Datasets:

mispeech

/

speechocean762

like 3

i try to load the dataset using load_dataset
using
datasets-2.16.1

traceback
```py

FileNotFoundError Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _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:

9 frames
~/.cache/huggingface/modules/datasets_modules/datasets/mispeech--speechocean762/dbd20f1d40d1a8bc33f9d8f409366839c0db9119bc61c642bce130cbd2256eb2/speechocean762.py in _generate_examples(self, filepath)
87 def _generate_examples(self, filepath):
---> 88 with open(filepath, encoding="utf-8") as f:
89 for key, row in json.load(f).items():

/usr/local/lib/python3.10/dist-packages/datasets/streaming.py in wrapper(*args, **kwargs)
74 def wrapper(*args, **kwargs):
---> 75 return function(*args, download_config=download_config, **kwargs)
76

/usr/local/lib/python3.10/dist-packages/datasets/download/streaming_download_manager.py in xopen(file, mode, download_config, *args, **kwargs)
500 if is_local_path(main_hop):
--> 501 return open(main_hop, mode, *args, **kwargs)
502 # add headers and cookies for authentication on the HF Hub and for Google Drive

FileNotFoundError: [Errno 2] No such file or directory: 'resource/train.json'

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

DatasetGenerationError Traceback (most recent call last)
in <cell line: 3>()
1 from datasets import load_dataset
2
----> 3 test_set = load_dataset("mispeech/speechocean762", trust_remote_code=True,)

/usr/local/lib/python3.10/dist-packages/datasets/load.py 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)
2547
2548 # Download and prepare data
-> 2549 builder_instance.download_and_prepare(
2550 download_config=download_config,
2551 download_mode=download_mode,

/usr/local/lib/python3.10/dist-packages/datasets/builder.py in 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,

/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs)
1765
1766 def _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs):
-> 1767 super()._download_and_prepare(
1768 dl_manager,
1769 verification_mode,

/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
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(

/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _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 ):

/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _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
1763
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
Generating train split:
0/0 [00:00<?, ? examples/s]
```