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from pathlib import Path
from datasets import load_dataset
def main():
tasks = ["safety_or_not"]
# check that all the expected files exist
prediction_files = list(Path(".").glob("*.csv"))
mismatched_files = set(tasks).symmetric_difference(set([f.stem for f in prediction_files]))
if mismatched_files:
raise ValueError(f"Incorrect number of files! Expected {len(tasks)} files, but got {len(prediction_files)}.")
# check we can load the dataset for each task
load_errors = []
for task in tasks:
try:
dset = load_dataset("../raft_submission", task)
except Exception as e:
load_errors.append(e)
if load_errors:
raise ValueError(f"Could not load predictions! Errors: {load_errors}")
if __name__ == "__main__":
main()
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