Datasets:

---

traopia

/

vogue-runway

like 2

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
key: string
designer: string
season: string
year: int64
category: string
city: null
section: string
width: int64
height: int64
size: int64
aesthetic: double
tags: list<element: string>
  child 0, element: string
url: string
filename: string
collection: string
embedding: list<element: halffloat>
  child 0, element: halffloat
__index_level_0__: int64
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 2124
to
{'key': Value('string'), 'designer': Value('string'), 'season': Value('string'), 'year': Value('int64'), 'category': Value('string'), 'city': Value('string'), 'section': Value('string'), 'width': Value('int64'), 'height': Value('int64'), 'size': Value('int64'), 'aesthetic': Value('float64'), 'tags': List(Value('string')), 'url': Value('string'), 'filename': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1404, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 596, in fill_builder_info
                  num_examples_and_sizes: list[tuple[int, int]] = thread_map(
                                                                  ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
                  return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
                  return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/std.py", line 1169, in __iter__
                  for obj in iterable:
                             ^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 619, in result_iterator
                  yield _result_or_cancel(fs.pop())
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 317, in _result_or_cancel
                  return fut.result(timeout)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 456, in result
                  return self.__get_result()
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 401, in __get_result
                  raise self._exception
                File "/usr/local/lib/python3.12/concurrent/futures/thread.py", line 59, in run
                  result = self.fn(*self.args, **self.kwargs)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 468, in retry_validate_get_num_examples_and_size
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 534, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 502715759 which exceeds the limit of 300000000
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                                  ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 691, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              key: string
              designer: string
              season: string
              year: int64
              category: string
              city: null
              section: string
              width: int64
              height: int64
              size: int64
              aesthetic: double
              tags: list<element: string>
                child 0, element: string
              url: string
              filename: string
              collection: string
              embedding: list<element: halffloat>
                child 0, element: halffloat
              __index_level_0__: int64
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 2124
              to
              {'key': Value('string'), 'designer': Value('string'), 'season': Value('string'), 'year': Value('int64'), 'category': Value('string'), 'city': Value('string'), 'section': Value('string'), 'width': Value('int64'), 'height': Value('int64'), 'size': Value('int64'), 'aesthetic': Value('float64'), 'tags': List(Value('string')), 'url': Value('string'), 'filename': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1427, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 993, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset