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  - split: plain
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  path: wiki*.jsonl
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: plain
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  path: wiki*.jsonl
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  ---
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+
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+ # CFEVER-data
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+
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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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+
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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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+
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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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+
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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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+
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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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+ ```
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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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+ ```
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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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+ ```
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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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+
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+
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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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+