Datasets:

mad-bot
/

mind-games-demos

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
format: string
episodes: list<item: struct<n_steps: int64, total_reward: double, video_bytes: int64>>
  child 0, item: struct<n_steps: int64, total_reward: double, video_bytes: int64>
      child 0, n_steps: int64
      child 1, total_reward: double
      child 2, video_bytes: int64
n_steps: int64
frame_width: int64
timestamps_ms: list<item: double>
  child 0, item: double
actions: list<item: list<item: int64>>
  child 0, item: list<item: int64>
      child 0, item: int64
fps: int64
total_reward: double
rewards: list<item: double>
  child 0, item: double
crf: int64
frame_height: int64
to
{'n_steps': Value('int64'), 'frame_height': Value('int64'), 'frame_width': Value('int64'), 'fps': Value('int64'), 'crf': Value('int64'), 'actions': List(List(Value('int64'))), 'rewards': List(Value('float64')), 'timestamps_ms': List(Value('float64')), 'total_reward': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2674, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2208, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2232, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 483, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              format: string
              episodes: list<item: struct<n_steps: int64, total_reward: double, video_bytes: int64>>
                child 0, item: struct<n_steps: int64, total_reward: double, video_bytes: int64>
                    child 0, n_steps: int64
                    child 1, total_reward: double
                    child 2, video_bytes: int64
              n_steps: int64
              frame_width: int64
              timestamps_ms: list<item: double>
                child 0, item: double
              actions: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              fps: int64
              total_reward: double
              rewards: list<item: double>
                child 0, item: double
              crf: int64
              frame_height: int64
              to
              {'n_steps': Value('int64'), 'frame_height': Value('int64'), 'frame_width': Value('int64'), 'fps': Value('int64'), 'crf': Value('int64'), 'actions': List(List(Value('int64'))), 'rewards': List(Value('float64')), 'timestamps_ms': List(Value('float64')), 'total_reward': Value('float64')}
              because column names don't match

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Mind Games — Demos

Gameplay demonstrations for the mind-games project.

Lunar Lander

200 episodes of LunarLander-v3 (Gymnasium) collected with a heuristic PD-controller expert.

Format: H.264 video (84×84) + NumPy observation arrays + JSON metadata per episode
Size: ~35MB
Mean reward: ~170 (expert heuristic averages ~163)
Structure: lunar_lander/episode_NNNN/ with frames.mp4, observations.npy, metadata.json
Index: lunar_lander/index.json with per-episode reward and step count

Downloads last month: 894

Total file size:

1.56 GB