参考文献:
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:hover')
- 説明：
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.
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 4000 |
'train' | 18171 |
'validation' | 4000 |
- 特徴：
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"uid": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"claim": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"supporting_facts": [
{
"key": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"value": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
],
"label": {
"num_classes": 2,
"names": [
"NOT_SUPPORTED",
"SUPPORTED"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"num_hops": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"hpqa_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}