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AI-generated summary
Prepare the data by running the `prepare_data.py` script and mapping specific numbers to corresponding names. The data is then segmented into training, validation, and test sets based on the specified ranges.

Readme#

1. data preparation (data segmentation)#

python prepare_data.py

name_map = {
    "11": "322249",
    "12": "29402",
    "13": "884631",
    "14": "1194122",
    "15": "960485",
    "16": "1577369",
    "17": "913779",
    "18": "272659",
    "19": "251303",
    "20": "1437196",
    "21": "670042",
    "22": "1030571",
    "23": "1525556",
    "24": "722320",
    "25": "1546805",
    "26": "1301706",
    "27": "541502",
    "28": "426300",
    "29": "1335544",
    "30": "774703",
}

Distribution#

train: 11 ~ 20
valid: 21 ~ 23
test : 24 ~ 30
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