References:
train
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:ubuntu_dialogs_corpus/train')
- Description:
Ubuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This provides a unique resource for research into building dialogue managers based on neural language models that can make use of large amounts of unlabeled data. The dataset has both the multi-turn property of conversations in the Dialog State Tracking Challenge datasets, and the unstructured nature of interactions from microblog services such as Twitter.
- License: No known license
- Version: 2.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
1000000 |
- Features:
{
"Context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Utterance": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Label": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
dev_test
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:ubuntu_dialogs_corpus/dev_test')
- Description:
Ubuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This provides a unique resource for research into building dialogue managers based on neural language models that can make use of large amounts of unlabeled data. The dataset has both the multi-turn property of conversations in the Dialog State Tracking Challenge datasets, and the unstructured nature of interactions from microblog services such as Twitter.
- License: No known license
- Version: 2.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
18920 |
'validation' |
19560 |
- Features:
{
"Context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Ground Truth Utterance": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Distractor_0": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Distractor_1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Distractor_2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Distractor_3": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Distractor_4": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Distractor_5": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Distractor_6": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Distractor_7": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Distractor_8": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}