Multi-modal datasets (currently 7 in total)
Collection
7 items • Updated
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The dataset generation failed
Error code: DatasetGenerationError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
for item in generator(*args, **kwargs):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/text/text.py", line 98, in _generate_tables
batch = f.read(self.config.chunksize)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
out = read(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "<frozen codecs>", line 322, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte
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 1646, 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 1832, 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.
text string |
|---|
"RSF1": { |
"VehicleType": "PhysXCar", |
"PawnPath": "RSF", |
"X": 190.0, |
"Y": -69.7, |
"Z": -5.5, |
"Roll": 0, |
"Pitch": 0, |
"Yaw": 155 |
}, |
"RSF2": { |
"VehicleType": "PhysXCar", |
"PawnPath": "RSF", |
"X": 175.6, |
"Y": -49.3, |
"Z": -5.5, |
"Roll": 0, |
"Pitch": 0, |
"Yaw": -83 |
}, |
"RSF3": { |
"VehicleType": "PhysXCar", |
"PawnPath": "RSF", |
"X": 165.7, |
"Y": -72.4, |
"Z": -5.5, |
"Roll": 0, |
"Pitch": 0, |
"Yaw": 35 |
}, |
"RSF4": { |
"VehicleType": "PhysXCar", |
"PawnPath": "RSF", |
"X": 229.3, |
"Y": -1.7, |
"Z": -5.5, |
"Roll": 0, |
"Pitch": 0, |
"Yaw": -50 |
}, |
"RSF5": { |
"VehicleType": "PhysXCar", |
"PawnPath": "RSF", |
"X": 244.3, |
"Y": -18.2, |
"Z": -5.5, |
"Roll": 0, |
"Pitch": 0, |
"Yaw": 130 |
}, |
"RSF6": { |
"VehicleType": "PhysXCar", |
"PawnPath": "RSF", |
"X": 77.4, |
"Y": -10.9, |
"Z": -5.5, |
"Roll": 0, |
"Pitch": 0, |
"Yaw": -115 |
}, |
"RSF7": { |
"VehicleType": "PhysXCar", |
"PawnPath": "RSF", |
"X": 68.3, |
"Y": -32.6, |
"Z": -5.5, |
"Roll": 0, |
"Pitch": 0, |
"Yaw": 65 |
}, |
"RSF8": { |
"VehicleType": "PhysXCar", |
"PawnPath": "RSF", |
"X": 201.3, |
"Y": -163.8, |
"Z": -5.5, |
"Roll": 0, |
"Pitch": 0, |
"Yaw": -176 |
}, |
"RSF9": { |
"VehicleType": "PhysXCar", |
"PawnPath": "RSF", |
"X": 176.6, |
"Y": -165.7, |
"Z": -5.5, |
"Roll": 0, |
"Pitch": 0, |
"Yaw": 4 |
} |
-163.21 75.67 0.0 0.0 0.0 5.903 541 |
-163.21 75.67 0.0 0.0 0.0 5.903 542 |
-163.2 75.66 0.0 0.0 0.0 5.903 543 |
-163.18 75.65 0.0 0.0 0.0 5.903 544 |
-163.16 75.64 0.0 0.0 0.0 5.903 545 |
-163.13 75.63 0.0 0.0 0.0 5.903 546 |
-163.09 75.62 0.0 0.0 0.0 5.903 547 |
-163.05 75.6 0.0 0.0 0.0 5.903 548 |
-163.01 75.58 0.0 0.0 0.0 5.903 549 |
-162.95 75.56 0.0 0.0 0.0 5.903 550 |
End of preview.
M³SC: A generic dataset for mixed multi-modal (MMM) sensing and communication integration
📌 Overview
M³SC is the first simulation dataset for communication and multi-modal sensing for connected intelligent vehicles, covering multiple typical environments such as urban, suburban, and rural areas, and comprehensively considering scenario conditions including multi-weather, multi-time periods, multi-vehicle traffic densities, multi-frequency bands, and multi-antenna arrays. At the same time, the M³SC dataset is constructed based on a self-developed communication and multi-modal sensing information generation and acquisition platform, which deeply integrates and precisely matches three high-precision simulation software: AirSim, WaveFarer, and Wireless InSite, achieving deep fusion of electromagnetic space and physical space as well as spatio-temporal alignment of multi-modal information. The constructed M³SC dataset includes RF communication channel data, RF sensing data, and non-RF sensing data, specifically including 300,000 RGB images, 600,000 depth maps, 300,000 LiDAR point clouds, 240,000 millimeter-wave radar signal waveforms, 200,000 channel matrices, and 50,000 path loss data.
📜Related paper
X. Cheng, Z. Huang, L. Bai, H. Zhang, M. Sun, B. Liu, S. Li, J. Zhang, and M. Lee, “M³SC: A generic dataset for mixed multi-modal (MMM) sensing and communication integration,” China Communications, vol. 20, no. 11, pp. 13-29, Nov. 2023.
For more information, please see: https://ivfc.caa.org.cn/trainning-data/
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