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yyyang
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gameworld-qwen38-flash-next-trajectory

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Tags:

gameworld

agent-trajectories

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Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
agent_id: int64
interaction_id: int64
prompt: string
request_messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
memory_context: string
memory_screenshot_steps: list<item: int64>
  child 0, item: int64
model_response_text: string
model_reasoning_text: string
model_tool_calls: null
parsed_action: struct<action: string, key: string>
  child 0, action: string
  child 1, key: string
action_valid: bool
action_validity_reason: string
executed_action: struct<action: string, key: string>
  child 0, action: string
  child 1, key: string
game_state: struct<schemaVersion: string, gameId: string, seed: int64, gameTimeMs: double, status: string, is_ac (... 472 chars omitted)
  child 0, schemaVersion: string
  child 1, gameId: string
  child 2, seed: int64
  child 3, gameTimeMs: double
  child 4, status: string
  child 5, is_actionable: bool
  child 6, terminal: struct<isTerminal: bool, outcome: null, reason: null>
      child 0, isTerminal: bool
      child 1, outcome: null
      child 2, reason: null
  child 7, game_state: struct<score: int64, level: int64, player: null, environment: list<item: list<item: int64>>, complet (... 114 chars omitted)
      child 0, score: int64
      child 1, level: int64
      child 2, player: null
      child 3, environment: list<item: list<item: int64>>
          child 0, item: list<item: int64>
              child 0, item: int64
      
...
ore: double
  child 7, target_reached: bool
  child 8, game_state.score: int64
  child 9, game_state.level: int64
  child 10, terminal.outcome: null
  child 11, terminal.isTerminal: bool
screenshot: string
interaction_count: int64
final_metrics: struct<objective_target_bests: struct<metrics.max_tile: double>, objective_target_run_bests: struct< (... 405 chars omitted)
  child 0, objective_target_bests: struct<metrics.max_tile: double>
      child 0, metrics.max_tile: double
  child 1, objective_target_run_bests: struct<metrics.max_tile: double>
      child 0, metrics.max_tile: double
  child 2, objective_target_results: list<item: struct<field: string, start: double, target: double, actual: int64, best: double, run_bes (... 40 chars omitted)
      child 0, item: struct<field: string, start: double, target: double, actual: int64, best: double, run_best: double,  (... 28 chars omitted)
          child 0, field: string
          child 1, start: double
          child 2, target: double
          child 3, actual: int64
          child 4, best: double
          child 5, run_best: double
          child 6, progress: double
          child 7, met: bool
  child 3, objective_targets_met: bool
  child 4, progress_current: double
  child 5, progress: double
  child 6, score: double
  child 7, target_reached: bool
  child 8, game_state.score: int64
  child 9, game_state.level: int64
  child 10, terminal.outcome: null
  child 11, terminal.isTerminal: bool
agent_count: int64
outcome: string
to
{'agent_count': Value('int64'), 'interaction_count': Value('int64'), 'outcome': Value('string'), 'final_metrics': {'objective_target_bests': {'metrics.max_tile': Value('float64')}, 'objective_target_run_bests': {'metrics.max_tile': Value('float64')}, 'objective_target_results': List({'field': Value('string'), 'start': Value('float64'), 'target': Value('float64'), 'actual': Value('int64'), 'best': Value('float64'), 'run_best': Value('float64'), 'progress': Value('float64'), 'met': Value('bool')}), 'objective_targets_met': Value('bool'), 'progress_current': Value('float64'), 'progress': Value('float64'), 'score': Value('float64'), 'target_reached': Value('bool'), 'game_state.score': Value('int64'), 'game_state.level': Value('int64'), 'terminal.outcome': Value('null'), 'terminal.isTerminal': Value('bool')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              agent_id: int64
              interaction_id: int64
              prompt: string
              request_messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              memory_context: string
              memory_screenshot_steps: list<item: int64>
                child 0, item: int64
              model_response_text: string
              model_reasoning_text: string
              model_tool_calls: null
              parsed_action: struct<action: string, key: string>
                child 0, action: string
                child 1, key: string
              action_valid: bool
              action_validity_reason: string
              executed_action: struct<action: string, key: string>
                child 0, action: string
                child 1, key: string
              game_state: struct<schemaVersion: string, gameId: string, seed: int64, gameTimeMs: double, status: string, is_ac (... 472 chars omitted)
                child 0, schemaVersion: string
                child 1, gameId: string
                child 2, seed: int64
                child 3, gameTimeMs: double
                child 4, status: string
                child 5, is_actionable: bool
                child 6, terminal: struct<isTerminal: bool, outcome: null, reason: null>
                    child 0, isTerminal: bool
                    child 1, outcome: null
                    child 2, reason: null
                child 7, game_state: struct<score: int64, level: int64, player: null, environment: list<item: list<item: int64>>, complet (... 114 chars omitted)
                    child 0, score: int64
                    child 1, level: int64
                    child 2, player: null
                    child 3, environment: list<item: list<item: int64>>
                        child 0, item: list<item: int64>
                            child 0, item: int64
                    
              ...
              ore: double
                child 7, target_reached: bool
                child 8, game_state.score: int64
                child 9, game_state.level: int64
                child 10, terminal.outcome: null
                child 11, terminal.isTerminal: bool
              screenshot: string
              interaction_count: int64
              final_metrics: struct<objective_target_bests: struct<metrics.max_tile: double>, objective_target_run_bests: struct< (... 405 chars omitted)
                child 0, objective_target_bests: struct<metrics.max_tile: double>
                    child 0, metrics.max_tile: double
                child 1, objective_target_run_bests: struct<metrics.max_tile: double>
                    child 0, metrics.max_tile: double
                child 2, objective_target_results: list<item: struct<field: string, start: double, target: double, actual: int64, best: double, run_bes (... 40 chars omitted)
                    child 0, item: struct<field: string, start: double, target: double, actual: int64, best: double, run_best: double,  (... 28 chars omitted)
                        child 0, field: string
                        child 1, start: double
                        child 2, target: double
                        child 3, actual: int64
                        child 4, best: double
                        child 5, run_best: double
                        child 6, progress: double
                        child 7, met: bool
                child 3, objective_targets_met: bool
                child 4, progress_current: double
                child 5, progress: double
                child 6, score: double
                child 7, target_reached: bool
                child 8, game_state.score: int64
                child 9, game_state.level: int64
                child 10, terminal.outcome: null
                child 11, terminal.isTerminal: bool
              agent_count: int64
              outcome: string
              to
              {'agent_count': Value('int64'), 'interaction_count': Value('int64'), 'outcome': Value('string'), 'final_metrics': {'objective_target_bests': {'metrics.max_tile': Value('float64')}, 'objective_target_run_bests': {'metrics.max_tile': Value('float64')}, 'objective_target_results': List({'field': Value('string'), 'start': Value('float64'), 'target': Value('float64'), 'actual': Value('int64'), 'best': Value('float64'), 'run_best': Value('float64'), 'progress': Value('float64'), 'met': Value('bool')}), 'objective_targets_met': Value('bool'), 'progress_current': Value('float64'), 'progress': Value('float64'), 'score': Value('float64'), 'target_reached': Value('bool'), 'game_state.score': Value('int64'), 'game_state.level': Value('int64'), 'terminal.outcome': Value('null'), 'terminal.isTerminal': Value('bool')}}
              because column names don't match

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GameWorld: Qwen3.8-Flash-Next Trajectories

This dataset is organized for inspecting trajectories. It contains 1,020 completed trajectories from Qwen/Qwen3.8-Flash-Next (both General and Computer-Use (CUA) interfaces) on the GameWorld 400-step benchmark: 170 tasks, and 3 runs per task.

Leaderboard

Each model was evaluated on 170 tasks with a 400-step limit and three runs per task (510 trajectories per interface). SR is the success rate, and PG is mean task progress; CUA and General are the two agent interfaces.

Model	CUA SR	CUA PG	General SR	General PG
qwen3.5-9b	14.51%	35.09%	17.65%	39.32%
qwen3.5-27b	21.96%	41.79%	16.27%	39.59%
qwen3.5-35b-a3b	22.94%	43.82%	19.41%	39.38%
qwen3.5-122b-a10b	23.14%	45.23%	19.02%	41.87%
qwen3.6-27b	21.18%	43.60%	18.82%	43.25%
qwen3.6-35b-a3b	19.22%	40.57%	15.69%	38.84%
qwen3.8-27b	29.22%	54.64%	24.12%	49.34%
qwen3.8-flash-next (this dataset)	36.86%	61.48%	29.80%	55.86%

Files

README.md
manifest.json
general_run_1.zip
general_run_2.zip
general_run_3.zip
cua_run_1.zip
cua_run_2.zip
cua_run_3.zip
examples/
  general-doodle-jump/
    episode.json
    steps.jsonl
    steps/001.json
    steps/001.png
    ...
  cua-doodle-jump/
    episode.json
    steps.jsonl
    steps/001.json
    steps/001.png
    ...

Each ZIP contains 170 trajectories from one interface and one run. After extracting, the folders look like:

general_run_1/
  10_doodle-jump/
    10_01/
      episode.json
      steps.jsonl
      screenshots/a0_001.png
      screenshots/a0_002.png
      ...

The game_id/task_id directory identifies a trajectory. episode.json contains its agent and interaction counts, outcome, and final metrics. Each line of steps.jsonl describes one interaction and gives a screenshot path relative to that trajectory's directory.

The benchmark protocol is fine-control-2026-08 with a maximum of 400 steps per trajectory. See the GameWorld paper for the benchmark's task and evaluation design.

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Total file size:

56 GB

Paper for yyyang/gameworld-qwen38-flash-next-trajectory

GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents

Paper • 2604.07429 • Published Apr 8 • 63