Fix `license` metadata

README.md

@@ -1,213 +1,213 @@
----
-annotations_creators:
-- no-annotation
-language_creators:
-- found
-languages:
-- as
-- bn
-- gu
-- hi
-- kn
-- ml
-- mr
-- or
-- pa
-- ta
-- te
-licenses:
-- cc-by-nc-4.0
-multilinguality:
-- multilingual
-pretty_name: IndicQuestionGeneration
-size_categories:
-- 98K<n<98K
-source_datasets:
-- we start with the SQuAD question answering dataset repurposed to serve as a question generation dataset. We translate this dataset into different Indic languages.
-task_categories:
-- conditional-text-generation
-task_ids:
-- conditional-text-generation-other-question-generation
----
-
-# Dataset Card for "IndicQuestionGeneration"
-
-## Table of Contents
-- [Dataset Card Creation Guide](#dataset-card-creation-guide)
-  - [Table of Contents](#table-of-contents)
-  - [Dataset Description](#dataset-description)
-    - [Dataset Summary](#dataset-summary)
-    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-    - [Languages](#languages)
-  - [Dataset Structure](#dataset-structure)
-    - [Data Instances](#data-instances)
-    - [Data Fields](#data-fields)
-    - [Data Splits](#data-splits)
-  - [Dataset Creation](#dataset-creation)
-    - [Curation Rationale](#curation-rationale)
-    - [Source Data](#source-data)
-      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
-      - [Who are the source language producers?](#who-are-the-source-language-producers)
-    - [Annotations](#annotations)
-      - [Annotation process](#annotation-process)
-      - [Who are the annotators?](#who-are-the-annotators)
-    - [Personal and Sensitive Information](#personal-and-sensitive-information)
-  - [Considerations for Using the Data](#considerations-for-using-the-data)
-    - [Social Impact of Dataset](#social-impact-of-dataset)
-    - [Discussion of Biases](#discussion-of-biases)
-    - [Other Known Limitations](#other-known-limitations)
-  - [Additional Information](#additional-information)
-    - [Dataset Curators](#dataset-curators)
-    - [Licensing Information](#licensing-information)
-    - [Citation Information](#citation-information)
-    - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** https://indicnlp.ai4bharat.org/indicnlg-suite
-- **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437)
-- **Point of Contact:** 
-
-### Dataset Summary
-
-IndicQuestionGeneration is the question generation dataset released as part of IndicNLG Suite. Each 
-example has five fields: id, squad_id, answer, context and question. We create this dataset in eleven 
-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. 
-The number of examples in each language is 98,027.
-
-
-### Supported Tasks and Leaderboards
-
-**Tasks:** Question Generation
-
-**Leaderboards:** Currently there is no Leaderboard for this dataset.
-
-### Languages
--  `Assamese (as)`
--  `Bengali (bn)`
--  `Gujarati (gu)`
--  `Kannada (kn)`
--  `Hindi (hi)`
--  `Malayalam (ml)`
--  `Marathi (mr)`
--  `Oriya (or)`
--  `Punjabi (pa)`
--  `Tamil (ta)`
--  `Telugu (te)`
-
-## Dataset Structure
-
-### Data Instances
-
-One random example from the `hi` dataset is given below in JSON format. 
-  ```
-  {
-  "id": 8, 
-  "squad_id": "56be8e613aeaaa14008c90d3", 
-  "answer": "अमेरिकी फुटबॉल सम्मेलन", 
-  "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।", 
-  "question": "एएफसी का मतलब क्या है?"
-  }
-  ```
-
-### Data Fields
--  `id (string)`: Unique identifier.
--  `squad_id (string)`: Unique identifier in Squad dataset.
--  `answer (strings)`: Answer as one of the two inputs.
--  `context (string)`: Context, the other input. 
--  `question (string)`: Question, the output.
-
-
-### Data Splits
-
-Here is the number of samples in each split for all the languages.
-
-
-
-
-Language	|	ISO 639-1 Code	|	Train	|	Dev	|	Test	|
-----------	|	----------	|	----------	|	----------	|	----------	|
-Assamese	|	as	|	69,979	|	17,495	|	10,553	|
-Bengali	|	bn	|	69,979	|	17,495	|	10,553	|
-Gujarati	|	gu	|	69,979	|	17,495	|	10,553	|
-Hindi	|	hi	|	69,979	|	17,495	|	10,553	|
-Kannada	|	kn	|	69,979	|	17,495	|	10,553	|
-Malayalam	|	ml	|	69,979	|	17,495	|	10,553	|
-Marathi	|	mr 	|	69,979	|	17,495	|	10,553	|
-Oriya	|	or	|	69,979	|	17,495	|	10,553	|
-Punjabi	|	pa 	|	69,979	|	17,495	|	10,553	|
-Tamil	|	ta 	|	69,979	|	17,495	|	10,553	|
-Telugu	|	te 	|	69,979	|	17,495	|	10,553	|
-
-
-## Dataset Creation
-
-### Curation Rationale
-
-[Detailed in the paper](https://arxiv.org/abs/2203.05437)
-
-### Source Data
-
-Squad Dataset(https://rajpurkar.github.io/SQuAD-explorer/)
-
-#### Initial Data Collection and Normalization
-
-[Detailed in the paper](https://arxiv.org/abs/2203.05437)
-
-
-#### Who are the source language producers?
-
-[Detailed in the paper](https://arxiv.org/abs/2203.05437)
-
-
-### Annotations
-[More information needed]
-#### Annotation process
-[More information needed]
-
-#### Who are the annotators?
-
-[More information needed]
-
-### Personal and Sensitive Information
-
-[More information needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More information needed]
-
-### Discussion of Biases
-
-[More information needed]
-
-### Other Known Limitations
-
-[More information needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More information needed]
-
-### Licensing Information
-
-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.
-### Citation Information
-
-If you use any of the datasets, models or code modules, please cite the following paper:
-```
-@inproceedings{Kumar2022IndicNLGSM,
-  title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
-  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},
-  year={2022},
-  url = "https://arxiv.org/abs/2203.05437",     
-```
-
-
-### Contributions
-
+---
+annotations_creators:
+- no-annotation
+language_creators:
+- found
+language:
+- as
+- bn
+- gu
+- hi
+- kn
+- ml
+- mr
+- or
+- pa
+- ta
+- te
+license:
+- cc-by-nc-4.0
+multilinguality:
+- multilingual
+pretty_name: IndicQuestionGeneration
+size_categories:
+- 98K<n<98K
+source_datasets:
+- we start with the SQuAD question answering dataset repurposed to serve as a question generation dataset. We translate this dataset into different Indic languages.
+task_categories:
+- conditional-text-generation
+task_ids:
+- conditional-text-generation-other-question-generation
+---
+
+# Dataset Card for "IndicQuestionGeneration"
+
+## Table of Contents
+- [Dataset Card Creation Guide](#dataset-card-creation-guide)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+  - [Dataset Structure](#dataset-structure)
+    - [Data Instances](#data-instances)
+    - [Data Fields](#data-fields)
+    - [Data Splits](#data-splits)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+    - [Annotations](#annotations)
+      - [Annotation process](#annotation-process)
+      - [Who are the annotators?](#who-are-the-annotators)
+    - [Personal and Sensitive Information](#personal-and-sensitive-information)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Social Impact of Dataset](#social-impact-of-dataset)
+    - [Discussion of Biases](#discussion-of-biases)
+    - [Other Known Limitations](#other-known-limitations)
+  - [Additional Information](#additional-information)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-information)
+    - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://indicnlp.ai4bharat.org/indicnlg-suite
+- **Paper:** [IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://arxiv.org/abs/2203.05437)
+- **Point of Contact:** 
+
+### Dataset Summary
+
+IndicQuestionGeneration is the question generation dataset released as part of IndicNLG Suite. Each 
+example has five fields: id, squad_id, answer, context and question. We create this dataset in eleven 
+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. 
+The number of examples in each language is 98,027.
+
+
+### Supported Tasks and Leaderboards
+
+**Tasks:** Question Generation
+
+**Leaderboards:** Currently there is no Leaderboard for this dataset.
+
+### Languages
+-  `Assamese (as)`
+-  `Bengali (bn)`
+-  `Gujarati (gu)`
+-  `Kannada (kn)`
+-  `Hindi (hi)`
+-  `Malayalam (ml)`
+-  `Marathi (mr)`
+-  `Oriya (or)`
+-  `Punjabi (pa)`
+-  `Tamil (ta)`
+-  `Telugu (te)`
+
+## Dataset Structure
+
+### Data Instances
+
+One random example from the `hi` dataset is given below in JSON format. 
+  ```
+  {
+  "id": 8, 
+  "squad_id": "56be8e613aeaaa14008c90d3", 
+  "answer": "अमेरिकी फुटबॉल सम्मेलन", 
+  "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।", 
+  "question": "एएफसी का मतलब क्या है?"
+  }
+  ```
+
+### Data Fields
+-  `id (string)`: Unique identifier.
+-  `squad_id (string)`: Unique identifier in Squad dataset.
+-  `answer (strings)`: Answer as one of the two inputs.
+-  `context (string)`: Context, the other input. 
+-  `question (string)`: Question, the output.
+
+
+### Data Splits
+
+Here is the number of samples in each split for all the languages.
+
+
+
+
+Language	|	ISO 639-1 Code	|	Train	|	Dev	|	Test	|
+----------	|	----------	|	----------	|	----------	|	----------	|
+Assamese	|	as	|	69,979	|	17,495	|	10,553	|
+Bengali	|	bn	|	69,979	|	17,495	|	10,553	|
+Gujarati	|	gu	|	69,979	|	17,495	|	10,553	|
+Hindi	|	hi	|	69,979	|	17,495	|	10,553	|
+Kannada	|	kn	|	69,979	|	17,495	|	10,553	|
+Malayalam	|	ml	|	69,979	|	17,495	|	10,553	|
+Marathi	|	mr 	|	69,979	|	17,495	|	10,553	|
+Oriya	|	or	|	69,979	|	17,495	|	10,553	|
+Punjabi	|	pa 	|	69,979	|	17,495	|	10,553	|
+Tamil	|	ta 	|	69,979	|	17,495	|	10,553	|
+Telugu	|	te 	|	69,979	|	17,495	|	10,553	|
+
+
+## Dataset Creation
+
+### Curation Rationale
+
+[Detailed in the paper](https://arxiv.org/abs/2203.05437)
+
+### Source Data
+
+Squad Dataset(https://rajpurkar.github.io/SQuAD-explorer/)
+
+#### Initial Data Collection and Normalization
+
+[Detailed in the paper](https://arxiv.org/abs/2203.05437)
+
+
+#### Who are the source language producers?
+
+[Detailed in the paper](https://arxiv.org/abs/2203.05437)
+
+
+### Annotations
+[More information needed]
+#### Annotation process
+[More information needed]
+
+#### Who are the annotators?
+
+[More information needed]
+
+### Personal and Sensitive Information
+
+[More information needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More information needed]
+
+### Discussion of Biases
+
+[More information needed]
+
+### Other Known Limitations
+
+[More information needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More information needed]
+
+### Licensing Information
+
+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.
+### Citation Information
+
+If you use any of the datasets, models or code modules, please cite the following paper:
+```
+@inproceedings{Kumar2022IndicNLGSM,
+  title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
+  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},
+  year={2022},
+  url = "https://arxiv.org/abs/2203.05437",     
+```
+
+
+### Contributions
+
 [Detailed in the paper](https://arxiv.org/abs/2203.05437)