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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<agent_pos: list<item: double>, agent_yaw_deg: double, frontier_positions: list<item: list<item: double>>, bev_size: list<item: int64>, target_position: list<item: double>, candidates: list<item: struct<id: int64, type: string, pos: list<item: double>, semantic: list<item: null>>>, selected_candidate_id: int64>
to
{'agent_pos': List(Value('float64')), 'agent_yaw_deg': Value('float64'), 'frontier_positions': List(List(Value('float64'))), 'bev_size': List(Value('int64')), 'candidates': List({'id': Value('int64'), 'type': Value('string'), 'pos': List(Value('float64')), 'semantic': List(Value('null'))}), 'target_position': List(Value('float64'))}
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
pa_table = table_cast(pa_table, self._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 2224, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2092, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<agent_pos: list<item: double>, agent_yaw_deg: double, frontier_positions: list<item: list<item: double>>, bev_size: list<item: int64>, target_position: list<item: double>, candidates: list<item: struct<id: int64, type: string, pos: list<item: double>, semantic: list<item: null>>>, selected_candidate_id: int64>
to
{'agent_pos': List(Value('float64')), 'agent_yaw_deg': Value('float64'), 'frontier_positions': List(List(Value('float64'))), 'bev_size': List(Value('int64')), 'candidates': List({'id': Value('int64'), 'type': Value('string'), 'pos': List(Value('float64')), 'semantic': List(Value('null'))}), 'target_position': List(Value('float64'))}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1919, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id string | image list | width list | height list | conversations list | position_info dict |
|---|---|---|---|---|---|
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-0 | [
"few_S28/fov/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": 171.19872208655568,
"frontier_positions": [
[
256,
111
],
[
311,
251
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
311,
251
],
"semantic": []
},
{
"id": 1,
"type": "frontier",
"pos": [
256,
111
],
"semantic": []
}
],
"target_position": null
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-1 | [
"few_S28/fov/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/001.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": -158.80127831059386,
"frontier_positions": [
[
256,
111
],
[
311,
251
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
256,
111
],
"semantic": []
},
{
"id": 1,
"type": "frontier",
"pos": [
311,
251
],
"semantic": []
}
],
"target_position": null
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-2 | [
"few_S28/fov/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/002.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": -128.80127630626734,
"frontier_positions": [
[
256,
111
],
[
311,
251
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
256,
111
],
"semantic": []
},
{
"id": 1,
"type": "frontier",
"pos": [
311,
251
],
"semantic": []
}
],
"target_position": null
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-3 | [
"few_S28/fov/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/003.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": -98.80127788436022,
"frontier_positions": [
[
256,
111
],
[
311,
251
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
256,
111
],
"semantic": []
},
{
"id": 1,
"type": "frontier",
"pos": [
311,
251
],
"semantic": []
}
],
"target_position": null
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-4 | [
"few_S28/fov/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/004.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": -68.80127766173608,
"frontier_positions": [
[
256,
111
],
[
311,
251
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
311,
251
],
"semantic": []
},
{
"id": 1,
"type": "frontier",
"pos": [
256,
111
],
"semantic": []
}
],
"target_position": null
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-5 | [
"few_S28/fov/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/005.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": -98.80127343950703,
"frontier_positions": [
[
256,
111
],
[
311,
251
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
311,
251
],
"semantic": []
},
{
"id": 1,
"type": "frontier",
"pos": [
256,
111
],
"semantic": []
}
],
"target_position": null
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-6 | [
"few_S28/fov/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/006.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": -128.80127014654795,
"frontier_positions": [
[
256,
111
],
[
311,
251
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
256,
111
],
"semantic": []
},
{
"id": 1,
"type": "frontier",
"pos": [
311,
251
],
"semantic": []
}
],
"target_position": null
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-7 | [
"few_S28/fov/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/007.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": -128.80127014654795,
"frontier_positions": [
[
253,
113
],
[
308,
255
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
308,
255
],
"semantic": []
},
{
"id": 1,
"type": "frontier",
"pos": [
253,
113
],
"semantic": []
}
],
"target_position": null
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-8 | [
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"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": -128.80127014654795,
"frontier_positions": [
[
250,
116
],
[
305,
259
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
305,
259
],
"semantic": []
},
{
"id": 1,
"type": "frontier",
"pos": [
250,
116
],
"semantic": []
}
],
"target_position": null
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-9 | [
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"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": -98.80127343950703,
"frontier_positions": [
[
250,
116
],
[
305,
259
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
250,
116
],
"semantic": []
},
{
"id": 1,
"type": "frontier",
"pos": [
305,
259
],
"semantic": []
}
],
"target_position": null
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-10 | [
"few_S28/fov/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": -98.80127343950703,
"frontier_positions": [
[
249,
121
],
[
304,
264
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
304,
264
],
"semantic": []
},
{
"id": 1,
"type": "frontier",
"pos": [
249,
121
],
"semantic": []
}
],
"target_position": null
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-11 | [
"few_S28/fov/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/011.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/000.png",
"few_S28/panoramic_rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/010.png"
] | [
448,
224,
224
] | [
448,
224,
224
] | [
{
"from": "human",
"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
224,
224
],
"agent_yaw_deg": -98.80127343950703,
"frontier_positions": [
[
249,
125
],
[
304,
269
]
],
"bev_size": [
448,
448
],
"candidates": [
{
"id": 0,
"type": "frontier",
"pos": [
304,
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5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-67 | [
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5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-69 | [
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5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-71 | [
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5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-72 | [
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5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-73 | [
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5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-74 | [
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5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-75 | [
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5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-76 | [
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5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-77 | [
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"target_position": [
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} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-79 | [
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"few_S28/rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/065.png",
"few_S28/rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/053.png",
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{
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"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
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"type": "frontier",
"pos": [
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{
"id": 13,
"type": "target",
"pos": [
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{
"id": 14,
"type": "frontier",
"pos": [
182,
390
],
"semantic": []
}
],
"target_position": [
263,
178
]
} |
5q7pvUzZiYa-A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA-bathtub-80 | [
"few_S28/fov/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/080.png",
"few_S28/rgb/5q7pvUzZiYa/A9K0CV70JWG1W:3XUHV3NRVM1JR5Y0OQ9I1DG86CS5HA_bathtub/062.png",
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{
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"value": "Imagine you are an autonomous robot in an indoor habitat environment.\nInputs:\n- BEV grid map <image_bev> showing free (white), occupied (black), unexplored (gray), frontier candidates (green dots), robot pose/heading (red arrow), past trajectory (blue line), and egocentric cam... | {
"agent_pos": [
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"pos": [
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],
"semantic": []
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{
"id": 5,
"type": "frontier",
"pos": [
250,
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],
"semantic": []
},
{
"id": 6,
"type": "frontier",
"pos": [
285,
172
],
"semantic": []
},
{
"id": 7,
"type": "frontier",
"pos": [
174,
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],
"semantic": []
},
{
"id": 8,
"type": "target",
"pos": [
263,
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],
"semantic": null
},
{
"id": 9,
"type": "frontier",
"pos": [
265,
127
],
"semantic": []
},
{
"id": 10,
"type": "frontier",
"pos": [
224,
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"semantic": []
},
{
"id": 11,
"type": "frontier",
"pos": [
167,
103
],
"semantic": []
},
{
"id": 12,
"type": "frontier",
"pos": [
245,
158
],
"semantic": []
},
{
"id": 13,
"type": "frontier",
"pos": [
182,
390
],
"semantic": []
},
{
"id": 14,
"type": "frontier",
"pos": [
259,
192
],
"semantic": []
}
],
"target_position": [
263,
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]
} |
End of preview.
for d in fov rgb panoramic_rgb; do
echo "Extracting $d..."
for f in "$d"/*.tar; do
tar -xf "$f"
done
done
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