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marcus-lion
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whitebox-test-csv-files

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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 1 new columns ({'y2'}) and 1 missing columns ({'y'}).

This happened while the csv dataset builder was generating data using

hf://datasets/marcus-lion/whitebox-test-csv-files/20251028_012018.yolo.csv (at revision 61261e6f8023f32d6dfdd5460e8c82db9bf93fe5)

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              timestamp: int64
              inferenceTime: int64
              latitude: double
              longitude: double
              altitude: double
              compass: double
              count: int64
              classId: int64
              className: string
              confidence: double
              x1: double
              y1: double
              x2: double
              y2: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1844
              to
              {'timestamp': Value('int64'), 'inferenceTime': Value('int64'), 'latitude': Value('float64'), 'longitude': Value('float64'), 'altitude': Value('float64'), 'compass': Value('float64'), 'count': Value('int64'), 'classId': Value('int64'), 'className': Value('string'), 'confidence': Value('float64'), 'x1': Value('float64'), 'y1': Value('float64'), 'x2': Value('float64'), 'y': Value('float64')}
              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 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 1 new columns ({'y2'}) and 1 missing columns ({'y'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/marcus-lion/whitebox-test-csv-files/20251028_012018.yolo.csv (at revision 61261e6f8023f32d6dfdd5460e8c82db9bf93fe5)
              
              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.

timestamp
int64
inferenceTime
int64
latitude
float64
longitude
float64
altitude
float64
compass
float64
count
int64
classId
int64
className
string
confidence
float64
x1
float64
y1
float64
x2
float64
y
float64
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0.917295
0.33917
0.58281
0.999626
0.998933
1,761,012,891,646
70
37.421998
-122.084
5
0
1
0
person
0.930142
0.345021
0.584903
0.99895
0.999037
1,761,012,891,764
82
37.421998
-122.084
5
0
1
0
person
0.923908
0.34397
0.582911
0.999985
0.998647
1,761,012,891,921
130
37.421998
-122.084
5
0
1
0
person
0.923455
0.343557
0.585008
0.998061
0.999111
1,761,012,892,086
90
37.421998
-122.084
5
0
1
0
person
0.918752
0.346345
0.585623
0.998442
0.99904
1,761,012,892,217
66
37.421998
-122.084
5
0
1
0
person
0.923815
0.34061
0.584512
0.998061
0.998905
1,761,012,892,313
79
37.421998
-122.084
5
0
1
0
person
0.934411
0.344949
0.58474
0.999051
0.998649
1,761,012,892,434
80
37.421998
-122.084
5
0
1
0
person
0.933345
0.331657
0.585725
0.999284
0.998807
1,761,012,892,547
95
37.421998
-122.084
5
0
1
0
person
0.928336
0.341529
0.584828
0.998474
0.998891
1,761,012,892,697
68
37.421998
-122.084
5
0
1
0
person
0.924783
0.337883
0.585459
0.998878
0.998934
1,761,012,892,829
62
37.421998
-122.084
5
0
1
0
person
0.936661
0.342392
0.583918
0.999687
0.998857
End of preview.

Data collected using an Android Pixel 7 with MarcusLion Whitbox2 app. It is a time series that includes latitude, longitude, altitude, as well as sensor data from the accelerometer, phone rotation.

This dataset contains to sets of csv files

  • sensors
  • yolo

both contain headers:

{YYYYMMdd_HHmmss}_sensors.csv:

  • timestamp: Epoch time in milliseconds (1970) at which the event happened.
  • latitude, longitude: rounded to 1.1 meters
  • altitude: in meters
  • distance: distance in meters of last two readings
  • speed: in meters/second
  • incline: in meters/second
  • bearing: a compass bearing (0-360) degrees
  • accel: SQRT(SUM(accel-x^2, accel-y^2, accel-z^2))
  • accel-[x|y|z]: component vectors of acceleration - after gravity vector has been substracted
  • rotation-[x|y|z]: phone orientation, expected to be portrait

{YYYYMMdd_HHmmss}_yolo.csv:

  • timestamp: Epoch time in milliseconds (1970) at which the event happened.
  • inferenceTime: time in milliseonds
  • latitude, longitude: rounded to 1.1 meters
  • altitude: in meters
  • compass: 0-360 - bearing
  • count: always 1 - per line
  • classId: internal Id
  • className: String
  • confidence: 0-1 float
  • x1, y1, x2, y2: BoundingBox

NB: min speed for logging is 0.1 / meters / second

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