Datasets:

---

philipphager

/

baidu-ultr-user-annotator-agreement

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
query_id: string
baidu_query_id: string
url_md5: string
query: string
query_reformulation: string
title: string
abstract: string
position: int64
media_type: int64
serp_height: double
serp_to_top: double
click: int64
first_click: int64
last_click: int64
final_click: int64
skip: int64
slipoff: int64
slipoff_after_click: int64
displayed_count: int64
displayed_count_top: int64
displayed_count_middle: int64
displayed_count_bottom: int64
reverse_displayed_count: int64
displayed_time: double
displayed_time_top: double
displayed_time_middle: double
displayed_time_bottom: double
dwelling_time: double
__index_level_0__: int64
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 3816
to
{'query_no': Value(dtype='int64', id=None), 'query_id': Value(dtype='int64', id=None), 'query': Value(dtype='string', id=None), 'title': Value(dtype='string', id=None), 'abstract': Value(dtype='string', id=None), 'label': Value(dtype='int64', id=None), 'frequency_bucket': Value(dtype='int64', id=None)}
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 1387, 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 592, in fill_builder_info
                  num_examples_and_sizes: list[tuple[int, int]] = thread_map(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
                  return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
                  return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1169, in __iter__
                  for obj in iterable:
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 609, in result_iterator
                  yield fs.pop().result()
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 446, in result
                  return self.__get_result()
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
                  raise self._exception
                File "/usr/local/lib/python3.9/concurrent/futures/thread.py", line 58, in run
                  result = self.fn(*self.args, **self.kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 464, in retry_validate_get_num_examples_and_size
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 530, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 366132308 which exceeds the limit of 300000000
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1855, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 687, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/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 "/src/services/worker/.venv/lib/python3.9/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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              query_id: string
              baidu_query_id: string
              url_md5: string
              query: string
              query_reformulation: string
              title: string
              abstract: string
              position: int64
              media_type: int64
              serp_height: double
              serp_to_top: double
              click: int64
              first_click: int64
              last_click: int64
              final_click: int64
              skip: int64
              slipoff: int64
              slipoff_after_click: int64
              displayed_count: int64
              displayed_count_top: int64
              displayed_count_middle: int64
              displayed_count_bottom: int64
              reverse_displayed_count: int64
              displayed_time: double
              displayed_time_top: double
              displayed_time_middle: double
              displayed_time_bottom: double
              dwelling_time: double
              __index_level_0__: int64
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 3816
              to
              {'query_no': Value(dtype='int64', id=None), 'query_id': Value(dtype='int64', id=None), 'query': Value(dtype='string', id=None), 'title': Value(dtype='string', id=None), 'abstract': Value(dtype='string', id=None), 'label': Value(dtype='int64', id=None), 'frequency_bucket': Value(dtype='int64', id=None)}
              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 1410, 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 989, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1898, 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