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:scicite')
- 説明:
This is a dataset for classifying citation intents in academic papers.
The main citation intent label for each Json object is specified with the label
key while the citation context is specified in with a context key. Example:
{
'string': 'In chacma baboons, male-infant relationships can be linked to both
formation of friendships and paternity success [30,31].'
'sectionName': 'Introduction',
'label': 'background',
'citingPaperId': '7a6b2d4b405439',
'citedPaperId': '9d1abadc55b5e0',
...
}
You may obtain the full information about the paper using the provided paper ids
with the Semantic Scholar API (https://api.semanticscholar.org/).
The labels are:
Method, Background, Result
- ライセンス: 既知のライセンスはありません
- バージョン: 1.0.0
- 分割:
スプリット | 例 |
---|---|
'test' | 1859年 |
'train' | 8194 |
'validation' | 916 |
- 特徴:
{
"string": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sectionName": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 3,
"names": [
"method",
"background",
"result"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"citingPaperId": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"citedPaperId": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"excerpt_index": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"isKeyCitation": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"label2": {
"num_classes": 4,
"names": [
"supportive",
"not_supportive",
"cant_determine",
"none"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"citeEnd": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"citeStart": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"source": {
"num_classes": 7,
"names": [
"properNoun",
"andPhrase",
"acronym",
"etAlPhrase",
"explicit",
"acronymParen",
"nan"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"label_confidence": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"label2_confidence": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}