Datasets:
Add ASR release table v1 (6,448,108 rows, 43 languages) and dataset card
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +18 -3
- data/asr/ar/train-00000-of-00001.parquet +2 -2
- data/asr/az/train-00000-of-00001.parquet +2 -2
- data/asr/bg/train-00000-of-00001.parquet +2 -2
- data/asr/ca/train-00000-of-00001.parquet +2 -2
- data/asr/cs/train-00000-of-00001.parquet +2 -2
- data/asr/cy/train-00000-of-00001.parquet +2 -2
- data/asr/da/train-00000-of-00001.parquet +2 -2
- data/asr/de/train-00000-of-00001.parquet +2 -2
- data/asr/el/train-00000-of-00001.parquet +2 -2
- data/asr/en/train-00000-of-00004.parquet +2 -2
- data/asr/en/train-00001-of-00004.parquet +2 -2
- data/asr/en/train-00002-of-00004.parquet +2 -2
- data/asr/en/train-00003-of-00004.parquet +2 -2
- data/asr/es/train-00000-of-00004.parquet +2 -2
- data/asr/es/train-00001-of-00004.parquet +2 -2
- data/asr/es/train-00002-of-00004.parquet +2 -2
- data/asr/es/train-00003-of-00004.parquet +2 -2
- data/asr/et/train-00000-of-00001.parquet +2 -2
- data/asr/fi/train-00000-of-00001.parquet +2 -2
- data/asr/fr/train-00000-of-00003.parquet +2 -2
- data/asr/fr/train-00001-of-00003.parquet +2 -2
- data/asr/fr/train-00002-of-00003.parquet +2 -2
- data/asr/gl/train-00000-of-00001.parquet +2 -2
- data/asr/gu/train-00000-of-00001.parquet +2 -2
- data/asr/he/train-00000-of-00001.parquet +2 -2
- data/asr/hi/train-00000-of-00001.parquet +2 -2
- data/asr/hu/train-00000-of-00001.parquet +2 -2
- data/asr/id/train-00000-of-00001.parquet +2 -2
- data/asr/it/train-00000-of-00001.parquet +2 -2
- data/asr/ja/train-00000-of-00001.parquet +2 -2
- data/asr/kk/train-00000-of-00001.parquet +2 -2
- data/asr/ko/train-00000-of-00001.parquet +2 -2
- data/asr/mr/train-00000-of-00001.parquet +2 -2
- data/asr/ms/train-00000-of-00001.parquet +2 -2
- data/asr/nl/train-00000-of-00001.parquet +2 -2
- data/asr/no/train-00000-of-00001.parquet +2 -2
- data/asr/pl/train-00000-of-00001.parquet +2 -2
- data/asr/pt/train-00000-of-00001.parquet +2 -2
- data/asr/ro/train-00000-of-00001.parquet +2 -2
- data/asr/ru/train-00000-of-00001.parquet +2 -2
- data/asr/sk/train-00000-of-00001.parquet +2 -2
- data/asr/sl/train-00000-of-00001.parquet +2 -2
- data/asr/sr/train-00000-of-00001.parquet +2 -2
- data/asr/sv/train-00000-of-00001.parquet +2 -2
- data/asr/sw/train-00000-of-00001.parquet +2 -2
- data/asr/ta/train-00000-of-00001.parquet +2 -2
- data/asr/tl/train-00000-of-00001.parquet +2 -2
- data/asr/tr/train-00000-of-00001.parquet +2 -2
- data/asr/uk/train-00000-of-00001.parquet +2 -2
README.md
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Each row describes one clip: its position in the source video (`video_id`, `start`, `end`), an
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automatic transcript produced with Whisper large-v3-turbo, a language label predicted from the
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transcript, and the attribution of the source video. The audio is not included
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All source videos were published under the Creative Commons Attribution license. The license
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of every video was checked with the YouTube Data API on 2026-10-15; videos that were no longer
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51 files in total. The folder name `asr` is the task; further tasks built on the same
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clips may be added as further folders.
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### Example row
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The example shows the columns that have a value (
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transcript is shortened here, and `attribution`, which is stored as a JSON string, is shown parsed.
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```json
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"split": "train",
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"source_dataset": "youtube_clips_v1",
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"license": "CC-BY-4.0",
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"audio_input_duration": 15.75,
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"audio_input_sample_rate": 16000,
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"audio_input_num_channels": 1,
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| `split` | string | `train` | Dataset split; all rows are training data |
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| `source_dataset` | string | `youtube_clips_v1` | Name of the source corpus, used when corpora are combined |
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| `license` | string | `CC-BY-4.0` | License of the row |
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| `audio_input_path` | string |
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| `audio_input_duration` | float64 | seconds, e.g. `15.75` | Duration of the clip |
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| `audio_input_sample_rate` | int64 | `16000` | Sample rate in Hz of the clip audio from which the transcript was made |
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| `audio_input_num_channels` | int64 | `1` | Number of audio channels (mono) |
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Each row describes one clip: its position in the source video (`video_id`, `start`, `end`), an
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automatic transcript produced with Whisper large-v3-turbo, a language label predicted from the
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transcript, and the attribution of the source video. The audio is not included in this
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repository; `audio_input_path` gives the relative path of each clip's audio file (see
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[Audio files](#audio-files)).
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All source videos were published under the Creative Commons Attribution license. The license
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of every video was checked with the YouTube Data API on 2026-10-15; videos that were no longer
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51 files in total. The folder name `asr` is the task; further tasks built on the same
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clips may be added as further folders.
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### Audio files
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The audio files are not part of this repository. `audio_input_path` is the relative path of the clip
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audio (16 kHz mono FLAC):
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```text
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audio/<lang>/<video_id>/<clip_id>.flac e.g. audio/nl/-H9G_NHn4Xc/-H9G_NHn4Xc_0000.flac
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```
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`<lang>` is the configuration (video language). If the folder that contains `audio/` is `<root>`,
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the audio of a row is `<root>/<audio_input_path>`.
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### Example row
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The example shows the columns that have a value (44 columns of this row are null). The
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transcript is shortened here, and `attribution`, which is stored as a JSON string, is shown parsed.
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```json
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"split": "train",
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"source_dataset": "youtube_clips_v1",
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"license": "CC-BY-4.0",
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"audio_input_path": "audio/nl/-H9G_NHn4Xc/-H9G_NHn4Xc_0000.flac",
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"audio_input_duration": 15.75,
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"audio_input_sample_rate": 16000,
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"audio_input_num_channels": 1,
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| `split` | string | `train` | Dataset split; all rows are training data |
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| `source_dataset` | string | `youtube_clips_v1` | Name of the source corpus, used when corpora are combined |
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| `license` | string | `CC-BY-4.0` | License of the row |
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| `audio_input_path` | string | `audio/<lang>/<video_id>/<clip_id>.flac` | Relative path of the clip audio (16 kHz mono FLAC); the audio files are not part of this repository (see [Audio files](#audio-files)) |
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| `audio_input_duration` | float64 | seconds, e.g. `15.75` | Duration of the clip |
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| `audio_input_sample_rate` | int64 | `16000` | Sample rate in Hz of the clip audio from which the transcript was made |
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| `audio_input_num_channels` | int64 | `1` | Number of audio channels (mono) |
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