Datasets:

---

bhargav1000

/

Custom-Game-Finetune-Training-Data

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 5 new columns ({'instruction_format', 'tactical_advice', 'analysis', 'metadata', 'game_state'}) and 3 missing columns ({'instruction', 'output', 'input'}).

This happened while the json dataset builder was generating data using

hf://datasets/bhargav1000/Custom-Game-Finetune-Training-Data/2025-08-20 20:14:13/snapshot_0_training.json (at revision 186ad0a4fa744645e5fdc1da876e7a782bfb8f14)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              metadata: struct<session: timestamp[s], snapshot_index: int64, game_outcome: string, timestamp: double>
                child 0, session: timestamp[s]
                child 1, snapshot_index: int64
                child 2, game_outcome: string
                child 3, timestamp: double
              game_state: struct<hero: struct<t: double, actor: string, pos: string, dir: int64, hp: double, stamina: double, action: string>, knight: struct<t: double, actor: string, pos: string, dir: int64, hp: double, stamina: double, action: string>>
                child 0, hero: struct<t: double, actor: string, pos: string, dir: int64, hp: double, stamina: double, action: string>
                    child 0, t: double
                    child 1, actor: string
                    child 2, pos: string
                    child 3, dir: int64
                    child 4, hp: double
                    child 5, stamina: double
                    child 6, action: string
                child 1, knight: struct<t: double, actor: string, pos: string, dir: int64, hp: double, stamina: double, action: string>
                    child 0, t: double
                    child 1, actor: string
                    child 2, pos: string
                    child 3, dir: int64
                    child 4, hp: double
                    child 5, stamina: double
                    child 6, action: string
              analysis: struct<distance: double, distance_category: string, hero_health_category: string, knight_health_category: string, hero_stamina_category: string, knight_stamina_category: string, tactical_situation: string, health_advantage: double, hero_action_category: string, knight_action_category: string, game_phase: string>
                child 0, distance: double
                child 1, distance_category: string
                child 2, hero_health_category: string
                child 3, knight_health_category: string
                child 4, hero_stamina_category: string
                child 5, knight_stamina_category: string
                child 6, tactical_situation: string
                child 7, health_advantage: double
                child 8, hero_action_category: string
                child 9, knight_action_category: string
                child 10, game_phase: string
              tactical_advice: struct<situation_summary: string, tactical_advice: list<item: string>, risk_assessment: string, recommended_actions: list<item: string>, avoid_actions: list<item: null>, confidence: double>
                child 0, situation_summary: string
                child 1, tactical_advice: list<item: string>
                    child 0, item: string
                child 2, risk_assessment: string
                child 3, recommended_actions: list<item: string>
                    child 0, item: string
                child 4, avoid_actions: list<item: null>
                    child 0, item: null
                child 5, confidence: double
              instruction_format: struct<instruction: string, input: string, output: string>
                child 0, instruction: string
                child 1, input: string
                child 2, output: string
              to
              {'instruction': Value('string'), 'input': Value('string'), 'output': Value('string')}
              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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1833, 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 5 new columns ({'instruction_format', 'tactical_advice', 'analysis', 'metadata', 'game_state'}) and 3 missing columns ({'instruction', 'output', 'input'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/bhargav1000/Custom-Game-Finetune-Training-Data/2025-08-20 20:14:13/snapshot_0_training.json (at revision 186ad0a4fa744645e5fdc1da876e7a782bfb8f14)
              
              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)