Datasets:
Formats:
parquet
Size:
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Tags:
discourse-mode-classification
paraphrase-identification
cross-lingual-similarity
headline-classification
License:
Update files from the datasets library (from 1.3.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.3.0
README.md
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1 |
+
---
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---
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# Dataset Card for "indic_glue"
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits Sample Size](#data-splits-sample-size)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## [Dataset Description](#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
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- **Total amount of disk used:** 4924.51 MB
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### [Dataset Summary](#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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a list of choices. The examples are manually constructed to foil simple statistical methods: Each
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one is contingent on contextual information provided by a single word or phrase in the sentence.
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To convert the problem into sentence pair classification, we construct sentence pairs by replacing
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the ambiguous pronoun with each possible referent. The task is to predict if the sentence with the
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pronoun substituted is entailed by the original sentence. We use a small evaluation set consisting of
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new examples derived from fiction books that was shared privately by the authors of the original
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corpus. While the included training set is balanced between two classes, the test set is imbalanced
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between them (65% not entailment). Also, due to a data quirk, the development set is adversarial:
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hypotheses are sometimes shared between training and development examples, so if a model memorizes the
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training examples, they will predict the wrong label on corresponding development set
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example. As with QNLI, each example is evaluated separately, so there is not a systematic correspondence
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between a model's score on this task and its score on the unconverted original task. We
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call converted dataset WNLI (Winograd NLI). This dataset is translated and publicly released for 3
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Indian languages by AI4Bharat.
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### [Supported Tasks](#supported-tasks)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Languages](#languages)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Dataset Structure](#dataset-structure)
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We show detailed information for up to 5 configurations of the dataset.
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### [Data Instances](#data-instances)
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#### actsa-sc.te
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- **Size of downloaded dataset files:** 0.36 MB
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- **Size of the generated dataset:** 1.63 MB
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- **Total amount of disk used:** 1.99 MB
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An example of 'validation' looks as follows.
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```
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This example was too long and was cropped:
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{
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"label": 0,
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"text": "\"ప్రయాణాల్లో ఉన్నవారికోసం బస్ స్టేషన్లు, రైల్వే స్టేషన్లలో పల్స్పోలియో బూతులను ఏర్పాటు చేసి చిన్నారులకు పోలియో చుక్కలు వేసేలా ఏర..."
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}
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```
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#### bbca.hi
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- **Size of downloaded dataset files:** 5.50 MB
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- **Size of the generated dataset:** 26.35 MB
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- **Total amount of disk used:** 31.85 MB
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An example of 'train' looks as follows.
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```
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This example was too long and was cropped:
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{
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"label": "pakistan",
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"text": "\"नेटिजन यानि इंटरनेट पर सक्रिय नागरिक अब ट्विटर पर सरकार द्वारा लगाए प्रतिबंधों के समर्थन या विरोध में अपने विचार व्यक्त करते है..."
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}
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```
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#### copa.en
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- **Size of downloaded dataset files:** 0.72 MB
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- **Size of the generated dataset:** 0.11 MB
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- **Total amount of disk used:** 0.83 MB
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An example of 'validation' looks as follows.
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```
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{
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"choice1": "I swept the floor in the unoccupied room.",
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"choice2": "I shut off the light in the unoccupied room.",
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"label": 1,
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"premise": "I wanted to conserve energy.",
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"question": "effect"
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}
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```
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#### copa.gu
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- **Size of downloaded dataset files:** 0.72 MB
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- **Size of the generated dataset:** 0.22 MB
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- **Total amount of disk used:** 0.94 MB
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An example of 'train' looks as follows.
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```
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This example was too long and was cropped:
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{
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"choice1": "\"સ્ત્રી જાણતી હતી કે તેનો મિત્ર મુશ્કેલ સમયમાંથી પસાર થઈ રહ્યો છે.\"...",
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"choice2": "\"મહિલાને લાગ્યું કે તેના મિત્રએ તેની દયાળુ લાભ લીધો છે.\"...",
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"label": 0,
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"premise": "મહિલાએ તેના મિત્રની મુશ્કેલ વર્તન સહન કરી.",
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"question": "cause"
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}
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```
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#### copa.hi
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- **Size of downloaded dataset files:** 0.72 MB
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- **Size of the generated dataset:** 0.22 MB
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- **Total amount of disk used:** 0.94 MB
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An example of 'validation' looks as follows.
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```
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{
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"choice1": "मैंने उसका प्रस्ताव ठुकरा दिया।",
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"choice2": "उन्होंने मुझे उत्पाद खरीदने के लिए राजी किया।",
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"label": 0,
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"premise": "मैंने सेल्समैन की पिच पर शक किया।",
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"question": "effect"
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}
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```
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### [Data Fields](#data-fields)
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The data fields are the same among all splits.
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#### actsa-sc.te
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- `text`: a `string` feature.
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- `label`: a classification label, with possible values including `positive` (0), `negative` (1).
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#### bbca.hi
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- `label`: a `string` feature.
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- `text`: a `string` feature.
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#### copa.en
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- `premise`: a `string` feature.
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- `choice1`: a `string` feature.
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- `choice2`: a `string` feature.
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- `question`: a `string` feature.
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- `label`: a `int32` feature.
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#### copa.gu
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- `premise`: a `string` feature.
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- `choice1`: a `string` feature.
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- `choice2`: a `string` feature.
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- `question`: a `string` feature.
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- `label`: a `int32` feature.
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#### copa.hi
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- `premise`: a `string` feature.
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- `choice1`: a `string` feature.
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- `choice2`: a `string` feature.
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- `question`: a `string` feature.
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- `label`: a `int32` feature.
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### [Data Splits Sample Size](#data-splits-sample-size)
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#### actsa-sc.te
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| |train|validation|test|
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|-----------|----:|---------:|---:|
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|actsa-sc.te| 4328| 541| 541|
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#### bbca.hi
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| |train|test|
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|-------|----:|---:|
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|bbca.hi| 3467| 866|
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#### copa.en
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| |train|validation|test|
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|-------|----:|---------:|---:|
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|copa.en| 400| 100| 500|
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#### copa.gu
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| |train|validation|test|
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|-------|----:|---------:|---:|
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|copa.gu| 362| 88| 448|
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#### copa.hi
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| |train|validation|test|
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|-------|----:|---------:|---:|
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|copa.hi| 362| 88| 449|
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## [Dataset Creation](#dataset-creation)
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### [Curation Rationale](#curation-rationale)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Source Data](#source-data)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Annotations](#annotations)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Personal and Sensitive Information](#personal-and-sensitive-information)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Considerations for Using the Data](#considerations-for-using-the-data)
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### [Social Impact of Dataset](#social-impact-of-dataset)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Discussion of Biases](#discussion-of-biases)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Other Known Limitations](#other-known-limitations)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Additional Information](#additional-information)
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### [Dataset Curators](#dataset-curators)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Licensing Information](#licensing-information)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Citation Information](#citation-information)
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+
|
270 |
+
```
|
271 |
+
@inproceedings{kakwani2020indicnlpsuite,
|
272 |
+
title={{IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages}},
|
273 |
+
author={Divyanshu Kakwani and Anoop Kunchukuttan and Satish Golla and Gokul N.C. and Avik Bhattacharyya and Mitesh M. Khapra and Pratyush Kumar},
|
274 |
+
year={2020},
|
275 |
+
booktitle={Findings of EMNLP},
|
276 |
+
}
|
277 |
+
|
278 |
+
@inproceedings{kakwani2020indicnlpsuite,
|
279 |
+
title={{IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages}},
|
280 |
+
author={Divyanshu Kakwani and Anoop Kunchukuttan and Satish Golla and Gokul N.C. and Avik Bhattacharyya and Mitesh M. Khapra and Pratyush Kumar},
|
281 |
+
year={2020},
|
282 |
+
booktitle={Findings of EMNLP},
|
283 |
+
}
|
284 |
+
@inproceedings{Levesque2011TheWS,
|
285 |
+
title={The Winograd Schema Challenge},
|
286 |
+
author={H. Levesque and E. Davis and L. Morgenstern},
|
287 |
+
booktitle={KR},
|
288 |
+
year={2011}
|
289 |
+
}
|
290 |
+
|
291 |
+
```
|
292 |
+
|
293 |
+
|
294 |
+
### Contributions
|
295 |
+
|
296 |
+
Thanks to [@sumanthd17](https://github.com/sumanthd17) for adding this dataset.
|