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albertvillanova HF staff julien-c HF staff commited on
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Fix `license` metadata (#1)

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- Fix `license` metadata (84bb9d7c04f066a4d169d0bd6218200d21bc31d8)


Co-authored-by: Julien Chaumond <julien-c@users.noreply.huggingface.co>

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  1. README.md +212 -212
README.md CHANGED
@@ -1,213 +1,213 @@
1
- ---
2
- annotations_creators:
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- - no-annotation
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- language_creators:
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- - found
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- languages:
7
- - as
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- - bn
9
- - gu
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- - hi
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- - kn
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- - ml
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- - mr
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- - or
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- - pa
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- - ta
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- - te
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- licenses:
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- - cc-by-nc-4.0
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- multilinguality:
21
- - multilingual
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- pretty_name: IndicQuestionGeneration
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- size_categories:
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- - 98K<n<98K
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- source_datasets:
26
- - we start with the SQuAD question answering dataset repurposed to serve as a question generation dataset. We translate this dataset into different Indic languages.
27
- task_categories:
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- - conditional-text-generation
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- task_ids:
30
- - conditional-text-generation-other-question-generation
31
- ---
32
-
33
- # Dataset Card for "IndicQuestionGeneration"
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-
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- ## 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)
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- - [Dataset Structure](#dataset-structure)
43
- - [Data Instances](#data-instances)
44
- - [Data Fields](#data-fields)
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- - [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)
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- - [Annotations](#annotations)
52
- - [Annotation process](#annotation-process)
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- - [Who are the annotators?](#who-are-the-annotators)
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- - [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)
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- - [Citation Information](#citation-information)
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- - [Contributions](#contributions)
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-
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- ## Dataset Description
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-
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- - **Homepage:** https://indicnlp.ai4bharat.org/indicnlg-suite
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- - **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437)
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- - **Point of Contact:**
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-
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- ### Dataset Summary
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-
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- IndicQuestionGeneration is the question generation dataset released as part of IndicNLG Suite. Each
74
- example has five fields: id, squad_id, answer, context and question. We create this dataset in eleven
75
- languages, including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. This is translated data. The examples in each language are exactly similar but in different languages.
76
- The number of examples in each language is 98,027.
77
-
78
-
79
- ### Supported Tasks and Leaderboards
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-
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- **Tasks:** Question Generation
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-
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- **Leaderboards:** Currently there is no Leaderboard for this dataset.
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-
85
- ### Languages
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- - `Assamese (as)`
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- - `Bengali (bn)`
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- - `Gujarati (gu)`
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- - `Kannada (kn)`
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- - `Hindi (hi)`
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- - `Malayalam (ml)`
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- - `Marathi (mr)`
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- - `Oriya (or)`
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- - `Punjabi (pa)`
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- - `Tamil (ta)`
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- - `Telugu (te)`
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-
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- ## Dataset Structure
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-
100
- ### Data Instances
101
-
102
- One random example from the `hi` dataset is given below in JSON format.
103
- ```
104
- {
105
- "id": 8,
106
- "squad_id": "56be8e613aeaaa14008c90d3",
107
- "answer": "अमेरिकी फुटबॉल सम्मेलन",
108
- "context": "अमेरिकी फुटबॉल सम्मेलन (एएफसी) के चैंपियन डेनवर ब्रोंकोस ने नेशनल फुटबॉल कांफ्रेंस (एनएफसी) की चैंपियन कैरोलिना पैंथर्स को 24-10 से हराकर अपना तीसरा सुपर बाउल खिताब जीता।",
109
- "question": "एएफसी का मतलब क्या है?"
110
- }
111
- ```
112
-
113
- ### Data Fields
114
- - `id (string)`: Unique identifier.
115
- - `squad_id (string)`: Unique identifier in Squad dataset.
116
- - `answer (strings)`: Answer as one of the two inputs.
117
- - `context (string)`: Context, the other input.
118
- - `question (string)`: Question, the output.
119
-
120
-
121
- ### Data Splits
122
-
123
- Here is the number of samples in each split for all the languages.
124
-
125
-
126
-
127
-
128
- Language | ISO 639-1 Code | Train | Dev | Test |
129
- ---------- | ---------- | ---------- | ---------- | ---------- |
130
- Assamese | as | 69,979 | 17,495 | 10,553 |
131
- Bengali | bn | 69,979 | 17,495 | 10,553 |
132
- Gujarati | gu | 69,979 | 17,495 | 10,553 |
133
- Hindi | hi | 69,979 | 17,495 | 10,553 |
134
- Kannada | kn | 69,979 | 17,495 | 10,553 |
135
- Malayalam | ml | 69,979 | 17,495 | 10,553 |
136
- Marathi | mr | 69,979 | 17,495 | 10,553 |
137
- Oriya | or | 69,979 | 17,495 | 10,553 |
138
- Punjabi | pa | 69,979 | 17,495 | 10,553 |
139
- Tamil | ta | 69,979 | 17,495 | 10,553 |
140
- Telugu | te | 69,979 | 17,495 | 10,553 |
141
-
142
-
143
- ## Dataset Creation
144
-
145
- ### Curation Rationale
146
-
147
- [Detailed in the paper](https://arxiv.org/abs/2203.05437)
148
-
149
- ### Source Data
150
-
151
- Squad Dataset(https://rajpurkar.github.io/SQuAD-explorer/)
152
-
153
- #### Initial Data Collection and Normalization
154
-
155
- [Detailed in the paper](https://arxiv.org/abs/2203.05437)
156
-
157
-
158
- #### Who are the source language producers?
159
-
160
- [Detailed in the paper](https://arxiv.org/abs/2203.05437)
161
-
162
-
163
- ### Annotations
164
- [More information needed]
165
- #### Annotation process
166
- [More information needed]
167
-
168
- #### Who are the annotators?
169
-
170
- [More information needed]
171
-
172
- ### Personal and Sensitive Information
173
-
174
- [More information needed]
175
-
176
- ## Considerations for Using the Data
177
-
178
- ### Social Impact of Dataset
179
-
180
- [More information needed]
181
-
182
- ### Discussion of Biases
183
-
184
- [More information needed]
185
-
186
- ### Other Known Limitations
187
-
188
- [More information needed]
189
-
190
- ## Additional Information
191
-
192
- ### Dataset Curators
193
-
194
- [More information needed]
195
-
196
- ### Licensing Information
197
-
198
- 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.
199
- ### Citation Information
200
-
201
- If you use any of the datasets, models or code modules, please cite the following paper:
202
- ```
203
- @inproceedings{Kumar2022IndicNLGSM,
204
- title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
205
- 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},
206
- year={2022},
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- url = "https://arxiv.org/abs/2203.05437",
208
- ```
209
-
210
-
211
- ### Contributions
212
-
213
  [Detailed in the paper](https://arxiv.org/abs/2203.05437)
 
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: IndicQuestionGeneration
23
+ size_categories:
24
+ - 98K<n<98K
25
+ source_datasets:
26
+ - we start with the SQuAD question answering dataset repurposed to serve as a question generation dataset. We translate this dataset into different Indic languages.
27
+ task_categories:
28
+ - conditional-text-generation
29
+ task_ids:
30
+ - conditional-text-generation-other-question-generation
31
+ ---
32
+
33
+ # Dataset Card for "IndicQuestionGeneration"
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
+ IndicQuestionGeneration is the question generation dataset released as part of IndicNLG Suite. Each
74
+ example has five fields: id, squad_id, answer, context and question. We create this dataset in eleven
75
+ languages, including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. This is translated data. The examples in each language are exactly similar but in different languages.
76
+ The number of examples in each language is 98,027.
77
+
78
+
79
+ ### Supported Tasks and Leaderboards
80
+
81
+ **Tasks:** Question 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 random example from the `hi` dataset is given below in JSON format.
103
+ ```
104
+ {
105
+ "id": 8,
106
+ "squad_id": "56be8e613aeaaa14008c90d3",
107
+ "answer": "अमेरिकी फुटबॉल सम्मेलन",
108
+ "context": "अमेरिकी फुटबॉल सम्मेलन (एएफसी) के चैंपियन डेनवर ब्रोंकोस ने नेशनल फुटबॉल कांफ्रेंस (एनएफसी) की चैंपियन कैरोलिना पैंथर्स को 24-10 से हराकर अपना तीसरा सुपर बाउल खिताब जीता।",
109
+ "question": "एएफसी का मतलब क्या है?"
110
+ }
111
+ ```
112
+
113
+ ### Data Fields
114
+ - `id (string)`: Unique identifier.
115
+ - `squad_id (string)`: Unique identifier in Squad dataset.
116
+ - `answer (strings)`: Answer as one of the two inputs.
117
+ - `context (string)`: Context, the other input.
118
+ - `question (string)`: Question, the output.
119
+
120
+
121
+ ### Data Splits
122
+
123
+ Here is the number of samples in each split for all the languages.
124
+
125
+
126
+
127
+
128
+ Language | ISO 639-1 Code | Train | Dev | Test |
129
+ ---------- | ---------- | ---------- | ---------- | ---------- |
130
+ Assamese | as | 69,979 | 17,495 | 10,553 |
131
+ Bengali | bn | 69,979 | 17,495 | 10,553 |
132
+ Gujarati | gu | 69,979 | 17,495 | 10,553 |
133
+ Hindi | hi | 69,979 | 17,495 | 10,553 |
134
+ Kannada | kn | 69,979 | 17,495 | 10,553 |
135
+ Malayalam | ml | 69,979 | 17,495 | 10,553 |
136
+ Marathi | mr | 69,979 | 17,495 | 10,553 |
137
+ Oriya | or | 69,979 | 17,495 | 10,553 |
138
+ Punjabi | pa | 69,979 | 17,495 | 10,553 |
139
+ Tamil | ta | 69,979 | 17,495 | 10,553 |
140
+ Telugu | te | 69,979 | 17,495 | 10,553 |
141
+
142
+
143
+ ## Dataset Creation
144
+
145
+ ### Curation Rationale
146
+
147
+ [Detailed in the paper](https://arxiv.org/abs/2203.05437)
148
+
149
+ ### Source Data
150
+
151
+ Squad Dataset(https://rajpurkar.github.io/SQuAD-explorer/)
152
+
153
+ #### Initial Data Collection and Normalization
154
+
155
+ [Detailed in the paper](https://arxiv.org/abs/2203.05437)
156
+
157
+
158
+ #### Who are the source language producers?
159
+
160
+ [Detailed in the paper](https://arxiv.org/abs/2203.05437)
161
+
162
+
163
+ ### Annotations
164
+ [More information needed]
165
+ #### Annotation process
166
+ [More information needed]
167
+
168
+ #### Who are the annotators?
169
+
170
+ [More information needed]
171
+
172
+ ### Personal and Sensitive Information
173
+
174
+ [More information needed]
175
+
176
+ ## Considerations for Using the Data
177
+
178
+ ### Social Impact of Dataset
179
+
180
+ [More information needed]
181
+
182
+ ### Discussion of Biases
183
+
184
+ [More information needed]
185
+
186
+ ### Other Known Limitations
187
+
188
+ [More information needed]
189
+
190
+ ## Additional Information
191
+
192
+ ### Dataset Curators
193
+
194
+ [More information needed]
195
+
196
+ ### Licensing Information
197
+
198
+ 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.
199
+ ### Citation Information
200
+
201
+ If you use any of the datasets, models or code modules, please cite the following paper:
202
+ ```
203
+ @inproceedings{Kumar2022IndicNLGSM,
204
+ title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
205
+ 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},
206
+ year={2022},
207
+ url = "https://arxiv.org/abs/2203.05437",
208
+ ```
209
+
210
+
211
+ ### Contributions
212
+
213
  [Detailed in the paper](https://arxiv.org/abs/2203.05437)