Referensi:
senang
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:pec/happy')
- Keterangan :
A dataset of around 350K persona-based empathetic conversations.
Each speaker is associated with a persona, which comprises multiple persona sentences.
The response of each conversation is empathetic.
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 22730 |
'train' | 157195 |
'validation' | 19829 |
- Fitur :
{
"personas": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"context": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"context_speakers": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"response": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_speaker": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
di luar dadaku
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:pec/offmychest')
- Keterangan :
A dataset of around 350K persona-based empathetic conversations.
Each speaker is associated with a persona, which comprises multiple persona sentences.
The response of each conversation is empathetic.
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 15324 |
'train' | 123968 |
'validation' | 16004 |
- Fitur :
{
"personas": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"context": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"context_speakers": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"response": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_speaker": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
semua
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:pec/all')
- Keterangan :
A dataset of around 350K persona-based empathetic conversations.
Each speaker is associated with a persona, which comprises multiple persona sentences.
The response of each conversation is empathetic.
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.0.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'test' | 38054 |
'train' | 281163 |
'validation' | 35833 |
- Fitur :
{
"personas": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"context": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"context_speakers": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"response": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_speaker": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}