Datasets:

satyamq

/

xx

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 ({'template_type'}) and 13 missing columns ({'current_steps_adjusted', 'base_model_class', 'base_model_name', 'current_steps', 'projections', 'learning_rate', 'base_loaded_in_4bit', 'epoch_adjusted', 'base_loaded_in_8bit', 'last_run_steps_offset', 'loss', 'epoch', 'last_run_epoch_offset'}).

This happened while the json dataset builder was generating data using

hf://datasets/satyamq/xx/checkpoint-679-loss-1_40/training_prompt.json (at revision c78fba1f82326b38fec98cc547103f65d8632f6a)

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 2011, 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
              template_type: string
              to
              {'base_model_name': Value(dtype='string', id=None), 'base_model_class': Value(dtype='string', id=None), 'base_loaded_in_4bit': Value(dtype='bool', id=None), 'base_loaded_in_8bit': Value(dtype='bool', id=None), 'projections': Value(dtype='string', id=None), 'last_run_steps_offset': Value(dtype='int64', id=None), 'last_run_epoch_offset': Value(dtype='float64', id=None), 'loss': Value(dtype='float64', id=None), 'learning_rate': Value(dtype='float64', id=None), 'epoch': Value(dtype='float64', id=None), 'current_steps': Value(dtype='int64', id=None), 'current_steps_adjusted': Value(dtype='int64', id=None), 'epoch_adjusted': Value(dtype='float64', 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 1577, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1191, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, 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 ({'template_type'}) and 13 missing columns ({'current_steps_adjusted', 'base_model_class', 'base_model_name', 'current_steps', 'projections', 'learning_rate', 'base_loaded_in_4bit', 'epoch_adjusted', 'base_loaded_in_8bit', 'last_run_steps_offset', 'loss', 'epoch', 'last_run_epoch_offset'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/satyamq/xx/checkpoint-679-loss-1_40/training_prompt.json (at revision c78fba1f82326b38fec98cc547103f65d8632f6a)
              
              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)