IndicXNLI: Evaluating Multilingual Inference for Indian Languages
Paper
•
2204.08776
•
Published
Error code: UnexpectedError
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This is a repaired version of the Divyanshu/indicxnli dataset, converted to parquet format for compatibility with HuggingFace datasets 4.x+.
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.
| Code | Language |
|---|---|
| as | Assamese |
| bn | Bengali |
| gu | Gujarati |
| hi | Hindi |
| kn | Kannada |
| ml | Malayalam |
| mr | Marathi |
| or | Oriya |
| pa | Punjabi |
| ta | Tamil |
| te | Telugu |
from datasets import load_dataset
# Load Hindi validation split
ds = load_dataset("AdaMLLab/indicxnli_repaired", "hi", split="validation")
Each sample contains:
premise (string): The premise sentencehypothesis (string): The hypothesis sentencelabel (int): 0=entailment, 1=neutral, 2=contradictionThis dataset uses the "forward" translation direction from the original dataset, where English XNLI was translated to Indic languages.
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"
}