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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Failed to parse string: '0000002_00005_d_0000014' as a scalar of type int64
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
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 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
return array_cast(
array,
...<2 lines>...
allow_decimal_to_str=allow_decimal_to_str,
)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2015, in array_cast
return array.cast(pa_type)
~~~~~~~~~~^^^^^^^^^
File "pyarrow/array.pxi", line 1186, in pyarrow.lib.Array.cast
File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 414, in cast
return call_function("cast", [arr], options, memory_pool)
File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
result = GetResultValue(
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Failed to parse string: '0000002_00005_d_0000014' as a scalar of type int64
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, 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.
schema string | image string | seq string | split string | frame int64 | width int64 | height int64 | sha256 string | env dict | objects list | ignore_regions list |
|---|---|---|---|---|---|---|---|---|---|---|
uav6g.meta/1.1 | images/train/M0101/img000001.jpg | M0101 | train | 1 | 1,024 | 540 | 96f04bec238781ef40f000d2cc14b67d4d3ea15a525bb42eaeae11f3f37e296d | {
"source": "estimated",
"illuminance_lux": 8663.3,
"luma_mean": 110.89,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
141,
147,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 2,
"bbox_xywh_px": [
26,
179,
... | [
[
914,
189,
105,
54
],
[
956,
480,
64,
58
],
[
788,
291,
121,
113
]
] |
uav6g.meta/1.1 | images/train/M0101/img000002.jpg | M0101 | train | 2 | 1,024 | 540 | b192a207f4ae3b2d6082bf3c604570de565129fce997a2fb2c5e894730f0d8a8 | {
"source": "estimated",
"illuminance_lux": 8664.1,
"luma_mean": 110.9,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 110... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
138,
147,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 2,
"bbox_xywh_px": [
22,
179,
... | [
[
914,
188,
105,
55
],
[
956,
480,
63,
57
],
[
787,
291,
121,
113
]
] |
uav6g.meta/1.1 | images/train/M0101/img000003.jpg | M0101 | train | 3 | 1,024 | 540 | c7a147767d29d0ddd372530f63a87dc126c8c48334c3380d46ace081db4ace10 | {
"source": "estimated",
"illuminance_lux": 8660.2,
"luma_mean": 110.85,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
136,
148,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 2,
"bbox_xywh_px": [
18,
179,
... | [
[
914,
188,
105,
55
],
[
957,
481,
62,
56
],
[
787,
292,
121,
113
]
] |
uav6g.meta/1.1 | images/train/M0101/img000004.jpg | M0101 | train | 4 | 1,024 | 540 | 4aa6d46674cbf66b1511c778a1efc05179a69fb7b3f3924c5ab69f066537ce15 | {
"source": "estimated",
"illuminance_lux": 8658.6,
"luma_mean": 110.83,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
134,
148,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 2,
"bbox_xywh_px": [
14,
180,
... | [
[
914,
188,
105,
55
],
[
958,
482,
61,
55
],
[
787,
293,
121,
113
]
] |
uav6g.meta/1.1 | images/train/M0101/img000005.jpg | M0101 | train | 5 | 1,024 | 540 | 70daab3d5712a70887414490610d3028cea8b04010fa5a710eff05ae5957cdd8 | {
"source": "estimated",
"illuminance_lux": 8654.7,
"luma_mean": 110.78,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
131,
149,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 2,
"bbox_xywh_px": [
11,
180,
... | [
[
914,
187,
105,
56
],
[
959,
483,
60,
54
],
[
787,
293,
121,
113
]
] |
uav6g.meta/1.1 | images/train/M0101/img000006.jpg | M0101 | train | 6 | 1,024 | 540 | 24fde22c50f70ddb242a7540f65570aa2d67467190a267dd44fcce95ea1b50d0 | {
"source": "estimated",
"illuminance_lux": 8668.8,
"luma_mean": 110.96,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
129,
149,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 2,
"bbox_xywh_px": [
7,
181,
... | [
[
914,
187,
105,
56
],
[
960,
484,
59,
53
],
[
787,
294,
121,
113
]
] |
uav6g.meta/1.1 | images/train/M0101/img000007.jpg | M0101 | train | 7 | 1,024 | 540 | e2760103c018f56336ac50f9ed9207a885cf363931ab9a3cba112e43ba27fd11 | {
"source": "estimated",
"illuminance_lux": 8684.4,
"luma_mean": 111.16,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
127,
150,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 2,
"bbox_xywh_px": [
3,
181,
... | [
[
914,
187,
105,
56
],
[
960,
485,
59,
52
],
[
787,
295,
121,
113
]
] |
uav6g.meta/1.1 | images/train/M0101/img000008.jpg | M0101 | train | 8 | 1,024 | 540 | a53e17baafc856e7f27d1113a3e1d8a8ce6f28fc2fefe3810cda975d8750965b | {
"source": "estimated",
"illuminance_lux": 8702.3,
"luma_mean": 111.39,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
124,
150,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 2,
"bbox_xywh_px": [
0,
182,
... | [
[
914,
186,
105,
57
],
[
961,
486,
58,
51
],
[
787,
295,
121,
113
]
] |
uav6g.meta/1.1 | images/train/M0101/img000009.jpg | M0101 | train | 9 | 1,024 | 540 | 1d1c66764235205144ab5669681592f0d2fca26500f2dbb34f45fc5a6ca59909 | {
"source": "estimated",
"illuminance_lux": 8724.2,
"luma_mean": 111.67,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
122,
151,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 2,
"bbox_xywh_px": [
0,
182,
... | [
[
914,
186,
105,
57
],
[
962,
487,
57,
50
],
[
787,
296,
121,
113
]
] |
uav6g.meta/1.1 | images/train/M0101/img000010.jpg | M0101 | train | 10 | 1,024 | 540 | fdcc6c764a00c51171ff3a866e3890f3b8d30deb64a085336e2e9da01413b6af | {
"source": "estimated",
"illuminance_lux": 8738.3,
"luma_mean": 111.85,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
120,
151,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 2,
"bbox_xywh_px": [
0,
182,
... | [
[
914,
186,
105,
57
],
[
963,
488,
56,
49
],
[
787,
297,
121,
113
]
] |
uav6g.meta/1.1 | images/train/M0101/img000011.jpg | M0101 | train | 11 | 1,024 | 540 | 43a7447c2a2a8843d2b03c67c837c3a7e1d30242aeb6e6ba05ed64c023d191b3 | {
"source": "estimated",
"illuminance_lux": 8745.3,
"luma_mean": 111.94,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
118,
152,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 2,
"bbox_xywh_px": [
0,
182,
... | [
[
915,
186,
104,
57
],
[
964,
489,
55,
48
],
[
787,
298,
121,
113
]
] |
uav6g.meta/1.1 | images/train/M0101/img000012.jpg | M0101 | train | 12 | 1,024 | 540 | eaff140a0d922dfef99af02aa8817a2f7cad742d8335bada76461fb4ca371e11 | {
"source": "estimated",
"illuminance_lux": 8747.7,
"luma_mean": 111.97,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
115,
153,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 3,
"bbox_xywh_px": [
244,
234,
... | [
[
915,
187,
104,
57
],
[
964,
490,
55,
47
],
[
787,
299,
121,
112
]
] |
uav6g.meta/1.1 | images/train/M0101/img000013.jpg | M0101 | train | 13 | 1,024 | 540 | 23e86a0f130ca58a935cde4870f65b5cf6676a76040d8ff94f41876c719ca571 | {
"source": "estimated",
"illuminance_lux": 8750.8,
"luma_mean": 112.01,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
112,
154,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 3,
"bbox_xywh_px": [
247,
235,
... | [
[
915,
188,
104,
57
],
[
965,
492,
54,
45
],
[
787,
300,
122,
112
]
] |
uav6g.meta/1.1 | images/train/M0101/img000014.jpg | M0101 | train | 14 | 1,024 | 540 | 46213c0d42abf510f5f9151a863532b7033947c52cdb9e6f8705327fb839592e | {
"source": "estimated",
"illuminance_lux": 8750,
"luma_mean": 112,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 112.0 反... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
109,
155,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 3,
"bbox_xywh_px": [
249,
236,
... | [
[
915,
189,
104,
57
],
[
966,
494,
53,
43
],
[
787,
301,
122,
112
]
] |
uav6g.meta/1.1 | images/train/M0101/img000015.jpg | M0101 | train | 15 | 1,024 | 540 | 566c3c490075fa69c1643cf3290aa0d8227a5ce6ac85377bc49885f5f0f1f662 | {
"source": "estimated",
"illuminance_lux": 8747.7,
"luma_mean": 111.97,
"temperature_c": null,
"wind_mps": null,
"visibility_m": null,
"source_detail": {
"illuminance_lux": "estimated",
"temperature_c": "unknown",
"wind_mps": "unknown",
"visibility_m": "unknown"
},
"note": "由图像均值亮度 11... | [
{
"cls_id": 2,
"cls": "bus",
"track_id": 1,
"bbox_xywh_px": [
106,
156,
106,
45
],
"px_size": 106,
"occlusion": 1,
"out_of_view": 1,
"mot_score": 1
},
{
"cls_id": 0,
"cls": "car",
"track_id": 3,
"bbox_xywh_px": [
251,
237,
... | [
[
915,
190,
104,
57
],
[
967,
496,
52,
41
],
[
787,
302,
123,
112
]
] |
uav6g.meta/1.1 | images/train/M0101/img000016.jpg | M0101 | train | 16 | 1,024 | 540 | 19711544384edfb7a2572d88ba4f7657ed35409fea8e6423eadb1161be7c8dca | {
"source": "estimated",
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uav6g.meta/1.1 | images/train/M0101/img000026.jpg | M0101 | train | 26 | 1,024 | 540 | 044e7b5cb42f0ebab1ee8afe8b29587ef90654796436209844ea6b97ec4e533a | {
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uav6g.meta/1.1 | images/train/M0101/img000027.jpg | M0101 | train | 27 | 1,024 | 540 | 3756bf39110bca497c2e83c6462957cd73fdb4fbdd9d7ad7c7b76fa411f862bb | {
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uav6g.meta/1.1 | images/train/M0101/img000028.jpg | M0101 | train | 28 | 1,024 | 540 | 3f2071934864c8fd4765b2a98be83ba34a90d0bb795224e05cc4edea7eb1dea8 | {
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uav6g.meta/1.1 | images/train/M0101/img000029.jpg | M0101 | train | 29 | 1,024 | 540 | 7beb88b454cff6a8143d37ec02e9d8776b9af42a891fa2e486c8d2e29c2623a3 | {
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uav6g.meta/1.1 | images/train/M0101/img000030.jpg | M0101 | train | 30 | 1,024 | 540 | d1f5854986957936a317a2e624c4b4fc026709451f63d71521f186cad34b74bf | {
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uav6g.meta/1.1 | images/train/M0101/img000031.jpg | M0101 | train | 31 | 1,024 | 540 | 4b5ec2478404d27656b31e8616407d4c38398837f0fb530275dca483a7801313 | {
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uav6g.meta/1.1 | images/train/M0101/img000032.jpg | M0101 | train | 32 | 1,024 | 540 | 1ddb5772023596da9c25a97b350dc01e2f8d2253032362f889302812ddc6d761 | {
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uav6g.meta/1.1 | images/train/M0101/img000033.jpg | M0101 | train | 33 | 1,024 | 540 | 61db58ac832529af235f75ce8afa9d32a6d4691f39a7c96747e8f0d96a984dfe | {
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uav6g.meta/1.1 | images/train/M0101/img000034.jpg | M0101 | train | 34 | 1,024 | 540 | e536072061603c29fcc31d90642235474f47b7ce0c470bc4f2a5490829a5d872 | {
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uav6g.meta/1.1 | images/train/M0101/img000035.jpg | M0101 | train | 35 | 1,024 | 540 | 97ef6a335674b9bfcb47297af468d4f8b27832917a738d349a636b4a42f4353b | {
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uav6g.meta/1.1 | images/train/M0101/img000052.jpg | M0101 | train | 52 | 1,024 | 540 | a86791446b1e5051ff92490a7d3ae39219323c7d802966730c47177ecfc8b802 | {
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uav6g.meta/1.1 | images/train/M0101/img000055.jpg | M0101 | train | 55 | 1,024 | 540 | 22b008b3d09dc732e4eeab2fc59d04780e0f713743423cb6c3ad7d7feb2d5005 | {
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uav6g.meta/1.1 | images/train/M0101/img000056.jpg | M0101 | train | 56 | 1,024 | 540 | 07a16587c4458410148187d92a762d2f69f243e97621dbc59dd115a47f057596 | {
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uav6g.meta/1.1 | images/train/M0101/img000057.jpg | M0101 | train | 57 | 1,024 | 540 | 4f677d79173e30112af70342c50dfaa3a0fdcb73d08307104c3973c8b519e2ff | {
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uav6g.meta/1.1 | images/train/M0101/img000058.jpg | M0101 | train | 58 | 1,024 | 540 | 67fe7861b386ac23efc06ea05df2f15a31e467fda5b539315cc0eb571124485b | {
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uav6g.meta/1.1 | images/train/M0101/img000059.jpg | M0101 | train | 59 | 1,024 | 540 | 7a25576b3294093edf1ece05dda64e9ee8fa4b0382988fac407d1a94deb40c6f | {
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uav6g.meta/1.1 | images/train/M0101/img000060.jpg | M0101 | train | 60 | 1,024 | 540 | 7fc03f2f0545970752362cab7bd009ff166647936b13e9ec792f4df938d79f20 | {
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uav6g.meta/1.1 | images/train/M0101/img000061.jpg | M0101 | train | 61 | 1,024 | 540 | ea3535e507f1919faf27c2a7de576355db47daecc3d1604796149868cc360e67 | {
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uav6g.meta/1.1 | images/train/M0101/img000062.jpg | M0101 | train | 62 | 1,024 | 540 | edd5ad1914acbfcc60b4f74601186c923e32fc7f3306db2c1e952e025264c302 | {
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uav6g.meta/1.1 | images/train/M0101/img000063.jpg | M0101 | train | 63 | 1,024 | 540 | 7d28d86f51479e3277013144151cffe4feb4daf2ac79742c54ccd5e176ee8be4 | {
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uav6g.meta/1.1 | images/train/M0101/img000064.jpg | M0101 | train | 64 | 1,024 | 540 | 90a4dc5086ef2e00bb1747da48e43bb49307e2cd81eb19050eb8076a34d625de | {
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uav6g.meta/1.1 | images/train/M0101/img000065.jpg | M0101 | train | 65 | 1,024 | 540 | 0dcf25d6ef061639117b52f23f3762629c40c56ba302bae4a075440cf446366a | {
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uav6g.meta/1.1 | images/train/M0101/img000066.jpg | M0101 | train | 66 | 1,024 | 540 | d533fa19fa839905b12b521ebe20430fecda5490dff77091ac408621752e1834 | {
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uav6g.meta/1.1 | images/train/M0101/img000067.jpg | M0101 | train | 67 | 1,024 | 540 | 4c7be52ed89a306ea9c548b029aee61a986dbb44464cfc202bcdf6f9af45f1db | {
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uav6g.meta/1.1 | images/train/M0101/img000068.jpg | M0101 | train | 68 | 1,024 | 540 | 281f061df2b4bfb7edf58adbac3177bba4b0865c3724b2e1e620bf102f110adb | {
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"note": "由图像均值亮度 11... | [
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uav6g.meta/1.1 | images/train/M0101/img000069.jpg | M0101 | train | 69 | 1,024 | 540 | 9bcf6e231b4272d27055c26584867904b790662896953608e98b975dcb7180c1 | {
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"note": "由图像均值亮度 11... | [
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uav6g.meta/1.1 | images/train/M0101/img000070.jpg | M0101 | train | 70 | 1,024 | 540 | 72730271c079d65773b7340bab04a2507fd92d23d3b468660858bb88188f2aee | {
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"note": "由图像均值亮度 11... | [
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uav6g.meta/1.1 | images/train/M0101/img000071.jpg | M0101 | train | 71 | 1,024 | 540 | f1075f997bf069e8ac0964eb1404dd87b536e0025de20294e7f12c6dba445e7c | {
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"note": "由图像均值亮度 11... | [
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uav6g.meta/1.1 | images/train/M0101/img000072.jpg | M0101 | train | 72 | 1,024 | 540 | 9f96d1292e5bdb86c8ce055d7aaee18a3f27d967d80edf3b7938d9ad664d7f93 | {
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"note": "由图像均值亮度 11... | [
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End of preview.
UAV_6G 数据集 · 端侧无人机可信感知（角色甲交付）
统一处理好的两份无人机视觉数据集，供项目"端侧无人机可信感知"使用。
所有图像/标签/meta 经 dataset/validate_meta.py 校验，0 ERROR。
内容
| 目录 | 来源 | 规模 | 用途 |
|---|---|---|---|
uavdt_yolo/ |
UAVDT-Benchmark-M（MOTD v1.0） | 50 序列 / 40,735 帧 / 798,795 框 | 跟踪评测 + 域内检测评测（唯一连续帧来源） |
visdrone_yolo/ |
VisDrone2019-DET train+val | 7,019 图 / 372,329 框 | 7 类检测训练主集 |
uavdt_motd.zip |
官方标注包原件 | 234 MB | 溯源存档（sha256 见 provenance） |
M_attr.zip |
官方序列属性包 | 9.3 KB | 天气/高度/视角属性源 |
目录结构
uavdt_yolo/
├── images/{train,test}/Mxxxx/img000001.jpg # 40,735 帧（train 24,143 / test 16,592）
├── labels/{train,test}/Mxxxx/img000001.txt # YOLO 归一化标签
├── meta/{train,test}/Mxxxx/img000001.json # 每帧 sidecar：px_size/track_id/照度/遮挡/忽略区/图像 sha256
├── seqs/M*.yaml # 50 条跟踪序列清单（帧范围连续）
├── strata/{daylight,night,fog}_{sparse,dense}.txt # 6 组天气×密度分层
├── data.yaml # Ultralytics 入口
└── provenance.json # 溯源档案（URL/sha256/脚本哈希/计数）
visdrone_yolo/ # 同构，但抽帧数据集：无 seqs/，strata 为 luma_*
类别契约（冻结，勿改）
["car","truck","bus","van","person","bicycle","motorcycle"] → cls_id 0..6
- UAVDT 源数据仅有 car/truck/bus 三类
- VisDrone 映射：pedestrian/people→person，motor→motorcycle，其余同名； tricycle/awning/others/score=0/ignored 已丢弃（21,390 框，见 provenance）
下载
pip install huggingface_hub
# 全量（~8.5GB）
hf download mythrise66/UAV_6G --repo-type dataset --local-dir data
# 只要某一份
hf download mythrise66/UAV_6G --repo-type dataset --include "visdrone_yolo/*" --local-dir data
诚实边界
temperature_c/wind_mps/visibility_m=null+source:"unknown"（数据集无真值，刻意不编）illuminance_lux为图像灰度估计值（source:"estimated"），仅单调可比- 图像分辨率不统一（1024×540、1920×1080 等），逐图记录在 meta/seqs
生成方式
由 UAV_6G 代码仓库 dataset/convert_yolo_like.py 一键生成可复现；
每张图像 sha256 记在对应 meta sidecar，GT 源文件 sha256 记在 seqs/*.yaml。
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