References:
conv_ai_2
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:conv_ai_2/conv_ai_2')
- Description:
ConvAI is a dataset of human-to-bot conversations labelled for quality. This data can be used to train a metric for evaluating dialogue systems. Moreover, it can be used in the development of chatbots themselves: it contains the information on the quality of utterances and entire dialogues, that can guide a dialogue system in search of better answers.
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
3495 |
- Features:
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"dialog_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"dialog": [
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"sender": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sender_class": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"bot_profile": {
"feature": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"length": -1,
"id": null,
"_type": "Sequence"
},
"user_profile": {
"feature": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"length": -1,
"id": null,
"_type": "Sequence"
},
"eval_score": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"profile_match": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}