IndicXNLI

Machine-translated XNLI for 11 Indic languages; lm-evaluation-harness currently scores only Gujarati three-way NLI on Divyanshu/indicxnli.

Also known as: INDICXNLI, Divyanshu/indicxnli

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Categoryreasoning
Subcategory11-language Indic three-way NLI (lm-eval currently Gujarati only)
Page statusunknown
Metricaccuracy
Directionhigher_is_better
Unit%
Dataset size5010
PublisherDelhi Technological University, University of Utah, and Microsoft Research

What it measures

IndicXNLI is three-way natural language inference in eleven Indic languages. Given a premise and a hypothesis, the model must choose entailment, neutral, or contradiction. Aggarwal, Gupta and Kunchukuttan built the set by running IndicTrans over English XNLI, then checking translation quality with paired human ratings on a 100-sentence DPP sample of each language's test set. The paper lists Assamese, Gujarati (written "Gujarat ('gu')"), Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, Telugu, Hindi and Bengali. lm-evaluation-harness currently ships only Gujarati, because facebook/xnli already covers Hindi and does not include Gujarati.

Task format

Three-way classification. lm-eval task indicxnli_gu scores multiple-choice log-likelihood over a Gujarati cloze: premise + ", સાચું? {હા|તેથી|ના}, " + hypothesis, with gold label 0/1/2 mapped onto those three continuations. The YAML sets training_split train, validation_split validation and test_split test, so the default run uses the 5,010-row Gujarati test split.

Models reporting this benchmark

No model card in ModelSpec reports this benchmark yet.

Data

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