Referencje:
zwykły_tekst
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:dream/plain_text')
- Opis :
DREAM is a multiple-choice Dialogue-based REAding comprehension exaMination dataset. In contrast to existing reading comprehension datasets, DREAM is the first to focus on in-depth multi-turn multi-party dialogue understanding.
- Licencja : Brak znanej licencji
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 2041 |
'train' | 6116 |
'validation' | 2040 |
- Cechy :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"dialogue_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"dialogue": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
Referencje:
zwykły_tekst
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:dream/plain_text')
- Opis :
DREAM is a multiple-choice Dialogue-based REAding comprehension exaMination dataset. In contrast to existing reading comprehension datasets, DREAM is the first to focus on in-depth multi-turn multi-party dialogue understanding.
- Licencja : Brak znanej licencji
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'test' | 2041 |
'train' | 6116 |
'validation' | 2040 |
- Cechy :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"dialogue_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"dialogue": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}