Datasets:

breadlicker45

/

100k-websites

like 1

Title.

Geting the following error:

"""

TypeError Traceback (most recent call last)
Cell In[45], line 1
----> 1 dataset = load_dataset("breadlicker45/100k-websites")

File /opt/conda/lib/python3.10/site-packages/datasets/load.py:1691, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, **config_kwargs)
1688 try_from_hf_gcs = path not in _PACKAGED_DATASETS_MODULES
1690 # Download and prepare data
-> 1691 builder_instance.download_and_prepare(
1692 download_config=download_config,
1693 download_mode=download_mode,
1694 ignore_verifications=ignore_verifications,
1695 try_from_hf_gcs=try_from_hf_gcs,
1696 use_auth_token=use_auth_token,
1697 )
1699 # Build dataset for splits
1700 keep_in_memory = (
1701 keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
1702 )

File /opt/conda/lib/python3.10/site-packages/datasets/builder.py:605, in DatasetBuilder.download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, **download_and_prepare_kwargs)
603 logger.warning("HF google storage unreachable. Downloading and preparing it from source")
604 if not downloaded_from_gcs:
--> 605 self._download_and_prepare(
606 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
607 )
608 # Sync info
609 self.info.dataset_size = sum(split.num_bytes for split in self.info.splits.values())

File /opt/conda/lib/python3.10/site-packages/datasets/builder.py:694, in DatasetBuilder._download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
690 split_dict.add(split_generator.split_info)
692 try:
693 # Prepare split will record examples associated to the split
--> 694 self._prepare_split(split_generator, **prepare_split_kwargs)
695 except OSError as e:
696 raise OSError(
697 "Cannot find data file. "
698 + (self.manual_download_instructions or "")
699 + "\nOriginal error:\n"
700 + str(e)
701 ) from None

File /opt/conda/lib/python3.10/site-packages/datasets/builder.py:1151, in ArrowBasedBuilder._prepare_split(self, split_generator)
1149 generator = self._generate_tables(**split_generator.gen_kwargs)
1150 with ArrowWriter(features=self.info.features, path=fpath) as writer:
-> 1151 for key, table in logging.tqdm(
1152 generator, unit=" tables", leave=False, disable=True # not logging.is_progress_bar_enabled()
1153 ):
1154 writer.write_table(table)
1155 num_examples, num_bytes = writer.finalize()

File /opt/conda/lib/python3.10/site-packages/tqdm/notebook.py:249, in tqdm_notebook.iter(self)
247 try:
248 it = super(tqdm_notebook, self).iter()
--> 249 for obj in it:
250 # return super(tqdm...) will not catch exception
251 yield obj
252 # NB: except ... [ as ...] breaks IPython async KeyboardInterrupt

File /opt/conda/lib/python3.10/site-packages/tqdm/std.py:1170, in tqdm.iter(self)
1167 # If the bar is disabled, then just walk the iterable
1168 # (note: keep this check outside the loop for performance)
1169 if self.disable:
-> 1170 for obj in iterable:
1171 yield obj
1172 return

File /opt/conda/lib/python3.10/site-packages/datasets/packaged_modules/csv/csv.py:154, in Csv._generate_tables(self, files)
152 dtype = {name: dtype.to_pandas_dtype() for name, dtype in zip(schema.names, schema.types)} if schema else None
153 for file_idx, file in enumerate(files):
--> 154 csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.read_csv_kwargs)
155 try:
156 for batch_idx, df in enumerate(csv_file_reader):

TypeError: read_csv() got an unexpected keyword argument 'mangle_dupe_cols'
"""