Datasets:

Modalities:
Text
ArXiv:
Libraries:
Datasets
License:
albertvillanova HF staff julien-c HF staff commited on
Commit
d74c67a
1 Parent(s): 4a45d93

Fix `license` metadata (#1)

Browse files

- Fix `license` metadata (c06ddcc0ab4e828565e32991b19ba7251d0b9fa9)


Co-authored-by: Julien Chaumond <[email protected]>

Files changed (1) hide show
  1. README.md +216 -216
README.md CHANGED
@@ -1,216 +1,216 @@
1
- ---
2
- annotations_creators:
3
- - no-annotation
4
- language_creators:
5
- - found
6
- languages:
7
- - as
8
- - bn
9
- - gu
10
- - hi
11
- - kn
12
- - ml
13
- - mr
14
- - or
15
- - pa
16
- - ta
17
- - te
18
- licenses:
19
- - cc-by-nc-4.0
20
- multilinguality:
21
- - multilingual
22
- pretty_name: IndicParaphrase
23
- size_categories:
24
- - 1M<n<10M
25
- source_datasets:
26
- - original
27
- task_categories:
28
- - conditional-text-generation
29
- task_ids:
30
- - conditional-text-generation-other-paraphrase-generation
31
- ---
32
-
33
- # Dataset Card for "IndicParaphrase"
34
-
35
- ## Table of Contents
36
- - [Dataset Card Creation Guide](#dataset-card-creation-guide)
37
- - [Table of Contents](#table-of-contents)
38
- - [Dataset Description](#dataset-description)
39
- - [Dataset Summary](#dataset-summary)
40
- - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
41
- - [Languages](#languages)
42
- - [Dataset Structure](#dataset-structure)
43
- - [Data Instances](#data-instances)
44
- - [Data Fields](#data-fields)
45
- - [Data Splits](#data-splits)
46
- - [Dataset Creation](#dataset-creation)
47
- - [Curation Rationale](#curation-rationale)
48
- - [Source Data](#source-data)
49
- - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
50
- - [Who are the source language producers?](#who-are-the-source-language-producers)
51
- - [Annotations](#annotations)
52
- - [Annotation process](#annotation-process)
53
- - [Who are the annotators?](#who-are-the-annotators)
54
- - [Personal and Sensitive Information](#personal-and-sensitive-information)
55
- - [Considerations for Using the Data](#considerations-for-using-the-data)
56
- - [Social Impact of Dataset](#social-impact-of-dataset)
57
- - [Discussion of Biases](#discussion-of-biases)
58
- - [Other Known Limitations](#other-known-limitations)
59
- - [Additional Information](#additional-information)
60
- - [Dataset Curators](#dataset-curators)
61
- - [Licensing Information](#licensing-information)
62
- - [Citation Information](#citation-information)
63
- - [Contributions](#contributions)
64
-
65
- ## Dataset Description
66
-
67
- - **Homepage:** https://indicnlp.ai4bharat.org/indicnlg-suite
68
- - **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437)
69
- - **Point of Contact:**
70
-
71
- ### Dataset Summary
72
-
73
- IndicParaphrase is the paraphrasing dataset released as part of IndicNLG Suite. Each
74
- input is paired with up to 5 references. We create this dataset in eleven
75
- languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total
76
- size of the dataset is 5.57M.
77
-
78
-
79
- ### Supported Tasks and Leaderboards
80
-
81
- **Tasks:** Paraphrase generation
82
-
83
- **Leaderboards:** Currently there is no Leaderboard for this dataset.
84
-
85
- ### Languages
86
- - `Assamese (as)`
87
- - `Bengali (bn)`
88
- - `Gujarati (gu)`
89
- - `Kannada (kn)`
90
- - `Hindi (hi)`
91
- - `Malayalam (ml)`
92
- - `Marathi (mr)`
93
- - `Oriya (or)`
94
- - `Punjabi (pa)`
95
- - `Tamil (ta)`
96
- - `Telugu (te)`
97
-
98
- ## Dataset Structure
99
-
100
- ### Data Instances
101
-
102
- One example from the `hi` dataset is given below in JSON format.
103
- ```
104
- {
105
- 'id': '1',
106
- 'input': 'निजी क्षेत्र में प्रदेश की 75 प्रतिशत नौकरियां हरियाणा के युवाओं के लिए आरक्षित की जाएगी।',
107
- 'references': ['प्रदेश के युवाओं को निजी उद्योगों में 75 प्रतिशत आरक्षण देंगे।',
108
- 'युवाओं के लिए हरियाणा की सभी प्राइवेट नौकरियों में 75 प्रतिशत आरक्षण लागू किया जाएगा।',
109
- 'निजी क्षेत्र में 75 प्रतिशत आरक्षित लागू कर प्रदेश के युवाओं का रोजगार सुनिश्चत किया जाएगा।',
110
- 'प्राईवेट कम्पनियों में हरियाणा के नौजवानों को 75 प्रतिशत नौकरियां में आरक्षित की जाएगी।',
111
- 'प्रदेश की प्राइवेट फैक्टरियों में 75 फीसदी रोजगार हरियाणा के युवाओं के लिए आरक्षित किए जाएंगे।'],
112
- 'target': 'प्रदेश के युवाओं को निजी उद्योगों में 75 प्रतिशत आरक्षण देंगे।'
113
- }
114
- ```
115
-
116
- ### Data Fields
117
- - `id (string)`: Unique identifier.
118
- - `pivot (string)`: English sentence used as the pivot
119
- - `input (string)`: Input sentence
120
- - `references (list of strings)`: Paraphrases of `input`, ordered according to the least n-gram overlap
121
- - `target (string)`: The first reference (most dissimilar paraphrase)
122
-
123
-
124
-
125
- ### Data Splits
126
-
127
- We first select 10K instances each for the validation and test and put remaining in the training dataset. `Assamese (as)`, due to its low-resource nature, could only be split into validation and test sets with 4,420 examples each.
128
- Individual dataset with train-dev-test example counts are given below:
129
-
130
-
131
- Language | ISO 639-1 Code |Train | Dev | Test |
132
- --------------|----------------|-------|-----|------|
133
- Assamese | as | - | 4,420 | 4,420 |
134
- Bengali | bn | 890,445 | 10,000 | 10,000 |
135
- Gujarati | gu | 379,202 | 10,000 | 10,000 |
136
- Hindi | hi | 929,507 | 10,000 | 10,000 |
137
- Kannada | kn | 522,148 | 10,000 | 10,000 |
138
- Malayalam | ml |761,933 | 10,000 | 10,000 |
139
- Marathi | mr |406,003 | 10,000 | 10,000 |
140
- Oriya | or | 105,970 | 10,000 | 10,000 |
141
- Punjabi | pa | 266,704 | 10,000 | 10,000 |
142
- Tamil | ta | 497,798 | 10,000 | 10,000 |
143
- Telugu | te | 596,283 | 10,000 | 10,000 |
144
-
145
-
146
- ## Dataset Creation
147
-
148
- ### Curation Rationale
149
-
150
- [More information needed]
151
-
152
- ### Source Data
153
-
154
- [Samanantar dataset](https://indicnlp.ai4bharat.org/samanantar/)
155
-
156
- #### Initial Data Collection and Normalization
157
-
158
- [Detailed in the paper](https://arxiv.org/abs/2203.05437)
159
-
160
-
161
- #### Who are the source language producers?
162
-
163
- [Detailed in the paper](https://arxiv.org/abs/2203.05437)
164
-
165
-
166
- ### Annotations
167
- [More information needed]
168
- #### Annotation process
169
- [More information needed]
170
-
171
- #### Who are the annotators?
172
-
173
- [More information needed]
174
-
175
- ### Personal and Sensitive Information
176
-
177
- [More information needed]
178
-
179
- ## Considerations for Using the Data
180
-
181
- ### Social Impact of Dataset
182
-
183
- [More information needed]
184
-
185
- ### Discussion of Biases
186
-
187
- [More information needed]
188
-
189
- ### Other Known Limitations
190
-
191
- [More information needed]
192
-
193
- ## Additional Information
194
-
195
- ### Dataset Curators
196
-
197
- [More information needed]
198
-
199
- ### Licensing Information
200
-
201
- Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
202
- ### Citation Information
203
-
204
- If you use any of the datasets, models or code modules, please cite the following paper:
205
- ```
206
- @inproceedings{Kumar2022IndicNLGSM,
207
- title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
208
- author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
209
- year={2022},
210
- url = "https://arxiv.org/abs/2203.05437"
211
- }
212
- ```
213
-
214
-
215
- ### Contributions
216
-
 
1
+ ---
2
+ annotations_creators:
3
+ - no-annotation
4
+ language_creators:
5
+ - found
6
+ language:
7
+ - as
8
+ - bn
9
+ - gu
10
+ - hi
11
+ - kn
12
+ - ml
13
+ - mr
14
+ - or
15
+ - pa
16
+ - ta
17
+ - te
18
+ license:
19
+ - cc-by-nc-4.0
20
+ multilinguality:
21
+ - multilingual
22
+ pretty_name: IndicParaphrase
23
+ size_categories:
24
+ - 1M<n<10M
25
+ source_datasets:
26
+ - original
27
+ task_categories:
28
+ - conditional-text-generation
29
+ task_ids:
30
+ - conditional-text-generation-other-paraphrase-generation
31
+ ---
32
+
33
+ # Dataset Card for "IndicParaphrase"
34
+
35
+ ## Table of Contents
36
+ - [Dataset Card Creation Guide](#dataset-card-creation-guide)
37
+ - [Table of Contents](#table-of-contents)
38
+ - [Dataset Description](#dataset-description)
39
+ - [Dataset Summary](#dataset-summary)
40
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
41
+ - [Languages](#languages)
42
+ - [Dataset Structure](#dataset-structure)
43
+ - [Data Instances](#data-instances)
44
+ - [Data Fields](#data-fields)
45
+ - [Data Splits](#data-splits)
46
+ - [Dataset Creation](#dataset-creation)
47
+ - [Curation Rationale](#curation-rationale)
48
+ - [Source Data](#source-data)
49
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
50
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
51
+ - [Annotations](#annotations)
52
+ - [Annotation process](#annotation-process)
53
+ - [Who are the annotators?](#who-are-the-annotators)
54
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
55
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
56
+ - [Social Impact of Dataset](#social-impact-of-dataset)
57
+ - [Discussion of Biases](#discussion-of-biases)
58
+ - [Other Known Limitations](#other-known-limitations)
59
+ - [Additional Information](#additional-information)
60
+ - [Dataset Curators](#dataset-curators)
61
+ - [Licensing Information](#licensing-information)
62
+ - [Citation Information](#citation-information)
63
+ - [Contributions](#contributions)
64
+
65
+ ## Dataset Description
66
+
67
+ - **Homepage:** https://indicnlp.ai4bharat.org/indicnlg-suite
68
+ - **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437)
69
+ - **Point of Contact:**
70
+
71
+ ### Dataset Summary
72
+
73
+ IndicParaphrase is the paraphrasing dataset released as part of IndicNLG Suite. Each
74
+ input is paired with up to 5 references. We create this dataset in eleven
75
+ languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total
76
+ size of the dataset is 5.57M.
77
+
78
+
79
+ ### Supported Tasks and Leaderboards
80
+
81
+ **Tasks:** Paraphrase generation
82
+
83
+ **Leaderboards:** Currently there is no Leaderboard for this dataset.
84
+
85
+ ### Languages
86
+ - `Assamese (as)`
87
+ - `Bengali (bn)`
88
+ - `Gujarati (gu)`
89
+ - `Kannada (kn)`
90
+ - `Hindi (hi)`
91
+ - `Malayalam (ml)`
92
+ - `Marathi (mr)`
93
+ - `Oriya (or)`
94
+ - `Punjabi (pa)`
95
+ - `Tamil (ta)`
96
+ - `Telugu (te)`
97
+
98
+ ## Dataset Structure
99
+
100
+ ### Data Instances
101
+
102
+ One example from the `hi` dataset is given below in JSON format.
103
+ ```
104
+ {
105
+ 'id': '1',
106
+ 'input': 'निजी क्षेत्र में प्रदेश की 75 प्रतिशत नौकरियां हरियाणा के युवाओं के लिए आरक्षित की जाएगी।',
107
+ 'references': ['प्रदेश के युवाओं को निजी उद्योगों में 75 प्रतिशत आरक्षण देंगे।',
108
+ 'युवाओं के लिए हरियाणा की सभी प्राइवेट नौकरियों में 75 प्रतिशत आरक्षण लागू किया जाएगा।',
109
+ 'निजी क्षेत्र में 75 प्रतिशत आरक्षित लागू कर प्रदेश के युवाओं का रोजगार सुनिश्चत किया जाएगा।',
110
+ 'प्राईवेट कम्पनियों में हरियाणा के नौजवानों को 75 प्रतिशत नौकरियां में आरक्षित की जाएगी।',
111
+ 'प्रदेश की प्राइवेट फैक्टरियों में 75 फीसदी रोजगार हरियाणा के युवाओं के लिए आरक्षित किए जाएंगे।'],
112
+ 'target': 'प्रदेश के युवाओं को निजी उद्योगों में 75 प्रतिशत आरक्षण देंगे।'
113
+ }
114
+ ```
115
+
116
+ ### Data Fields
117
+ - `id (string)`: Unique identifier.
118
+ - `pivot (string)`: English sentence used as the pivot
119
+ - `input (string)`: Input sentence
120
+ - `references (list of strings)`: Paraphrases of `input`, ordered according to the least n-gram overlap
121
+ - `target (string)`: The first reference (most dissimilar paraphrase)
122
+
123
+
124
+
125
+ ### Data Splits
126
+
127
+ We first select 10K instances each for the validation and test and put remaining in the training dataset. `Assamese (as)`, due to its low-resource nature, could only be split into validation and test sets with 4,420 examples each.
128
+ Individual dataset with train-dev-test example counts are given below:
129
+
130
+
131
+ Language | ISO 639-1 Code |Train | Dev | Test |
132
+ --------------|----------------|-------|-----|------|
133
+ Assamese | as | - | 4,420 | 4,420 |
134
+ Bengali | bn | 890,445 | 10,000 | 10,000 |
135
+ Gujarati | gu | 379,202 | 10,000 | 10,000 |
136
+ Hindi | hi | 929,507 | 10,000 | 10,000 |
137
+ Kannada | kn | 522,148 | 10,000 | 10,000 |
138
+ Malayalam | ml |761,933 | 10,000 | 10,000 |
139
+ Marathi | mr |406,003 | 10,000 | 10,000 |
140
+ Oriya | or | 105,970 | 10,000 | 10,000 |
141
+ Punjabi | pa | 266,704 | 10,000 | 10,000 |
142
+ Tamil | ta | 497,798 | 10,000 | 10,000 |
143
+ Telugu | te | 596,283 | 10,000 | 10,000 |
144
+
145
+
146
+ ## Dataset Creation
147
+
148
+ ### Curation Rationale
149
+
150
+ [More information needed]
151
+
152
+ ### Source Data
153
+
154
+ [Samanantar dataset](https://indicnlp.ai4bharat.org/samanantar/)
155
+
156
+ #### Initial Data Collection and Normalization
157
+
158
+ [Detailed in the paper](https://arxiv.org/abs/2203.05437)
159
+
160
+
161
+ #### Who are the source language producers?
162
+
163
+ [Detailed in the paper](https://arxiv.org/abs/2203.05437)
164
+
165
+
166
+ ### Annotations
167
+ [More information needed]
168
+ #### Annotation process
169
+ [More information needed]
170
+
171
+ #### Who are the annotators?
172
+
173
+ [More information needed]
174
+
175
+ ### Personal and Sensitive Information
176
+
177
+ [More information needed]
178
+
179
+ ## Considerations for Using the Data
180
+
181
+ ### Social Impact of Dataset
182
+
183
+ [More information needed]
184
+
185
+ ### Discussion of Biases
186
+
187
+ [More information needed]
188
+
189
+ ### Other Known Limitations
190
+
191
+ [More information needed]
192
+
193
+ ## Additional Information
194
+
195
+ ### Dataset Curators
196
+
197
+ [More information needed]
198
+
199
+ ### Licensing Information
200
+
201
+ Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders.
202
+ ### Citation Information
203
+
204
+ If you use any of the datasets, models or code modules, please cite the following paper:
205
+ ```
206
+ @inproceedings{Kumar2022IndicNLGSM,
207
+ title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
208
+ author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
209
+ year={2022},
210
+ url = "https://arxiv.org/abs/2203.05437"
211
+ }
212
+ ```
213
+
214
+
215
+ ### Contributions
216
+