Referências:
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:hindi_discourse')
- Descrição :
The Hindi Discourse Analysis dataset is a corpus for analyzing discourse modes present in its sentences.
It contains sentences from stories written by 11 famous authors from the 20th Century.
4-5 stories by each author have been selected which were available in the public domain resulting
in a collection of 53 stories. Most of these short stories were originally written in Hindi
but some of them were written in other Indian languages and later translated to Hindi.
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'train' | 9968 |
- Características :
{
"Story_no": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"Sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Discourse Mode": {
"num_classes": 6,
"names": [
"Argumentative",
"Descriptive",
"Dialogue",
"Informative",
"Narrative",
"Other"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}