참고자료:
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:counter')
- 설명 :
The COrpus of Urdu News TExt Reuse (COUNTER) corpus contains 1200 documents with real examples of text reuse from the field of journalism. It has been manually annotated at document level with three levels of reuse: wholly derived, partially derived and non derived.
- 라이센스 : 이 말뭉치는 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License에 따라 라이센스가 부여됩니다.
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 600 |
- 특징 :
{
"source": {
"filename": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"headline": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"body": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"total_number_of_words": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"total_number_of_sentences": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"number_of_words_with_swr": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"newspaper": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"newsdate": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"domain": {
"num_classes": 5,
"names": [
"business",
"sports",
"national",
"foreign",
"showbiz"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"classification": {
"num_classes": 3,
"names": [
"wholly_derived",
"partially_derived",
"not_derived"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
},
"derived": {
"filename": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"headline": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"body": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"total_number_of_words": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"total_number_of_sentences": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"number_of_words_with_swr": {
"dtype": "int64",
"id": null,
"_type": "Value"
},
"newspaper": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"newsdate": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"domain": {
"num_classes": 5,
"names": [
"business",
"sports",
"national",
"foreign",
"showbiz"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"classification": {
"num_classes": 3,
"names": [
"wholly_derived",
"partially_derived",
"not_derived"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
}