task_categories:text-classification size_categories:100K<n<1M language:en region:us
---
dataset_info:
  features:
  - name: evidence
    sequence: string
  - name: label
    dtype: int64
  - name: key
    dtype: int64
  - name: claim
    dtype: string
  splits:
  - name: dev
    num_bytes: 17117220
    num_examples: 19998
  - name: train
    num_bytes: 129483687
    num_examples: 145405
  - name: test
    num_bytes: 16951526
    num_examples: 19998
  download_size: 89358795
  dataset_size: 163552433
task_categories:
- text-classification
language:
- en
pretty_name: FEVER
size_categories:
- 100K<n<1M
---
# Dataset Card for "fever"

FEVER dataset with evidence retrieved by [KGAT](https://aclanthology.org/2020.acl-main.655/), see my [paper](https://aclanthology.org/2022.naacl-main.181/) for more info.
Labels are converted to integers with the rule:
```json
"SUPPORTS": 0
"NOT ENOUGH INFO": 1
"REFUTES": 2
```