{
    "name": "Apple Quality",
    "source": "https://www.kaggle.com/datasets/nelgiriyewithana/apple-quality/data",
    "data_intro": "This dataset contains information about various attributes of a set of fruits, providing insights into their characteristics. The dataset includes details such as fruit ID, size, weight, sweetness, crunchiness, juiciness, ripeness, acidity, and quality.",
    "is_splited": false,
    "overall_size": 4000,
    "train_size": 0,
    "test_size": 0,
    "c_classes": 2,
    "n_classes": 7,
    "task_type": "classification",
    "target": {
        "Quality": "Build a model to predict the quality rating of fruits using various attributes."
    },
    "cat_feature_intro": {
        "Acidity": "- Acidity: Acidity level of the fruit",
        "Quality": "- Quality: Overall quality of the fruit."
    },
    "num_feature_intro": {
        "A_id": "- A_id: Unique identifier for each fruit",
        "Size": "- Size: Size of the fruit",
        "Weight": "- Weight: Weight of the fruit",
        "Sweetness": "- Sweetness: Degree of sweetness of the fruit",
        "Crunchiness": "- Crunchiness: Texture indicating the crunchiness of the fruit",
        "Juiciness": "- Juiciness: Level of juiciness of the fruit",
        "Ripeness": "- Ripeness: Stage of ripeness of the fruit"
    },
    "evaluation_metric": null,
    "num_feature_value": {
        "A_id": [
            0.0,
            3999.0
        ],
        "Crunchiness": [
            -6.055057805,
            7.619851801
        ],
        "Juiciness": [
            -5.961897048,
            7.364402864
        ],
        "Ripeness": [
            -5.864598918,
            7.237836684
        ],
        "Size": [
            -7.151703059,
            6.406366899
        ],
        "Sweetness": [
            -6.894485494,
            6.374915513
        ],
        "Weight": [
            -7.149847675,
            5.79071359
        ]
    },
    "cat_feature_value": {
        "Acidity": "string",
        "Quality": [
            "bad",
            "good"
        ]
    }
}