Convert dataset to Parquet (part 00002-of-00003)

#9
by albertvillanova HF staff - opened
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Files changed (50) hide show
  1. README.md +80 -44
  2. all/test.clean-00000-of-00001.parquet +3 -0
  3. all/test.other-00000-of-00001.parquet +3 -0
  4. all/train.other.500-00038-of-00064.parquet +3 -0
  5. all/train.other.500-00039-of-00064.parquet +3 -0
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  28. all/train.other.500-00062-of-00064.parquet +3 -0
  29. all/train.other.500-00063-of-00064.parquet +3 -0
  30. all/validation.clean-00000-of-00001.parquet +3 -0
  31. all/validation.other-00000-of-00001.parquet +3 -0
  32. clean/test-00000-of-00001.parquet +3 -0
  33. clean/train.100-00000-of-00014.parquet +3 -0
  34. clean/train.100-00001-of-00014.parquet +3 -0
  35. clean/train.100-00002-of-00014.parquet +3 -0
  36. clean/train.100-00003-of-00014.parquet +3 -0
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  38. clean/train.100-00005-of-00014.parquet +3 -0
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  45. clean/train.100-00012-of-00014.parquet +3 -0
  46. clean/train.100-00013-of-00014.parquet +3 -0
  47. clean/train.360-00000-of-00048.parquet +3 -0
  48. clean/train.360-00001-of-00048.parquet +3 -0
  49. clean/train.360-00002-of-00048.parquet +3 -0
  50. clean/train.360-00003-of-00048.parquet +3 -0
README.md CHANGED
@@ -1,5 +1,4 @@
1
  ---
2
- pretty_name: LibriSpeech
3
  annotations_creators:
4
  - expert-generated
5
  language_creators:
@@ -11,7 +10,6 @@ license:
11
  - cc-by-4.0
12
  multilinguality:
13
  - monolingual
14
- paperswithcode_id: librispeech-1
15
  size_categories:
16
  - 100K<n<1M
17
  source_datasets:
@@ -21,8 +19,10 @@ task_categories:
21
  - audio-classification
22
  task_ids:
23
  - speaker-identification
 
 
24
  dataset_info:
25
- - config_name: clean
26
  features:
27
  - name: file
28
  dtype: string
@@ -39,21 +39,30 @@ dataset_info:
39
  - name: id
40
  dtype: string
41
  splits:
42
- - name: train.100
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- num_bytes: 6619683041
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  num_examples: 28539
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- - name: train.360
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- num_bytes: 23898214592
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  num_examples: 104014
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- - name: validation
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- num_bytes: 359572231
 
 
 
50
  num_examples: 2703
51
- - name: test
52
- num_bytes: 367705423
 
 
 
53
  num_examples: 2620
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- download_size: 30121377654
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- dataset_size: 31245175287
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- - config_name: other
 
 
 
57
  features:
58
  - name: file
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  dtype: string
@@ -70,18 +79,21 @@ dataset_info:
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  - name: id
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  dtype: string
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  splits:
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- - name: train.500
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- num_bytes: 31810256902
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- num_examples: 148688
 
 
 
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  - name: validation
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- num_bytes: 337283304
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- num_examples: 2864
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  - name: test
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- num_bytes: 352396474
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- num_examples: 2939
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- download_size: 31236565377
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- dataset_size: 32499936680
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- - config_name: all
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  features:
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  - name: file
87
  dtype: string
@@ -98,29 +110,53 @@ dataset_info:
98
  - name: id
99
  dtype: string
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  splits:
101
- - name: train.clean.100
102
- num_bytes: 6627791685
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- num_examples: 28539
104
- - name: train.clean.360
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- num_bytes: 23927767570
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- num_examples: 104014
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- - name: train.other.500
108
- num_bytes: 31852502880
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  num_examples: 148688
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- - name: validation.clean
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- num_bytes: 359505691
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- num_examples: 2703
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- - name: validation.other
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- num_bytes: 337213112
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  num_examples: 2864
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- - name: test.clean
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- num_bytes: 368449831
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- num_examples: 2620
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- - name: test.other
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- num_bytes: 353231518
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  num_examples: 2939
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- download_size: 61357943031
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- dataset_size: 63826462287
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
124
  ---
125
 
126
  # Dataset Card for librispeech_asr
 
1
  ---
 
2
  annotations_creators:
3
  - expert-generated
4
  language_creators:
 
10
  - cc-by-4.0
11
  multilinguality:
12
  - monolingual
 
13
  size_categories:
14
  - 100K<n<1M
15
  source_datasets:
 
19
  - audio-classification
20
  task_ids:
21
  - speaker-identification
22
+ paperswithcode_id: librispeech-1
23
+ pretty_name: LibriSpeech
24
  dataset_info:
25
+ - config_name: all
26
  features:
27
  - name: file
28
  dtype: string
 
39
  - name: id
40
  dtype: string
41
  splits:
42
+ - name: train.clean.100
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+ num_bytes: 6622570603.062
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  num_examples: 28539
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+ - name: train.clean.360
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+ num_bytes: 23908784883.828
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  num_examples: 104014
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+ - name: train.other.500
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+ num_bytes: 31825343507.584
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+ num_examples: 148688
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+ - name: validation.clean
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+ num_bytes: 359846424.966
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  num_examples: 2703
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+ - name: validation.other
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+ num_bytes: 337574209.648
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+ num_examples: 2864
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+ - name: test.clean
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+ num_bytes: 367972026.42
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  num_examples: 2620
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+ - name: test.other
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+ num_bytes: 352695089.154
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+ num_examples: 2939
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+ download_size: 61837670302
64
+ dataset_size: 63774786744.662
65
+ - config_name: clean
66
  features:
67
  - name: file
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  dtype: string
 
79
  - name: id
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  dtype: string
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  splits:
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+ - name: train.100
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+ num_bytes: 6622570603.062
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+ num_examples: 28539
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+ - name: train.360
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+ num_bytes: 23908784883.828
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+ num_examples: 104014
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  - name: validation
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+ num_bytes: 359846424.966
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+ num_examples: 2703
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  - name: test
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+ num_bytes: 367972026.42
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+ num_examples: 2620
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+ download_size: 30346322580
95
+ dataset_size: 31259173938.275997
96
+ - config_name: other
97
  features:
98
  - name: file
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  dtype: string
 
110
  - name: id
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  dtype: string
112
  splits:
113
+ - name: train.500
114
+ num_bytes: 31825343507.584
 
 
 
 
 
 
115
  num_examples: 148688
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+ - name: validation
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+ num_bytes: 337574209.648
 
 
 
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  num_examples: 2864
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+ - name: test
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+ num_bytes: 352695089.154
 
 
 
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  num_examples: 2939
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+ download_size: 31491347722
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+ dataset_size: 32515612806.385998
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+ configs:
125
+ - config_name: all
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+ data_files:
127
+ - split: train.clean.100
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+ path: all/train.clean.100-*
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+ - split: train.clean.360
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+ path: all/train.clean.360-*
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+ - split: train.other.500
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+ path: all/train.other.500-*
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+ - split: validation.clean
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+ path: all/validation.clean-*
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+ - split: validation.other
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+ path: all/validation.other-*
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+ - split: test.clean
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+ path: all/test.clean-*
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+ - split: test.other
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+ path: all/test.other-*
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+ default: true
142
+ - config_name: clean
143
+ data_files:
144
+ - split: train.100
145
+ path: clean/train.100-*
146
+ - split: train.360
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+ path: clean/train.360-*
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+ - split: validation
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+ path: clean/validation-*
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+ - split: test
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+ path: clean/test-*
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+ - config_name: other
153
+ data_files:
154
+ - split: train.500
155
+ path: other/train.500-*
156
+ - split: validation
157
+ path: other/validation-*
158
+ - split: test
159
+ path: other/test-*
160
  ---
161
 
162
  # Dataset Card for librispeech_asr
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