Datasets:
Why I can't pull this dataset? can someone tell me how should I pull it?
How I pull the dataset:
"from datasets import load_dataset
dataset = load_dataset("GETALP/flue", "CLS", trust_remote_code=True) # ['CLS', 'PAWS-X', 'XNLI', 'WSD-V']
print(dataset)".
And this is the ERROR I had:
"""
ReadError 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)
1606 _time = time.time()
-> 1607 for key, record in generator:
1608 if max_shard_size is not None and writer._num_bytes > max_shard_size:
13 frames
~/.cache/huggingface/modules/datasets_modules/datasets/GETALP--flue/c049b264364575c7cae4c07b324e06151d104cb9674773476881db54bd603aa6/flue.py in _generate_examples(self, data_file, split, files)
385 if self.config.name == "CLS":
--> 386 for path, f in files:
387 for category in ["books", "dvd", "music"]:
/usr/local/lib/python3.10/dist-packages/datasets/utils/track.py in iter(self)
49 def iter(self):
---> 50 for x in self.generator(*self.args):
51 self.last_item = x
/usr/local/lib/python3.10/dist-packages/datasets/utils/file_utils.py in _iter_from_urlpath(cls, urlpath, download_config)
1341 else:
-> 1342 yield from cls._iter_tar(f)
1343
/usr/local/lib/python3.10/dist-packages/datasets/utils/file_utils.py in _iter_tar(f)
1292 def _iter_tar(f):
-> 1293 stream = tarfile.open(fileobj=f, mode="r|*")
1294 for tarinfo in stream:
/usr/lib/python3.10/tarfile.py in open(cls, name, mode, fileobj, bufsize, **kwargs)
1857 try:
-> 1858 t = cls(name, filemode, stream, **kwargs)
1859 except:
/usr/lib/python3.10/tarfile.py in init(self, name, mode, fileobj, format, tarinfo, dereference, ignore_zeros, encoding, errors, pax_headers, debug, errorlevel, copybufsize)
1735 self.firstmember = None
-> 1736 self.firstmember = self.next()
1737
/usr/lib/python3.10/tarfile.py in next(self)
2635 elif self.offset == 0:
-> 2636 raise ReadError(str(e)) from None
2637 except EmptyHeaderError:
ReadError: invalid header
The above exception was the direct cause of the following exception:
DatasetGenerationError Traceback (most recent call last)
in <cell line: 2>()
1 from datasets import load_dataset
----> 2 dataset = load_dataset("GETALP/flue", "CLS", trust_remote_code=True) # ['CLS', 'PAWS-X', 'XNLI', 'WSD-V']
3 print(dataset)
/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, keep_in_memory, save_infos, revision, token, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
2149
2150 # Download and prepare data
-> 2151 builder_instance.download_and_prepare(
2152 download_config=download_config,
2153 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, dl_manager, base_path, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)
922 if num_proc is not None:
923 prepare_split_kwargs["num_proc"] = num_proc
--> 924 self._download_and_prepare(
925 dl_manager=dl_manager,
926 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)
1646
1647 def _download_and_prepare(self, dl_manager, verification_mode, **prepare_splits_kwargs):
-> 1648 super()._download_and_prepare(
1649 dl_manager,
1650 verification_mode,
/usr/local/lib/python3.10/dist-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
998 try:
999 # Prepare split will record examples associated to the split
-> 1000 self._prepare_split(split_generator, **prepare_split_kwargs)
1001 except OSError as e:
1002 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)
1484 job_id = 0
1485 with pbar:
-> 1486 for job_id, done, content in self._prepare_split_single(
1487 gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
1488 ):
/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)
1641 if isinstance(e, SchemaInferenceError) and e.context is not None:
1642 e = e.context
-> 1643 raise DatasetGenerationError("An error occurred while generating the dataset") from e
1644
1645 yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths)
DatasetGenerationError: An error occurred while generating the dataset
"""
Dear @Neroism8422 ,
I hope you are doing well despite your frustration that transpires in the tone of your message (it is usually a common requirement to say hello, and please...).
Maybe it is related to the previous comment that clearly states that the data CLS task relies on is not open on zenodo anymore.
the original url is: data_url="https://zenodo.org/record/3251672/files/cls-acl10-unprocessed.tar.gz",
(as taken from the python script).
The zenodo record now clearly indicate a restriction. https://zenodo.org/record/3251672
I suppose you may have to download it manually after asking for authorization to original dataset author on zenodo.
Regards,
Gilles,
Dear @Neroism8422 ,
I hope you are doing well despite your frustration that transpires in the tone of your message (it is usually a common requirement to say hello, and please...).
Maybe it is related to the previous comment that clearly states that the data CLS task relies on is not open on zenodo anymore.
the original url is: data_url="https://zenodo.org/record/3251672/files/cls-acl10-unprocessed.tar.gz",
(as taken from the python script).The zenodo record now clearly indicate a restriction. https://zenodo.org/record/3251672
I suppose you may have to download it manually after asking for authorization to original dataset author on zenodo.
Regards,
Gilles,
Sorry, Just, I know you might trying to remind me "How to ask a question", I'm kind of in hurry, sorry about that. And thank you for your answer, I've already got the dataset, just for a FLUE benchmark on my model, huge thanks.