detection", "query": "coming", "prompt": "When the utterance is complete, report all instances of the word \"coming\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0010.flac", "task_type": "semantic_counting", "query": "body_part", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a body part: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0042.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0000.flac", "task_type": "lexical_detection", "query": "soul", "prompt": "After the audio ends, extract all occurrences of the word \"soul\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0037.flac", "task_type": "lexical_detection", "query": "road", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"road\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0039.flac", "task_type": "lexical_detection", "query": "priest", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"priest\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245715-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245715/7697-245715-0000.flac", "task_type": "lexical_detection", "query": "john", "prompt": "Once the audio has finished, identify every instance of the word \"john\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0007.flac", "task_type": "lexical_detection", "query": "born", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"born\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0040.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen carefully to the entire clip, then report every instance of a body part as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0007.flac", "task_type": "lexical_detection", "query": "forget", "prompt": "After listening to the whole recording, output every instance of the word \"forget\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0024.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0046.flac", "task_type": "lexical_detection", "query": "surprise", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"surprise\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0066", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0066.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0036.flac", "task_type": "lexical_counting", "query": "mine", "prompt": "Once the audio has finished, list each occurrence of the word \"mine\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0015.flac", "task_type": "lexical_detection", "query": "joy", "prompt": "Once the audio has finished, identify every instance of the word \"joy\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0035.flac", "task_type": "semantic_counting", "query": "food", "prompt": "After the audio ends, tally every instance of a food name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0017.flac", "task_type": "lexical_detection", "query": "army", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"army\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0032.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0019.flac", "task_type": "lexical_detection", "query": "rome", "prompt": "Process the full audio offline. Find every instance of the word \"rome\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0085", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0085.flac", "task_type": "lexical_detection", "query": "arthur", "prompt": "After listening to the whole recording, output every instance of the word \"arthur\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0031.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0003.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0014.flac", "task_type": "lexical_detection", "query": "street", "prompt": "After the audio ends, extract all occurrences of the word \"street\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0007.flac", "task_type": "lexical_detection", "query": "spirit", "prompt": "Once the audio has finished, identify every instance of the word \"spirit\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0040.flac", "task_type": "lexical_detection", "query": "bed", "prompt": "Process the full audio offline. Find every instance of the word \"bed\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0028.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an organization name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0002.flac", "task_type": "lexical_counting", "query": "human", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"human\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0001.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0007.flac", "task_type": "lexical_detection", "query": "dust", "prompt": "Once the audio has finished, identify every instance of the word \"dust\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0012.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a family relation with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0003.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Once the audio has finished, identify every instance of a money or currency term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0017.flac", "task_type": "lexical_detection", "query": "length", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"length\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0051.flac", "task_type": "lexical_detection", "query": "jasper", "prompt": "After the audio ends, extract all occurrences of the word \"jasper\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0041.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0035.flac", "task_type": "lexical_detection", "query": "yours", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"yours\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0010.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Do not answer until the audio ends. Then list each instance of an animal name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0008.flac", "task_type": "lexical_detection", "query": "during", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"during\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0026.flac", "task_type": "lexical_detection", "query": "sort", "prompt": "After the audio ends, extract all occurrences of the word \"sort\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0010.flac", "task_type": "lexical_detection", "query": "wrong", "prompt": "When the utterance is complete, report all instances of the word \"wrong\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0012.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0029.flac", "task_type": "lexical_detection", "query": "doctor", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"doctor\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0059", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0059.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a profession with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0010.flac", "task_type": "lexical_detection", "query": "end", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"end\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0010.flac", "task_type": "lexical_detection", "query": "moved", "prompt": "Once the audio has finished, identify every instance of the word \"moved\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0013.flac", "task_type": "lexical_detection", "query": "six", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"six\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0012.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0036.flac", "task_type": "lexical_detection", "query": "faith", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"faith\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0104", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0104.flac", "task_type": "lexical_detection", "query": "serious", "prompt": "Process the full audio offline. Find every instance of the word \"serious\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0007.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0091", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0091.flac", "task_type": "lexical_detection", "query": "boris", "prompt": "After listening to the whole recording, output every instance of the word \"boris\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0037.flac", "task_type": "semantic_detection", "query": "food", "prompt": "When the utterance is complete, report all instances of a food name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0016.flac", "task_type": "lexical_detection", "query": "means", "prompt": "After listening to the whole recording, output every instance of the word \"means\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0018.flac", "task_type": "lexical_counting", "query": "strong", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"strong\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0043.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0026.flac", "task_type": "lexical_counting", "query": "soldiers", "prompt": "Listen to the full audio. Count every occurrence of the word \"soldiers\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0017.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0014.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Process the full audio offline. Find every instance of a money or currency term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0010.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After the audio ends, extract all occurrences of a person's name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0030.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0011.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "Listen to the full audio. Count every occurrence of a profession. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0007.flac", "task_type": "lexical_detection", "query": "stand", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"stand\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0024.flac", "task_type": "lexical_counting", "query": "cut", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"cut\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0011.flac", "task_type": "lexical_detection", "query": "rostov", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"rostov\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0024.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "Listen to the entire clip, then report the count sequence for a time of day as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0085", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0085.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a profession with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0020.flac", "task_type": "lexical_detection", "query": "returned", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"returned\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0020.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After the audio ends, extract all occurrences of an ordinal number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0024.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After the audio ends, extract all occurrences of an organization name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0017.flac", "task_type": "lexical_detection", "query": "paper", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"paper\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0046.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0028.flac", "task_type": "lexical_detection", "query": "distance", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"distance\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0016.flac", "task_type": "lexical_detection", "query": "emperor", "prompt": "After the audio ends, extract all occurrences of the word \"emperor\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0024.flac", "task_type": "lexical_detection", "query": "turn", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"turn\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0040.flac", "task_type": "lexical_detection", "query": "law", "prompt": "Once the audio has finished, identify every instance of the word \"law\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0003.flac", "task_type": "lexical_detection", "query": "figure", "prompt": "When the utterance is complete, report all instances of the word \"figure\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0039.flac", "task_type": "lexical_detection", "query": "note", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"note\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0003.flac", "task_type": "lexical_detection", "query": "within", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"within\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0014.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0024.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "Process the full audio offline. For every occurrence of a time of day, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0019.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0016.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0020.flac", "task_type": "lexical_detection", "query": "age", "prompt": "Process the full audio offline. Find every instance of the word \"age\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0011.flac", "task_type": "lexical_detection", "query": "wait", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"wait\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0005.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0025.flac", "task_type": "lexical_detection", "query": "walked", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"walked\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0027.flac", "task_type": "lexical_detection", "query": "loved", "prompt": "Once the audio has finished, identify every instance of the word \"loved\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0022.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an animal name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0028.flac", "task_type": "lexical_detection", "query": "sometimes", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"sometimes\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0038.flac", "task_type": "lexical_detection", "query": "you've", "prompt": "Process the full audio offline. Find every instance of the word \"you've\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0038.flac", "task_type": "lexical_detection", "query": "wine", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"wine\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0035.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0042.flac", "task_type": "lexical_detection", "query": "advice", "prompt": "After listening to the whole recording, output every instance of the word \"advice\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0010.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0019.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Process the full audio offline. Find every instance of a weather term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0017.flac", "task_type": "lexical_detection", "query": "wind", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"wind\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0024.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0039.flac", "task_type": "lexical_detection", "query": "passed", "prompt": "After listening to the whole recording, output every instance of the word \"passed\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0038.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0040.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0038.flac", "task_type": "lexical_detection", "query": "rather", "prompt": "Process the full audio offline. Find every instance of the word \"rather\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0013.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0007.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After the audio ends, extract all occurrences of a person's name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0001.flac", "task_type": "lexical_detection", "query": "charlotte", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"charlotte\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0021.flac", "task_type": "lexical_detection", "query": "call", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"call\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0031.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Do not answer until the audio ends. Then list each instance of a plant name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0032.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0017.flac", "task_type": "lexical_detection", "query": "times", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"times\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0013.flac", "task_type": "lexical_detection", "query": "follow", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"follow\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0036.flac", "task_type": "lexical_detection", "query": "number", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"number\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0008.flac", "task_type": "semantic_counting", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a food name (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0008.flac", "task_type": "lexical_detection", "query": "real", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"real\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0000.flac", "task_type": "lexical_detection", "query": "sight", "prompt": "Once the audio has finished, identify every instance of the word \"sight\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0002.flac", "task_type": "lexical_detection", "query": "low", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"low\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0040.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0010.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0035.flac", "task_type": "lexical_counting", "query": "few", "prompt": "Process the full audio offline. For every occurrence of the word \"few\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0000.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0047.flac", "task_type": "lexical_detection", "query": "fixed", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"fixed\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0010.flac", "task_type": "lexical_detection", "query": "known", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"known\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0050.flac", "task_type": "lexical_detection", "query": "certain", "prompt": "After the audio ends, extract all occurrences of the word \"certain\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0000.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0019.flac", "task_type": "lexical_detection", "query": "misery", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"misery\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0046.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0027.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After listening to the whole recording, output every instance of a date with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0027.flac", "task_type": "lexical_detection", "query": "fellow", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"fellow\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0061", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0061.flac", "task_type": "lexical_detection", "query": "lost", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"lost\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0023.flac", "task_type": "lexical_detection", "query": "snobs", "prompt": "When the utterance is complete, report all instances of the word \"snobs\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0013.flac", "task_type": "lexical_detection", "query": "neither", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"neither\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0012.flac", "task_type": "lexical_detection", "query": "isn't", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"isn't\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0030.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an animal name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0014.flac", "task_type": "lexical_detection", "query": "ship", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"ship\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0014.flac", "task_type": "lexical_detection", "query": "sense", "prompt": "Once the audio has finished, identify every instance of the word \"sense\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0010.flac", "task_type": "lexical_detection", "query": "die", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"die\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0000.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0012.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After listening to the whole recording, output every instance of an animal name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0033.flac", "task_type": "lexical_detection", "query": "either", "prompt": "Process the full audio offline. Find every instance of the word \"either\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0033.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0033.flac", "task_type": "lexical_counting", "query": "hill", "prompt": "When the utterance is complete, report how the word \"hill\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0003.flac", "task_type": "semantic_counting", "query": "weather", "prompt": "Once the audio has finished, list each occurrence of a weather term as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0015.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0007.flac", "task_type": "lexical_detection", "query": "self", "prompt": "After listening to the whole recording, output every instance of the word \"self\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0036.flac", "task_type": "lexical_detection", "query": "couldn't", "prompt": "When the utterance is complete, report all instances of the word \"couldn't\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0023.flac", "task_type": "lexical_detection", "query": "red", "prompt": "Once the audio has finished, identify every instance of the word \"red\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0010.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Do not answer until the audio ends. Then list each instance of an animal name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0021.flac", "task_type": "lexical_detection", "query": "walk", "prompt": "Once the audio has finished, identify every instance of the word \"walk\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0000.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0000.flac", "task_type": "semantic_counting", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, produce a running count of an organization name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0009.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Do not answer until the audio ends. Then list each instance of a profession as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0008.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0013.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "After the audio ends, extract all occurrences of a person's name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0065", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0065.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After the audio ends, extract all occurrences of a date. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0000.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the full audio. After it finishes, find every instance of a profession. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0001.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a profession with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0017.flac", "task_type": "lexical_detection", "query": "fire", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"fire\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0021.flac", "task_type": "lexical_detection", "query": "although", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"although\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0114", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0114.flac", "task_type": "lexical_counting", "query": "regard", "prompt": "After listening to the whole recording, output timed count words for the word \"regard\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0011.flac", "task_type": "lexical_detection", "query": "added", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"added\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0008.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the full audio. After it finishes, find every instance of a time of day. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0049.flac", "task_type": "lexical_detection", "query": "marilla", "prompt": "Once the audio has finished, identify every instance of the word \"marilla\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0037.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Process the full audio offline. Find every instance of a person's name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0047.flac", "task_type": "lexical_detection", "query": "daughter", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"daughter\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0004.flac", "task_type": "lexical_detection", "query": "island", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"island\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0024.flac", "task_type": "semantic_counting", "query": "date", "prompt": "Listen to the entire clip, then report the count sequence for a date as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0003.flac", "task_type": "lexical_counting", "query": "grow", "prompt": "Listen to the full audio. Count every occurrence of the word \"grow\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0009.flac", "task_type": "lexical_detection", "query": "spring", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"spring\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0013.flac", "task_type": "lexical_detection", "query": "octavia", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"octavia\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0010.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0014.flac", "task_type": "semantic_detection", "query": "color", "prompt": "When the utterance is complete, report all instances of a color name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0018.flac", "task_type": "lexical_detection", "query": "suffering", "prompt": "When the utterance is complete, report all instances of the word \"suffering\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0027.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0030.flac", "task_type": "lexical_detection", "query": "berg", "prompt": "When the utterance is complete, report all instances of the word \"berg\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0036.flac", "task_type": "lexical_detection", "query": "large", "prompt": "After the audio ends, extract all occurrences of the word \"large\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0009.flac", "task_type": "lexical_detection", "query": "ones", "prompt": "Process the full audio offline. Find every instance of the word \"ones\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0004.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a body part with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0004.flac", "task_type": "lexical_detection", "query": "moon", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"moon\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0001.flac", "task_type": "lexical_detection", "query": "mouth", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"mouth\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0005.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0001.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0006.flac", "task_type": "lexical_detection", "query": "opened", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"opened\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0001.flac", "task_type": "lexical_counting", "query": "above", "prompt": "After listening to the whole recording, output timed count words for the word \"above\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0040.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Process the full audio offline. Find every instance of a weather term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0023.flac", "task_type": "lexical_detection", "query": "animals", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"animals\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0041.flac", "task_type": "lexical_detection", "query": "ground", "prompt": "Once the audio has finished, identify every instance of the word \"ground\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0014.flac", "task_type": "semantic_counting", "query": "ordinal", "prompt": "Process the full audio offline. For every occurrence of an ordinal number, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0002.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After listening to the whole recording, output every instance of a money or currency term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0037.flac", "task_type": "lexical_detection", "query": "party", "prompt": "When the utterance is complete, report all instances of the word \"party\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0019.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0007.flac", "task_type": "lexical_detection", "query": "deep", "prompt": "Process the full audio offline. Find every instance of the word \"deep\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0007.flac", "task_type": "lexical_detection", "query": "start", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"start\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0025.flac", "task_type": "lexical_detection", "query": "fortune", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"fortune\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0001.flac", "task_type": "lexical_detection", "query": "near", "prompt": "Process the full audio offline. Find every instance of the word \"near\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0026.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0018.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "When the utterance is complete, report all instances of a person's name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0015.flac", "task_type": "lexical_detection", "query": "sunday", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"sunday\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0032.flac", "task_type": "lexical_detection", "query": "whole", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"whole\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0012.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0022.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0012.flac", "task_type": "lexical_detection", "query": "exclaimed", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"exclaimed\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0019.flac", "task_type": "lexical_detection", "query": "entered", "prompt": "After listening to the whole recording, output every instance of the word \"entered\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0033.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Do not answer until the audio ends. Then list each instance of a body part as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0023.flac", "task_type": "lexical_detection", "query": "heavy", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"heavy\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0022.flac", "task_type": "lexical_detection", "query": "married", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"married\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0024.flac", "task_type": "lexical_detection", "query": "pierre", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"pierre\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0043.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Process the full audio offline. Find every instance of a time of day and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0014.flac", "task_type": "lexical_detection", "query": "boy", "prompt": "After listening to the whole recording, output every instance of the word \"boy\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0037.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0012.flac", "task_type": "lexical_detection", "query": "service", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"service\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0018.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0019.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen to the full audio. After it finishes, find every instance of an organization name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0001.flac", "task_type": "lexical_detection", "query": "gentleman", "prompt": "Once the audio has finished, identify every instance of the word \"gentleman\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0007.flac", "task_type": "lexical_detection", "query": "idea", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"idea\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0009.flac", "task_type": "lexical_detection", "query": "best", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"best\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0019.flac", "task_type": "lexical_detection", "query": "already", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"already\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0011.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0019.flac", "task_type": "lexical_detection", "query": "wanted", "prompt": "When the utterance is complete, report all instances of the word \"wanted\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0037.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0004.flac", "task_type": "lexical_detection", "query": "interest", "prompt": "Process the full audio offline. Find every instance of the word \"interest\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0013.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the full audio. After it finishes, find every instance of an animal name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0014.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0003.flac", "task_type": "lexical_detection", "query": "brother", "prompt": "After the audio ends, extract all occurrences of the word \"brother\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0020.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0015.flac", "task_type": "lexical_detection", "query": "innocence", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"innocence\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0095", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0095.flac", "task_type": "lexical_detection", "query": "reason", "prompt": "After the audio ends, extract all occurrences of the word \"reason\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0031.flac", "task_type": "lexical_detection", "query": "general", "prompt": "After the audio ends, extract all occurrences of the word \"general\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0003.flac", "task_type": "lexical_detection", "query": "rich", "prompt": "When the utterance is complete, report all instances of the word \"rich\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0041.flac", "task_type": "lexical_detection", "query": "died", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"died\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0024.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0035.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0110", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0110.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0023.flac", "task_type": "lexical_counting", "query": "desire", "prompt": "When the utterance is complete, report how the word \"desire\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0037.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen carefully to the entire clip, then report every instance of a number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0000.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0011.flac", "task_type": "lexical_detection", "query": "try", "prompt": "After the audio ends, extract all occurrences of the word \"try\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0021.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0010.flac", "task_type": "lexical_detection", "query": "freedom", "prompt": "Process the full audio offline. Find every instance of the word \"freedom\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0013.flac", "task_type": "lexical_detection", "query": "battle", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"battle\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0040.flac", "task_type": "lexical_detection", "query": "imagination", "prompt": "After listening to the whole recording, output every instance of the word \"imagination\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0035.flac", "task_type": "lexical_detection", "query": "wife", "prompt": "When the utterance is complete, report all instances of the word \"wife\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0003.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "After the audio ends, extract all occurrences of a family relation. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0012.flac", "task_type": "lexical_detection", "query": "busy", "prompt": "After the audio ends, extract all occurrences of the word \"busy\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0010.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "After the audio ends, extract all occurrences of an animal name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0010.flac", "task_type": "lexical_detection", "query": "splendid", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"splendid\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0002.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0020.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the full audio. After it finishes, find every instance of an ordinal number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0033.flac", "task_type": "lexical_detection", "query": "bertram", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"bertram\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0013.flac", "task_type": "lexical_detection", "query": "bring", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"bring\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0037.flac", "task_type": "lexical_detection", "query": "happened", "prompt": "After the audio ends, extract all occurrences of the word \"happened\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0004.flac", "task_type": "lexical_detection", "query": "behind", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"behind\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0025.flac", "task_type": "lexical_counting", "query": "count", "prompt": "Process the full audio offline. For every occurrence of the word \"count\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0016.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, list every instance of a profession you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0027.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After listening to the whole recording, output every instance of a date with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0034.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0027.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0033.flac", "task_type": "lexical_detection", "query": "wished", "prompt": "Once the audio has finished, identify every instance of the word \"wished\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0096", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0096.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the full audio. After it finishes, find every instance of a country name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0030.flac", "task_type": "lexical_detection", "query": "forth", "prompt": "When the utterance is complete, report all instances of the word \"forth\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0025.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0009.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-24733-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/24733/4570-24733-0000.flac", "task_type": "lexical_counting", "query": "forward", "prompt": "After the audio ends, tally every instance of the word \"forward\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0011.flac", "task_type": "lexical_detection", "query": "use", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"use\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0044.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0004.flac", "task_type": "lexical_detection", "query": "space", "prompt": "After the audio ends, extract all occurrences of the word \"space\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0000.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0013.flac", "task_type": "lexical_detection", "query": "picture", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"picture\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0001.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0023.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen carefully to the entire clip, then report every instance of a food name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0001.flac", "task_type": "lexical_detection", "query": "i've", "prompt": "Once the audio has finished, identify every instance of the word \"i've\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0012.flac", "task_type": "lexical_detection", "query": "anything", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"anything\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0024.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Process the full audio offline. Find every instance of a number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0057", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0057.flac", "task_type": "lexical_detection", "query": "kill", "prompt": "After the audio ends, extract all occurrences of the word \"kill\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0028.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0041.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen carefully to the entire clip, then report every instance of a weather term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0030.flac", "task_type": "lexical_detection", "query": "makes", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"makes\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0047", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0047.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After the audio ends, extract all occurrences of an organization name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0026.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Process the full audio offline. Find every instance of a color name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0008.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0023.flac", "task_type": "lexical_detection", "query": "seem", "prompt": "After listening to the whole recording, output every instance of the word \"seem\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0008.flac", "task_type": "semantic_detection", "query": "food", "prompt": "After listening to the whole recording, output every instance of a food name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0013.flac", "task_type": "semantic_counting", "query": "food", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a food name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0032.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Once the audio has finished, identify every instance of an organization name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0052.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0019.flac", "task_type": "lexical_detection", "query": "ill", "prompt": "After listening to the whole recording, output every instance of the word \"ill\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0106", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0106.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0035.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an animal name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0026.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Process the full audio offline. Find every instance of a state or province name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0012.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0003.flac", "task_type": "lexical_detection", "query": "horse", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"horse\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0007.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Once the audio has finished, identify every instance of a number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0003.flac", "task_type": "lexical_detection", "query": "pleasure", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"pleasure\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0023.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a disease name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0004.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0021.flac", "task_type": "lexical_detection", "query": "received", "prompt": "Process the full audio offline. Find every instance of the word \"received\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0020.flac", "task_type": "lexical_detection", "query": "black", "prompt": "When the utterance is complete, report all instances of the word \"black\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0004.flac", "task_type": "lexical_detection", "query": "penelope", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"penelope\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0011.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Once the audio has finished, identify every instance of a person's name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0027.flac", "task_type": "lexical_detection", "query": "present", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"present\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0009.flac", "task_type": "lexical_detection", "query": "live", "prompt": "After listening to the whole recording, output every instance of the word \"live\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0039.flac", "task_type": "lexical_detection", "query": "cold", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"cold\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0049.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0002.flac", "task_type": "lexical_detection", "query": "hung", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"hung\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0022.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0013.flac", "task_type": "lexical_detection", "query": "women", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"women\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0030.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0006.flac", "task_type": "lexical_detection", "query": "case", "prompt": "When the utterance is complete, report all instances of the word \"case\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0005.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Do not answer until the audio ends. Then list each instance of a body part as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0004.flac", "task_type": "lexical_detection", "query": "twenty", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"twenty\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0003.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0031.flac", "task_type": "lexical_detection", "query": "minute", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"minute\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0040.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0014.flac", "task_type": "lexical_detection", "query": "town", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"town\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0019.flac", "task_type": "lexical_detection", "query": "towards", "prompt": "Once the audio has finished, identify every instance of the word \"towards\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0058.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0017.flac", "task_type": "lexical_detection", "query": "food", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"food\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0004.flac", "task_type": "lexical_detection", "query": "five", "prompt": "After listening to the whole recording, output every instance of the word \"five\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0013.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245715-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245715/7697-245715-0001.flac", "task_type": "lexical_detection", "query": "tom", "prompt": "Once the audio has finished, identify every instance of the word \"tom\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0023.flac", "task_type": "lexical_detection", "query": "believe", "prompt": "After the audio ends, extract all occurrences of the word \"believe\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0003.flac", "task_type": "lexical_detection", "query": "ran", "prompt": "After the audio ends, extract all occurrences of the word \"ran\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0002.flac", "task_type": "lexical_counting", "query": "seemed", "prompt": "Once the audio has finished, list each occurrence of the word \"seemed\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0004.flac", "task_type": "lexical_detection", "query": "water", "prompt": "When the utterance is complete, report all instances of the word \"water\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0038.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0016.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After listening to the whole recording, output every instance of a weather term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0009.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0012.flac", "task_type": "semantic_counting", "query": "country", "prompt": "After the audio ends, tally every instance of a country name. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0007.flac", "task_type": "lexical_detection", "query": "promise", "prompt": "When the utterance is complete, report all instances of the word \"promise\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0006.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0000.flac", "task_type": "lexical_detection", "query": "tommo", "prompt": "When the utterance is complete, report all instances of the word \"tommo\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0001.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen to the full audio. After it finishes, find every instance of a person's name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0009.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0003.flac", "task_type": "lexical_detection", "query": "suppose", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"suppose\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0029.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Process the full audio offline. Find every instance of an organization name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0014.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0003.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Listen to the full audio. Count every occurrence of a family relation. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0001.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of an ordinal number with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0002.flac", "task_type": "lexical_detection", "query": "river", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"river\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0011.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0030.flac", "task_type": "lexical_detection", "query": "won't", "prompt": "After the audio ends, extract all occurrences of the word \"won't\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0002.flac", "task_type": "semantic_counting", "query": "food", "prompt": "Listen to the full audio. Count every occurrence of a food name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0023.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0003.flac", "task_type": "lexical_counting", "query": "family", "prompt": "Process the full audio offline. For every occurrence of the word \"family\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0010.flac", "task_type": "lexical_detection", "query": "themselves", "prompt": "After the audio ends, extract all occurrences of the word \"themselves\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0046.flac", "task_type": "lexical_detection", "query": "across", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"across\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0001.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "Listen to the entire clip, then report the count sequence for a family relation as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0001.flac", "task_type": "lexical_detection", "query": "feel", "prompt": "After the audio ends, extract all occurrences of the word \"feel\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0031.flac", "task_type": "lexical_detection", "query": "between", "prompt": "Process the full audio offline. Find every instance of the word \"between\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0029.flac", "task_type": "lexical_detection", "query": "alone", "prompt": "After the audio ends, extract all occurrences of the word \"alone\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0002.flac", "task_type": "lexical_detection", "query": "happy", "prompt": "After listening to the whole recording, output every instance of the word \"happy\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0016.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Do not answer until the audio ends. Then list each instance of a food name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0002.flac", "task_type": "lexical_detection", "query": "big", "prompt": "Once the audio has finished, identify every instance of the word \"big\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0017.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After listening to the whole recording, output every instance of a number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0029.flac", "task_type": "lexical_detection", "query": "less", "prompt": "After the audio ends, extract all occurrences of the word \"less\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0025.flac", "task_type": "lexical_counting", "query": "master", "prompt": "After listening to the whole recording, output timed count words for the word \"master\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0001.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0045.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0020.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the full audio. After it finishes, find every instance of a plant name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0002.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0004.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0017.flac", "task_type": "lexical_detection", "query": "can't", "prompt": "When the utterance is complete, report all instances of the word \"can't\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0004.flac", "task_type": "lexical_detection", "query": "open", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"open\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0009.flac", "task_type": "lexical_detection", "query": "ready", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"ready\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0008.flac", "task_type": "lexical_detection", "query": "children", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"children\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0013.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0022.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0017.flac", "task_type": "lexical_detection", "query": "admetus", "prompt": "After listening to the whole recording, output every instance of the word \"admetus\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0019.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-169427-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/169427/2506-169427-0002.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Once the audio has finished, identify every instance of a food name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0001.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-138279-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/138279/1255-138279-0008.flac", "task_type": "lexical_detection", "query": "against", "prompt": "Process the full audio offline. Find every instance of the word \"against\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0048.flac", "task_type": "lexical_detection", "query": "another", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"another\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0006.flac", "task_type": "lexical_detection", "query": "afraid", "prompt": "Process the full audio offline. Find every instance of the word \"afraid\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0039.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Do not answer until the audio ends. Then list each instance of a plant name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0012.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0015.flac", "task_type": "lexical_detection", "query": "fast", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"fast\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0042.flac", "task_type": "lexical_detection", "query": "marian", "prompt": "After listening to the whole recording, output every instance of the word \"marian\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0002.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0034.flac", "task_type": "lexical_detection", "query": "dostoevsky", "prompt": "Once the audio has finished, identify every instance of the word \"dostoevsky\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0020.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0075", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0075.flac", "task_type": "lexical_detection", "query": "griggs", "prompt": "Process the full audio offline. Find every instance of the word \"griggs\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0012.flac", "task_type": "lexical_counting", "query": "feet", "prompt": "Listen to the audio in full, then emit a JSON array of count events for the word \"feet\" (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0032.flac", "task_type": "lexical_detection", "query": "forgive", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"forgive\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0023.flac", "task_type": "lexical_detection", "query": "sake", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"sake\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0002.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0001.flac", "task_type": "lexical_counting", "query": "pretty", "prompt": "Listen to the entire clip, then report the count sequence for the word \"pretty\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0005.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0001.flac", "task_type": "semantic_detection", "query": "color", "prompt": "When the utterance is complete, report all instances of a color name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0039.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0011.flac", "task_type": "lexical_counting", "query": "cry", "prompt": "Process the full audio offline. For every occurrence of the word \"cry\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0000.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0026.flac", "task_type": "lexical_detection", "query": "husband", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"husband\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0012.flac", "task_type": "semantic_counting", "query": "food", "prompt": "Process the full audio offline. For every occurrence of a food name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0066", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0066.flac", "task_type": "lexical_detection", "query": "tessa", "prompt": "When the utterance is complete, report all instances of the word \"tessa\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172005-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172005/3663-172005-0006.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0000.flac", "task_type": "lexical_detection", "query": "immediately", "prompt": "After listening to the whole recording, output every instance of the word \"immediately\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0004.flac", "task_type": "semantic_detection", "query": "date", "prompt": "After listening to the whole recording, output every instance of a date with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0012.flac", "task_type": "lexical_detection", "query": "dead", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"dead\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0089", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0089.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the full audio. After it finishes, find every instance of a time of day. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0043.flac", "task_type": "lexical_detection", "query": "table", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"table\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0054.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After the audio ends, extract all occurrences of a money or currency term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0013.flac", "task_type": "lexical_detection", "query": "possible", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"possible\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0000.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0021.flac", "task_type": "lexical_detection", "query": "talking", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"talking\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0017.flac", "task_type": "lexical_detection", "query": "fact", "prompt": "After the audio ends, extract all occurrences of the word \"fact\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0065", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0065.flac", "task_type": "lexical_detection", "query": "you're", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"you're\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0025.flac", "task_type": "semantic_counting", "query": "city", "prompt": "Process the full audio offline. For every occurrence of a city name, emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0000.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a color name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0005.flac", "task_type": "lexical_detection", "query": "jesus", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"jesus\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-157641-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/157641/1650-157641-0006.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0012.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Do not answer until the audio ends. Then list each instance of a plant name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0098", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0098.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0027.flac", "task_type": "lexical_detection", "query": "school", "prompt": "Process the full audio offline. Find every instance of the word \"school\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0007.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Process the full audio offline. Find every instance of an organization name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0043.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen carefully to the entire clip, then report every instance of a money or currency term as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0030.flac", "task_type": "lexical_counting", "query": "spot", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"spot\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0014.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0018.flac", "task_type": "lexical_detection", "query": "hair", "prompt": "Process the full audio offline. Find every instance of the word \"hair\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0036.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After the audio ends, extract all occurrences of a weather term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0011.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0052.flac", "task_type": "lexical_detection", "query": "short", "prompt": "When the utterance is complete, report all instances of the word \"short\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0009.flac", "task_type": "lexical_detection", "query": "week", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"week\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0002.flac", "task_type": "lexical_detection", "query": "andrew", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"andrew\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0030.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Once the audio has finished, identify every instance of a profession. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0045.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0018.flac", "task_type": "lexical_detection", "query": "arm", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"arm\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0055.flac", "task_type": "lexical_detection", "query": "called", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"called\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112383-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112383/4572-112383-0009.flac", "task_type": "lexical_detection", "query": "everything", "prompt": "When the utterance is complete, report all instances of the word \"everything\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0034.flac", "task_type": "lexical_detection", "query": "stopped", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"stopped\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0006.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Once the audio has finished, identify every instance of a money or currency term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0019.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Process the full audio offline. Find every instance of an animal name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0004.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0022.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Once the audio has finished, identify every instance of a plant name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0039.flac", "task_type": "lexical_detection", "query": "whether", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"whether\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-102353-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/102353/4570-102353-0001.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Once the audio has finished, identify every instance of a body part. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0043", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0043.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Do not answer until the audio ends. Then list each instance of a weather term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0003.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0005.flac", "task_type": "lexical_detection", "query": "become", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"become\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0017.flac", "task_type": "lexical_counting", "query": "fell", "prompt": "When the utterance is complete, report how the word \"fell\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0034.flac", "task_type": "lexical_detection", "query": "knowledge", "prompt": "Process the full audio offline. Find every instance of the word \"knowledge\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0052", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0052.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0009.flac", "task_type": "lexical_detection", "query": "around", "prompt": "After the audio ends, extract all occurrences of the word \"around\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0041.flac", "task_type": "lexical_detection", "query": "held", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"held\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0015.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, list every instance of a plant name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0006.flac", "task_type": "lexical_detection", "query": "home", "prompt": "Once the audio has finished, identify every instance of the word \"home\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0049.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0015.flac", "task_type": "lexical_detection", "query": "living", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"living\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0012.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "After the audio ends, extract all occurrences of a state or province name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0014.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After listening to the whole recording, output every instance of a plant name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0029.flac", "task_type": "lexical_detection", "query": "fine", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"fine\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0016.flac", "task_type": "lexical_counting", "query": "became", "prompt": "When the utterance is complete, report how the word \"became\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0053.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Process the full audio offline. Find every instance of a body part and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0048.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After listening to the whole recording, output every instance of a weather term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0013.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0003.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Once the audio has finished, identify every instance of a family relation. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0007.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0000.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "When the utterance is complete, report all instances of an organization name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0034.flac", "task_type": "lexical_detection", "query": "sat", "prompt": "After the audio ends, extract all occurrences of the word \"sat\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0010.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen carefully to the entire clip, then report every instance of a plant name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0029.flac", "task_type": "lexical_detection", "query": "smile", "prompt": "After the audio ends, extract all occurrences of the word \"smile\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0020.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0019.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "When the utterance is complete, report all instances of a body part including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0023.flac", "task_type": "lexical_counting", "query": "speaking", "prompt": "After listening to the whole recording, output timed count words for the word \"speaking\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0032.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "After the audio ends, extract all occurrences of a weather term. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0024.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0003.flac", "task_type": "lexical_detection", "query": "ought", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"ought\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0007.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a date with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0004.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0038.flac", "task_type": "lexical_detection", "query": "leave", "prompt": "After listening to the whole recording, output every instance of the word \"leave\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0045.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0032.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0026.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "When the utterance is complete, report all instances of a disease name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0004.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0035.flac", "task_type": "lexical_detection", "query": "given", "prompt": "Process the full audio offline. Find every instance of the word \"given\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0012.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Do not answer until the audio ends. Then list each instance of a country name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0000.flac", "task_type": "lexical_detection", "query": "almost", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"almost\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0042.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0053", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0053.flac", "task_type": "lexical_detection", "query": "fear", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"fear\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0000.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Once the audio has finished, identify every instance of a body part. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0024.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0000.flac", "task_type": "semantic_counting", "query": "color", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a color name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0045.flac", "task_type": "lexical_detection", "query": "uncle", "prompt": "After listening to the whole recording, output every instance of the word \"uncle\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0021.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Process the full audio offline. Find every instance of a family relation and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0032.flac", "task_type": "lexical_detection", "query": "hand", "prompt": "When the utterance is complete, report all instances of the word \"hand\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0028.flac", "task_type": "lexical_detection", "query": "subject", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"subject\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0000.flac", "task_type": "lexical_detection", "query": "dress", "prompt": "When the utterance is complete, report all instances of the word \"dress\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0016.flac", "task_type": "semantic_detection", "query": "city", "prompt": "When the utterance is complete, report all instances of a city name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0013.flac", "task_type": "lexical_detection", "query": "show", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"show\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0098", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0098.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Process the full audio offline. Find every instance of a body part and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0030.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Listen to the full audio. Count every occurrence of a state or province name. After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0103", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0103.flac", "task_type": "lexical_detection", "query": "brought", "prompt": "After the audio ends, extract all occurrences of the word \"brought\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0013.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a state or province name with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0010.flac", "task_type": "lexical_detection", "query": "half", "prompt": "Once the audio has finished, identify every instance of the word \"half\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0004.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "When the utterance is complete, report all instances of a state or province name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0001.flac", "task_type": "semantic_detection", "query": "color", "prompt": "You will hear a complete utterance. When it ends, list every instance of a color name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0014.flac", "task_type": "lexical_detection", "query": "rest", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"rest\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0012.flac", "task_type": "lexical_detection", "query": "quite", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"quite\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0001.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0005.flac", "task_type": "lexical_detection", "query": "small", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"small\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0018.flac", "task_type": "lexical_detection", "query": "others", "prompt": "Process the full audio offline. Find every instance of the word \"others\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0004.flac", "task_type": "lexical_detection", "query": "son", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"son\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0013.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0022.flac", "task_type": "lexical_detection", "query": "holy", "prompt": "After listening to the whole recording, output every instance of the word \"holy\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0009.flac", "task_type": "lexical_counting", "query": "replied", "prompt": "Listen to the entire clip, then report the count sequence for the word \"replied\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0022.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After the audio ends, extract all occurrences of a country name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0014.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After listening to the whole recording, output every instance of a city name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101619-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101619/7601-101619-0004.flac", "task_type": "lexical_detection", "query": "often", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"often\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0021.flac", "task_type": "lexical_counting", "query": "find", "prompt": "You will hear a complete utterance. When it ends, produce a running count of the word \"find\": each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0000.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "When the utterance is complete, report all instances of a family relation including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0018.flac", "task_type": "lexical_detection", "query": "spoke", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"spoke\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0010.flac", "task_type": "lexical_detection", "query": "making", "prompt": "Process the full audio offline. Find every instance of the word \"making\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0024.flac", "task_type": "lexical_detection", "query": "ask", "prompt": "When the utterance is complete, report all instances of the word \"ask\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0029", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0029.flac", "task_type": "lexical_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of the word \"money\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0008.flac", "task_type": "lexical_detection", "query": "says", "prompt": "After the audio ends, extract all occurrences of the word \"says\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0015.flac", "task_type": "lexical_detection", "query": "both", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"both\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0009.flac", "task_type": "lexical_detection", "query": "thing", "prompt": "Process the full audio offline. Find every instance of the word \"thing\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0001.flac", "task_type": "lexical_detection", "query": "need", "prompt": "After the audio ends, extract all occurrences of the word \"need\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0027.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0000.flac", "task_type": "lexical_detection", "query": "morning", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"morning\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0008.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After listening to the whole recording, output every instance of a body part with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0038.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen carefully to the entire clip, then report every instance of an animal name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0011.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "You will hear a complete utterance. When it ends, list every instance of an organization name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0015.flac", "task_type": "lexical_detection", "query": "remember", "prompt": "Process the full audio offline. Find every instance of the word \"remember\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0008.flac", "task_type": "lexical_detection", "query": "peace", "prompt": "Process the full audio offline. Find every instance of the word \"peace\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0026.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0008.flac", "task_type": "lexical_counting", "query": "door", "prompt": "After listening to the whole recording, output timed count words for the word \"door\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0038.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0001.flac", "task_type": "lexical_counting", "query": "heart", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"heart\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0016.flac", "task_type": "lexical_detection", "query": "used", "prompt": "When the utterance is complete, report all instances of the word \"used\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0013.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After listening to the whole recording, output every instance of a city name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0000.flac", "task_type": "lexical_detection", "query": "trying", "prompt": "Process the full audio offline. Find every instance of the word \"trying\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0005.flac", "task_type": "lexical_detection", "query": "light", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"light\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0015.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "When the utterance is complete, report all instances of a number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0026.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After listening to the whole recording, output every instance of a disease name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0002.flac", "task_type": "lexical_detection", "query": "write", "prompt": "Process the full audio offline. Find every instance of the word \"write\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0005.flac", "task_type": "lexical_detection", "query": "poor", "prompt": "After the audio ends, extract all occurrences of the word \"poor\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0066", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0066.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0032.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After the audio ends, extract all occurrences of a plant name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0054", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0054.flac", "task_type": "semantic_detection", "query": "money", "prompt": "When the utterance is complete, report all instances of a money or currency term including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0021.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0058", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0058.flac", "task_type": "lexical_detection", "query": "new", "prompt": "After the audio ends, extract all occurrences of the word \"new\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0006.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0023.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0008.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0016.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0030.flac", "task_type": "lexical_detection", "query": "keep", "prompt": "After the audio ends, extract all occurrences of the word \"keep\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-185072-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/185072/4153-185072-0013.flac", "task_type": "lexical_detection", "query": "having", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"having\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173552-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173552/1650-173552-0008.flac", "task_type": "lexical_detection", "query": "hundred", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"hundred\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0055", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0055.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0016.flac", "task_type": "lexical_detection", "query": "read", "prompt": "After the audio ends, extract all occurrences of the word \"read\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0020.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Listen to the full audio. After it finishes, find every instance of a person's name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0012.flac", "task_type": "lexical_detection", "query": "until", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"until\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0111", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0111.flac", "task_type": "lexical_detection", "query": "glad", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"glad\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0020.flac", "task_type": "lexical_detection", "query": "year", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"year\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0020", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0020.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Do not answer until the audio ends. Then list each instance of a date as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0017.flac", "task_type": "lexical_detection", "query": "sleep", "prompt": "After listening to the whole recording, output every instance of the word \"sleep\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0034.flac", "task_type": "lexical_counting", "query": "land", "prompt": "Listen to the full audio. Count every occurrence of the word \"land\". After it finishes, for each occurrence in order output a JSON object whose word is the count word (\"one\", \"two\", ...) with that occurrence's start/end times. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0006.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "When the utterance is complete, report all instances of a state or province name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0003.flac", "task_type": "lexical_detection", "query": "talk", "prompt": "When the utterance is complete, report all instances of the word \"talk\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0000.flac", "task_type": "semantic_counting", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a state or province name (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0005.flac", "task_type": "lexical_detection", "query": "hands", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"hands\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0004.flac", "task_type": "lexical_counting", "query": "same", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for the word \"same\" with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0015.flac", "task_type": "lexical_detection", "query": "suddenly", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"suddenly\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0009.flac", "task_type": "lexical_detection", "query": "friends", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"friends\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0016.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Once the audio has finished, identify every instance of a money or currency term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0021.flac", "task_type": "semantic_counting", "query": "profession", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a profession (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0012.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After listening to the whole recording, output every instance of a money or currency term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0044.flac", "task_type": "lexical_detection", "query": "return", "prompt": "After listening to the whole recording, output every instance of the word \"return\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0015.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Process the full audio offline. Find every instance of a weather term and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0000.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the full audio. After it finishes, find every instance of a time of day. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0008.flac", "task_type": "lexical_counting", "query": "part", "prompt": "Once the audio has finished, list each occurrence of the word \"part\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0009.flac", "task_type": "lexical_detection", "query": "geraint", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"geraint\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0068", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0068.flac", "task_type": "lexical_detection", "query": "thou", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"thou\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0025.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Once the audio has finished, identify every instance of a weather term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0002.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0035.flac", "task_type": "lexical_detection", "query": "war", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"war\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0025.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the full audio. After it finishes, find every instance of a state or province name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0004.flac", "task_type": "lexical_detection", "query": "thy", "prompt": "Once the audio has finished, identify every instance of the word \"thy\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0008.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "You will hear a complete utterance. When it ends, list every instance of a disease name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0003.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0025.flac", "task_type": "lexical_detection", "query": "stories", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"stories\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0018.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-173551-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/173551/1650-173551-0005.flac", "task_type": "lexical_detection", "query": "margaret", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"margaret\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0016.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0007.flac", "task_type": "lexical_detection", "query": "saying", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"saying\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0000.flac", "task_type": "lexical_detection", "query": "whom", "prompt": "When the utterance is complete, report all instances of the word \"whom\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0015.flac", "task_type": "lexical_detection", "query": "perhaps", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"perhaps\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0016.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a country name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172182-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172182/3660-172182-0031.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0086", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0086.flac", "task_type": "semantic_detection", "query": "city", "prompt": "After the audio ends, extract all occurrences of a city name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0002.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Process the full audio offline. Find every instance of a country name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0004.flac", "task_type": "lexical_detection", "query": "yet", "prompt": "Process the full audio offline. Find every instance of the word \"yet\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0035.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Process the full audio offline. Find every instance of a color name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0051.flac", "task_type": "lexical_detection", "query": "tears", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"tears\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0044.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "After the audio ends, extract all occurrences of a disease name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0001.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0018.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0004.flac", "task_type": "lexical_detection", "query": "four", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"four\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0007.flac", "task_type": "lexical_detection", "query": "i'll", "prompt": "After the audio ends, extract all occurrences of the word \"i'll\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0046.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a state or province name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0051", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0051.flac", "task_type": "lexical_detection", "query": "polly", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"polly\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0014.flac", "task_type": "lexical_counting", "query": "answer", "prompt": "Listen to the entire clip, then report the count sequence for the word \"answer\" as timed JSON events (word is the count word, not the surface form). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0034.flac", "task_type": "lexical_detection", "query": "better", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"better\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0038.flac", "task_type": "lexical_detection", "query": "mind", "prompt": "When the utterance is complete, report all instances of the word \"mind\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0010.flac", "task_type": "lexical_detection", "query": "aunt", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"aunt\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0024.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen carefully to the entire clip, then report every instance of an animal name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0015.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "You will hear a complete utterance. When it ends, list every instance of a time of day you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-102884-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/102884/1630-102884-0000.flac", "task_type": "lexical_detection", "query": "therefore", "prompt": "Process the full audio offline. Find every instance of the word \"therefore\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0008.flac", "task_type": "lexical_detection", "query": "missus", "prompt": "After listening to the whole recording, output every instance of the word \"missus\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0031.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Process the full audio offline. Find every instance of a food name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0016.flac", "task_type": "semantic_counting", "query": "color", "prompt": "Listen to the audio in full, then emit a JSON array of count events for a color name (word, start, end). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0031.flac", "task_type": "lexical_detection", "query": "left", "prompt": "When the utterance is complete, report all instances of the word \"left\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0015.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a time of day with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0015.flac", "task_type": "lexical_detection", "query": "herself", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"herself\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0018.flac", "task_type": "lexical_detection", "query": "anne", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"anne\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0037.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Listen carefully to the entire clip, then report every instance of an ordinal number as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88294-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88294/6841-88294-0014.flac", "task_type": "lexical_detection", "query": "moment", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"moment\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0038", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0038.flac", "task_type": "lexical_detection", "query": "first", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"first\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0002.flac", "task_type": "lexical_detection", "query": "sir", "prompt": "Once the audio has finished, identify every instance of the word \"sir\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0013.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "You will hear a complete utterance. When it ends, list every instance of a profession you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5543-27761-0077", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5543/27761/5543-27761-0077.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Once the audio has finished, identify every instance of a country name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0028.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a weather term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0025.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Process the full audio offline. Find every instance of a date and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0071", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0071.flac", "task_type": "lexical_detection", "query": "set", "prompt": "Once the audio has finished, identify every instance of the word \"set\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0026.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Once the audio has finished, identify every instance of a person's name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0076", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0076.flac", "task_type": "lexical_detection", "query": "girl", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"girl\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0028.flac", "task_type": "lexical_detection", "query": "looking", "prompt": "After listening to the whole recording, output every instance of the word \"looking\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0015.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0005.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a plant name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0025.flac", "task_type": "lexical_detection", "query": "till", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"till\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-245712-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/245712/7697-245712-0004.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0030.flac", "task_type": "lexical_detection", "query": "among", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"among\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0018.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0012.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Process the full audio offline. Find every instance of a city name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0014.flac", "task_type": "lexical_detection", "query": "myself", "prompt": "After listening to the whole recording, output every instance of the word \"myself\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0039.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Process the full audio offline. Find every instance of a country name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0022.flac", "task_type": "lexical_detection", "query": "full", "prompt": "Process the full audio offline. Find every instance of the word \"full\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96670-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96670/7641-96670-0013.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a money or currency term with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0009.flac", "task_type": "lexical_detection", "query": "last", "prompt": "When the utterance is complete, report all instances of the word \"last\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0008.flac", "task_type": "lexical_detection", "query": "child", "prompt": "Process the full audio offline. Find every instance of the word \"child\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0034.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Do not answer until the audio ends. Then list each instance of a money or currency term as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0066", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0066.flac", "task_type": "lexical_detection", "query": "things", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"things\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0007.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Process the full audio offline. Find every instance of a disease name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0002.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "When the utterance is complete, report all instances of an animal name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38591-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38591/6599-38591-0006.flac", "task_type": "lexical_counting", "query": "country", "prompt": "Process the full audio offline. For every occurrence of the word \"country\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0011.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "Process the full audio offline. Find every instance of a plant name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0007.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Once the audio has finished, identify every instance of a city name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0012.flac", "task_type": "semantic_detection", "query": "money", "prompt": "After listening to the whole recording, output every instance of a money or currency term with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0007.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Process the full audio offline. Find every instance of a profession and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0032.flac", "task_type": "lexical_detection", "query": "hear", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"hear\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0026.flac", "task_type": "lexical_detection", "query": "world", "prompt": "After listening to the whole recording, output every instance of the word \"world\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0022.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After listening to the whole recording, output every instance of a color name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0004.flac", "task_type": "lexical_detection", "query": "young", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"young\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0014.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Listen carefully to the entire clip, then report every instance of a date as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-291468-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/291468/7601-291468-0006.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a plant name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-56594-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/56594/4570-56594-0008.flac", "task_type": "lexical_detection", "query": "years", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"years\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0006.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0003.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0067", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0067.flac", "task_type": "lexical_detection", "query": "kind", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"kind\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0002.flac", "task_type": "lexical_detection", "query": "nor", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"nor\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0005.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an ordinal number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0050", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0050.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0069", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0069.flac", "task_type": "lexical_detection", "query": "speak", "prompt": "When the utterance is complete, report all instances of the word \"speak\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-25894-0035", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/25894/4831-25894-0035.flac", "task_type": "semantic_detection", "query": "money", "prompt": "You will hear a complete utterance. When it ends, list every instance of a money or currency term you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0006.flac", "task_type": "lexical_detection", "query": "turned", "prompt": "After listening to the whole recording, output every instance of the word \"turned\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-157660-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/157660/1585-157660-0007.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Listen to the full audio. After it finishes, find every instance of a country name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0028.flac", "task_type": "semantic_counting", "query": "cardinal", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a number with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0018.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After the audio ends, extract all occurrences of a number. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0011", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0011.flac", "task_type": "lexical_detection", "query": "going", "prompt": "After the audio ends, extract all occurrences of the word \"going\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0028.flac", "task_type": "lexical_detection", "query": "jane", "prompt": "When the utterance is complete, report all instances of the word \"jane\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0046.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen to the full audio. After it finishes, find every instance of a disease name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0009.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "After listening to the whole recording, output every instance of a body part with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0012.flac", "task_type": "semantic_detection", "query": "animal", "prompt": "Listen to the full audio. After it finishes, find every instance of an animal name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0017.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "When the utterance is complete, report all instances of a plant name including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274162-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274162/8288-274162-0023.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Listen to the full audio. After it finishes, find every instance of a money or currency term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0001.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Listen carefully to the entire clip, then report every instance of an organization name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105817-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105817/7697-105817-0003.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen carefully to the entire clip, then report every instance of a city name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-97061-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/97061/6467-97061-0003.flac", "task_type": "semantic_counting", "query": "person_name", "prompt": "Once the audio has finished, list each occurrence of a person's name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96684-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96684/7641-96684-0034.flac", "task_type": "lexical_detection", "query": "good", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"good\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0025.flac", "task_type": "lexical_detection", "query": "story", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"story\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0006.flac", "task_type": "semantic_detection", "query": "money", "prompt": "Once the audio has finished, identify every instance of a money or currency term. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186223-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186223/4153-186223-0007.flac", "task_type": "semantic_counting", "query": "animal", "prompt": "After listening to the whole recording, output timed count words for an animal name (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59150-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59150/6123-59150-0000.flac", "task_type": "lexical_detection", "query": "close", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"close\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0048", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0048.flac", "task_type": "semantic_detection", "query": "city", "prompt": "Listen to the full audio. After it finishes, find every instance of a city name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7697-105815-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7697/105815/7697-105815-0010.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0033.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Listen carefully to the entire clip, then report every instance of a disease name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-13150-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/13150/2506-13150-0006.flac", "task_type": "lexical_detection", "query": "voice", "prompt": "Once the audio has finished, identify every instance of the word \"voice\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0022.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "After listening to the whole recording, output every instance of an organization name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0014.flac", "task_type": "lexical_counting", "query": "nature", "prompt": "After listening to the whole recording, output timed count words for the word \"nature\" (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-65525-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/65525/6267-65525-0040.flac", "task_type": "lexical_counting", "query": "saw", "prompt": "Once the audio has finished, list each occurrence of the word \"saw\" as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0013.flac", "task_type": "lexical_detection", "query": "air", "prompt": "Once the audio has finished, identify every instance of the word \"air\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0018.flac", "task_type": "lexical_detection", "query": "bad", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"bad\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0022.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "When the utterance is complete, report all instances of an ordinal number including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0030.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0033", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0033.flac", "task_type": "lexical_detection", "query": "knew", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"knew\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-29134-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/29134/4831-29134-0014.flac", "task_type": "lexical_detection", "query": "billy", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"billy\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0001.flac", "task_type": "lexical_detection", "query": "i'm", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"i'm\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0088", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0088.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of a number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0040.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "After listening to the whole recording, output every instance of a number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6599-38590-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6599/38590/6599-38590-0005.flac", "task_type": "lexical_detection", "query": "wish", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"wish\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0019.flac", "task_type": "lexical_detection", "query": "help", "prompt": "When the utterance is complete, report all instances of the word \"help\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0057", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0057.flac", "task_type": "lexical_detection", "query": "gave", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"gave\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0024.flac", "task_type": "semantic_detection", "query": "person_name", "prompt": "Once the audio has finished, identify every instance of a person's name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-175351-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/175351/7601-175351-0007.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90413-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90413/1255-90413-0026.flac", "task_type": "lexical_detection", "query": "work", "prompt": "Process the full audio offline. Find every instance of the word \"work\" and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0045", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0045.flac", "task_type": "lexical_detection", "query": "great", "prompt": "After the audio ends, extract all occurrences of the word \"great\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11267-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11267/2506-11267-0014.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Process the full audio offline. Find every instance of a color name and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112381-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112381/4572-112381-0008.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen carefully to the entire clip, then report every instance of a profession as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0017.flac", "task_type": "lexical_detection", "query": "words", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"words\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0004.flac", "task_type": "lexical_detection", "query": "yourself", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"yourself\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0040", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0040.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Once the audio has finished, identify every instance of a body part. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0044", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0044.flac", "task_type": "semantic_counting", "query": "disease", "prompt": "After listening to the whole recording, output timed count words for a disease name (one, two, three, ...) as JSON. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0025", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0025.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0041", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0041.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of a food name with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-56885-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/56885/6467-56885-0015.flac", "task_type": "lexical_detection", "query": "side", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"side\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3663-172528-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3663/172528/3663-172528-0003.flac", "task_type": "lexical_detection", "query": "way", "prompt": "After the audio ends, extract all occurrences of the word \"way\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-90407-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/90407/1255-90407-0006.flac", "task_type": "semantic_detection", "query": "weather", "prompt": "Listen to the full audio. After it finishes, find every instance of a weather term. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-61735-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/61735/4153-61735-0003.flac", "task_type": "lexical_detection", "query": "position", "prompt": "After listening to the whole recording, output every instance of the word \"position\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67803-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67803/6455-67803-0000.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "Listen carefully to the entire clip, then report every instance of a profession as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50962-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50962/5849-50962-0014.flac", "task_type": "lexical_detection", "query": "kept", "prompt": "After listening to the whole recording, output every instance of the word \"kept\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0000.flac", "task_type": "lexical_detection", "query": "sent", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"sent\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0057", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0057.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0012", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0012.flac", "task_type": "semantic_detection", "query": "organization", "prompt": "Do not answer until the audio ends. Then list each instance of an organization name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0042.flac", "task_type": "semantic_counting", "query": "money", "prompt": "Once the audio has finished, list each occurrence of a money or currency term as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0005.flac", "task_type": "semantic_detection", "query": "profession", "prompt": "After listening to the whole recording, output every instance of a profession with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0019.flac", "task_type": "semantic_detection", "query": "disease", "prompt": "Do not answer until the audio ends. Then list each instance of a disease name as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0001.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Once the audio has finished, identify every instance of a time of day. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0026", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0026.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then list each instance of a time of day as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0036", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0036.flac", "task_type": "lexical_detection", "query": "captain", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"captain\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-73710-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/73710/1630-73710-0000.flac", "task_type": "lexical_detection", "query": "chris", "prompt": "Once the audio has finished, identify every instance of the word \"chris\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0000.flac", "task_type": "lexical_detection", "query": "seems", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"seems\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0003.flac", "task_type": "semantic_detection", "query": "body_part", "prompt": "Process the full audio offline. Find every instance of a body part and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0049", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0049.flac", "task_type": "lexical_detection", "query": "word", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"word\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0022.flac", "task_type": "lexical_detection", "query": "barclay", "prompt": "Once the audio has finished, identify every instance of the word \"barclay\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0021.flac", "task_type": "semantic_counting", "query": "animal", "prompt": "Once the audio has finished, list each occurrence of an animal name as {\"word\": , \"start\", \"end\"} in order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-64670-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/64670/4572-64670-0016.flac", "task_type": "semantic_detection", "query": "cardinal", "prompt": "Listen to the full audio. After it finishes, find every instance of a number. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1255-74899-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1255/74899/1255-74899-0018.flac", "task_type": "semantic_detection", "query": "country", "prompt": "After listening to the whole recording, output every instance of a country name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6467-94831-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6467/94831/6467-94831-0000.flac", "task_type": "semantic_detection", "query": "country", "prompt": "Once the audio has finished, identify every instance of a country name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0006.flac", "task_type": "lexical_detection", "query": "really", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"really\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0037", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0037.flac", "task_type": "semantic_detection", "query": "clock_time", "prompt": "When the utterance is complete, report all instances of a time of day including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4570-14911-0015", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4570/14911/4570-14911-0015.flac", "task_type": "lexical_detection", "query": "didn't", "prompt": "After the audio ends, extract all occurrences of the word \"didn't\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0024", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0024.flac", "task_type": "semantic_counting", "query": "plant", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a plant name: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4831-18525-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4831/18525/4831-18525-0028.flac", "task_type": "lexical_detection", "query": "abode", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"abode\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-57461-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/57461/3915-57461-0028.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Once the audio has finished, identify every instance of an ordinal number. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0022", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0022.flac", "task_type": "lexical_detection", "query": "phronsie", "prompt": "Once the audio has finished, identify every instance of the word \"phronsie\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288047-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288047/116-288047-0021.flac", "task_type": "lexical_detection", "query": "round", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"round\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0039", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0039.flac", "task_type": "lexical_detection", "query": "far", "prompt": "After the audio ends, extract all occurrences of the word \"far\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1650-167613-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1650/167613/1650-167613-0019.flac", "task_type": "lexical_detection", "query": "apollo", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"apollo\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0006", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0006.flac", "task_type": "lexical_detection", "query": "miss", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"miss\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288046-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288046/116-288046-0002.flac", "task_type": "lexical_detection", "query": "dear", "prompt": "When the utterance is complete, report all instances of the word \"dear\" including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0003", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0003.flac", "task_type": "lexical_counting", "query": "while", "prompt": "When the utterance is complete, report how the word \"while\" accumulated over time using count words and spans. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0066", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0066.flac", "task_type": "semantic_detection", "query": "date", "prompt": "When the utterance is complete, report all instances of a date including the spoken word and time span. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0010", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0010.flac", "task_type": "semantic_counting", "query": "date", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a date: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0002.flac", "task_type": "lexical_detection", "query": "awaits", "prompt": "After the audio ends, extract all occurrences of the word \"awaits\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1651-136854-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1651/136854/1651-136854-0004.flac", "task_type": "lexical_detection", "query": "christian", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"christian\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0019.flac", "task_type": "lexical_counting", "query": "does", "prompt": "Process the full audio offline. For every occurrence of the word \"does\", emit a count-word event with timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0030", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0030.flac", "task_type": "lexical_detection", "query": "anderson", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"anderson\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122868-0001", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122868/700-122868-0001.flac", "task_type": "lexical_detection", "query": "answered", "prompt": "After the audio ends, extract all occurrences of the word \"answered\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1585-131718-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1585/131718/1585-131718-0027.flac", "task_type": "lexical_detection", "query": "able", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"able\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141760-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141760/1701-141760-0042.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288048-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288048/116-288048-0018.flac", "task_type": "lexical_detection", "query": "want", "prompt": "After listening to the whole recording, output every instance of the word \"want\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4572-112375-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4572/112375/4572-112375-0008.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "After listening to the whole recording, output every instance of an ordinal number with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0002", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0002.flac", "task_type": "lexical_detection", "query": "since", "prompt": "After the audio ends, extract all occurrences of the word \"since\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6841-88291-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6841/88291/6841-88291-0014.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "Listen carefully to the entire clip, then report every instance of a state or province name as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0023.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "Process the full audio offline. Find every instance of an ordinal number and give the surface word plus start/end timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0018", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0018.flac", "task_type": "lexical_detection", "query": "matter", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"matter\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0005.flac", "task_type": "semantic_detection", "query": "date", "prompt": "Once the audio has finished, identify every instance of a date. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0008.flac", "task_type": "lexical_detection", "query": "ambassadors", "prompt": "After listening to the whole recording, output every instance of the word \"ambassadors\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-67804-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/67804/6455-67804-0017.flac", "task_type": "semantic_counting", "query": "clock_time", "prompt": "Do not answer until the audio ends. Then return a JSON list of count events for a time of day with word/start/end. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0034.flac", "task_type": "lexical_detection", "query": "done", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"done\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1686-142278-0013", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1686/142278/1686-142278-0013.flac", "task_type": "lexical_detection", "query": "mother", "prompt": "After the audio ends, extract all occurrences of the word \"mother\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0042", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0042.flac", "task_type": "lexical_detection", "query": "next", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"next\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1701-141759-0021", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1701/141759/1701-141759-0021.flac", "task_type": "semantic_detection", "query": "ordinal", "prompt": "You will hear a complete utterance. When it ends, list every instance of an ordinal number you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-172183-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/172183/3660-172183-0005.flac", "task_type": "lexical_detection", "query": "take", "prompt": "After the audio ends, extract all occurrences of the word \"take\". Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-141772-0014", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/141772/1630-141772-0014.flac", "task_type": "lexical_detection", "query": "felt", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"felt\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0004.flac", "task_type": "semantic_detection", "query": "country", "prompt": "You will hear a complete utterance. When it ends, list every instance of a country name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0032.flac", "task_type": "semantic_detection", "query": "color", "prompt": "Listen to the full audio. After it finishes, find every instance of a color name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0009", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0009.flac", "task_type": "lexical_detection", "query": "manner", "prompt": "Once the audio has finished, identify every instance of the word \"manner\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122867-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122867/700-122867-0031.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Once the audio has finished, identify every instance of a food name. Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8288-274150-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8288/274150/8288-274150-0007.flac", "task_type": "lexical_detection", "query": "once", "prompt": "Once the audio has finished, identify every instance of the word \"once\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4515-11057-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4515/11057/4515-11057-0016.flac", "task_type": "lexical_detection", "query": "night", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"night\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-55228-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/55228/4323-55228-0017.flac", "task_type": "lexical_detection", "query": "room", "prompt": "Listen to the audio in full, then emit a JSON array of every instance of the word \"room\" with fields word, start, end (seconds). If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8173-294714-0046", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8173/294714/8173-294714-0046.flac", "task_type": "lexical_detection", "query": "order", "prompt": "After listening to the whole recording, output every instance of the word \"order\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "700-122866-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/700/122866/700-122866-0005.flac", "task_type": "lexical_counting", "query": "looked", "prompt": "After the audio ends, tally every instance of the word \"looked\". Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4153-186222-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4153/186222/4153-186222-0034.flac", "task_type": "semantic_detection", "query": "food", "prompt": "Listen to the full audio. After it finishes, find every instance of a food name. For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-115543-0028", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/115543/8254-115543-0028.flac", "task_type": "lexical_detection", "query": "two", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"two\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6267-53049-0031", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6267/53049/6267-53049-0031.flac", "task_type": "lexical_detection", "query": "time", "prompt": "Listen carefully to the entire clip, then report every instance of the word \"time\" as JSON objects with word, start, and end. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "1630-96099-0017", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/1630/96099/1630-96099-0017.flac", "task_type": "lexical_detection", "query": "because", "prompt": "Once the audio has finished, identify every instance of the word \"because\". Return a JSON list of {\"word\", \"start\", \"end\"} in time order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-18416-0023", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/18416/4323-18416-0023.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, list every instance of a family relation you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3915-98647-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3915/98647/3915-98647-0008.flac", "task_type": "lexical_detection", "query": "though", "prompt": "After listening to the whole recording, output every instance of the word \"though\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0034", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0034.flac", "task_type": "lexical_detection", "query": "tell", "prompt": "After listening to the whole recording, output every instance of the word \"tell\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50963-0007", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50963/5849-50963-0007.flac", "task_type": "semantic_detection", "query": "plant", "prompt": "After listening to the whole recording, output every instance of a plant name with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "8254-84205-0075", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/8254/84205/8254-84205-0075.flac", "task_type": "semantic_detection", "query": "state_or_province", "prompt": "You will hear a complete utterance. When it ends, list every instance of a state or province name you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "2506-11278-0019", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/2506/11278/2506-11278-0019.flac", "task_type": "lexical_detection", "query": "indeed", "prompt": "After listening to the whole recording, output every instance of the word \"indeed\" with precise start and end times (seconds). Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "4323-13259-0004", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/4323/13259/4323-13259-0004.flac", "task_type": "lexical_detection", "query": "cried", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"cried\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50964-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50964/5849-50964-0008.flac", "task_type": "lexical_detection", "query": "seen", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"seen\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6455-66379-0000", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6455/66379/6455-66379-0000.flac", "task_type": "semantic_detection", "query": "kinship", "prompt": "Do not answer until the audio ends. Then list each instance of a family relation as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7641-96252-0008", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7641/96252/7641-96252-0008.flac", "task_type": "lexical_detection", "query": "under", "prompt": "Listen to the full audio. After it finishes, find every instance of the word \"under\". For each match, report the spoken word and its start/end times in seconds. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "6123-59186-0027", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/6123/59186/6123-59186-0027.flac", "task_type": "lexical_detection", "query": "nothing", "prompt": "You will hear a complete utterance. When it ends, list every instance of the word \"nothing\" you heard with word-level timestamps. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "3660-6517-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/3660/6517/3660-6517-0005.flac", "task_type": "semantic_counting", "query": "money", "prompt": "After the audio ends, tally every instance of a money or currency term. Reply with JSON only — one object per occurrence, word=\"one\"/\"two\"/... plus start and end in seconds. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "5849-50873-0016", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/5849/50873/5849-50873-0016.flac", "task_type": "semantic_detection", "query": "color", "prompt": "After the audio ends, extract all occurrences of a color name. Output each spoken word with its start and end time. Reply with JSON only: a list of objects {\"word\": , \"start\": , \"end\": } in chronological order. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "7601-101622-0005", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/7601/101622/7601-101622-0005.flac", "task_type": "lexical_detection", "query": "lord", "prompt": "Do not answer until the audio ends. Then list each instance of the word \"lord\" as {\"word\", \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"} {"utterance_id": "116-288045-0032", "split": "dev-other", "audio_path": "LibriSpeech/dev-other/116/288045/116-288045-0032.flac", "task_type": "semantic_counting", "query": "kinship", "prompt": "You will hear a complete utterance. When it ends, produce a running count of a family relation: each event is {\"word\": \"one\"|\"two\"|..., \"start\", \"end\"}. If none, reply [].", "labels": [], "response_mode": "offline", "answer": "[]"}