Datasets:
Formats:
parquet
Size:
100K - 1M
Tags:
discourse-mode-classification
paraphrase-identification
cross-lingual-similarity
headline-classification
License:
Commit
·
30efcec
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Parent(s):
78c31ea
Fix missing tags in dataset cards (#4979)
Browse filesCommit from https://github.com/huggingface/datasets/commit/4c695faf4b8cd781d700203654afd91f2b3d4171
README.md
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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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## Dataset Description
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- **Homepage:**
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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:** [
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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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-
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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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title={{
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author=
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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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### 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.
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