References:
plain_text
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:journalists_questions/plain_text')
- Description:
The journalists_questions corpus (version 1.0) is a collection of 10K human-written Arabic
tweets manually labeled for question identification over Arabic tweets posted by journalists.
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
10077 |
- Features:
{
"tweet_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"no",
"yes"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"label_confidence": {
"dtype": "float32",
"id": null,
"_type": "Value"
}
}