Datasets:
Multilinguality:
multilingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
other
Source Datasets:
extended|other
Tags:
discourse-mode-classification
paraphrase-identification
cross-lingual-similarity
headline-classification
License:
| annotations_creators: | |
| - other | |
| language: | |
| - as | |
| - bn | |
| - en | |
| - gu | |
| - hi | |
| - kn | |
| - ml | |
| - mr | |
| - or | |
| - pa | |
| - ta | |
| - te | |
| language_creators: | |
| - found | |
| license: | |
| - other | |
| multilinguality: | |
| - multilingual | |
| pretty_name: IndicGLUE | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - extended|other | |
| task_categories: | |
| - text-classification | |
| - token-classification | |
| - multiple-choice | |
| task_ids: | |
| - topic-classification | |
| - natural-language-inference | |
| - sentiment-analysis | |
| - semantic-similarity-scoring | |
| - named-entity-recognition | |
| - multiple-choice-qa | |
| paperswithcode_id: null | |
| tags: | |
| - discourse-mode-classification | |
| - paraphrase-identification | |
| - cross-lingual-similarity | |
| - headline-classification | |
| dataset_info: | |
| - config_name: wnli.en | |
| features: | |
| - name: hypothesis | |
| dtype: string | |
| - name: premise | |
| dtype: string | |
| - name: label | |
| dtype: | |
| class_label: | |
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| 0: not_entailment | |
| 1: entailment | |
| 2: None | |
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| num_examples: 71 | |
| - name: test | |
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| num_examples: 146 | |
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| # Dataset Card for "indic_glue" | |
| ## 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) | |
| - [Annotations](#annotations) | |
| - [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://ai4bharat.iitm.ac.in/indic-glue | |
| - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Paper:** [IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages](https://aclanthology.org/2020.findings-emnlp.445/) | |
| - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Size of downloaded dataset files:** 3351.18 MB | |
| - **Size of the generated dataset:** 1573.33 MB | |
| - **Total amount of disk used:** 4924.51 MB | |
| ### Dataset Summary | |
| IndicGLUE is a natural language understanding benchmark for Indian languages. It contains a wide | |
| variety of tasks and covers 11 major Indian languages - as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. | |
| The Winograd Schema Challenge (Levesque et al., 2011) is a reading comprehension task | |
| in which a system must read a sentence with a pronoun and select the referent of that pronoun from | |
| a list of choices. The examples are manually constructed to foil simple statistical methods: Each | |
| one is contingent on contextual information provided by a single word or phrase in the sentence. | |
| To convert the problem into sentence pair classification, we construct sentence pairs by replacing | |
| the ambiguous pronoun with each possible referent. The task is to predict if the sentence with the | |
| pronoun substituted is entailed by the original sentence. We use a small evaluation set consisting of | |
| new examples derived from fiction books that was shared privately by the authors of the original | |
| corpus. While the included training set is balanced between two classes, the test set is imbalanced | |
| between them (65% not entailment). Also, due to a data quirk, the development set is adversarial: | |
| hypotheses are sometimes shared between training and development examples, so if a model memorizes the | |
| training examples, they will predict the wrong label on corresponding development set | |
| example. As with QNLI, each example is evaluated separately, so there is not a systematic correspondence | |
| between a model's score on this task and its score on the unconverted original task. We | |
| call converted dataset WNLI (Winograd NLI). This dataset is translated and publicly released for 3 | |
| Indian languages by AI4Bharat. | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Languages | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Dataset Structure | |
| ### Data Instances | |
| #### actsa-sc.te | |
| - **Size of downloaded dataset files:** 0.36 MB | |
| - **Size of the generated dataset:** 1.63 MB | |
| - **Total amount of disk used:** 1.99 MB | |
| An example of 'validation' looks as follows. | |
| ``` | |
| This example was too long and was cropped: | |
| { | |
| "label": 0, | |
| "text": "\"ప్రయాణాల్లో ఉన్నవారికోసం బస్ స్టేషన్లు, రైల్వే స్టేషన్లలో పల్స్పోలియో బూతులను ఏర్పాటు చేసి చిన్నారులకు పోలియో చుక్కలు వేసేలా ఏర..." | |
| } | |
| ``` | |
| #### bbca.hi | |
| - **Size of downloaded dataset files:** 5.50 MB | |
| - **Size of the generated dataset:** 26.35 MB | |
| - **Total amount of disk used:** 31.85 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| This example was too long and was cropped: | |
| { | |
| "label": "pakistan", | |
| "text": "\"नेटिजन यानि इंटरनेट पर सक्रिय नागरिक अब ट्विटर पर सरकार द्वारा लगाए प्रतिबंधों के समर्थन या विरोध में अपने विचार व्यक्त करते है..." | |
| } | |
| ``` | |
| #### copa.en | |
| - **Size of downloaded dataset files:** 0.72 MB | |
| - **Size of the generated dataset:** 0.11 MB | |
| - **Total amount of disk used:** 0.83 MB | |
| An example of 'validation' looks as follows. | |
| ``` | |
| { | |
| "choice1": "I swept the floor in the unoccupied room.", | |
| "choice2": "I shut off the light in the unoccupied room.", | |
| "label": 1, | |
| "premise": "I wanted to conserve energy.", | |
| "question": "effect" | |
| } | |
| ``` | |
| #### copa.gu | |
| - **Size of downloaded dataset files:** 0.72 MB | |
| - **Size of the generated dataset:** 0.22 MB | |
| - **Total amount of disk used:** 0.94 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| This example was too long and was cropped: | |
| { | |
| "choice1": "\"સ્ત્રી જાણતી હતી કે તેનો મિત્ર મુશ્કેલ સમયમાંથી પસાર થઈ રહ્યો છે.\"...", | |
| "choice2": "\"મહિલાને લાગ્યું કે તેના મિત્રએ તેની દયાળુ લાભ લીધો છે.\"...", | |
| "label": 0, | |
| "premise": "મહિલાએ તેના મિત્રની મુશ્કેલ વર્તન સહન કરી.", | |
| "question": "cause" | |
| } | |
| ``` | |
| #### copa.hi | |
| - **Size of downloaded dataset files:** 0.72 MB | |
| - **Size of the generated dataset:** 0.22 MB | |
| - **Total amount of disk used:** 0.94 MB | |
| An example of 'validation' looks as follows. | |
| ``` | |
| { | |
| "choice1": "मैंने उसका प्रस्ताव ठुकरा दिया।", | |
| "choice2": "उन्होंने मुझे उत्पाद खरीदने के लिए राजी किया।", | |
| "label": 0, | |
| "premise": "मैंने सेल्समैन की पिच पर शक किया।", | |
| "question": "effect" | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### actsa-sc.te | |
| - `text`: a `string` feature. | |
| - `label`: a classification label, with possible values including `positive` (0), `negative` (1). | |
| #### bbca.hi | |
| - `label`: a `string` feature. | |
| - `text`: a `string` feature. | |
| #### copa.en | |
| - `premise`: a `string` feature. | |
| - `choice1`: a `string` feature. | |
| - `choice2`: a `string` feature. | |
| - `question`: a `string` feature. | |
| - `label`: a `int32` feature. | |
| #### copa.gu | |
| - `premise`: a `string` feature. | |
| - `choice1`: a `string` feature. | |
| - `choice2`: a `string` feature. | |
| - `question`: a `string` feature. | |
| - `label`: a `int32` feature. | |
| #### copa.hi | |
| - `premise`: a `string` feature. | |
| - `choice1`: a `string` feature. | |
| - `choice2`: a `string` feature. | |
| - `question`: a `string` feature. | |
| - `label`: a `int32` feature. | |
| ### Data Splits | |
| #### actsa-sc.te | |
| | |train|validation|test| | |
| |-----------|----:|---------:|---:| | |
| |actsa-sc.te| 4328| 541| 541| | |
| #### bbca.hi | |
| | |train|test| | |
| |-------|----:|---:| | |
| |bbca.hi| 3467| 866| | |
| #### copa.en | |
| | |train|validation|test| | |
| |-------|----:|---------:|---:| | |
| |copa.en| 400| 100| 500| | |
| #### copa.gu | |
| | |train|validation|test| | |
| |-------|----:|---------:|---:| | |
| |copa.gu| 362| 88| 448| | |
| #### copa.hi | |
| | |train|validation|test| | |
| |-------|----:|---------:|---:| | |
| |copa.hi| 362| 88| 449| | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| #### Who are the source language producers? | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| #### Who are the annotators? | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Personal and Sensitive Information | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Discussion of Biases | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Other Known Limitations | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Licensing Information | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Citation Information | |
| ``` | |
| @inproceedings{kakwani-etal-2020-indicnlpsuite, | |
| title = "{I}ndic{NLPS}uite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for {I}ndian Languages", | |
| author = "Kakwani, Divyanshu and | |
| Kunchukuttan, Anoop and | |
| Golla, Satish and | |
| N.C., Gokul and | |
| Bhattacharyya, Avik and | |
| Khapra, Mitesh M. and | |
| Kumar, Pratyush", | |
| booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020", | |
| month = nov, | |
| year = "2020", | |
| address = "Online", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/2020.findings-emnlp.445", | |
| doi = "10.18653/v1/2020.findings-emnlp.445", | |
| pages = "4948--4961", | |
| } | |
| @inproceedings{Levesque2011TheWS, | |
| title={The Winograd Schema Challenge}, | |
| author={H. Levesque and E. Davis and L. Morgenstern}, | |
| booktitle={KR}, | |
| year={2011} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@sumanthd17](https://github.com/sumanthd17) for adding this dataset. |