Datasets:
The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
Task instruction: string
Subtask list: list<item: string>
child 0, item: string
Robot: string
Scene: string
Object: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
Start: struct<robot_1: string>
child 0, robot_1: string
Role: int64
Floor: int64
robot_1: struct<Task instruction: string, Subtask list: list<item: string>, Robot: string, Object: list<item: (... 56 chars omitted)
child 0, Task instruction: string
child 1, Subtask list: list<item: string>
child 0, item: string
child 2, Robot: string
child 3, Object: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
child 4, Start: string
child 5, Task stage: string
G_Rate: double
Type: string
robot_2: struct<Task instruction: string, Subtask list: list<item: string>, Robot: string, Object: list<item: (... 56 chars omitted)
child 0, Task instruction: string
child 1, Subtask list: list<item: string>
child 0, item: string
child 2, Robot: string
child 3, Object: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
child 4, Start: string
child 5, Task stage: string
R1_Rate: double
to
{'robot_2': {'Task instruction': Value('string'), 'Subtask list': List(Value('string')), 'Robot': Value('string'), 'Object': List(List(Value('string'))), 'Start': Value('string'), 'Task stage': Value('string')}, 'robot_1': {'Task instruction': Value('string'), 'Subtask list': List(Value('string')), 'Robot': Value('string'), 'Object': List(List(Value('string'))), 'Start': Value('string'), 'Task stage': Value('string')}, 'Scene': Value('string'), 'Floor': Value('int64'), 'Type': Value('string'), 'G_Rate': Value('float64'), 'R1_Rate': Value('float64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
Task instruction: string
Subtask list: list<item: string>
child 0, item: string
Robot: string
Scene: string
Object: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
Start: struct<robot_1: string>
child 0, robot_1: string
Role: int64
Floor: int64
robot_1: struct<Task instruction: string, Subtask list: list<item: string>, Robot: string, Object: list<item: (... 56 chars omitted)
child 0, Task instruction: string
child 1, Subtask list: list<item: string>
child 0, item: string
child 2, Robot: string
child 3, Object: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
child 4, Start: string
child 5, Task stage: string
G_Rate: double
Type: string
robot_2: struct<Task instruction: string, Subtask list: list<item: string>, Robot: string, Object: list<item: (... 56 chars omitted)
child 0, Task instruction: string
child 1, Subtask list: list<item: string>
child 0, item: string
child 2, Robot: string
child 3, Object: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
child 4, Start: string
child 5, Task stage: string
R1_Rate: double
to
{'robot_2': {'Task instruction': Value('string'), 'Subtask list': List(Value('string')), 'Robot': Value('string'), 'Object': List(List(Value('string'))), 'Start': Value('string'), 'Task stage': Value('string')}, 'robot_1': {'Task instruction': Value('string'), 'Subtask list': List(Value('string')), 'Robot': Value('string'), 'Object': List(List(Value('string'))), 'Start': Value('string'), 'Task stage': Value('string')}, 'Scene': Value('string'), 'Floor': Value('int64'), 'Type': Value('string'), 'G_Rate': Value('float64'), 'R1_Rate': Value('float64')}
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.
DeCoNav Dataset
This repository contains the complete compact DeCoNav task release, split into 1,113 training tasks and 100 fixed evaluation tasks. It includes the task annotations and compact evaluator trajectories required by the DeCoNav data and evaluation pipeline. RGB/depth frame dumps, simulator scenes, debug logs, and machine-specific files are intentionally excluded.
Splits
| Split | Tasks | Purpose |
|---|---|---|
train/ |
1,113 | DeCoNav training-task pool after excluding the fixed test tasks. |
test/ |
100 | Fixed task order used by the released DeCoNav evaluation. |
Each task directory contains:
single_config.json
collab_json/collab_config_00.json
success/trial_*/collab_00/task.json
The test directory names are identical to the original 100-task release. Some
training instructions occur in multiple scenes or source batches. Those
collisions receive a deterministic .__batch_XX suffix so that no task is
overwritten. splits.json records the original task name, source batches,
selected successful trial, file sizes, and SHA-256 hashes.
Download
hf download Sunyao/deconav --repo-type dataset --local-dir assets/datasets/deconav
Use assets/datasets/deconav/test as the evaluator dataset directory. The
DeCoNav source release may pin an older immutable dataset revision for exact
paper-result reproduction; that revision remains available in repository
history.
Data Scope
- Simulator: Habitat-Sim
- Scene identifiers: HM3D v0.2
- Scene files: not included
- Released modalities: JSON task annotations and compact trajectories
- Trial policy: preserve the original released trial for test tasks; use the lexicographically latest successful trial for training tasks when multiple successful trials exist
Evaluator-only positions, geodesic distances, and reference paths stored in the compact trajectory are used only for initialization and metric calculation. They are not policy inputs in the released DeCoNav evaluator.
Integrity
DATA_SHA256SUMS contains hashes for every task file. splits.json contains
the same per-file hashes plus split-level and whole-dataset tree hashes. Tree
hashes are computed from sorted UTF-8 lines of the form
<relative_path>\t<size_bytes>\t<file_sha256>\n.
License
See LICENSE. HM3D scenes are not redistributed and remain subject to their
original terms. Access to this dataset does not grant a license to HM3D.
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