{
    "default": {
        "description": "Classical Arabic Named Entity Recognition corpus as a new corpus of tagged data that can be useful for handling the issues in recognition of Arabic named entities.\n",
        "citation": "@article{article,\nauthor = {Salah, Ramzi and Zakaria, Lailatul},\nyear = {2018},\nmonth = {12},\npages = {},\ntitle = {BUILDING THE CLASSICAL ARABIC NAMED ENTITY RECOGNITION CORPUS (CANERCORPUS)},\nvolume = {96},\njournal = {Journal of Theoretical and Applied Information Technology}\n}\n",
        "homepage": "https://github.com/RamziSalah/Classical-Arabic-Named-Entity-Recognition-Corpus",
        "license": "",
        "features": {
            "token": {
                "dtype": "string",
                "_type": "Value"
            },
            "ner_tag": {
                "names": [
                    "Allah",
                    "Book",
                    "Clan",
                    "Crime",
                    "Date",
                    "Day",
                    "Hell",
                    "Loc",
                    "Meas",
                    "Mon",
                    "Month",
                    "NatOb",
                    "Number",
                    "O",
                    "Org",
                    "Para",
                    "Pers",
                    "Prophet",
                    "Rlig",
                    "Sect",
                    "Time"
                ],
                "_type": "ClassLabel"
            }
        },
        "builder_name": "parquet",
        "dataset_name": "caner",
        "config_name": "default",
        "version": {
            "version_str": "1.1.0",
            "major": 1,
            "minor": 1,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 5095617,
                "num_examples": 258240,
                "dataset_name": null
            }
        },
        "download_size": 1459014,
        "dataset_size": 5095617,
        "size_in_bytes": 6554631
    }
}