Datasets:

legacy-datasets

/

ami

like 15

When trying to load the "microphone-single" or the "microphone-multi" configurations, a RuntimeError is raised:

.../huggingface/datasets/src/datasets/builder.py in _prepare_split(self, split_generator, check_duplicate_keys, file_format, num_proc, max_shard_size)
   1415         fpath = path_join(self._output_dir, fname)
   1416 
-> 1417         num_input_shards = _number_of_shards_in_gen_kwargs(split_generator.gen_kwargs)
   1418         if num_input_shards <= 1 and num_proc is not None:
   1419             logger.warning(

.../huggingface/datasets/src/datasets/utils/sharding.py in _number_of_shards_in_gen_kwargs(gen_kwargs)
     10     lists_lengths = {key: len(value) for key, value in gen_kwargs.items() if isinstance(value, list)}
     11     if len(set(lists_lengths.values())) > 1:
---> 12         raise RuntimeError(
     13             (
     14                 "Sharding is ambiguous for this dataset: "

RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
    - key samples_paths has length 6
    - key ids has length 7
    - key verification_ids has length 6
To fix this, check the 'gen_kwargs' and make sure to use lists only for data sources, and use tuples otherwise. In the end there should only be one single list, or several lists with the same length.