참고자료:
좁은
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:style_change_detection/narrow')
- 설명 :
The goal of the style change detection task is to identify text positions within a given multi-author document at which the author switches. Detecting these positions is a crucial part of the authorship identification process, and for multi-author document analysis in general.
Access to the dataset needs to be requested from zenodo.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
나뉘다 | 예 |
---|---|
'train' | 3418 |
'validation' | 1713년 |
- 특징 :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"authors": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"structure": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"site": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"multi-author": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"changes": {
"feature": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
넓은
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:style_change_detection/wide')
- 설명 :
The goal of the style change detection task is to identify text positions within a given multi-author document at which the author switches. Detecting these positions is a crucial part of the authorship identification process, and for multi-author document analysis in general.
Access to the dataset needs to be requested from zenodo.
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
나뉘다 | 예 |
---|---|
'train' | 8030 |
'validation' | 4019 |
- 특징 :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"authors": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"structure": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"site": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"multi-author": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"changes": {
"feature": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}