Update README.md

README.md

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----
-license: mit
----
+annotations_creators:
+- machine-generated
+- expert-generated
+language_creators:
+- machine-generated
+- crowdsourced
+languages:
+- en
+licenses:
+- cc-by-sa-3.0
+- gpl-3.0
+multilinguality:
+- monolingual
+paperswithcode_id: fever
+pretty_name: ''
+size_categories:
+- 100K<n<1M
+source_datasets:
+- extended|fever
+task_categories:
+- text-classification
+task_ids:
+- fact-checking
+
+# Dataset Card for fever_gold_evidence
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** https://github.com/copenlu/fever-adversarial-attacks
+- **Repository:** https://github.com/copenlu/fever-adversarial-attacks
+- **Paper:** https://aclanthology.org/2020.emnlp-main.256/
+- **Leaderboard:** [Needs More Information]
+- **Point of Contact:** [Needs More Information]
+
+### Dataset Summary
+
+Dataset for training classification-only fact checking with claims from FEVER dataset.
+This dataset is used in the paper "Generating Label Cohesive and Well-Formed Adversarial Claims", EMNLP 2020
+
+The evidence is the gold evidence from the FEVER dataset for REFUTE and SUPPORT claims.
+For NEI claims, we extract evidence sentences with the system in "Christopher Malon. 2018. Team Papelo: Transformer Networks at FEVER. In Proceedings of the
+First Workshop on Fact Extraction and VERification (FEVER), pages 109113."
+
+
+### Supported Tasks and Leaderboards
+
+[Needs More Information]
+
+### Languages
+
+[Needs More Information]
+
+## Dataset Structure
+
+### Data Instances
+
+[Needs More Information]
+
+### Data Fields
+
+[Needs More Information]
+
+### Data Splits
+
+[Needs More Information]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[Needs More Information]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[Needs More Information]
+
+#### Who are the source language producers?
+
+[Needs More Information]
+
+### Annotations
+
+#### Annotation process
+
+[Needs More Information]
+
+#### Who are the annotators?
+
+[Needs More Information]
+
+### Personal and Sensitive Information
+
+[Needs More Information]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Needs More Information]
+
+### Discussion of Biases
+
+[Needs More Information]
+
+### Other Known Limitations
+
+[Needs More Information]
+
+## Additional Information
+
+### Dataset Curators
+
+[Needs More Information]
+
+### Licensing Information
+
+[Needs More Information]
+
+### Citation Information
+
+[Needs More Information]