PanoVLN: Towards Effective Panoramic Vision-and-Language Navigation
Paper • 2609.34759 • Published • 134
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
instruction: string
action_sequence: list<item: string>
child 0, item: string
images: list<item: string>
child 0, item: string
episode_id: string
dataset: string
step_index: int64
end_step: int64
real_action_count: int64
history_actions: list<item: string>
child 0, item: string
instruction_vocab: null
episodes: list<item: struct<episode_id: int64, trajectory_id: string, scene_id: string, start_position: list<i (... 285 chars omitted)
child 0, item: struct<episode_id: int64, trajectory_id: string, scene_id: string, start_position: list<item: double (... 273 chars omitted)
child 0, episode_id: int64
child 1, trajectory_id: string
child 2, scene_id: string
child 3, start_position: list<item: double>
child 0, item: double
child 4, start_rotation: list<item: double>
child 0, item: double
child 5, info: struct<geodesic_distance: double>
child 0, geodesic_distance: double
child 6, goals: list<item: struct<position: list<item: double>, radius: double>>
child 0, item: struct<position: list<item: double>, radius: double>
child 0, position: list<item: double>
child 0, item: double
child 1, radius: double
child 7, instruction: struct<instruction_text: string, instruction_tokens: null>
child 0, instruction_text: string
child 1, instruction_tokens: null
child 8, reference_path: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
to
{'episodes': List({'episode_id': Value('int64'), 'trajectory_id': Value('string'), 'scene_id': Value('string'), 'start_position': List(Value('float64')), 'start_rotation': List(Value('float64')), 'info': {'geodesic_distance': Value('float64')}, 'goals': List({'position': List(Value('float64')), 'radius': Value('float64')}), 'instruction': {'instruction_text': Value('string'), 'instruction_tokens': Value('null')}, 'reference_path': List(List(Value('float64')))}), 'instruction_vocab': {'word_list': List(Value('null')), 'word2idx_dict': Json(decode=True), 'stoi': Json(decode=True), 'itos': List(Value('null')), 'num_vocab': Value('int64'), 'UNK_INDEX': Value('int64'), 'PAD_INDEX': Value('int64')}}
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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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
instruction: string
action_sequence: list<item: string>
child 0, item: string
images: list<item: string>
child 0, item: string
episode_id: string
dataset: string
step_index: int64
end_step: int64
real_action_count: int64
history_actions: list<item: string>
child 0, item: string
instruction_vocab: null
episodes: list<item: struct<episode_id: int64, trajectory_id: string, scene_id: string, start_position: list<i (... 285 chars omitted)
child 0, item: struct<episode_id: int64, trajectory_id: string, scene_id: string, start_position: list<item: double (... 273 chars omitted)
child 0, episode_id: int64
child 1, trajectory_id: string
child 2, scene_id: string
child 3, start_position: list<item: double>
child 0, item: double
child 4, start_rotation: list<item: double>
child 0, item: double
child 5, info: struct<geodesic_distance: double>
child 0, geodesic_distance: double
child 6, goals: list<item: struct<position: list<item: double>, radius: double>>
child 0, item: struct<position: list<item: double>, radius: double>
child 0, position: list<item: double>
child 0, item: double
child 1, radius: double
child 7, instruction: struct<instruction_text: string, instruction_tokens: null>
child 0, instruction_text: string
child 1, instruction_tokens: null
child 8, reference_path: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
to
{'episodes': List({'episode_id': Value('int64'), 'trajectory_id': Value('string'), 'scene_id': Value('string'), 'start_position': List(Value('float64')), 'start_rotation': List(Value('float64')), 'info': {'geodesic_distance': Value('float64')}, 'goals': List({'position': List(Value('float64')), 'radius': Value('float64')}), 'instruction': {'instruction_text': Value('string'), 'instruction_tokens': Value('null')}, 'reference_path': List(List(Value('float64')))}), 'instruction_vocab': {'word_list': List(Value('null')), 'word2idx_dict': Json(decode=True), 'stoi': Json(decode=True), 'itos': List(Value('null')), 'num_vocab': Value('int64'), 'UNK_INDEX': Value('int64'), 'PAD_INDEX': Value('int64')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
PanoVLN: Towards Effective Panoramic Vision-and-Language Navigation
This dataset accompanies the paper PanoVLN: Towards Effective Panoramic Vision-and-Language Navigation, which explores vision-and-language navigation (VLN) with panoramic 360° RGB observations. The dataset provides navigation episodes, action-aligned annotations, panoramic image frames, and JSONL training mixtures for training and evaluating panoramic VLN policies.
Paper: https://arxiv.org/abs/2609.34759 Project page: https://wangzhen-w.github.io/PanoVLN/ Code: https://github.com/wangzhen-w/PanoVLN
The dataset includes training annotations for R2R-CE, RxR-CE, and additionally constructed PanoVLN trajectories, along with corresponding panoramic observations. See the GitHub repository for detailed data preparation steps, including scene assets, preprocessing, and frame extraction.
Sample Usage
Download the dataset from the Hugging Face Hub using the CLI:
hf download wangzhen-w/PanoVLN --repo-type dataset --local-dir data
After downloading, follow the data preparation steps in the GitHub README to preprocess annotations and render the required panoramic images from the source scene assets.
License
This dataset is released under the Matterport Academic Use License. Source scenes (Matterport3D, HM3D) must be obtained separately under their respective access and license terms.
- Downloads last month
- 54