| 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() | |