dataset_infos.json

{
    "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.\n",
        "citation": "@inproceedings{alomari2017arabic,\n  title={Arabic tweets sentimental analysis using machine learning},\n  author={Alomari, Khaled Mohammad and ElSherif, Hatem M and Shaalan, Khaled},\n  booktitle={International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems},\n  pages={602--610},\n  year={2017},\n  organization={Springer}\n}\n",
        "homepage": "https://github.com/komari6/Arabic-twitter-corpus-AJGT",
        "license": "",
        "features": {
            "text": {
                "dtype": "string",
                "_type": "Value"
            },
            "label": {
                "names": [
                    "Negative",
                    "Positive"
                ],
                "_type": "ClassLabel"
            }
        },
        "task_templates": [
            {
                "task": "text-classification",
                "label_column": "label"
            }
        ],
        "builder_name": "parquet",
        "dataset_name": "ajgt_twitter_ar",
        "config_name": "plain_text",
        "version": {
            "version_str": "1.0.0",
            "major": 1,
            "minor": 0,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 175420,
                "num_examples": 1800,
                "dataset_name": null
            }
        },
        "download_size": 91857,
        "dataset_size": 175420,
        "size_in_bytes": 267277
    }
}