Fix and improvements rejection sampling generation #335
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vwxyzjn
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Sep 6, 2024
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| ds = load_dataset(dataset_args.dataset_name) | ||
| ds = load_dataset(dataset_args.dataset_name, split=dataset_args.split) | ||
| if dataset_args.sanity_check: | ||
| for key in ds: | ||
| ds[key] = ds[key].select(range(min(dataset_args.sanity_check_size, len(ds[key])))) | ||
| ds = ds.select(range(min(dataset_args.sanity_check_size, len(ds)))) | ||
| if dataset_args.dataset_end_idx is None: | ||
| dataset_args.dataset_end_idx = len(ds[dataset_args.dataset_train_split]) | ||
| for key in ds: | ||
| ds[key] = ds[key].select(range(dataset_args.dataset_start_idx, dataset_args.dataset_end_idx)) | ||
| dataset_args.dataset_end_idx = len(ds) | ||
| ds = ds.select(range(dataset_args.dataset_start_idx, dataset_args.dataset_end_idx)) |
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We are only using ds[dataset_args.dataset_train_split]["prompt"] anyway. Might as well just select the proper split
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