参照：
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:counter')
- 説明：
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.
- ライセンス：コーパスは、Creative Commons Attribution-NonCommercial-ShareAlike 4.0InternationalLicenseの下でライセンスされています。
- バージョン：1.0.0
- 分割：
| スプリット | 例 |
|---|---|
'train' | 600 |
- 特徴：
{
"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"
}
}
}