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Update files from the datasets library (from 1.18.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.18.0

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  1. README.md +157 -53
  2. dataset_infos.json +0 -0
  3. dummy/bn-en/{0.0.0 → 1.3.0}/dummy_data.zip +2 -2
  4. dummy/bn-gu/0.0.0/dummy_data.zip.lock 6.15.59 AM +0 -0
  5. dummy/bn-gu/{0.0.0 → 1.3.0}/dummy_data.zip +2 -2
  6. dummy/bn-hi/0.0.0/dummy_data.zip.lock 6.16.17 AM +0 -0
  7. dummy/{bn-ml/0.0.0 → bn-hi/1.3.0}/dummy_data.zip +2 -2
  8. dummy/{bn-hi/0.0.0 → bn-ml/1.3.0}/dummy_data.zip +2 -2
  9. dummy/bn-mr/0.0.0/dummy_data.zip +0 -3
  10. dummy/bn-mr/1.3.0/dummy_data.zip +3 -0
  11. dummy/bn-or/0.0.0/dummy_data.zip +0 -3
  12. dummy/bn-or/1.3.0/dummy_data.zip +3 -0
  13. dummy/bn-pa/0.0.0/dummy_data.zip +0 -3
  14. dummy/bn-pa/1.3.0/dummy_data.zip +3 -0
  15. dummy/bn-ta/0.0.0/dummy_data.zip +0 -3
  16. dummy/bn-ta/1.3.0/dummy_data.zip +3 -0
  17. dummy/bn-te/0.0.0/dummy_data.zip +0 -3
  18. dummy/bn-te/1.3.0/dummy_data.zip +3 -0
  19. dummy/bn-ur/0.0.0/dummy_data.zip +0 -3
  20. dummy/bn-ur/1.3.0/dummy_data.zip +3 -0
  21. dummy/en-gu/0.0.0/dummy_data.zip +0 -3
  22. dummy/en-gu/1.3.0/dummy_data.zip +3 -0
  23. dummy/en-hi/0.0.0/dummy_data.zip +0 -3
  24. dummy/en-hi/1.3.0/dummy_data.zip +3 -0
  25. dummy/en-ml/{0.0.0 → 1.3.0}/dummy_data.zip +2 -2
  26. dummy/en-mr/0.0.0/dummy_data.zip +0 -3
  27. dummy/en-mr/1.3.0/dummy_data.zip +3 -0
  28. dummy/en-or/0.0.0/dummy_data.zip +0 -3
  29. dummy/en-or/1.3.0/dummy_data.zip +3 -0
  30. dummy/en-pa/0.0.0/dummy_data.zip +0 -3
  31. dummy/en-pa/1.3.0/dummy_data.zip +3 -0
  32. dummy/en-ta/0.0.0/dummy_data.zip +0 -3
  33. dummy/en-ta/1.3.0/dummy_data.zip +3 -0
  34. dummy/en-te/0.0.0/dummy_data.zip +0 -3
  35. dummy/en-te/1.3.0/dummy_data.zip +3 -0
  36. dummy/en-ur/0.0.0/dummy_data.zip +0 -3
  37. dummy/en-ur/1.3.0/dummy_data.zip +3 -0
  38. dummy/gu-hi/0.0.0/dummy_data.zip +0 -3
  39. dummy/gu-hi/1.3.0/dummy_data.zip +3 -0
  40. dummy/gu-ml/0.0.0/dummy_data.zip +0 -3
  41. dummy/gu-ml/1.3.0/dummy_data.zip +3 -0
  42. dummy/gu-mr/0.0.0/dummy_data.zip +0 -3
  43. dummy/gu-mr/1.3.0/dummy_data.zip +3 -0
  44. dummy/gu-or/0.0.0/dummy_data.zip +0 -3
  45. dummy/gu-or/1.3.0/dummy_data.zip +3 -0
  46. dummy/gu-pa/0.0.0/dummy_data.zip +0 -3
  47. dummy/gu-pa/1.3.0/dummy_data.zip +3 -0
  48. dummy/gu-ta/0.0.0/dummy_data.zip +0 -3
  49. dummy/gu-ta/1.3.0/dummy_data.zip +3 -0
  50. dummy/gu-te/0.0.0/dummy_data.zip +0 -3
README.md CHANGED
@@ -1,7 +1,9 @@
1
  ---
2
  task_categories:
 
3
  - sequence-modeling
4
  task_ids:
 
5
  - language-modeling
6
  multilinguality:
7
  - translation
@@ -27,23 +29,23 @@ size_categories:
27
  bn-en:
28
  - 10K<n<100K
29
  bn-gu:
30
- - 1K<n<10K
31
  bn-hi:
32
  - 10K<n<100K
33
  bn-ml:
34
- - 1K<n<10K
35
  bn-mr:
36
- - 1K<n<10K
37
  bn-or:
38
- - n<1K
39
  bn-pa:
40
- - 1K<n<10K
41
  bn-ta:
42
- - 1K<n<10K
43
  bn-te:
44
- - n<1K
45
  bn-ur:
46
- - 1K<n<10K
47
  en-gu:
48
  - 10K<n<100K
49
  en-hi:
@@ -51,89 +53,89 @@ size_categories:
51
  en-ml:
52
  - 10K<n<100K
53
  en-mr:
54
- - 10K<n<100K
55
  en-or:
56
- - 1K<n<10K
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- en-pa:
58
  - 10K<n<100K
 
 
59
  en-ta:
60
- - 10K<n<100K
61
  en-te:
62
- - 1K<n<10K
63
- en-ur:
64
  - 10K<n<100K
 
 
65
  gu-hi:
66
  - 10K<n<100K
67
  gu-ml:
68
- - 1K<n<10K
69
  gu-mr:
70
- - 1K<n<10K
71
  gu-or:
72
- - n<1K
73
  gu-pa:
74
- - 1K<n<10K
75
  gu-ta:
76
- - 1K<n<10K
77
  gu-te:
78
- - 1K<n<10K
79
  gu-ur:
80
- - 1K<n<10K
81
  hi-ml:
82
- - 1K<n<10K
83
  hi-mr:
84
  - 10K<n<100K
85
  hi-or:
86
- - 1K<n<10K
87
  hi-pa:
88
- - 1K<n<10K
89
  hi-ta:
90
  - 10K<n<100K
91
  hi-te:
92
- - 1K<n<10K
93
  hi-ur:
94
- - 1K<n<10K
95
  ml-mr:
96
- - 1K<n<10K
97
  ml-or:
98
- - n<1K
99
  ml-pa:
100
- - 1K<n<10K
101
  ml-ta:
102
- - 1K<n<10K
103
  ml-te:
104
- - 1K<n<10K
105
  ml-ur:
106
- - 1K<n<10K
107
  mr-or:
108
- - n<1K
109
  mr-pa:
110
- - 1K<n<10K
111
  mr-ta:
112
  - 10K<n<100K
113
  mr-te:
114
- - n<1K
115
  mr-ur:
116
- - 1K<n<10K
117
  or-pa:
118
- - n<1K
119
  or-ta:
120
- - n<1K
121
  or-te:
122
- - n<1K
123
  or-ur:
124
- - n<1K
125
  pa-ta:
126
- - 1K<n<10K
127
  pa-te:
128
- - 1K<n<10K
129
  pa-ur:
130
- - 1K<n<10K
131
  ta-te:
132
- - 1K<n<10K
133
  ta-ur:
134
- - 1K<n<10K
135
  te-ur:
136
- - n<1K
137
  licenses:
138
  - cc-by-4-0
139
  paperswithcode_id: null
@@ -143,6 +145,7 @@ pretty_name: CVIT PIB
143
  # Dataset Card for CVIT PIB
144
 
145
  ## Table of Contents
 
146
  - [Dataset Description](#dataset-description)
147
  - [Dataset Summary](#dataset-summary)
148
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
@@ -166,7 +169,7 @@ pretty_name: CVIT PIB
166
  - [Citation Information](#citation-information)
167
  - [Contributions](#contributions)
168
 
169
- ### Dataset Description
170
 
171
  - **Homepage:** http://preon.iiit.ac.in/~jerin/bhasha/
172
  - **Paper:** https://arxiv.org/abs/2008.04860
@@ -176,21 +179,122 @@ pretty_name: CVIT PIB
176
 
177
  This dataset is the large scale sentence aligned corpus in 11 Indian languages, viz. CVIT-PIB corpus that is the largest multilingual corpus available for Indian languages.
178
 
 
 
 
 
179
  ### Languages
180
 
181
  Parallel data for following languages [en, bn, gu, hi, ml, mr, pa, or, ta, te, ur] are covered.
182
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
183
  ### Citation Information
184
 
185
  ```
186
- @InProceedings{cvit-pib:multilingual-corpus,
187
- title = {Revisiting Low Resource Status of Indian Languages in Machine Translation},
188
- authors={Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri, C.V. Jawahar
189
- },
190
- year={2020}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
191
  }
192
  ```
193
 
194
  ### Contributions
195
 
196
- Thanks to [@vasudevgupta7](https://github.com/vasudevgupta7) for adding this dataset.
 
 
1
  ---
2
  task_categories:
3
+ - conditional-text-generation
4
  - sequence-modeling
5
  task_ids:
6
+ - machine-translation
7
  - language-modeling
8
  multilinguality:
9
  - translation
 
29
  bn-en:
30
  - 10K<n<100K
31
  bn-gu:
32
+ - 10K<n<100K
33
  bn-hi:
34
  - 10K<n<100K
35
  bn-ml:
36
+ - 10K<n<100K
37
  bn-mr:
38
+ - 10K<n<100K
39
  bn-or:
40
+ - 10K<n<100K
41
  bn-pa:
42
+ - 10K<n<100K
43
  bn-ta:
44
+ - 10K<n<100K
45
  bn-te:
46
+ - 10K<n<100K
47
  bn-ur:
48
+ - 10K<n<100K
49
  en-gu:
50
  - 10K<n<100K
51
  en-hi:
 
53
  en-ml:
54
  - 10K<n<100K
55
  en-mr:
56
+ - 100K<n<1M
57
  en-or:
 
 
58
  - 10K<n<100K
59
+ en-pa:
60
+ - 100K<n<1M
61
  en-ta:
62
+ - 100K<n<1M
63
  en-te:
 
 
64
  - 10K<n<100K
65
+ en-ur:
66
+ - 100K<n<1M
67
  gu-hi:
68
  - 10K<n<100K
69
  gu-ml:
70
+ - 10K<n<100K
71
  gu-mr:
72
+ - 10K<n<100K
73
  gu-or:
74
+ - 10K<n<100K
75
  gu-pa:
76
+ - 10K<n<100K
77
  gu-ta:
78
+ - 10K<n<100K
79
  gu-te:
80
+ - 10K<n<100K
81
  gu-ur:
82
+ - 10K<n<100K
83
  hi-ml:
84
+ - 10K<n<100K
85
  hi-mr:
86
  - 10K<n<100K
87
  hi-or:
88
+ - 10K<n<100K
89
  hi-pa:
90
+ - 10K<n<100K
91
  hi-ta:
92
  - 10K<n<100K
93
  hi-te:
94
+ - 10K<n<100K
95
  hi-ur:
96
+ - 100K<n<1M
97
  ml-mr:
98
+ - 10K<n<100K
99
  ml-or:
100
+ - 10K<n<100K
101
  ml-pa:
102
+ - 10K<n<100K
103
  ml-ta:
104
+ - 10K<n<100K
105
  ml-te:
106
+ - 10K<n<100K
107
  ml-ur:
108
+ - 10K<n<100K
109
  mr-or:
110
+ - 10K<n<100K
111
  mr-pa:
112
+ - 10K<n<100K
113
  mr-ta:
114
  - 10K<n<100K
115
  mr-te:
116
+ - 10K<n<100K
117
  mr-ur:
118
+ - 10K<n<100K
119
  or-pa:
120
+ - 10K<n<100K
121
  or-ta:
122
+ - 10K<n<100K
123
  or-te:
124
+ - 10K<n<100K
125
  or-ur:
126
+ - 10K<n<100K
127
  pa-ta:
128
+ - 10K<n<100K
129
  pa-te:
130
+ - 10K<n<100K
131
  pa-ur:
132
+ - 10K<n<100K
133
  ta-te:
134
+ - 10K<n<100K
135
  ta-ur:
136
+ - 10K<n<100K
137
  te-ur:
138
+ - 10K<n<100K
139
  licenses:
140
  - cc-by-4-0
141
  paperswithcode_id: null
 
145
  # Dataset Card for CVIT PIB
146
 
147
  ## Table of Contents
148
+ - [Table of Contents](#table-of-contents)
149
  - [Dataset Description](#dataset-description)
150
  - [Dataset Summary](#dataset-summary)
151
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
 
169
  - [Citation Information](#citation-information)
170
  - [Contributions](#contributions)
171
 
172
+ ## Dataset Description
173
 
174
  - **Homepage:** http://preon.iiit.ac.in/~jerin/bhasha/
175
  - **Paper:** https://arxiv.org/abs/2008.04860
 
179
 
180
  This dataset is the large scale sentence aligned corpus in 11 Indian languages, viz. CVIT-PIB corpus that is the largest multilingual corpus available for Indian languages.
181
 
182
+ ### Supported Tasks and Leaderboards
183
+
184
+ - Machine Translation
185
+
186
  ### Languages
187
 
188
  Parallel data for following languages [en, bn, gu, hi, ml, mr, pa, or, ta, te, ur] are covered.
189
 
190
+ ## Dataset Structure
191
+
192
+ ### Data Instances
193
+
194
+ An example for the "gu-pa" language pair:
195
+ ```
196
+ {
197
+ 'translation': {
198
+ 'gu': 'એવો નિર્ણય લેવાયો હતો કે ખંતપૂર્વકની કામગીરી હાથ ધરવા, કાયદેસર અને ટેકનિકલ મૂલ્યાંકન કરવા, વેન્ચર કેપિટલ ઇન્વેસ્ટમેન્ટ સમિતિની બેઠક યોજવા વગેરે એઆઇએફને કરવામાં આવેલ પ્રતિબદ્ધતાના 0.50 ટકા સુધી અને બાકીની રકમ એફએફએસને પૂર્ણ કરવામાં આવશે.',
199
+ 'pa': 'ਇਹ ਵੀ ਫੈਸਲਾ ਕੀਤਾ ਗਿਆ ਕਿ ਐੱਫਆਈਆਈ ਅਤੇ ਬਕਾਏ ਲਈ ਕੀਤੀਆਂ ਗਈਆਂ ਵਚਨਬੱਧਤਾਵਾਂ ਦੇ 0.50 % ਦੀ ਸੀਮਾ ਤੱਕ ਐੱਫਈਐੱਸ ਨੂੰ ਮਿਲਿਆ ਜਾਏਗਾ, ਇਸ ਨਾਲ ਉੱਦਮ ਪੂੰਜੀ ਨਿਵੇਸ਼ ਕਮੇਟੀ ਦੀ ਬੈਠਕ ਦਾ ਆਯੋਜਨ ਉਚਿਤ ਸਾਵਧਾਨੀ, ਕਾਨੂੰਨੀ ਅਤੇ ਤਕਨੀਕੀ ਮੁੱਲਾਂਕਣ ਲਈ ਸੰਚਾਲਨ ਖਰਚ ਆਦਿ ਦੀ ਪੂਰਤੀ ਹੋਵੇਗੀ।'
200
+ }
201
+ }
202
+ ```
203
+
204
+ ### Data Fields
205
+
206
+ - `translation`: Translation field containing the parallel text for the pair of languages.
207
+
208
+ ### Data Splits
209
+
210
+ The dataset is in a single "train" split.
211
+
212
+ ## Dataset Creation
213
+
214
+ ### Curation Rationale
215
+
216
+ [More Information Needed]
217
+
218
+ ### Source Data
219
+
220
+ #### Initial Data Collection and Normalization
221
+
222
+ [More Information Needed]
223
+
224
+ #### Who are the source language producers?
225
+
226
+ [More Information Needed]
227
+
228
+ ### Annotations
229
+
230
+ #### Annotation process
231
+
232
+ [More Information Needed]
233
+
234
+ #### Who are the annotators?
235
+
236
+ [More Information Needed]
237
+
238
+ ### Personal and Sensitive Information
239
+
240
+ [More Information Needed]
241
+
242
+ ## Considerations for Using the Data
243
+
244
+ ### Social Impact of Dataset
245
+
246
+ [More Information Needed]
247
+
248
+ ### Discussion of Biases
249
+
250
+ [More Information Needed]
251
+
252
+ ### Other Known Limitations
253
+
254
+ [More Information Needed]
255
+
256
+ ## Additional Information
257
+
258
+ ### Dataset Curators
259
+
260
+ [More Information Needed]
261
+
262
+ ### Licensing Information
263
+
264
+ [Creative Commons Attribution-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/) license.
265
+
266
  ### Citation Information
267
 
268
  ```
269
+ @inproceedings{siripragada-etal-2020-multilingual,
270
+ title = "A Multilingual Parallel Corpora Collection Effort for {I}ndian Languages",
271
+ author = "Siripragada, Shashank and
272
+ Philip, Jerin and
273
+ Namboodiri, Vinay P. and
274
+ Jawahar, C V",
275
+ booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
276
+ month = may,
277
+ year = "2020",
278
+ address = "Marseille, France",
279
+ publisher = "European Language Resources Association",
280
+ url = "https://aclanthology.org/2020.lrec-1.462",
281
+ pages = "3743--3751",
282
+ language = "English",
283
+ ISBN = "979-10-95546-34-4",
284
+ }
285
+ @article{2020,
286
+ title={Revisiting Low Resource Status of Indian Languages in Machine Translation},
287
+ url={http://dx.doi.org/10.1145/3430984.3431026},
288
+ DOI={10.1145/3430984.3431026},
289
+ journal={8th ACM IKDD CODS and 26th COMAD},
290
+ publisher={ACM},
291
+ author={Philip, Jerin and Siripragada, Shashank and Namboodiri, Vinay P. and Jawahar, C. V.},
292
+ year={2020},
293
+ month={Dec}
294
  }
295
  ```
296
 
297
  ### Contributions
298
 
299
+ Thanks to [@vasudevgupta7](https://github.com/vasudevgupta7) for adding this dataset,
300
+ and [@albertvillanova](https://github.com/albertvillanova) for updating its version.
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