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- license: mit
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+ annotations_creators:
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+ - machine-generated
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+ - expert-generated
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+ language_creators:
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+ - machine-generated
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+ - crowdsourced
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+ languages:
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+ - en
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+ licenses:
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+ - cc-by-sa-3.0
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+ - gpl-3.0
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+ multilinguality:
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+ - monolingual
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+ paperswithcode_id: fever
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+ pretty_name: ''
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+ size_categories:
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+ - 100K<n<1M
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+ source_datasets:
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+ - extended|fever
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+ task_categories:
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+ - text-classification
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+ task_ids:
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+ - fact-checking
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+
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+ # Dataset Card for fever_gold_evidence
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-instances)
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+ - [Data Splits](#data-instances)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** https://github.com/copenlu/fever-adversarial-attacks
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+ - **Repository:** https://github.com/copenlu/fever-adversarial-attacks
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+ - **Paper:** https://aclanthology.org/2020.emnlp-main.256/
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+ - **Leaderboard:** [Needs More Information]
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+ - **Point of Contact:** [Needs More Information]
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+
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+ ### Dataset Summary
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+
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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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+
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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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+
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [Needs More Information]
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+
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+ ### Languages
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+
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+ [Needs More Information]
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ [Needs More Information]
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+
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+ ### Data Fields
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+
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+ [Needs More Information]
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+
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+ ### Data Splits
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+
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+ [Needs More Information]
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [Needs More Information]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [Needs More Information]
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+
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+ #### Who are the source language producers?
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+
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+ [Needs More Information]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [Needs More Information]
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+
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+ #### Who are the annotators?
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+
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+ [Needs More Information]
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+
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+ ### Personal and Sensitive Information
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+
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+ [Needs More Information]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [Needs More Information]
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+
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+ ### Discussion of Biases
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+
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+ [Needs More Information]
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+
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+ ### Other Known Limitations
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+
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+ [Needs More Information]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [Needs More Information]
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+
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+ ### Licensing Information
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+
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+ [Needs More Information]
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+
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+ ### Citation Information
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+
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+ [Needs More Information]