AdaMLLab/indicxnli_repaired

IndicXNLI (Repaired)

This is a repaired version of the Divyanshu/indicxnli dataset, converted to parquet format for compatibility with HuggingFace datasets 4.x+.

Why this exists

The original dataset uses a Python loading script (indicxnli.py) which is no longer supported in HuggingFace datasets 4.x. This version converts the data to native parquet format.

Original Dataset

• Paper: IndicXNLI: Evaluating Multilingual Inference for Indian Languages
• Original Repo: Divyanshu/indicxnli

Languages

Code	Language
as	Assamese
bn	Bengali
gu	Gujarati
hi	Hindi
kn	Kannada
ml	Malayalam
mr	Marathi
or	Oriya
pa	Punjabi
ta	Tamil
te	Telugu

Usage

from datasets import load_dataset

# Load Hindi validation split
ds = load_dataset("AdaMLLab/indicxnli_repaired", "hi", split="validation")

Schema

Each sample contains:

• premise (string): The premise sentence
• hypothesis (string): The hypothesis sentence
• label (int): 0=entailment, 1=neutral, 2=contradiction

Data Source

This dataset uses the "forward" translation direction from the original dataset, where English XNLI was translated to Indic languages.

Citation

If you use this dataset, please cite the original paper:

@inproceedings{aggarwal-etal-2022-indicxnli,
    title = "{I}ndic{XNLI}: Evaluating Multilingual Inference for {I}ndian Languages",
    author = "Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    year = "2022"
}