Datasets:

---

chaley22

/

img_txt_mi_results_fixed

like 0

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 1 new columns ({'gemma-2b_surprisal'}) and 1 missing columns ({'ft-pali_surprisal'}).

This happened while the csv dataset builder was generating data using

hf://datasets/chaley22/img_txt_mi_results_fixed/multi30k_train/gemma-2b/results_ar.csv (at revision 043794df9d425807d9c672337692640a0a586914)

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 2013, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 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
              token: string
              sentence: int64
              image_id: string
              caption: string
              start_char: int64
              gemma-2b_surprisal: double
              date: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1078
              to
              {'token': Value(dtype='string', id=None), 'sentence': Value(dtype='int64', id=None), 'image_id': Value(dtype='string', id=None), 'caption': Value(dtype='string', id=None), 'start_char': Value(dtype='int64', id=None), 'ft-pali_surprisal': Value(dtype='float64', id=None), 'date': Value(dtype='string', 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 1391, 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 2015, 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 1 new columns ({'gemma-2b_surprisal'}) and 1 missing columns ({'ft-pali_surprisal'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/chaley22/img_txt_mi_results_fixed/multi30k_train/gemma-2b/results_ar.csv (at revision 043794df9d425807d9c672337692640a0a586914)
              
              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)