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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<role: string, content: string, loss: bool>
to
{'role': Value('string'), 'content': Value('string')}
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2315, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2121, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2161, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<role: string, content: string, loss: bool>
              to
              {'role': Value('string'), 'content': Value('string')}
              
              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 1379, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, 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

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messages
list
images
list
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nFind the hidden five-letter word in at most si...
[ "frames/claude-haiku-5.5_114_wordle_114_06_n01_a1_20261020T070351Z/000703.jpg", "frames/claude-haiku-5.5_114_wordle_114_06_n01_a1_20261020T070351Z/000722.jpg", "frames/claude-haiku-5.5_114_wordle_114_06_n01_a1_20261020T070351Z/000760.jpg", "frames/claude-haiku-5.5_114_wordle_114_06_n01_a1_20261020T070351Z/000...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nYou are playing Paddle Ball, a deterministic o...
[ "frames/claude-haiku-5.5_112_paddle-ball_112_04_n01_a1_20261020T065032Z/001053.jpg", "frames/claude-haiku-5.5_112_paddle-ball_112_04_n01_a1_20261020T065032Z/001191.jpg", "frames/claude-haiku-5.5_112_paddle-ball_112_04_n01_a1_20261020T065032Z/001322.jpg", "frames/claude-haiku-5.5_112_paddle-ball_112_04_n01_a1_...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nYou are playing \"Wormy\", an endless 2D tunne...
[ "frames/claude-haiku-5.5_130_wormy_130_04_n01_a1_20261020T080727Z/002494.jpg", "frames/claude-haiku-5.5_130_wormy_130_04_n01_a1_20261020T080727Z/002555.jpg", "frames/claude-haiku-5.5_130_wormy_130_04_n01_a1_20261020T080727Z/002602.jpg", "frames/claude-haiku-5.5_130_wormy_130_04_n01_a1_20261020T080727Z/002678....
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nYou are playing Pipe Connect, a deterministic ...
[ "frames/claude-haiku-5.5_113_pipe-connect_113_05_n01_a1_20261020T065823Z/005818.jpg", "frames/claude-haiku-5.5_113_pipe-connect_113_05_n01_a1_20261020T065823Z/005871.jpg", "frames/claude-haiku-5.5_113_pipe-connect_113_05_n01_a1_20261020T065823Z/005940.jpg", "frames/claude-haiku-5.5_113_pipe-connect_113_05_n01...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nYou are playing Sokoban, a warehouse box-pushi...
[ "frames/claude-haiku-5.5_101_sokoban_101_02_n01_a1_20261020T061331Z/000214.jpg", "frames/claude-haiku-5.5_101_sokoban_101_02_n01_a1_20261020T061331Z/000346.jpg", "frames/claude-haiku-5.5_101_sokoban_101_02_n01_a1_20261020T061331Z/000507.jpg", "frames/claude-haiku-5.5_101_sokoban_101_02_n01_a1_20261020T061331Z...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nYou are playing \"Wormy\", an endless 2D tunne...
[ "frames/claude-haiku-5.5_130_wormy_130_04_n01_a1_20261020T080727Z/001856.jpg", "frames/claude-haiku-5.5_130_wormy_130_04_n01_a1_20261020T080727Z/001927.jpg", "frames/claude-haiku-5.5_130_wormy_130_04_n01_a1_20261020T080727Z/002014.jpg", "frames/claude-haiku-5.5_130_wormy_130_04_n01_a1_20261020T080727Z/002125....
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nYou are playing Nonogram, a deterministic offl...
[ "frames/claude-haiku-5.5_111_nonogram_111_04_n01_a1_20261020T064122Z/010777.jpg", "frames/claude-haiku-5.5_111_nonogram_111_04_n01_a1_20261020T064122Z/010849.jpg", "frames/claude-haiku-5.5_111_nonogram_111_04_n01_a1_20261020T064122Z/010963.jpg", "frames/claude-haiku-5.5_111_nonogram_111_04_n01_a1_20261020T064...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nRogue Fable IV is a turn-based tactical roguel...
[ "frames/claude-haiku-5.5_124_rogue-fable-iv_124_05_n01_a1_20261020T072658Z/002401.jpg", "frames/claude-haiku-5.5_124_rogue-fable-iv_124_05_n01_a1_20261020T072658Z/002447.jpg", "frames/claude-haiku-5.5_124_rogue-fable-iv_124_05_n01_a1_20261020T072658Z/002504.jpg", "frames/claude-haiku-5.5_124_rogue-fable-iv_12...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nTurn the entire seeded board into one color by...
[ "frames/claude-haiku-5.5_123_flood-fill_123_03_n01_a1_20261020T072405Z/001892.jpg", "frames/claude-haiku-5.5_123_flood-fill_123_03_n01_a1_20261020T072405Z/001911.jpg", "frames/claude-haiku-5.5_123_flood-fill_123_03_n01_a1_20261020T072405Z/001932.jpg", "frames/claude-haiku-5.5_123_flood-fill_123_03_n01_a1_2026...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nThe Greedy Pirates is a typing game. You are t...
[ "frames/claude-haiku-5.5_127_the-greedy-pirates_127_03_n01_a1_20261020T074910Z/000622.jpg", "frames/claude-haiku-5.5_127_the-greedy-pirates_127_03_n01_a1_20261020T074910Z/000719.jpg", "frames/claude-haiku-5.5_127_the-greedy-pirates_127_03_n01_a1_20261020T074910Z/000823.jpg", "frames/claude-haiku-5.5_127_the-g...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nChronotron is a single-screen puzzle platforme...
[ "frames/claude-haiku-5.5_126_chronotron_126_02_n01_a1_20261020T074042Z/006527.jpg", "frames/claude-haiku-5.5_126_chronotron_126_02_n01_a1_20261020T074042Z/006707.jpg", "frames/claude-haiku-5.5_126_chronotron_126_02_n01_a1_20261020T074042Z/006889.jpg", "frames/claude-haiku-5.5_126_chronotron_126_02_n01_a1_2026...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nChronotron is a single-screen puzzle platforme...
[ "frames/claude-haiku-5.5_126_chronotron_126_03_n01_a1_20261020T074042Z/007617.jpg", "frames/claude-haiku-5.5_126_chronotron_126_03_n01_a1_20261020T074042Z/007669.jpg", "frames/claude-haiku-5.5_126_chronotron_126_03_n01_a1_20261020T074042Z/007822.jpg", "frames/claude-haiku-5.5_126_chronotron_126_03_n01_a1_2026...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nFind the hidden five-letter word in at most si...
[ "frames/claude-haiku-5.5_114_wordle_114_04_n01_a1_20261020T070237Z/001362.jpg", "frames/claude-haiku-5.5_114_wordle_114_04_n01_a1_20261020T070237Z/001386.jpg", "frames/claude-haiku-5.5_114_wordle_114_04_n01_a1_20261020T070237Z/001409.jpg", "frames/claude-haiku-5.5_114_wordle_114_04_n01_a1_20261020T070237Z/001...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nYou are playing Asteroid Dodge, a deterministi...
[ "frames/claude-haiku-5.5_108_asteroid-dodge_108_06_n01_a1_20261020T063253Z/000393.jpg", "frames/claude-haiku-5.5_108_asteroid-dodge_108_06_n01_a1_20261020T063253Z/000431.jpg", "frames/claude-haiku-5.5_108_asteroid-dodge_108_06_n01_a1_20261020T063253Z/000453.jpg", "frames/claude-haiku-5.5_108_asteroid-dodge_10...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nYou are playing Tower Stack, a deterministic o...
[ "frames/claude-haiku-5.5_115_tower-stack_115_02_n01_a1_20261020T070457Z/003016.jpg", "frames/claude-haiku-5.5_115_tower-stack_115_02_n01_a1_20261020T070457Z/003060.jpg" ]
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nYou are playing Asteroid Dodge, a deterministi...
[ "frames/claude-haiku-5.5_108_asteroid-dodge_108_03_n01_a1_20261020T063221Z/002063.jpg", "frames/claude-haiku-5.5_108_asteroid-dodge_108_03_n01_a1_20261020T063221Z/002141.jpg", "frames/claude-haiku-5.5_108_asteroid-dodge_108_03_n01_a1_20261020T063221Z/002171.jpg", "frames/claude-haiku-5.5_108_asteroid-dodge_10...
[ { "role": "system", "content": "You are an expert game agent. Use the current screenshot and any explicitly\nlabelled previous steps to choose the next action that best advances the task.\nFollow the game rules and control restrictions exactly.\n\n# Game Rules\nMove the full tower from the left peg to the r...
[ "frames/claude-haiku-5.5_120_hanoi_120_01_n01_a1_20261020T071639Z/001086.jpg", "frames/claude-haiku-5.5_120_hanoi_120_01_n01_a1_20261020T071639Z/001111.jpg", "frames/claude-haiku-5.5_120_hanoi_120_01_n01_a1_20261020T071639Z/001134.jpg", "frames/claude-haiku-5.5_120_hanoi_120_01_n01_a1_20261020T071639Z/001159....
End of preview.

Fixed unweighted SFT data

This package contains a fixed subset of 1,563,640 unweighted training examples, selected once by uniform sampling without replacement from 2,074,866 examples. Every user downloads the same selected rows. No progress, game-balance or wait weights are applied. Input messages and image references are unchanged from the full unweighted dataset. Sources remain in separate directories.

Directory under data/ Examples
claude-haiku-5.5 140,008
deepseek-v4.1-flash 11,826
gpt-6-luna 11,199
minimax-m3.1-flash 7,171
policy 1,393,436

Download and prepare

python -m pip install -U huggingface_hub
hf download xirui824/Game2Player-SFT-Unweighted --repo-type dataset --local-dir ./Game2Player-SFT-Unweighted-Fixed
cd Game2Player-SFT-Unweighted-Fixed

Then extract the image shards and training files:

for directory in data/*/; do
  for shard in "$directory"frames-*.tar; do tar -xf "$shard" -C "$directory"; done
  gzip -dk "$directory"train.jsonl.gz
done

You can copy and extract only the source directories you want. Each one includes its own images and training JSONL. Image paths are relative to the JSONL's directory.

Train

conda env create -f scripts/environment.yaml
conda activate gameworld-swift
python scripts/train.py ./data/policy --output ./output/lora --gpus 0
python scripts/train.py ./data/policy ./data/claude-haiku-5.5 ./data/deepseek-v4.1-flash ./data/gpt-6-luna ./data/minimax-m3.1-flash --output ./output/all --gpus 0,1,2,3

Pass another model or training setting after --, for example --model Qwen/Qwen3.5-9B. Use the same model, batch size and training steps as the reference experiment.

The training inputs preserve the original export's text history, up to six previous screenshots and the current screenshot. Recorded short notes and native thinking remain in their original fields. Messages with loss: false retain their loss mask. The examples are already selected, so train them directly without another weighting or resampling pass.

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