References:
happy
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:pec/happy')
- Description:
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.
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
22730 |
'train' |
157195 |
'validation' |
19829 |
- Features:
{
"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"
}
}
offmychest
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:pec/offmychest')
- Description:
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.
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
15324 |
'train' |
123968 |
'validation' |
16004 |
- Features:
{
"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"
}
}
all
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:pec/all')
- Description:
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.
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
38054 |
'train' |
281163 |
'validation' |
35833 |
- Features:
{
"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"
}
}