All datasets / KhyontekAI
KhyontekAI/Assamese-IndicXNLI-Triplet-Random-Negatives
The declared licence (cc0-1.0) is classified as permissive.
- Declared licence
- cc0-1.0, from the tagEvidence: README.md at 5f6ea33
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 5f6ea33
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@inproceedings{aggarwal-etal-2022-indicxnli,
title = {IndicXNLI: Evaluating Multilingual Inference for Indian 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},
address = {Abu Dhabi, United Arab Emirates},
publisher = {Association for Computational Linguistics},
pages = {10994--11006},
doi = {10.18653/v1/2022.emnlp-main.755}
}
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "KhyontekAI/Assamese-IndicXNLI-Triplet-Random-Negatives" })
signal: "permissive"
stated_licence: "cc0-1.0"
sources: 0