References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:tweet_qa')
- Description:
TweetQA is the first dataset for QA on social media data by leveraging news media and crowdsourcing.
- License: CC BY-SA 4.0
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
1979 |
'train' |
10692 |
'validation' |
1086 |
- Features:
{
"Question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Answer": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"Tweet": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"qid": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}