from datasets import load_dataset


requests_dataset = load_dataset('EnergyStarAI/requests_debug')['test']

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

for request in requests_dataset:
    status = request['status']
    if status == 'PENDING':
        model = request['model']
        task = normalize_task(request['task'])
        print("%s,%s" % (model, task))