task_categories:text-retrieval task_ids:fact-checking-retrieval annotations_creators:expert-generated language_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:en license:cc-by-sa-4.0 arxiv:2011.03088 region:us
HoVer is an open-domain, many-hop fact extraction and claim verification dataset built upon the Wikipedia corpus. The original 2-hop claims are adapted from question-answer pairs from HotpotQA. It is collected by a team of NLP researchers at UNC Chapel Hill and Verisk Analytics.
@inproceedings{jiang2020hover,
  title={{HoVer}: A Dataset for Many-Hop Fact Extraction And Claim Verification},
  author={Yichen Jiang and Shikha Bordia and Zheng Zhong and Charles Dognin and Maneesh Singh and Mohit Bansal.},
  booktitle={Findings of the Conference on Empirical Methods in Natural Language Processing ({EMNLP})},
  year={2020}
}
---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
- found
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-retrieval
task_ids:
- fact-checking-retrieval
paperswithcode_id: hover
pretty_name: HoVer
dataset_info:
  features:
  - name: id
    dtype: int32
  - name: uid
    dtype: string
  - name: claim
    dtype: string
  - name: supporting_facts
    list:
    - name: key
      dtype: string
    - name: value
      dtype: int32
  - name: label
    dtype:
      class_label:
        names:
          '0': NOT_SUPPORTED
          '1': SUPPORTED
  - name: num_hops
    dtype: int32
  - name: hpqa_id
    dtype: string
  splits:
  - name: train
    num_bytes: 5532178
    num_examples: 18171
  - name: validation
    num_bytes: 1299252
    num_examples: 4000
  - name: test
    num_bytes: 927513
    num_examples: 4000
  download_size: 12257835
  dataset_size: 7758943
---

# Dataset Card for HoVer

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [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)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** https://hover-nlp.github.io/
- **Repository:** https://github.com/hover-nlp/hover
- **Paper:** https://arxiv.org/abs/2011.03088
- **Leaderboard:** https://hover-nlp.github.io/
- **Point of Contact:** [More Information Needed]

### Dataset Summary

[More Information Needed]

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

A sample training set is provided below

```
{'id': 14856, 'uid': 'a0cf45ea-b5cd-4c4e-9ffa-73b39ebd78ce', 'claim': 'The park at which Tivolis Koncertsal is located opened on 15 August 1843.', 'supporting_facts': [{'key': 'Tivolis Koncertsal', 'value': 0}, {'key': 'Tivoli Gardens', 'value': 1}], 'label': 'SUPPORTED', 'num_hops': 2, 'hpqa_id': '5abca1a55542993a06baf937'}
```

Please note that in test set sentence only id, uid and claim are available. Labels are not available in test set and are represented by -1.


### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

[More Information Needed]

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

[More Information Needed]

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]
### Contributions

Thanks to [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset.