References:
plain_text
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:ajgt_twitter_ar/plain_text')
- Description:
Arabic Jordanian General Tweets (AJGT) Corpus consisted of 1,800 tweets annotated as positive and negative. Modern Standard Arabic (MSA) or Jordanian dialect.
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'train' |
1800 |
- Features:
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"Negative",
"Positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}