import os
from datasets import load_dataset, Dataset

TOKEN = os.environ.get("DEBUG")
requests_dataset = load_dataset("AIEnergyScore/requests_debug", split="test")


def normalize_task(task):
    # Makes assumption about how the task names are being written, and called.
    task = '_'.join(task.split()).lower()
    return '_'.join(task.split('-')).lower()


requests_dset = requests_dataset.to_pandas()

for model, task in requests_dset[['model', 'task']].loc[
    requests_dset['status'] == 'PENDING'].to_dict(orient='split', index=False)[
    'data']:
    print("%s,%s" % (model, normalize_task(task)))