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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError Exception: ValueError Message: Not able to read records in the JSON file at gzip://102344022.json::hf://datasets/ai-habitat/OVMM_episodes@9ad25fbd86a3fd352c7a0fc1f99132fbb5802378/train/content/102344022.json.gz. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['episodes', 'config', 'obj_category_to_obj_category_id', 'recep_category_to_recep_category_id']. Select the correct one and provide it as `field='XXX'` to the dataset loading method. Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, 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 2216, 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 1239, in _head return _examples_to_batch(list(self.take(n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__ yield from islice(self.ex_iterable, self.n) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__ for key, pa_table in self.generate_tables_fn(**self.kwargs): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 170, in _generate_tables raise ValueError( ValueError: Not able to read records in the JSON file at gzip://102344022.json::hf://datasets/ai-habitat/OVMM_episodes@9ad25fbd86a3fd352c7a0fc1f99132fbb5802378/train/content/102344022.json.gz. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['episodes', 'config', 'obj_category_to_obj_category_id', 'recep_category_to_recep_category_id']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
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Open Vocab Mobile Manipulation episodes
We describe the fields in our OVMM episodes.
Initial Configuration
rigid_objs
: Initial poses of all pickable objects inserted into the scene specified via a 4x4 arraystart_position
: Position of the agent at the start of the episode.start_rotation
: Orientation of the agent at the start of the episode.
Goal specification
object_category
, start_recep_category
, and end_recep_category
: These fields specify the OVMM task goal - Move object_category
from start_recep_category
to goal_recep_category
Candidate targets
Each target is specified via an object_id
along with information on position
and a set of view_points
(agent poses from where the target is visible).
candidate_objects
: object instances belonging toobject_category
on top of a receptacle belonging tostart_recep_category
candidate_objects_hard
: all object instances belonging toobject_category
candidate_start_receps
: all receptacle instances belonging tostart_recep_category
candidate_goal_receps
: all receptacle instances belonging togoal_recep_category
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