Datasets:

---

qiuk6

/

ImageNet2012_condition

like 3

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
filename: string
json_data: list<element: struct<area: int64, bbox: list<element: double>, centerness: double, crop_box: list<element: int64>, point_coords: list<element: list<element: double>>, predicted_iou: double, segmentation: struct<counts: string, size: list<element: int64>>, stability_score: double>>
  child 0, element: struct<area: int64, bbox: list<element: double>, centerness: double, crop_box: list<element: int64>, point_coords: list<element: list<element: double>>, predicted_iou: double, segmentation: struct<counts: string, size: list<element: int64>>, stability_score: double>
      child 0, area: int64
      child 1, bbox: list<element: double>
          child 0, element: double
      child 2, centerness: double
      child 3, crop_box: list<element: int64>
          child 0, element: int64
      child 4, point_coords: list<element: list<element: double>>
          child 0, element: list<element: double>
              child 0, element: double
      child 5, predicted_iou: double
      child 6, segmentation: struct<counts: string, size: list<element: int64>>
          child 0, counts: string
          child 1, size: list<element: int64>
              child 0, element: int64
      child 7, stability_score: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 502
to
{'filename': Value(dtype='string', id=None), 'image_data': Value(dtype='binary', 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 1362, 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 574, in fill_builder_info
                  ) = retry_validate_get_features_num_examples_size_and_compression_ratio(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 493, in retry_validate_get_features_num_examples_size_and_compression_ratio
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 531, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 743777168 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 1997, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 688, 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 93, 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 71, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              filename: string
              json_data: list<element: struct<area: int64, bbox: list<element: double>, centerness: double, crop_box: list<element: int64>, point_coords: list<element: list<element: double>>, predicted_iou: double, segmentation: struct<counts: string, size: list<element: int64>>, stability_score: double>>
                child 0, element: struct<area: int64, bbox: list<element: double>, centerness: double, crop_box: list<element: int64>, point_coords: list<element: list<element: double>>, predicted_iou: double, segmentation: struct<counts: string, size: list<element: int64>>, stability_score: double>
                    child 0, area: int64
                    child 1, bbox: list<element: double>
                        child 0, element: double
                    child 2, centerness: double
                    child 3, crop_box: list<element: int64>
                        child 0, element: int64
                    child 4, point_coords: list<element: list<element: double>>
                        child 0, element: list<element: double>
                            child 0, element: double
                    child 5, predicted_iou: double
                    child 6, segmentation: struct<counts: string, size: list<element: int64>>
                        child 0, counts: string
                        child 1, size: list<element: int64>
                            child 0, element: int64
                    child 7, stability_score: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 502
              to
              {'filename': Value(dtype='string', id=None), 'image_data': Value(dtype='binary', 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 1375, 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 990, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1884, 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 2040, 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