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README.md
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### 5. Veracity prediction
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Finally, given a claim and its 3 QA pairs as evidence, we use another pre-trained BERT model [bert_veracity.ckpt](https://huggingface.co/chenxwh/AVeriTeC/blob/main/pretrained_models/bert_veracity.ckpt) to predict the veracity label. See [veracity_prediction.py](https://huggingface.co/chenxwh/AVeriTeC/blob/main/src/prediction/veracity_prediction.py) for more argument options. We provide the prediction file for this step on the dev set [here](https://huggingface.co/chenxwh/AVeriTeC/blob/main/data_store/
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```bash
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python -m src.prediction.veracity_prediction
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```
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### 5. Veracity prediction
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Finally, given a claim and its 3 QA pairs as evidence, we use another pre-trained BERT model [bert_veracity.ckpt](https://huggingface.co/chenxwh/AVeriTeC/blob/main/pretrained_models/bert_veracity.ckpt) to predict the veracity label. See [veracity_prediction.py](https://huggingface.co/chenxwh/AVeriTeC/blob/main/src/prediction/veracity_prediction.py) for more argument options. We provide the prediction file for this step on the dev set [here](https://huggingface.co/chenxwh/AVeriTeC/blob/main/data_store/dev_veracity_prediction.json).
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```bash
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python -m src.prediction.veracity_prediction
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```
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