Datasets:
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 7 new columns ({'gyroscope_z', 'accelerometer_z', 'accelerometer_y', 'accelerometer_x', 'compass', 'gyroscope_y', 'gyroscope_x'}) and 3 missing columns ({'latitude', 'longitude', 'altitude'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ISeeTheFuture/GINE-DS-0.5/datasets/train/1752458292318622_imu_clean_data.csv (at revision bb14cf2f352582083fc91bff2ce3b09b01aa7eb1)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
timestamp: double
accelerometer_x: double
accelerometer_y: double
accelerometer_z: double
gyroscope_x: double
gyroscope_y: double
gyroscope_z: double
compass: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1258
to
{'timestamp': Value('float64'), 'latitude': Value('float64'), 'longitude': Value('float64'), 'altitude': 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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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 7 new columns ({'gyroscope_z', 'accelerometer_z', 'accelerometer_y', 'accelerometer_x', 'compass', 'gyroscope_y', 'gyroscope_x'}) and 3 missing columns ({'latitude', 'longitude', 'altitude'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ISeeTheFuture/GINE-DS-0.5/datasets/train/1752458292318622_imu_clean_data.csv (at revision bb14cf2f352582083fc91bff2ce3b09b01aa7eb1)
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
float64 | latitude
float64 | longitude
float64 | altitude
float64 |
|---|---|---|---|
338.968592
| -0.00022
| -0.000574
| 2.294121
|
339.088592
| -0.00022
| -0.000574
| 2.182467
|
339.178592
| -0.00022
| -0.000574
| 2.006255
|
339.298592
| -0.00022
| -0.000574
| 1.736003
|
339.388592
| -0.00022
| -0.000574
| 1.743197
|
339.478592
| -0.00022
| -0.000574
| 1.799185
|
339.598592
| -0.00022
| -0.000574
| 1.810411
|
339.688592
| -0.00022
| -0.000573
| 1.799728
|
339.778592
| -0.000219
| -0.000573
| 1.797728
|
339.898592
| -0.000218
| -0.000572
| 1.80538
|
339.988592
| -0.000217
| -0.000571
| 1.809956
|
340.078592
| -0.000215
| -0.00057
| 1.81038
|
340.198592
| -0.000214
| -0.000567
| 1.807738
|
340.288592
| -0.000213
| -0.000565
| 1.807248
|
340.378592
| -0.000213
| -0.000562
| 1.808427
|
340.498592
| -0.000212
| -0.000558
| 1.809752
|
340.588592
| -0.000212
| -0.000554
| 1.808297
|
340.678592
| -0.000213
| -0.00055
| 1.807223
|
340.798592
| -0.000214
| -0.000544
| 1.807503
|
340.888592
| -0.000215
| -0.000538
| 1.808799
|
340.978592
| -0.000217
| -0.000533
| 1.808296
|
341.098592
| -0.00022
| -0.000524
| 1.806714
|
341.188592
| -0.000221
| -0.000517
| 1.80831
|
341.278592
| -0.000222
| -0.000509
| 1.810873
|
341.398592
| -0.000223
| -0.000498
| 1.808905
|
341.488592
| -0.000224
| -0.000488
| 1.809303
|
341.578592
| -0.000225
| -0.000478
| 1.809354
|
341.698592
| -0.000227
| -0.000464
| 1.806019
|
341.788592
| -0.000228
| -0.000454
| 1.801
|
341.878592
| -0.000229
| -0.000443
| 1.793942
|
341.998592
| -0.000231
| -0.000428
| 1.777888
|
342.088592
| -0.000232
| -0.000416
| 1.768077
|
342.178592
| -0.000234
| -0.000404
| 1.760935
|
342.298592
| -0.000236
| -0.000388
| 1.750277
|
342.388592
| -0.000237
| -0.000375
| 1.737906
|
342.478592
| -0.000238
| -0.000363
| 1.728992
|
342.598592
| -0.00024
| -0.000346
| 1.721492
|
342.688592
| -0.000241
| -0.000334
| 1.718334
|
342.778592
| -0.000242
| -0.000322
| 1.719756
|
342.898592
| -0.000244
| -0.000306
| 1.708993
|
342.988592
| -0.000245
| -0.000294
| 1.700855
|
343.078592
| -0.000246
| -0.000282
| 1.695701
|
343.198592
| -0.000248
| -0.000266
| 1.686426
|
343.288592
| -0.000249
| -0.000253
| 1.674886
|
343.378592
| -0.00025
| -0.000241
| 1.659566
|
343.498592
| -0.000252
| -0.000225
| 1.638886
|
343.588592
| -0.000253
| -0.000212
| 1.625016
|
343.678592
| -0.000254
| -0.0002
| 1.619031
|
343.798592
| -0.000254
| -0.000183
| 1.616769
|
343.888592
| -0.000255
| -0.00017
| 1.618209
|
343.978592
| -0.000255
| -0.000157
| 1.621163
|
344.098592
| -0.000256
| -0.00014
| 1.622912
|
344.188592
| -0.000256
| -0.000127
| 1.622177
|
344.278592
| -0.000257
| -0.000113
| 1.624459
|
344.398592
| -0.000258
| -0.000095
| 1.63141
|
344.488592
| -0.000258
| -0.000081
| 1.636757
|
344.578592
| -0.000258
| -0.000066
| 1.638578
|
344.698592
| -0.000259
| -0.000046
| 1.639443
|
344.788592
| -0.000259
| -0.000031
| 1.644484
|
344.878592
| -0.000259
| -0.000016
| 1.653385
|
344.998592
| -0.000258
| 0.000005
| 1.667043
|
345.088592
| -0.000258
| 0.000021
| 1.677549
|
345.178592
| -0.000257
| 0.000038
| 1.678209
|
345.298592
| -0.000256
| 0.00006
| 1.668398
|
345.388592
| -0.000254
| 0.000077
| 1.652886
|
345.478592
| -0.000253
| 0.000091
| 1.660614
|
345.598592
| -0.000252
| 0.000109
| 1.643993
|
345.688592
| -0.000252
| 0.000122
| 1.640054
|
345.778592
| -0.000252
| 0.000134
| 1.659463
|
345.898592
| -0.000252
| 0.000149
| 1.67162
|
345.988592
| -0.000252
| 0.00016
| 1.680869
|
346.078592
| -0.000252
| 0.00017
| 1.675411
|
346.198592
| -0.000252
| 0.000184
| 1.66353
|
346.288592
| -0.000251
| 0.000193
| 1.662895
|
346.378592
| -0.000251
| 0.000203
| 1.661858
|
346.498592
| -0.000251
| 0.000216
| 1.659645
|
346.588592
| -0.000251
| 0.000226
| 1.660326
|
346.678592
| -0.000251
| 0.000236
| 1.666256
|
346.798592
| -0.000251
| 0.000248
| 1.672534
|
346.888592
| -0.000251
| 0.000257
| 1.676743
|
346.978592
| -0.000251
| 0.000266
| 1.681381
|
347.098592
| -0.000252
| 0.000277
| 1.68164
|
347.188592
| -0.000253
| 0.000285
| 1.681332
|
347.278592
| -0.000256
| 0.000293
| 1.685396
|
347.398592
| -0.000262
| 0.000303
| 1.692531
|
347.488592
| -0.000267
| 0.000309
| 1.696816
|
347.578592
| -0.000272
| 0.000315
| 1.703019
|
347.698592
| -0.000281
| 0.000322
| 1.71339
|
347.788592
| -0.000286
| 0.000328
| 1.71744
|
347.878592
| -0.000292
| 0.000334
| 1.720915
|
347.998592
| -0.0003
| 0.000342
| 1.725748
|
348.088592
| -0.000306
| 0.000346
| 1.728682
|
348.178592
| -0.000314
| 0.00035
| 1.730659
|
348.298592
| -0.000324
| 0.000353
| 1.741732
|
348.388592
| -0.000331
| 0.000354
| 1.749006
|
348.478592
| -0.000339
| 0.000354
| 1.755061
|
348.598592
| -0.00035
| 0.000356
| 1.76159
|
348.688592
| -0.000358
| 0.000358
| 1.774343
|
348.778592
| -0.000367
| 0.000361
| 1.78493
|
348.898592
| -0.000379
| 0.000364
| 1.789101
|
model: https://huggingface.co/ISeeTheFuture/GINE-0.5
train code: https://www.kaggle.com/code/edleedlee/gine-0-5
Dataset Summary
A time-series dataset for predicting the next GNSS position using past GNSS and IMU data. The data was collected from vehicle driving logs and is intended for navigation accuracy improvement and GNSS correction research.
Supported Tasks
- time-series-forecasting (GNSS correction / prediction)
Data Fields
timestamp(float64) — Time in seconds since the start of recording.latitude(float64) — GNSS latitude in decimal degrees.longitude(float64) — GNSS longitude in decimal degrees.altitude(float64) — GNSS altitude in meters.accelerometer_x(float64) — Linear acceleration along the X-axis (m/s²).accelerometer_y(float64) — Linear acceleration along the Y-axis (m/s²).accelerometer_z(float64) — Linear acceleration along the Z-axis (m/s²).gyroscope_x(float64) — Angular velocity around the X-axis (rad/s).gyroscope_y(float64) — Angular velocity around the Y-axis (rad/s).gyroscope_z(float64) — Angular velocity around the Z-axis (rad/s).compass(float64) — Magnetic heading in radians.target_latitude(float64) — Ground truth latitude for the next GNSS point.target_longitude(float64) — Ground truth longitude for the next GNSS point.target_altitude(float64) — Ground truth altitude for the next GNSS point.
Source & Collection
Details about the data collection equipment, driving environments, and sampling frequency should be specified here.
Licensing
This dataset is released under the CC BY 4.0 license. Attribution to the original author ISeeTheFuture is required.
- Downloads last month
- 124