Datasets:

amu-cai

/

pl-asr-bigos-v2

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Adam Mickiewicz University's Center for Artificial Intelligence 19

Hey,
Today I discovered that I am not able to load dataset using datasets library .
I would be so thankful for any help.

Code:

from datasets import load_dataset
ds_full = load_dataset('amu-cai/pl-asr-bigos-v2','pjatk-clarin_mobile-15') 

or

ds_full = load_dataset('amu-cai/pl-asr-bigos-v2','all',trust_remote_code=True)

Error:

File c:\Users\Eryk\anaconda3\envs\Magisterka\Lib\site-packages\datasets\builder.py:1726, in GeneratorBasedBuilder._prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, split_info, check_duplicate_keys, job_id)
   1725 _time = time.time()
-> 1726 for key, record in generator:
   1727     if max_shard_size is not None and writer._num_bytes > max_shard_size:

File ~\.cache\huggingface\modules\datasets_modules\datasets\amu-cai--pl-asr-bigos-v2\a25cb2a334616ef94467c071558eb16c3032550afc8d6c7413517f47c89b5b16\pl-asr-bigos-v2.py:224, in Bigos._generate_examples(self, local_extracted_archives, archive_iters, text_paths)
    223     lines = f.readlines()
--> 224     data = self._get_data(lines, subset_id)
    226 for audio_path, audio_file in archive:
    227     #print("audio_path: ", audio_path)

File ~\.cache\huggingface\modules\datasets_modules\datasets\amu-cai--pl-asr-bigos-v2\a25cb2a334616ef94467c071558eb16c3032550afc8d6c7413517f47c89b5b16\pl-asr-bigos-v2.py:181, in Bigos._get_data(self, lines, subset_id)
    180     line = line.decode("utf-8")
--> 181 (
    182     _id,
    183     split,
    184     dataset,
    185     speaker_id,
    186     sampling_rate_orig,
    187     sampling_rate,
    188     ref_orig,
    189     audio_path_bigos,
    190     gender,
    191     age
    192 
    193 ) = line.strip().split("\t")
    196 data[audio_path_bigos] = {
    197     "audioname": str.strip(_id),
    198     "split": str.strip(split),
   (...)
    206     "speaker_gender": str.strip(gender)
    207 }

ValueError: not enough values to unpack (expected 10, got 8)

The above exception was the direct cause of the following exception:

DatasetGenerationError                    Traceback (most recent call last)
Cell In[22], line 2
      1 from datasets import load_dataset
----> 2 ds_full = load_dataset('amu-cai/pl-asr-bigos-v2','pjatk-clarin_mobile-15',trust_remote_code=True)

File c:\Users\Eryk\anaconda3\envs\Magisterka\Lib\site-packages\datasets\load.py:2582, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
   2579 try_from_hf_gcs = path not in _PACKAGED_DATASETS_MODULES
   2581 # Download and prepare data
-> 2582 builder_instance.download_and_prepare(
   2583     download_config=download_config,
   2584     download_mode=download_mode,
   2585     verification_mode=verification_mode,
   2586     try_from_hf_gcs=try_from_hf_gcs,
   2587     num_proc=num_proc,
   2588     storage_options=storage_options,
   2589 )
   2591 # Build dataset for splits
   2592 keep_in_memory = (
   2593     keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
   2594 )

File c:\Users\Eryk\anaconda3\envs\Magisterka\Lib\site-packages\datasets\builder.py:1005, in DatasetBuilder.download_and_prepare(self, output_dir, download_config, download_mode, verification_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)
   1003     if num_proc is not None:
   1004         prepare_split_kwargs["num_proc"] = num_proc
-> 1005     self._download_and_prepare(
   1006         dl_manager=dl_manager,
   1007         verification_mode=verification_mode,
   1008         **prepare_split_kwargs,
   1009         **download_and_prepare_kwargs,
   1010     )
   1011 # Sync info
   1012 self.info.dataset_size = sum(split.num_bytes for split in self.info.splits.values())

File c:\Users\Eryk\anaconda3\envs\Magisterka\Lib\site-packages\datasets\builder.py:1767, in GeneratorBasedBuilder._download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs)
   1766 def _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs):
-> 1767     super()._download_and_prepare(
   1768         dl_manager,
   1769         verification_mode,
   1770         check_duplicate_keys=verification_mode == VerificationMode.BASIC_CHECKS
   1771         or verification_mode == VerificationMode.ALL_CHECKS,
   1772         **prepare_splits_kwargs,
   1773     )

File c:\Users\Eryk\anaconda3\envs\Magisterka\Lib\site-packages\datasets\builder.py:1100, in DatasetBuilder._download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
   1096 split_dict.add(split_generator.split_info)
   1098 try:
   1099     # Prepare split will record examples associated to the split
-> 1100     self._prepare_split(split_generator, **prepare_split_kwargs)
   1101 except OSError as e:
   1102     raise OSError(
   1103         "Cannot find data file. "
   1104         + (self.manual_download_instructions or "")
   1105         + "\nOriginal error:\n"
   1106         + str(e)
   1107     ) from None

File c:\Users\Eryk\anaconda3\envs\Magisterka\Lib\site-packages\datasets\builder.py:1605, in GeneratorBasedBuilder._prepare_split(self, split_generator, check_duplicate_keys, file_format, num_proc, max_shard_size)
   1603 job_id = 0
   1604 with pbar:
-> 1605     for job_id, done, content in self._prepare_split_single(
   1606         gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
   1607     ):
   1608         if done:
   1609             result = content

File c:\Users\Eryk\anaconda3\envs\Magisterka\Lib\site-packages\datasets\builder.py:1762, in GeneratorBasedBuilder._prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, split_info, check_duplicate_keys, job_id)
   1760     if isinstance(e, SchemaInferenceError) and e.__context__ is not None:
   1761         e = e.__context__
-> 1762     raise DatasetGenerationError("An error occurred while generating the dataset") from e
   1764 yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths)

DatasetGenerationError: An error occurred while generating the dataset