Factual Inconsistency CLassification with Explanation (FICLE)

This is the official repository for this paper.

The paper can be accessed here: https://arxiv.org/abs/2306.08872.

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Loading and Utilizing the FICLE Dataset:

The FICLE Dataset can be found on Hugging Face here: https://huggingface.co/datasets/tathagataraha/ficle.

The dataset can be loaded and utilized through the following:

from datasets import load_dataset
ficle_data = load_dataset("tathagataraha/ficle")

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Citation Information

Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma. Neural models for Factual Inconsistency Classification with Explanations. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023 (ECML-PKDD). Sep 18-22 2023. Torino, Italy.

@misc{raha2023neural,
      title={Neural models for Factual Inconsistency Classification with Explanations}, 
      author={Tathagata Raha and Mukund Choudhary and Abhinav Menon and Harshit Gupta and KV Aditya Srivatsa and Manish Gupta and Vasudeva Varma},
      year={2023},
      eprint={2306.08872},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

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