# 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
```
task_categories:text-classification size_categories:100K<n<1M language:en region:us
{"language": ["en"], "size_categories": ["100K<n<1M"], "task_categories": ["text-classification"], "pretty_name": "FEVER", "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}}
TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-English #region-us 

# Dataset Card for "fever"

FEVER dataset with evidence retrieved by KGAT, see my paper for more info.
Labels are converted to integers with the rule:

# Dataset Card for "fever"

FEVER dataset with evidence retrieved by KGAT, see my paper for more info.
Labels are converted to integers with the rule:
TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-English #region-us 
 # Dataset Card for "fever"

FEVER dataset with evidence retrieved by KGAT, see my paper for more info.
Labels are converted to integers with the rule:
passage: TAGS
#task_categories-text-classification #size_categories-100K<n<1M #language-English #region-us 
# Dataset Card for "fever"

FEVER dataset with evidence retrieved by KGAT, see my paper for more info.
Labels are converted to integers with the rule: