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Fix missing tags in dataset cards (#4979)

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Commit from https://github.com/huggingface/datasets/commit/4c695faf4b8cd781d700203654afd91f2b3d4171

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  1. README.md +61 -17
README.md CHANGED
@@ -1,5 +1,45 @@
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pretty_name: IndicGLUE
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  paperswithcode_id: null
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  ---
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@@ -31,9 +71,9 @@ paperswithcode_id: null
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  ## Dataset Description
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- - **Homepage:** [https://indicnlp.ai4bharat.org/indic-glue/#natural-language-inference](https://indicnlp.ai4bharat.org/indic-glue/#natural-language-inference)
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  - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  - **Size of downloaded dataset files:** 3351.18 MB
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  - **Size of the generated dataset:** 1573.33 MB
@@ -41,8 +81,8 @@ paperswithcode_id: null
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  ### Dataset Summary
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- IndicGLUE is a natural language understanding benchmark for Indian languages. It contains a wide
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- variety of tasks and covers 11 major Indian languages - as, bn, gu, hi, kn, ml, mr, or, pa, ta, te.
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  The Winograd Schema Challenge (Levesque et al., 2011) is a reading comprehension task
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  in which a system must read a sentence with a pronoun and select the referent of that pronoun from
@@ -280,29 +320,33 @@ The data fields are the same among all splits.
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  ### Citation Information
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  ```
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- @inproceedings{kakwani2020indicnlpsuite,
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- title={{IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages}},
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- author={Divyanshu Kakwani and Anoop Kunchukuttan and Satish Golla and Gokul N.C. and Avik Bhattacharyya and Mitesh M. Khapra and Pratyush Kumar},
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- year={2020},
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- booktitle={Findings of EMNLP},
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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- @inproceedings{kakwani2020indicnlpsuite,
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- title={{IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages}},
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- author={Divyanshu Kakwani and Anoop Kunchukuttan and Satish Golla and Gokul N.C. and Avik Bhattacharyya and Mitesh M. Khapra and Pratyush Kumar},
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- year={2020},
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- booktitle={Findings of EMNLP},
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- }
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  @inproceedings{Levesque2011TheWS,
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  title={The Winograd Schema Challenge},
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  author={H. Levesque and E. Davis and L. Morgenstern},
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  booktitle={KR},
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  year={2011}
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  }
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-
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  ```
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-
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  ### Contributions
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  Thanks to [@sumanthd17](https://github.com/sumanthd17) for adding this dataset.
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  ---
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+ annotations_creators:
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+ - other
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+ language:
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+ - as
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+ - bn
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+ - en
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+ - 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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+ language_creators:
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+ - found
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+ license:
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+ - other
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+ multilinguality:
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+ - multilingual
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  pretty_name: IndicGLUE
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+ size_categories:
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+ - 100K<n<1M
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+ source_datasets:
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+ - extended|other
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+ task_categories:
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+ - text-classification
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+ - token-classification
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+ - multiple-choice
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+ task_ids:
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+ - topic-classification
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+ - natural-language-inference
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+ - sentiment-analysis
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+ - semantic-similarity-scoring
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+ - text-classification-other-headline-classification
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+ - text-classification-other-paraphrase-identification
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+ - text-classification-other-cross-lingual-similarity
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+ - text-classification-other-discourse-mode-classification
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+ - named-entity-recognition
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+ - multiple-choice-qa
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  paperswithcode_id: null
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  ---
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  ## Dataset Description
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+ - **Homepage:** https://ai4bharat.iitm.ac.in/indic-glue
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  - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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+ - **Paper:** [IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages](https://aclanthology.org/2020.findings-emnlp.445/)
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  - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  - **Size of downloaded dataset files:** 3351.18 MB
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  - **Size of the generated dataset:** 1573.33 MB
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  ### Dataset Summary
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+ IndicGLUE is a natural language understanding benchmark for Indian languages. It contains a wide
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+ variety of tasks and covers 11 major Indian languages - as, bn, gu, hi, kn, ml, mr, or, pa, ta, te.
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  The Winograd Schema Challenge (Levesque et al., 2011) is a reading comprehension task
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  in which a system must read a sentence with a pronoun and select the referent of that pronoun from
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  ### Citation Information
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  ```
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+ @inproceedings{kakwani-etal-2020-indicnlpsuite,
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+ title = "{I}ndic{NLPS}uite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for {I}ndian Languages",
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+ author = "Kakwani, Divyanshu and
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+ Kunchukuttan, Anoop and
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+ Golla, Satish and
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+ N.C., Gokul and
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+ Bhattacharyya, Avik and
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+ Khapra, Mitesh M. and
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+ Kumar, Pratyush",
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+ booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
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+ month = nov,
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+ year = "2020",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2020.findings-emnlp.445",
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+ doi = "10.18653/v1/2020.findings-emnlp.445",
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+ pages = "4948--4961",
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  }
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  @inproceedings{Levesque2011TheWS,
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  title={The Winograd Schema Challenge},
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  author={H. Levesque and E. Davis and L. Morgenstern},
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  booktitle={KR},
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  year={2011}
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  }
 
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  ```
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  ### Contributions
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  Thanks to [@sumanthd17](https://github.com/sumanthd17) for adding this dataset.