Ссылки:
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:danish_political_comments')
- Описание :
The dataset consists of 9008 sentences that are labelled with fine-grained polarity in the range from -2 to 2 (negative to postive). The quality of the fine-grained is not cross validated and is therefore subject to uncertainties; however, the simple polarity has been cross validated and therefore is considered to be more correct.
- Лицензия : Нет известной лицензии.
- Версия : 0.9.1
- Расколы :
| Расколоть | Примеры |
|---|---|
'train' | 9008 |
- Функции :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"num_classes": 5,
"names": [
"2",
"1",
"0",
"-1",
"-2"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Ссылки:
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:danish_political_comments')
- Описание :
The dataset consists of 9008 sentences that are labelled with fine-grained polarity in the range from -2 to 2 (negative to postive). The quality of the fine-grained is not cross validated and is therefore subject to uncertainties; however, the simple polarity has been cross validated and therefore is considered to be more correct.
- Лицензия : Нет известной лицензии.
- Версия : 0.9.1
- Расколы :
| Расколоть | Примеры |
|---|---|
'train' | 9008 |
- Функции :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"num_classes": 5,
"names": [
"2",
"1",
"0",
"-1",
"-2"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}