Fix `license` metadata (#1)

- Fix `license` metadata (c06ddcc0ab4e828565e32991b19ba7251d0b9fa9)


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

README.md

@@ -1,216 +1,216 @@
----
-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: IndicParaphrase
-size_categories:
-- 1M<n<10M
-source_datasets:
-- original
-task_categories:
-- conditional-text-generation
-task_ids:
-- conditional-text-generation-other-paraphrase-generation
----
-
-# Dataset Card for "IndicParaphrase"
-
-## 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
-
-IndicParaphrase is the paraphrasing dataset released as part of IndicNLG Suite. Each 
-input is paired with up to 5 references. We create this dataset in eleven 
-languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total
-size of the dataset is 5.57M. 
-
-
-### Supported Tasks and Leaderboards
-
-**Tasks:** Paraphrase 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 example from the `hi` dataset is given below in JSON format. 
-  ```
-  {
-    'id': '1',
- 'input': 'निजी क्षेत्र में प्रदेश की 75 प्रतिशत नौकरियां हरियाणा के युवाओं के लिए आरक्षित की जाएगी।',
- 'references': ['प्रदेश के युवाओं को निजी उद्योगों में 75 प्रतिशत आरक्षण देंगे।',
-  'युवाओं के लिए हरियाणा की सभी प्राइवेट नौकरियों में 75 प्रतिशत आरक्षण लागू किया जाएगा।',
-  'निजी क्षेत्र में 75 प्रतिशत आरक्षित लागू कर प्रदेश के युवाओं का रोजगार सुनिश्चत किया जाएगा।',
-  'प्राईवेट कम्पनियों में हरियाणा के नौजवानों को 75 प्रतिशत नौकरियां में आरक्षित की जाएगी।',
-  'प्रदेश की प्राइवेट फैक्टरियों में 75 फीसदी रोजगार हरियाणा के युवाओं के लिए आरक्षित किए जाएंगे।'],
- 'target': 'प्रदेश के युवाओं को निजी उद्योगों में 75 प्रतिशत आरक्षण देंगे।'
-}
-  ```
-
-### Data Fields
--  `id (string)`: Unique identifier.
--  `pivot (string)`: English sentence used as the pivot 
--  `input (string)`: Input sentence 
--  `references (list of strings)`: Paraphrases of `input`, ordered according to the least n-gram overlap
--  `target (string)`: The first reference (most dissimilar paraphrase) 
-
-
-
-### Data Splits
-
-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.
-Individual dataset with train-dev-test example counts are given below:
-
-
-Language      | ISO 639-1 Code |Train | Dev | Test |
---------------|----------------|-------|-----|------|
-Assamese | as | - | 4,420 | 4,420 |
-Bengali | bn | 890,445 | 10,000 | 10,000 |
-Gujarati | gu |  379,202 | 10,000 | 10,000 |
-Hindi | hi | 929,507 | 10,000 | 10,000 |
-Kannada | kn |  522,148 | 10,000 | 10,000 | 
-Malayalam | ml |761,933  | 10,000 | 10,000 | 
-Marathi | mr |406,003 | 10,000 | 10,000 | 
-Oriya | or | 105,970 | 10,000 | 10,000 | 
-Punjabi | pa |  266,704 | 10,000 | 10,000 | 
-Tamil | ta | 497,798 | 10,000 | 10,000 | 
-Telugu | te | 596,283 | 10,000 | 10,000 |
-
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More information needed]
-
-### Source Data
-
-[Samanantar dataset](https://indicnlp.ai4bharat.org/samanantar/)
-
-#### 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: IndicParaphrase
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+- conditional-text-generation
+task_ids:
+- conditional-text-generation-other-paraphrase-generation
+---
+
+# Dataset Card for "IndicParaphrase"
+
+## 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
+
+IndicParaphrase is the paraphrasing dataset released as part of IndicNLG Suite. Each 
+input is paired with up to 5 references. We create this dataset in eleven 
+languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total
+size of the dataset is 5.57M. 
+
+
+### Supported Tasks and Leaderboards
+
+**Tasks:** Paraphrase 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 example from the `hi` dataset is given below in JSON format. 
+  ```
+  {
+    'id': '1',
+ 'input': 'निजी क्षेत्र में प्रदेश की 75 प्रतिशत नौकरियां हरियाणा के युवाओं के लिए आरक्षित की जाएगी।',
+ 'references': ['प्रदेश के युवाओं को निजी उद्योगों में 75 प्रतिशत आरक्षण देंगे।',
+  'युवाओं के लिए हरियाणा की सभी प्राइवेट नौकरियों में 75 प्रतिशत आरक्षण लागू किया जाएगा।',
+  'निजी क्षेत्र में 75 प्रतिशत आरक्षित लागू कर प्रदेश के युवाओं का रोजगार सुनिश्चत किया जाएगा।',
+  'प्राईवेट कम्पनियों में हरियाणा के नौजवानों को 75 प्रतिशत नौकरियां में आरक्षित की जाएगी।',
+  'प्रदेश की प्राइवेट फैक्टरियों में 75 फीसदी रोजगार हरियाणा के युवाओं के लिए आरक्षित किए जाएंगे।'],
+ 'target': 'प्रदेश के युवाओं को निजी उद्योगों में 75 प्रतिशत आरक्षण देंगे।'
+}
+  ```
+
+### Data Fields
+-  `id (string)`: Unique identifier.
+-  `pivot (string)`: English sentence used as the pivot 
+-  `input (string)`: Input sentence 
+-  `references (list of strings)`: Paraphrases of `input`, ordered according to the least n-gram overlap
+-  `target (string)`: The first reference (most dissimilar paraphrase) 
+
+
+
+### Data Splits
+
+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.
+Individual dataset with train-dev-test example counts are given below:
+
+
+Language      | ISO 639-1 Code |Train | Dev | Test |
+--------------|----------------|-------|-----|------|
+Assamese | as | - | 4,420 | 4,420 |
+Bengali | bn | 890,445 | 10,000 | 10,000 |
+Gujarati | gu |  379,202 | 10,000 | 10,000 |
+Hindi | hi | 929,507 | 10,000 | 10,000 |
+Kannada | kn |  522,148 | 10,000 | 10,000 | 
+Malayalam | ml |761,933  | 10,000 | 10,000 | 
+Marathi | mr |406,003 | 10,000 | 10,000 | 
+Oriya | or | 105,970 | 10,000 | 10,000 | 
+Punjabi | pa |  266,704 | 10,000 | 10,000 | 
+Tamil | ta | 497,798 | 10,000 | 10,000 | 
+Telugu | te | 596,283 | 10,000 | 10,000 |
+
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More information needed]
+
+### Source Data
+
+[Samanantar dataset](https://indicnlp.ai4bharat.org/samanantar/)
+
+#### 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
+