Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError Exception: ArrowInvalid Message: Schema at index 1 was different: env_info: struct<env_id: string, env_kwargs: struct<obs_mode: string, control_mode: string, render_mode: string, reward_mode: string, sensor_configs: struct<shader_pack: string>, human_render_camera_configs: struct<shader_pack: string>, viewer_camera_configs: struct<shader_pack: string>, sim_backend: string>, max_episode_steps: int64> commit_info: struct<commit_id: string, branch: string> episodes: list<item: struct<episode_id: int64, episode_seed: int64, control_mode: struct<panda-0: string, panda-1: string, panda-2: string>, elapsed_steps: int64, reset_kwargs: struct<options: struct<>, seed: int64>, success: bool>> source_type: string source_desc: string vs env_info: struct<env_id: string, env_kwargs: struct<obs_mode: string, control_mode: string, render_mode: string, reward_mode: string, sensor_configs: struct<shader_pack: string>, human_render_camera_configs: struct<shader_pack: string>, viewer_camera_configs: struct<shader_pack: string>, sim_backend: string>, max_episode_steps: int64> commit_info: struct<commit_id: string, branch: string> episodes: list<item: struct<episode_id: int64, episode_seed: int64, control_mode: struct<panda-0: string, panda-1: string>, elapsed_steps: int64, reset_kwargs: struct<options: struct<>, seed: int64>, success: bool>> source_type: string source_desc: string Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3335, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2096, in _head return next(iter(self.iter(batch_size=n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2296, in iter for key, example in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__ for key, pa_table in self._iter_arrow(): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow yield from self.ex_iterable._iter_arrow() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 504, in _iter_arrow yield new_key, pa.Table.from_batches(chunks_buffer) File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: Schema at index 1 was different: env_info: struct<env_id: string, env_kwargs: struct<obs_mode: string, control_mode: string, render_mode: string, reward_mode: string, sensor_configs: struct<shader_pack: string>, human_render_camera_configs: struct<shader_pack: string>, viewer_camera_configs: struct<shader_pack: string>, sim_backend: string>, max_episode_steps: int64> commit_info: struct<commit_id: string, branch: string> episodes: list<item: struct<episode_id: int64, episode_seed: int64, control_mode: struct<panda-0: string, panda-1: string, panda-2: string>, elapsed_steps: int64, reset_kwargs: struct<options: struct<>, seed: int64>, success: bool>> source_type: string source_desc: string vs env_info: struct<env_id: string, env_kwargs: struct<obs_mode: string, control_mode: string, render_mode: string, reward_mode: string, sensor_configs: struct<shader_pack: string>, human_render_camera_configs: struct<shader_pack: string>, viewer_camera_configs: struct<shader_pack: string>, sim_backend: string>, max_episode_steps: int64> commit_info: struct<commit_id: string, branch: string> episodes: list<item: struct<episode_id: int64, episode_seed: int64, control_mode: struct<panda-0: string, panda-1: string>, elapsed_steps: int64, reset_kwargs: struct<options: struct<>, seed: int64>, success: bool>> source_type: string source_desc: string
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
README.md exists but content is empty.
- Downloads last month
- 25