| { |
| "name": "TempCompass", |
| "release_date": "2024-06-01", |
| "subsets": { |
| "multi_choice": { |
| "language": [ |
| "en" |
| ], |
| "modalities": [ |
| "single_video_start" |
| ], |
| "task_type": "multiple_choice_qa", |
| "score_pipeline": [ |
| "exact-match", |
| "rule-match", |
| "llm-judge" |
| ], |
| "score_protocol": { |
| "reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:115-172 (hand-crafted letter-match rules first; on failure ChatGPT judges Correct/Incorrect) + :480 (judge = gpt-3.5-turbo-1106) — mirrors official llyx97/TempCompass eval; vlmevalkit@vlmeval/dataset/tempcompass.py:63-260 (TempCompass_MCQ, DEFAULT_JUDGE chatgpt-1106) agrees.", |
| "note": "Official judge model gpt-3.5-turbo-1106. Official reports accuracy per temporal dimension (extra.dim) and overall average across the four task formats; per-sample scoring reproduces per-subset accuracy only." |
| }, |
| "prompt_template": "<video>{{ question }}\nPlease directly give the best option:", |
| "mapping_from_source": { |
| "media": { |
| "from": "video_path", |
| "type": "list", |
| "min_items": 1, |
| "max_items": 1 |
| }, |
| "id": { |
| "from": "id" |
| }, |
| "question": { |
| "from": "question" |
| }, |
| "answer": { |
| "from": "answer", |
| "optional": true |
| }, |
| "extra": { |
| "video_id": { |
| "from": "video_id" |
| }, |
| "dim": { |
| "from": "dim" |
| } |
| }, |
| "source": { |
| "format": "json", |
| "url": { |
| "train": "https://huggingface.co/datasets/lmms-lab/TempCompass" |
| } |
| } |
| }, |
| "video_storage": { |
| "format": "files", |
| "media_root": "videos", |
| "notes": "410 videos from ShutterStock, distributed via lmms-lab/TempCompass HF repo. Includes original and conflicting (reversed/concatenated) videos for temporal perception testing." |
| }, |
| "prompt_template_source": { |
| "origin": "official", |
| "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/tempcompass/_default_template_yaml (canonical per-subset post_prompts: multi-choice → 'Please directly give the best option:'; yes_no → 'Please answer yes or no:'; caption_matching → 'Please directly give the best option:')", |
| "notes": "Tier 4: lmms-eval TempCompass canonical per-subset evaluation prompts." |
| } |
| }, |
| "yes_no": { |
| "language": [ |
| "en" |
| ], |
| "modalities": [ |
| "single_video_start" |
| ], |
| "task_type": "yes_no_qa", |
| "score_pipeline": [ |
| "exact-match", |
| "rule-match", |
| "llm-judge" |
| ], |
| "score_protocol": { |
| "reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:174-225 (extract_pred yes/no rule first; ChatGPT gpt-3.5-turbo-1106 judge fallback) — mirrors official llyx97/TempCompass; vlmevalkit@vlmeval/dataset/tempcompass.py:458-630 (TempCompass_YorN) agrees.", |
| "note": "Official judge model gpt-3.5-turbo-1106; official aggregation is per-dim + cross-format average." |
| }, |
| "prompt_template": "<video>{{ question }}\nPlease answer yes or no:", |
| "mapping_from_source": { |
| "media": { |
| "from": "video_path", |
| "type": "list", |
| "min_items": 1, |
| "max_items": 1 |
| }, |
| "id": { |
| "from": "id" |
| }, |
| "question": { |
| "from": "question" |
| }, |
| "answer": { |
| "from": "answer", |
| "optional": true |
| }, |
| "extra": { |
| "video_id": { |
| "from": "video_id" |
| }, |
| "dim": { |
| "from": "dim" |
| } |
| }, |
| "source": { |
| "format": "json", |
| "url": { |
| "train": "https://huggingface.co/datasets/lmms-lab/TempCompass" |
| } |
| } |
| }, |
| "video_storage": { |
| "format": "files", |
| "media_root": "videos", |
| "notes": "410 videos from ShutterStock, distributed via lmms-lab/TempCompass HF repo. Includes original and conflicting (reversed/concatenated) videos for temporal perception testing." |
| }, |
| "prompt_template_source": { |
| "origin": "official", |
| "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/tempcompass/_default_template_yaml (canonical per-subset post_prompts: multi-choice → 'Please directly give the best option:'; yes_no → 'Please answer yes or no:'; caption_matching → 'Please directly give the best option:')", |
| "notes": "Tier 4: lmms-eval TempCompass canonical per-subset evaluation prompts." |
| } |
| }, |
| "caption_matching": { |
| "language": [ |
| "en" |
| ], |
| "modalities": [ |
| "single_video_start" |
| ], |
| "task_type": "multiple_choice_qa", |
| "score_pipeline": [ |
| "exact-match", |
| "rule-match", |
| "llm-judge" |
| ], |
| "score_protocol": { |
| "reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:227-277 (eval_rule deterministic caption-option matching first; ChatGPT gpt-3.5-turbo-1106 judge fallback) — mirrors official llyx97/TempCompass caption_matching eval.", |
| "note": "Options are full caption sentences embedded in the question text (no options dict); official judge model gpt-3.5-turbo-1106." |
| }, |
| "prompt_template": "<video>{{ question }}\nPlease directly give the best option:", |
| "mapping_from_source": { |
| "media": { |
| "from": "video_path", |
| "type": "list", |
| "min_items": 1, |
| "max_items": 1 |
| }, |
| "id": { |
| "from": "id" |
| }, |
| "question": { |
| "from": "question" |
| }, |
| "answer": { |
| "from": "answer", |
| "optional": true |
| }, |
| "extra": { |
| "video_id": { |
| "from": "video_id" |
| }, |
| "dim": { |
| "from": "dim" |
| } |
| }, |
| "source": { |
| "format": "json", |
| "url": { |
| "train": "https://huggingface.co/datasets/lmms-lab/TempCompass" |
| } |
| } |
| }, |
| "video_storage": { |
| "format": "files", |
| "media_root": "videos", |
| "notes": "410 videos from ShutterStock, distributed via lmms-lab/TempCompass HF repo. Includes original and conflicting (reversed/concatenated) videos for temporal perception testing." |
| }, |
| "prompt_template_source": { |
| "origin": "official", |
| "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/tempcompass/_default_template_yaml (canonical per-subset post_prompts: multi-choice → 'Please directly give the best option:'; yes_no → 'Please answer yes or no:'; caption_matching → 'Please directly give the best option:')", |
| "notes": "Tier 4: lmms-eval TempCompass canonical per-subset evaluation prompts." |
| } |
| }, |
| "captioning": { |
| "language": [ |
| "en" |
| ], |
| "modalities": [ |
| "single_video_start" |
| ], |
| "task_type": "captioning", |
| "score_pipeline": [ |
| "llm-judge" |
| ], |
| "score_params": { |
| "rubric": "binary", |
| "official_judge_model": "gpt-3.5-turbo-1106" |
| }, |
| "score_protocol": { |
| "reference": "lmms-eval@lmms_eval/tasks/tempcompass/utils.py:280-345 + :409 (every generated caption is graded by ChatGPT: the judge reads the caption and answers the row's mc_question; rating = 1 iff the judge's choice equals mc_answer) — official llyx97/TempCompass caption-generation eval.", |
| "note": "Official protocol requires per-row mc_question and mc_answer; the mm-eval mapping keeps only answer/video_id/dim. The published answer column verified (captioning/data.json, 2026-07-07) to carry the mc_answer in letter+text form (e.g. 'C. pushing bikes up a hill'), but mc_question is NOT shipped — as published, the official caption-matching judge prompt cannot be reconstructed without re-fetching mc_question from lmms-lab/TempCompass. Not caption_metrics (no CIDEr/BLEU): grading is LLM-QA-based, binary per sample." |
| }, |
| "prompt_template": "<video>{{ question }}", |
| "mapping_from_source": { |
| "media": { |
| "from": "video_path", |
| "type": "list", |
| "min_items": 1, |
| "max_items": 1 |
| }, |
| "id": { |
| "from": "id" |
| }, |
| "question": { |
| "from": "question" |
| }, |
| "answer": { |
| "from": "answer", |
| "optional": true |
| }, |
| "extra": { |
| "video_id": { |
| "from": "video_id" |
| }, |
| "dim": { |
| "from": "dim" |
| } |
| }, |
| "source": { |
| "format": "json", |
| "url": { |
| "train": "https://huggingface.co/datasets/lmms-lab/TempCompass" |
| } |
| } |
| }, |
| "video_storage": { |
| "format": "files", |
| "media_root": "videos", |
| "notes": "410 videos from ShutterStock, distributed via lmms-lab/TempCompass HF repo. Includes original and conflicting (reversed/concatenated) videos for temporal perception testing." |
| }, |
| "prompt_template_source": { |
| "origin": "official", |
| "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/tempcompass/_default_template_yaml (captioning task uses bare video+question)", |
| "notes": "Tier 4: lmms-eval TempCompass captioning canonical prompt (no scaffold)." |
| } |
| } |
| } |
| } |
