Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
fact-checking
Languages:
English
Size:
100K - 1M
License:
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### Dataset Summary
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Dataset for training classification-only fact checking with claims from FEVER dataset.
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This dataset is used in the paper "Generating Label Cohesive and Well-Formed Adversarial Claims", EMNLP 2020
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The evidence is the gold evidence from the FEVER dataset for REFUTE and SUPPORT claims.
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For NEI claims, we extract evidence sentences with the system in "Christopher Malon. 2018. Team Papelo: Transformer Networks at FEVER. In Proceedings of the
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First Workshop on Fact Extraction and VERification (FEVER), pages 109113."
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### Dataset Summary
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Dataset for training classification-only fact checking with claims from the FEVER dataset.
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This dataset is used in the paper "Generating Label Cohesive and Well-Formed Adversarial Claims", EMNLP 2020
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The evidence is the gold evidence from the FEVER dataset for *REFUTE* and *SUPPORT* claims.
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For *NEI* claims, we extract evidence sentences with the system in "Christopher Malon. 2018. Team Papelo: Transformer Networks at FEVER. In Proceedings of the
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First Workshop on Fact Extraction and VERification (FEVER), pages 109113."
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