Datasets:
Eval metadata Batch 4: Tweet Eval, Tweets Hate Speech Detection, VCTK, Weibo NER, Wisesight Sentiment, XSum, Yahoo Answers Topics, Yelp Polarity, Yelp Review Full (#4338)
Browse files* Eval metadata for Tweet Eval, Tweets Hate Speech Detection, VCTK, Weibo NER, Wisesight Sentiment, XSum, Yahoo Answers Topics, Yelp Polarity, Yelp Review Full
* Update README.md
oops, duplicate
* Update README.md
adding header
* Update README.md
adding header
* Update datasets/xsum/README.md
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
* Update README.md
removing ROUGE args
* Update README.md
removing F1 params
* Update README.md
* Update README.md
updating to binary F1
* Update README.md
oops typo
* Update README.md
F1 binary
Co-authored-by: sashavor <sasha.luccioni@huggingface.co>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
Commit from https://github.com/huggingface/datasets/commit/bce8e6541af98cb0e06b24f9c96a6431cf813a38
@@ -18,6 +18,20 @@ task_categories:
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- automatic-speech-recognition
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task_ids: []
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paperswithcode_id: vctk
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---
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# Dataset Card for VCTK
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@@ -49,7 +63,7 @@ paperswithcode_id: vctk
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## Dataset Description
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- **Homepage:** [Edinburg DataShare](https://doi.org/10.7488/ds/2645)
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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@@ -70,24 +84,24 @@ This CSTR VCTK Corpus includes speech data uttered by 110 English speakers with
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### Data Instances
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A data point comprises the path to the audio file, called `file` and its transcription, called `text`.
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```
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{
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'speaker_id': 'p225',
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'text_id': '001',
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'text': 'Please call Stella.',
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'age': '23',
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'gender': 'F',
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'accent': 'English',
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'region': 'Southern England',
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'file': '/datasets/downloads/extracted/8ed7dad05dfffdb552a3699777442af8e8ed11e656feb277f35bf9aea448f49e/wav48_silence_trimmed/p225/p225_001_mic1.flac',
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'audio':
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{
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'path': '/datasets/downloads/extracted/8ed7dad05dfffdb552a3699777442af8e8ed11e656feb277f35bf9aea448f49e/wav48_silence_trimmed/p225/p225_001_mic1.flac',
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-
'array': array([0.00485229, 0.00689697, 0.00619507, ..., 0.00811768, 0.00836182, 0.00854492], dtype=float32),
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'sampling_rate': 48000
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-
},
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'comment': ''
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}
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```
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- automatic-speech-recognition
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task_ids: []
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paperswithcode_id: vctk
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train-eval-index:
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- config: main
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task: automatic-speech-recognition
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task_id: speech_recognition
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splits:
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train_split: train
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col_mapping:
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file: path
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text: text
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metrics:
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- type: wer
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name: WER
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- type: cer
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name: CER
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---
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# Dataset Card for VCTK
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## Dataset Description
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- **Homepage:** [Edinburg DataShare](https://doi.org/10.7488/ds/2645)
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Data Instances
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A data point comprises the path to the audio file, called `file` and its transcription, called `text`.
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```
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{
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'speaker_id': 'p225',
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'text_id': '001',
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'text': 'Please call Stella.',
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'age': '23',
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'gender': 'F',
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'accent': 'English',
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'region': 'Southern England',
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'file': '/datasets/downloads/extracted/8ed7dad05dfffdb552a3699777442af8e8ed11e656feb277f35bf9aea448f49e/wav48_silence_trimmed/p225/p225_001_mic1.flac',
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'audio':
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{
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'path': '/datasets/downloads/extracted/8ed7dad05dfffdb552a3699777442af8e8ed11e656feb277f35bf9aea448f49e/wav48_silence_trimmed/p225/p225_001_mic1.flac',
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'array': array([0.00485229, 0.00689697, 0.00619507, ..., 0.00811768, 0.00836182, 0.00854492], dtype=float32),
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'sampling_rate': 48000
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},
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'comment': ''
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}
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```
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