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README.md
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path: wiki*.jsonl
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---
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path: wiki*.jsonl
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---
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# CFEVER-data
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## Introduction to CFEVER
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This repository contains the dataset for our AAAI 2024 paper, "CFEVER: A Chinese Fact Extraction and VERification Dataset". [Paper link](https://doi.org/10.1609/aaai.v38i17.29825).
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## Leaderboard website
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Please visit https://ikmlab.github.io/CFEVER to check the leaderboard of CFEVER.
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## Repository structure
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```
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CFEVER-data
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├── dev*.jsonl # CFEVER development set
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├── test*.jsonl # CFEVER test set without labels and evidence
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├── train*.jsonl # CFEVER training set
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├── wiki*.jsonl # CFEVER wiki pages
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├── LICENSE
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├── README.md
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└── sample_submission.jsonl # sample submission file of the test set
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```
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## Evaluation
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- Please refer to our codebase: https://github.com/IKMLab/CFEVER-baselines/?tab=readme-ov-file#evaluations
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## Submission
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- Please include three fields (necessary) in the prediction file for each claim in the test set.
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- `id`
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- `predicted_label`
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- `predicted_evidence`
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- The `id` field has been already included in [the test set](data/test.jsonl). Please do not change the order.
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- The `predicted_label` should be one of `supports`, `refutes`, or `NOT ENOUGH INFO`.
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- The `predicted_evidence` should be a list of evidence sentences, where each evidence sentence is represented by a list of `[page_id, line_number]`. For example:
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```
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# One evidence sentence for the claim
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{
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"id": 1,
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"predicted_label": "REFUTES",
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"predicted_evidence": [
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["page_id_2", 2],
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]
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}
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```
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```
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# Two evidence sentences for the claim
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{
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"id": 1,
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"predicted_label": "SUPPORTS",
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"predicted_evidence": [
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["page_id_1", 1],
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["page_id_2", 2],
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]
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}
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```
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```
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# The claim cannot be verified
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{
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"id": 1,
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"predicted_label": "NOT ENOUGH INFO",
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"predicted_evidence": None
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}
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```
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- After creating the prediction file, please email the file to yingjia.lin.public@gmail.com with a brief description of your method. We will evaluate your submission and update the leaderboard.
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- A randomly generated submission file can be found [here](sample_submission.jsonl).
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- Note that `claim` is not necessary to be included in the submission file.
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- You can also check [the prediction example for the development set](https://github.com/IKMLab/CFEVER-baselines/blob/main/simple_baseline/data/dumb_dev_pred.jsonl) and follow [the evaluation steps](https://github.com/IKMLab/CFEVER-baselines/tree/main?tab=readme-ov-file#sentence-retrieval-and-claim-verification) from [our CFEVER-baselines repo](https://github.com/IKMLab/CFEVER-baselines).
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## Reference
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If you find our work useful, please cite our paper.
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```
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@article{Lin_Lin_Yeh_Li_Hu_Hsu_Lee_Kao_2024,
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title = {CFEVER: A Chinese Fact Extraction and VERification Dataset},
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author = {Lin, Ying-Jia and Lin, Chun-Yi and Yeh, Chia-Jen and Li, Yi-Ting and Hu, Yun-Yu and Hsu, Chih-Hao and Lee, Mei-Feng and Kao, Hung-Yu},
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doi = {10.1609/aaai.v38i17.29825},
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journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
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month = {Mar.},
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number = {17},
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pages = {18626-18634},
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url = {https://ojs.aaai.org/index.php/AAAI/article/view/29825},
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volume = {38},
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year = {2024},
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bdsk-url-1 = {https://ojs.aaai.org/index.php/AAAI/article/view/29825},
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bdsk-url-2 = {https://doi.org/10.1609/aaai.v38i17.29825}
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}
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```
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