Datasets:

maastrichtlawtech

/

bsard

like 9

Hello, I believe there is an error when trying to download the questions:

from datasets import load_dataset
datasets = load_dataset("maastrichtlawtech/bsard", "questions")

Generates the following error:

{
    "name": "DatasetGenerationError",
    "message": "An error occurred while generating the dataset",
    "stack": "---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
File ~/.virtualenvs/mistral-ft/lib/python3.11/site-packages/datasets/builder.py:1932, in ArrowBasedBuilder._prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)
   1925     writer = writer_class(
   1926         features=writer._features,
   1927         path=fpath.replace(\"SSSSS\", f\"{shard_id:05d}\").replace(\"JJJJJ\", f\"{job_id:05d}\"),
   (...)
   1930         embed_local_files=embed_local_files,
   1931     )
-> 1932 writer.write_table(table)
   1933 num_examples_progress_update += len(table)

File ~/.virtualenvs/mistral-ft/lib/python3.11/site-packages/datasets/arrow_writer.py:573, in ArrowWriter.write_table(self, pa_table, writer_batch_size)
    572 pa_table = pa_table.combine_chunks()
--> 573 pa_table = table_cast(pa_table, self._schema)
    574 if self.embed_local_files:

File ~/.virtualenvs/mistral-ft/lib/python3.11/site-packages/datasets/table.py:2332, in table_cast(table, schema)
   2331 if table.schema != schema:
-> 2332     return cast_table_to_schema(table, schema)
   2333 elif table.schema.metadata != schema.metadata:

File ~/.virtualenvs/mistral-ft/lib/python3.11/site-packages/datasets/table.py:2290, in cast_table_to_schema(table, schema)
   2289 if sorted(table.column_names) != sorted(features):
-> 2290     raise ValueError(f\"Couldn't cast\
{table.schema}\
to\
{features}\
because column names don't match\")
   2291 arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]

ValueError: Couldn't cast
id: int64
question: string
article_ids: int64
-- schema metadata --
pandas: '{\"index_columns\": [{\"kind\": \"range\", \"name\": null, \"start\": 0, \"' + 599
to
{'id': Value(dtype='int64', id=None), 'category': Value(dtype='string', id=None), 'subcategory': Value(dtype='string', id=None), 'question': Value(dtype='string', id=None), 'extra_description': Value(dtype='string', id=None), 'article_ids': Value(dtype='string', id=None)}
because column names don't match

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

DatasetGenerationError                    Traceback (most recent call last)
Cell In[4], line 3
      1 from datasets import load_dataset
----> 3 datasets = load_dataset(\"maastrichtlawtech/bsard\", \"questions\")

File ~/.virtualenvs/mistral-ft/lib/python3.11/site-packages/datasets/load.py:2152, 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, **config_kwargs)
   2149 try_from_hf_gcs = path not in _PACKAGED_DATASETS_MODULES
   2151 # Download and prepare data
-> 2152 builder_instance.download_and_prepare(
   2153     download_config=download_config,
   2154     download_mode=download_mode,
   2155     verification_mode=verification_mode,
   2156     try_from_hf_gcs=try_from_hf_gcs,
   2157     num_proc=num_proc,
   2158     storage_options=storage_options,
   2159 )
   2161 # Build dataset for splits
   2162 keep_in_memory = (
   2163     keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
   2164 )

File ~/.virtualenvs/mistral-ft/lib/python3.11/site-packages/datasets/builder.py:948, 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)
    946     if num_proc is not None:
    947         prepare_split_kwargs[\"num_proc\"] = num_proc
--> 948     self._download_and_prepare(
    949         dl_manager=dl_manager,
    950         verification_mode=verification_mode,
    951         **prepare_split_kwargs,
    952         **download_and_prepare_kwargs,
    953     )
    954 # Sync info
    955 self.info.dataset_size = sum(split.num_bytes for split in self.info.splits.values())

File ~/.virtualenvs/mistral-ft/lib/python3.11/site-packages/datasets/builder.py:1043, in DatasetBuilder._download_and_prepare(self, dl_manager, verification_mode, **prepare_split_kwargs)
   1039 split_dict.add(split_generator.split_info)
   1041 try:
   1042     # Prepare split will record examples associated to the split
-> 1043     self._prepare_split(split_generator, **prepare_split_kwargs)
   1044 except OSError as e:
   1045     raise OSError(
   1046         \"Cannot find data file. \"
   1047         + (self.manual_download_instructions or \"\")
   1048         + \"\
Original error:\
\"
   1049         + str(e)
   1050     ) from None

File ~/.virtualenvs/mistral-ft/lib/python3.11/site-packages/datasets/builder.py:1805, in ArrowBasedBuilder._prepare_split(self, split_generator, file_format, num_proc, max_shard_size)
   1803 job_id = 0
   1804 with pbar:
-> 1805     for job_id, done, content in self._prepare_split_single(
   1806         gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
   1807     ):
   1808         if done:
   1809             result = content

File ~/.virtualenvs/mistral-ft/lib/python3.11/site-packages/datasets/builder.py:1950, in ArrowBasedBuilder._prepare_split_single(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)
   1948     if isinstance(e, SchemaInferenceError) and e.__context__ is not None:
   1949         e = e.__context__
-> 1950     raise DatasetGenerationError(\"An error occurred while generating the dataset\") from e
   1952 yield job_id, True, (total_num_examples, total_num_bytes, writer._features, num_shards, shard_lengths)

DatasetGenerationError: An error occurred while generating the dataset"
}