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timit-asr
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timit_asr

Tasks:
Automatic Speech Recognition
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English
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1K<n<10K
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Sasha Luccioni commited on
Commit
fe550f4
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1 Parent(s): 9270e24

Eval metadata batch 3: Reddit, Rotten Tomatoes, SemEval 2010, Sentiment 140, SMS Spam, Snips, SQuAD, SQuAD v2, Timit ASR (#4337)

Browse files

* Eval metadata batch 3: Quora, Reddit, Rotten Tomatoes, SemEval 2010, Sentiment 140, SMS Spam, Snips, SQuAD, SQuAD v2, Timit ASR

* Update datasets/quora/README.md

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update README.md

removing ROUGE args

* Update datasets/rotten_tomatoes/README.md

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Update datasets/rotten_tomatoes/README.md

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Update datasets/squad/README.md

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Update datasets/squad_v2/README.md

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Update datasets/squad/README.md

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Update datasets/squad_v2/README.md

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Update datasets/squad_v2/README.md

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Update README.md

removing eval for quora

Co-authored-by: sashavor <sasha.luccioni@huggingface.co>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

Commit from https://github.com/huggingface/datasets/commit/8ccf58b77343f323ba6654250f88b69699a57b8e

Files changed (1) hide show
  1. README.md +57 -42
README.md CHANGED
@@ -18,6 +18,21 @@ task_categories:
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  - automatic-speech-recognition
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  task_ids: []
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  paperswithcode_id: timit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for timit_asr
@@ -84,50 +99,50 @@ A typical data point comprises the path to the audio file, usually called `file`
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  ```
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  {
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- 'file': '/data/TRAIN/DR4/MMDM0/SI681.WAV',
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  'audio': {'path': '/data/TRAIN/DR4/MMDM0/SI681.WAV',
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  'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32),
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  'sampling_rate': 16000},
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- 'text': 'Would such an act of refusal be useful?',
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- 'phonetic_detail': [{'start': '0', 'stop': '1960', 'utterance': 'h#'},
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- {'start': '1960', 'stop': '2466', 'utterance': 'w'},
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- {'start': '2466', 'stop': '3480', 'utterance': 'ix'},
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- {'start': '3480', 'stop': '4000', 'utterance': 'dcl'},
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- {'start': '4000', 'stop': '5960', 'utterance': 's'},
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- {'start': '5960', 'stop': '7480', 'utterance': 'ah'},
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- {'start': '7480', 'stop': '7880', 'utterance': 'tcl'},
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- {'start': '7880', 'stop': '9400', 'utterance': 'ch'},
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- {'start': '9400', 'stop': '9960', 'utterance': 'ix'},
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- {'start': '9960', 'stop': '10680', 'utterance': 'n'},
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- {'start': '10680', 'stop': '13480', 'utterance': 'ae'},
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- {'start': '13480', 'stop': '15680', 'utterance': 'kcl'},
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- {'start': '15680', 'stop': '15880', 'utterance': 't'},
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- {'start': '15880', 'stop': '16920', 'utterance': 'ix'},
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- {'start': '16920', 'stop': '18297', 'utterance': 'v'},
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- {'start': '18297', 'stop': '18882', 'utterance': 'r'},
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- {'start': '18882', 'stop': '19480', 'utterance': 'ix'},
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- {'start': '19480', 'stop': '21723', 'utterance': 'f'},
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- {'start': '21723', 'stop': '22516', 'utterance': 'y'},
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- {'start': '22516', 'stop': '24040', 'utterance': 'ux'},
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- {'start': '24040', 'stop': '25190', 'utterance': 'zh'},
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- {'start': '25190', 'stop': '27080', 'utterance': 'el'},
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- {'start': '27080', 'stop': '28160', 'utterance': 'bcl'},
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- {'start': '28160', 'stop': '28560', 'utterance': 'b'},
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- {'start': '28560', 'stop': '30120', 'utterance': 'iy'},
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- {'start': '30120', 'stop': '31832', 'utterance': 'y'},
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- {'start': '31832', 'stop': '33240', 'utterance': 'ux'},
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- {'start': '33240', 'stop': '34640', 'utterance': 's'},
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- {'start': '34640', 'stop': '35968', 'utterance': 'f'},
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- {'start': '35968', 'stop': '37720', 'utterance': 'el'},
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- {'start': '37720', 'stop': '39920', 'utterance': 'h#'}],
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- 'word_detail': [{'start': '1960', 'stop': '4000', 'utterance': 'would'},
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- {'start': '4000', 'stop': '9400', 'utterance': 'such'},
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- {'start': '9400', 'stop': '10680', 'utterance': 'an'},
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- {'start': '10680', 'stop': '15880', 'utterance': 'act'},
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- {'start': '15880', 'stop': '18297', 'utterance': 'of'},
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- {'start': '18297', 'stop': '27080', 'utterance': 'refusal'},
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- {'start': '27080', 'stop': '30120', 'utterance': 'be'},
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- {'start': '30120', 'stop': '37720', 'utterance': 'useful'}],
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  'dialect_region': 'DR4',
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  'sentence_type': 'SI',
@@ -164,7 +179,7 @@ The speech material has been subdivided into portions for training and
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  testing. The default train-test split will be made available on data download.
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  The test data alone has a core portion containing 24 speakers, 2 male and 1 female
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- from each dialect region. More information about the test set can
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  be found [here](https://catalog.ldc.upenn.edu/docs/LDC93S1/TESTSET.TXT)
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18
  - automatic-speech-recognition
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  task_ids: []
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  paperswithcode_id: timit
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+ train-eval-index:
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+ - config: clean
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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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+ eval_split: test
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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 timit_asr
 
99
 
100
  ```
101
  {
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+ 'file': '/data/TRAIN/DR4/MMDM0/SI681.WAV',
103
  'audio': {'path': '/data/TRAIN/DR4/MMDM0/SI681.WAV',
104
  'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32),
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  'sampling_rate': 16000},
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+ 'text': 'Would such an act of refusal be useful?',
107
+ 'phonetic_detail': [{'start': '0', 'stop': '1960', 'utterance': 'h#'},
108
+ {'start': '1960', 'stop': '2466', 'utterance': 'w'},
109
+ {'start': '2466', 'stop': '3480', 'utterance': 'ix'},
110
+ {'start': '3480', 'stop': '4000', 'utterance': 'dcl'},
111
+ {'start': '4000', 'stop': '5960', 'utterance': 's'},
112
+ {'start': '5960', 'stop': '7480', 'utterance': 'ah'},
113
+ {'start': '7480', 'stop': '7880', 'utterance': 'tcl'},
114
+ {'start': '7880', 'stop': '9400', 'utterance': 'ch'},
115
+ {'start': '9400', 'stop': '9960', 'utterance': 'ix'},
116
+ {'start': '9960', 'stop': '10680', 'utterance': 'n'},
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+ {'start': '10680', 'stop': '13480', 'utterance': 'ae'},
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+ {'start': '13480', 'stop': '15680', 'utterance': 'kcl'},
119
+ {'start': '15680', 'stop': '15880', 'utterance': 't'},
120
+ {'start': '15880', 'stop': '16920', 'utterance': 'ix'},
121
+ {'start': '16920', 'stop': '18297', 'utterance': 'v'},
122
+ {'start': '18297', 'stop': '18882', 'utterance': 'r'},
123
+ {'start': '18882', 'stop': '19480', 'utterance': 'ix'},
124
+ {'start': '19480', 'stop': '21723', 'utterance': 'f'},
125
+ {'start': '21723', 'stop': '22516', 'utterance': 'y'},
126
+ {'start': '22516', 'stop': '24040', 'utterance': 'ux'},
127
+ {'start': '24040', 'stop': '25190', 'utterance': 'zh'},
128
+ {'start': '25190', 'stop': '27080', 'utterance': 'el'},
129
+ {'start': '27080', 'stop': '28160', 'utterance': 'bcl'},
130
+ {'start': '28160', 'stop': '28560', 'utterance': 'b'},
131
+ {'start': '28560', 'stop': '30120', 'utterance': 'iy'},
132
+ {'start': '30120', 'stop': '31832', 'utterance': 'y'},
133
+ {'start': '31832', 'stop': '33240', 'utterance': 'ux'},
134
+ {'start': '33240', 'stop': '34640', 'utterance': 's'},
135
+ {'start': '34640', 'stop': '35968', 'utterance': 'f'},
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+ {'start': '35968', 'stop': '37720', 'utterance': 'el'},
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+ {'start': '37720', 'stop': '39920', 'utterance': 'h#'}],
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+ 'word_detail': [{'start': '1960', 'stop': '4000', 'utterance': 'would'},
139
+ {'start': '4000', 'stop': '9400', 'utterance': 'such'},
140
+ {'start': '9400', 'stop': '10680', 'utterance': 'an'},
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+ {'start': '10680', 'stop': '15880', 'utterance': 'act'},
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+ {'start': '15880', 'stop': '18297', 'utterance': 'of'},
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+ {'start': '18297', 'stop': '27080', 'utterance': 'refusal'},
144
+ {'start': '27080', 'stop': '30120', 'utterance': 'be'},
145
+ {'start': '30120', 'stop': '37720', 'utterance': 'useful'}],
146
 
147
  'dialect_region': 'DR4',
148
  'sentence_type': 'SI',
 
179
  testing. The default train-test split will be made available on data download.
180
 
181
  The test data alone has a core portion containing 24 speakers, 2 male and 1 female
182
+ from each dialect region. More information about the test set can
183
  be found [here](https://catalog.ldc.upenn.edu/docs/LDC93S1/TESTSET.TXT)
184
 
185