Datasets:

---

Weizm

/

AffordSplat

like 1

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'display', 'dishwasher'}) and 4 missing columns ({'keyboard', 'clock', 'trashcan', 'faucet'}).

This happened while the json dataset builder was generating data using

hf://datasets/Weizm/AffordSplat/UnSeen_test.json (at revision 6bc6c766b079d0d779fa43cb8fcfd9a882e08422)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, in write_table
                  pa_table = table_cast(pa_table, self._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
              bed: list<item: string>
                child 0, item: string
              dishwasher: list<item: string>
                child 0, item: string
              knife: list<item: string>
                child 0, item: string
              bottle: list<item: string>
                child 0, item: string
              chair: list<item: string>
                child 0, item: string
              bag: list<item: string>
                child 0, item: string
              laptop: list<item: string>
                child 0, item: string
              table: list<item: string>
                child 0, item: string
              earphone: list<item: string>
                child 0, item: string
              storagefurniture: list<item: string>
                child 0, item: string
              hat: list<item: string>
                child 0, item: string
              microwave: list<item: string>
                child 0, item: string
              mug: list<item: string>
                child 0, item: string
              bowl: list<item: string>
                child 0, item: string
              vase: list<item: string>
                child 0, item: string
              door: list<item: string>
                child 0, item: string
              display: list<item: string>
                child 0, item: string
              to
              {'trashcan': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'clock': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'keyboard': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'bed': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'knife': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'bottle': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'chair': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'bag': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'laptop': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'table': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'faucet': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'earphone': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'storagefurniture': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'hat': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'microwave': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'mug': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'bowl': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'vase': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'door': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1433, 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 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'display', 'dishwasher'}) and 4 missing columns ({'keyboard', 'clock', 'trashcan', 'faucet'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Weizm/AffordSplat/UnSeen_test.json (at revision 6bc6c766b079d0d779fa43cb8fcfd9a882e08422)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)