Referensi:
Gunakan perintah berikut untuk memuat dataset ini di TFDS:
ds = tfds.load('huggingface:counter')
- Deskripsi :
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.
- Lisensi : Korpus dilisensikan di bawah Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'train' | 600 |
- Fitur :
{
"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"
}
}
}