journalists_questions

References:

• Code
• Huggingface

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:

• 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"
    }
}