Datasets:
Unable to download the dataset
I am trying to download the english dataset but I get this error:
DatasetGenerationError: An error occurred while generating the dataset
Full stack trace:
+++++++++++++++++++++++++++++++++++++
4 dataset = load_dataset("whoisjones/fiNERweb", "en") # For English
5 # dataset = load_dataset("whoisjones/fiNERweb", "en") # For English
6
7
8 # Access the data
9 print(dataset["train"][0])
File ~/myenv3.10/lib/python3.10/site-packages/datasets/load.py:2084, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, keep_in_memory, save_infos, revision, token, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
2081 return builder_instance.as_streaming_dataset(split=split)
2083 # Download and prepare data
-> 2084 builder_instance.download_and_prepare(
2085 download_config=download_config,
2086 download_mode=download_mode,
2087 verification_mode=verification_mode,
2088 num_proc=num_proc,
2089 storage_options=storage_options,
2090 )
2092 # Build dataset for splits
2093 keep_in_memory = (
2094 keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
2095 )
File ~/myenv3.10/lib/python3.10/site-packages/datasets/builder.py:925, in DatasetBuilder.download_and_prepare(self, output_dir, download_config, download_mode, verification_mode, dl_manager, base_path, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)
923 if num_proc is not None:
924 prepare_split_kwargs["num_proc"] = num_proc
--> 925 self._download_and_prepare(
926 dl_manager=dl_manager,
927 verification_mode=verification_mode,
928 **prepare_split_kwargs,
929 **download_and_prepare_kwargs,
930 )
931 # Sync info
932 self.info.dataset_size = sum(split.num_bytes for split in self.info.splits.values())
File ~/myenv3.10/lib/python3.10/site-packages/datasets/builder.py:1649, in GeneratorBasedBuilder._download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs)
1648 def _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs):
-> 1649 super()._download_and_prepare(
1650 dl_manager,
1651 verification_mode,
1652 check_duplicate_keys=verification_mode == VerificationMode.BASIC_CHECKS
1653 or verification_mode == VerificationMode.ALL_CHECKS,
1654 **prepare_splits_kwargs,
1655 )
File ~/myenv3.10/lib/python3.10/site-packages/datasets/builder.py:1001, in DatasetBuilder._download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
997 split_dict.add(split_generator.split_info)
999 try:
1000 # Prepare split will record examples associated to the split
-> 1001 self._prepare_split(split_generator, **prepare_split_kwargs)
1002 except OSError as e:
1003 raise OSError(
1004 "Cannot find data file. "
1005 + (self.manual_download_instructions or "")
1006 + "\nOriginal error:\n"
1007 + str(e)
1008 ) from None
File ~/myenv3.10/lib/python3.10/site-packages/datasets/builder.py:1487, in GeneratorBasedBuilder._prepare_split(self, split_generator, check_duplicate_keys, file_format, num_proc, max_shard_size)
1485 job_id = 0
1486 with pbar:
-> 1487 for job_id, done, content in self._prepare_split_single(
1488 gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
1489 ):
1490 if done:
1491 result = content
File ~/myenv3.10/lib/python3.10/site-packages/datasets/builder.py:1644, in GeneratorBasedBuilder._prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, split_info, check_duplicate_keys, job_id)
1642 if isinstance(e, SchemaInferenceError) and e.context is not None:
1643 e = e.context
-> 1644 raise DatasetGenerationError("An error occurred while generating the dataset") from e
1646 yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths)
DatasetGenerationError: An error occurred while generating the dataset
I haven't wrote the loader script yet because I am currently working on something different - you still should be able to download the dataset and load each language independently using Dataset.load_from_disk(). I will work on this project again soonish (in a couple of weeks).
Thanks, I was able to read the dataset.