Datasets:
Tasks:
Tabular Classification
Modalities:
Text
Sub-tasks:
tabular-single-column-regression
Size:
100K<n<1M
License:
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 13 new columns ({'-69', '-46', '-47', '-30', '-91', '-73', '-83', '-59', '-79', '0.25', '-65', '-57', '1.25'}) and 13 missing columns ({'-61', '-54', '-95', '-51', '-66', '0', '-75', '-48', '-76', '-80', '1', '-53', '-32'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Brosnan/WIFI_RSSI_Indoor_Positioning_Dataset/Nexus4_Data/Long_Traj_Full.csv (at revision 48e546938ba5143a4af5c62ac868fa4d357b557b)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
1.25: double
0.25: double
-30: int64
-57: int64
-47: int64
-46: int64
-69: int64
-59: int64
-65: int64
-73: int64
-79: int64
-91: int64
-83: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1613
to
{'1': Value(dtype='float64', id=None), '0': Value(dtype='float64', id=None), '-32': Value(dtype='int64', id=None), '-54': Value(dtype='int64', id=None), '-48': Value(dtype='int64', id=None), '-51': Value(dtype='int64', id=None), '-66': Value(dtype='int64', id=None), '-53': Value(dtype='int64', id=None), '-61': Value(dtype='int64', id=None), '-76': Value(dtype='int64', id=None), '-75': Value(dtype='int64', id=None), '-95': Value(dtype='int64', id=None), '-80': Value(dtype='int64', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 13 new columns ({'-69', '-46', '-47', '-30', '-91', '-73', '-83', '-59', '-79', '0.25', '-65', '-57', '1.25'}) and 13 missing columns ({'-61', '-54', '-95', '-51', '-66', '0', '-75', '-48', '-76', '-80', '1', '-53', '-32'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Brosnan/WIFI_RSSI_Indoor_Positioning_Dataset/Nexus4_Data/Long_Traj_Full.csv (at revision 48e546938ba5143a4af5c62ac868fa4d357b557b)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
1
float64 | 0
float64 | -32
int64 | -54
int64 | -48
int64 | -51
int64 | -66
int64 | -53
int64 | -61
int64 | -76
int64 | -75
int64 | -95
int64 | -80
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
2.4087
| 0.011361
| -33
| -55
| -47
| -43
| -69
| -54
| -66
| -70
| -82
| -90
| -79
|
3.9252
| 0.020731
| -33
| -52
| -46
| -48
| -70
| -64
| -61
| -71
| -76
| -94
| -80
|
5.25
| 0
| -35
| -46
| -46
| -47
| -52
| -60
| -59
| -63
| -77
| -83
| -81
|
5.1841
| -0.6951
| -41
| -47
| -46
| -52
| -72
| -58
| -56
| -64
| -75
| -86
| -81
|
5.1962
| -1.4167
| -38
| -47
| -42
| -62
| -58
| -61
| -64
| -61
| -72
| -79
| -85
|
5.2009
| -2.1747
| -45
| -44
| -47
| -59
| -54
| -62
| -61
| -61
| -72
| -83
| -88
|
5.1705
| -2.9514
| -39
| -41
| -56
| -56
| -52
| -69
| -70
| -64
| -76
| -78
| -89
|
5.1552
| -3.7281
| -40
| -43
| -56
| -59
| -53
| -67
| -100
| -58
| -71
| -70
| -87
|
5.1775
| -4.4401
| -49
| -38
| -54
| -62
| -54
| -67
| -70
| -58
| -68
| -73
| -89
|
5.1917
| -5.1733
| -48
| -35
| -56
| -62
| -54
| -68
| -69
| -52
| -70
| -81
| -92
|
5.1961
| -5.9329
| -42
| -34
| -61
| -66
| -54
| -76
| -68
| -56
| -70
| -72
| -91
|
5.1711
| -6.7009
| -44
| -33
| -54
| -61
| -51
| -67
| -70
| -56
| -72
| -74
| -92
|
5.1884
| -7.4524
| -47
| -38
| -61
| -66
| -49
| -74
| -73
| -61
| -71
| -71
| -94
|
5.2032
| -8.1684
| -47
| -43
| -59
| -61
| -47
| -76
| -69
| -62
| -78
| -68
| -90
|
5.1903
| -8.9568
| -46
| -47
| -58
| -66
| -43
| -78
| -79
| -59
| -72
| -65
| -94
|
5.174
| -9.693
| -48
| -42
| -61
| -63
| -41
| -77
| -72
| -67
| -73
| -74
| -96
|
5.2257
| -10.442
| -54
| -47
| -62
| -65
| -40
| -77
| -78
| -71
| -71
| -65
| -95
|
5.2195
| -11.173
| -57
| -45
| -63
| -66
| -42
| -76
| -74
| -61
| -75
| -63
| -93
|
5.2349
| -11.957
| -53
| -43
| -61
| -67
| -39
| -75
| -77
| -63
| -69
| -54
| -93
|
5
| -11.75
| -56
| -45
| -63
| -65
| -41
| -78
| -73
| -68
| -75
| -63
| -95
|
6.415
| -11.758
| -54
| -45
| -69
| -81
| -31
| -85
| -75
| -77
| -83
| -53
| -95
|
7.8699
| -11.822
| -64
| -50
| -59
| -85
| -26
| -89
| -75
| -83
| -69
| -58
| -98
|
9.3938
| -11.765
| -61
| -52
| -64
| -83
| -34
| -90
| -76
| -86
| -67
| -48
| -98
|
10.857
| -11.741
| -65
| -53
| -67
| -86
| -30
| -84
| -72
| -87
| -72
| -57
| -94
|
12.381
| -11.828
| -62
| -57
| -66
| -82
| -33
| -76
| -71
| -83
| -63
| -62
| -89
|
13.861
| -11.781
| -62
| -60
| -72
| -91
| -38
| -88
| -75
| -94
| -64
| -56
| -92
|
15.337
| -11.793
| -64
| -58
| -70
| -91
| -42
| -88
| -68
| -92
| -65
| -54
| -90
|
16.873
| -11.82
| -73
| -57
| -75
| -91
| -51
| -94
| -69
| -95
| -57
| -61
| -93
|
18.382
| -11.832
| -67
| -60
| -69
| -96
| -43
| -91
| -62
| -98
| -59
| -66
| -82
|
19.905
| -11.827
| -68
| -65
| -68
| -93
| -44
| -86
| -61
| -91
| -55
| -67
| -76
|
20.684
| -11.887
| -66
| -63
| -66
| -91
| -43
| -80
| -61
| -83
| -48
| -60
| -68
|
20.724
| -10.369
| -74
| -68
| -64
| -88
| -53
| -83
| -61
| -88
| -55
| -67
| -73
|
20.67
| -8.9234
| -73
| -66
| -67
| -93
| -51
| -85
| -56
| -89
| -42
| -80
| -68
|
20.672
| -7.3857
| -72
| -61
| -64
| -93
| -56
| -83
| -51
| -94
| -38
| -85
| -66
|
20.654
| -5.9016
| -71
| -64
| -65
| -87
| -59
| -79
| -50
| -92
| -52
| -82
| -60
|
20.701
| -4.4163
| -65
| -61
| -68
| -89
| -62
| -79
| -57
| -82
| -36
| -86
| -66
|
20.688
| -2.928
| -62
| -62
| -67
| -86
| -62
| -78
| -46
| -94
| -50
| -86
| -60
|
20.618
| -1.489
| -73
| -70
| -63
| -84
| -65
| -75
| -42
| -94
| -50
| -91
| -60
|
20.667
| 0.12384
| -63
| -67
| -55
| -81
| -70
| -78
| -41
| -93
| -43
| -90
| -56
|
20.728
| 1.6463
| -62
| -72
| -56
| -81
| -60
| -65
| -35
| -93
| -53
| -87
| -51
|
20.641
| 3.0994
| -55
| -69
| -46
| -76
| -70
| -58
| -39
| -95
| -49
| -85
| -54
|
20.934
| 4.2221
| -61
| -72
| -44
| -78
| -68
| -66
| -39
| -97
| -52
| -88
| -55
|
19.446
| 4.2144
| -59
| -76
| -49
| -83
| -77
| -62
| -33
| -97
| -57
| -96
| -52
|
17.938
| 4.1889
| -52
| -75
| -47
| -70
| -84
| -59
| -28
| -96
| -59
| -93
| -51
|
16.431
| 4.2242
| -57
| -72
| -44
| -77
| -75
| -57
| -33
| -92
| -64
| -97
| -51
|
15
| 4.25
| -56
| -71
| -47
| -70
| -100
| -59
| -35
| -93
| -63
| -97
| -58
|
13.401
| 3.995
| -53
| -71
| -33
| -65
| -100
| -50
| -46
| -88
| -64
| -97
| -54
|
11.907
| 3.9855
| -46
| -66
| -32
| -64
| -66
| -54
| -43
| -91
| -76
| -94
| -69
|
10.431
| 3.9378
| -41
| -60
| -28
| -59
| -70
| -45
| -49
| -81
| -69
| -91
| -65
|
9
| 4
| -41
| -64
| -29
| -61
| -64
| -49
| -51
| -81
| -67
| -85
| -71
|
7.6982
| 4.2019
| -40
| -61
| -33
| -58
| -75
| -54
| -48
| -86
| -77
| -95
| -71
|
6.2041
| 4.1638
| -41
| -61
| -38
| -56
| -67
| -54
| -53
| -85
| -70
| -90
| -77
|
5.1901
| 3.7113
| -38
| -55
| -35
| -54
| -67
| -47
| -50
| -82
| -69
| -83
| -73
|
5.2049
| 2.1871
| -47
| -51
| -45
| -50
| -60
| -58
| -60
| -77
| -73
| -86
| -78
|
5.1901
| 0.80391
| -39
| -49
| -37
| -49
| -60
| -58
| -58
| -83
| -72
| -86
| -75
|
4.6147
| 0.24589
| -38
| -54
| -45
| -53
| -65
| -61
| -58
| -68
| -75
| -84
| -83
|
3.1601
| 0.2261
| -34
| -54
| -40
| -45
| -68
| -59
| -60
| -80
| -87
| -87
| -81
|
1.6686
| 0.27602
| -32
| -55
| -49
| -46
| -68
| -57
| -62
| -87
| -75
| -94
| -79
|
1.25
| 0.25
| -32
| -59
| -46
| -51
| -71
| -57
| -57
| -82
| -82
| -92
| -81
|
2.6639
| 0.21569
| -32
| -53
| -44
| -53
| -66
| -61
| -63
| -83
| -82
| -92
| -82
|
4.1644
| 0.25332
| -34
| -52
| -44
| -46
| -68
| -56
| -64
| -74
| -78
| -90
| -79
|
5.25
| 0.25
| -35
| -50
| -39
| -49
| -55
| -59
| -65
| -68
| -74
| -82
| -83
|
5.2862
| 1.5333
| -40
| -57
| -37
| -48
| -62
| -58
| -57
| -81
| -76
| -84
| -80
|
5.2134
| 3.1619
| -36
| -53
| -36
| -50
| -62
| -55
| -51
| -69
| -74
| -81
| -77
|
5.6555
| 4.2214
| -41
| -58
| -35
| -53
| -72
| -55
| -55
| -78
| -75
| -90
| -72
|
7.1857
| 4.2434
| -38
| -64
| -44
| -58
| -74
| -53
| -57
| -80
| -79
| -91
| -79
|
8.7367
| 4.1576
| -37
| -65
| -33
| -60
| -69
| -50
| -51
| -80
| -74
| -89
| -66
|
9.9203
| 3.9699
| -47
| -55
| -33
| -63
| -69
| -47
| -48
| -81
| -68
| -89
| -66
|
11.416
| 4.0115
| -50
| -65
| -38
| -65
| -65
| -45
| -44
| -81
| -78
| -95
| -61
|
12.913
| 4.0452
| -48
| -64
| -37
| -74
| -71
| -57
| -40
| -94
| -65
| -95
| -60
|
14.419
| 3.9874
| -47
| -66
| -37
| -74
| -100
| -59
| -38
| -98
| -63
| -100
| -57
|
15.911
| 4.2211
| -52
| -70
| -44
| -77
| -72
| -58
| -27
| -92
| -68
| -97
| -51
|
17.405
| 4.2199
| -57
| -70
| -41
| -70
| -80
| -61
| -27
| -96
| -65
| -98
| -51
|
18.956
| 4.1877
| -59
| -72
| -48
| -74
| -77
| -60
| -33
| -100
| -64
| -87
| -51
|
20.488
| 4.235
| -57
| -76
| -42
| -75
| -74
| -63
| -38
| -95
| -60
| -90
| -54
|
20.753
| 3.5027
| -56
| -76
| -45
| -77
| -70
| -59
| -36
| -97
| -49
| -91
| -48
|
20.634
| 2.0787
| -58
| -75
| -58
| -79
| -64
| -66
| -38
| -96
| -54
| -84
| -50
|
20.662
| 0.55859
| -67
| -65
| -53
| -80
| -73
| -64
| -45
| -97
| -58
| -90
| -55
|
20.671
| -0.91105
| -74
| -69
| -59
| -86
| -70
| -78
| -46
| -95
| -39
| -86
| -55
|
20.691
| -2.4391
| -67
| -73
| -61
| -90
| -60
| -77
| -48
| -97
| -37
| -83
| -57
|
20.629
| -3.9983
| -70
| -63
| -64
| -87
| -57
| -79
| -50
| -83
| -39
| -87
| -64
|
20.695
| -5.3705
| -68
| -57
| -67
| -88
| -57
| -79
| -57
| -86
| -40
| -82
| -61
|
20.659
| -6.9519
| -72
| -72
| -67
| -91
| -61
| -82
| -58
| -89
| -40
| -87
| -73
|
20.689
| -8.4162
| -70
| -60
| -70
| -91
| -54
| -83
| -55
| -88
| -42
| -80
| -69
|
20.626
| -9.9114
| -75
| -64
| -71
| -89
| -59
| -86
| -54
| -90
| -46
| -69
| -69
|
20.679
| -11.423
| -68
| -58
| -72
| -92
| -47
| -88
| -63
| -91
| -47
| -65
| -73
|
20.404
| -10.583
| -74
| -77
| -75
| -94
| -56
| -87
| -65
| -97
| -53
| -77
| -78
|
20.5
| -12
| -71
| -66
| -74
| -94
| -46
| -86
| -64
| -93
| -58
| -67
| -72
|
18.883
| -11.821
| -74
| -61
| -72
| -91
| -46
| -89
| -61
| -95
| -55
| -68
| -83
|
17.379
| -11.807
| -73
| -66
| -75
| -90
| -53
| -93
| -73
| -96
| -61
| -60
| -85
|
15.882
| -11.799
| -68
| -61
| -69
| -91
| -47
| -93
| -70
| -94
| -58
| -57
| -90
|
14.37
| -11.759
| -70
| -63
| -70
| -87
| -36
| -90
| -73
| -90
| -66
| -57
| -91
|
12.909
| -11.737
| -60
| -60
| -69
| -85
| -35
| -79
| -75
| -89
| -67
| -65
| -93
|
11.363
| -11.76
| -64
| -56
| -61
| -84
| -37
| -79
| -71
| -89
| -69
| -52
| -92
|
9.8655
| -11.78
| -65
| -56
| -64
| -88
| -26
| -87
| -74
| -90
| -66
| -53
| -97
|
8.3643
| -11.811
| -62
| -52
| -66
| -86
| -27
| -88
| -75
| -83
| -69
| -58
| -96
|
6.897
| -11.754
| -59
| -50
| -69
| -86
| -34
| -86
| -78
| -86
| -82
| -54
| -96
|
5.2349
| -11.957
| -53
| -44
| -61
| -65
| -37
| -75
| -73
| -64
| -66
| -54
| -94
|
5.2195
| -11.173
| -56
| -47
| -63
| -67
| -41
| -76
| -72
| -62
| -76
| -63
| -93
|
5.2257
| -10.442
| -52
| -46
| -64
| -65
| -40
| -77
| -70
| -71
| -71
| -65
| -94
|
End of preview.
WIFI RSSI Indoor Positioning Dataset
A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.
We use an autonomous robot to collect the WiFi fingerprint data. Our 3-wheel robot has multiple sensors including wheel odometer, an inertial measurement unit (IMU), a LIDAR, sonar sensors and a color and depth (RGB-D) camera. The robot can navigate to a target location to collect WiFi fingerprints automatically. The localization accuracy of the robot is 0.07 m ± 0.02 m. The dimension of the area is 21 m × 16 m. It has three long corridors. There are six APs and five of them provide two distinct MAC address for 2.4- and 5-GHz communications channels, respectively, except for one that only operates on 2.4-GHz frequency. There is one router can provide CSI information.
Data Format
X Position (m), Y Position (m), RSSI Feature 1 (dBm), RSSI Feature 2 (dBm), RSSI Feature 3 (dBm), RSSI Feature 4 (dBm), ...
- Downloads last month
- 47