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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 2 new columns ({'faa_mode', 'status_indicator'}) and 9 missing columns ({'age_dgps_data', 'geoid_separation_units', 'altitude', 'geoid_separation', 'reference_station_id', 'quality', 'hdop', 'altitude_units', 'number_of_satellites'}).
This happened while the csv dataset builder was generating data using
hf://datasets/neuralzome/GNSS_RTK_NMEA0183/path_1/GLL.csv (at revision db959e6b0a66212c469fb801e94158f75900f6b7)
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 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
timestamp: double
talker: string
latitude: double
latitude_direction: string
longitude: double
longitude_direction: string
utc_timestamp: double
status_indicator: string
faa_mode: string
checksum: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1494
to
{'timestamp': Value(dtype='float64', id=None), 'talker': Value(dtype='string', id=None), 'utc_timestamp': Value(dtype='float64', id=None), 'latitude': Value(dtype='float64', id=None), 'latitude_direction': Value(dtype='string', id=None), 'longitude': Value(dtype='float64', id=None), 'longitude_direction': Value(dtype='string', id=None), 'quality': Value(dtype='int64', id=None), 'number_of_satellites': Value(dtype='int64', id=None), 'hdop': Value(dtype='float64', id=None), 'altitude': Value(dtype='float64', id=None), 'altitude_units': Value(dtype='string', id=None), 'geoid_separation': Value(dtype='float64', id=None), 'geoid_separation_units': Value(dtype='string', id=None), 'age_dgps_data': Value(dtype='int64', id=None), 'reference_station_id': Value(dtype='int64', id=None), 'checksum': Value(dtype='string', 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 1417, 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 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 2 new columns ({'faa_mode', 'status_indicator'}) and 9 missing columns ({'age_dgps_data', 'geoid_separation_units', 'altitude', 'geoid_separation', 'reference_station_id', 'quality', 'hdop', 'altitude_units', 'number_of_satellites'}).
This happened while the csv dataset builder was generating data using
hf://datasets/neuralzome/GNSS_RTK_NMEA0183/path_1/GLL.csv (at revision db959e6b0a66212c469fb801e94158f75900f6b7)
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 | talker string | utc_timestamp float64 | latitude float64 | latitude_direction string | longitude float64 | longitude_direction string | quality int64 | number_of_satellites int64 | hdop float64 | altitude float64 | altitude_units string | geoid_separation float64 | geoid_separation_units string | age_dgps_data int64 | reference_station_id int64 | checksum string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,712,915,575.13675 | GN | 95,255 | 1,254.68639 | N | 7,738.71302 | E | 4 | 12 | 0.53 | 900.1 | M | -86.5 | M | 0 | 0 | 41 |
1,712,915,576.159565 | GN | 95,256 | 1,254.68639 | N | 7,738.71302 | E | 4 | 12 | 0.58 | 900.1 | M | -86.5 | M | 0 | 0 | 4A |
1,712,915,577.152818 | GN | 95,257 | 1,254.68639 | N | 7,738.71302 | E | 4 | 12 | 0.58 | 900.1 | M | -86.5 | M | 0 | 0 | 4A |
1,712,915,578.152163 | GN | 95,258 | 1,254.68654 | N | 7,738.71298 | E | 4 | 12 | 0.58 | 900.1 | M | -86.5 | M | 0 | 0 | 4E |
1,712,915,579.148501 | GN | 95,259 | 1,254.68675 | N | 7,738.71298 | E | 4 | 12 | 0.58 | 900.1 | M | -86.5 | M | 0 | 0 | 4F |
1,712,915,580.15161 | GN | 95,300 | 1,254.68691 | N | 7,738.71308 | E | 4 | 12 | 0.58 | 900.1 | M | -86.5 | M | 0 | 0 | 41 |
1,712,915,581.151427 | GN | 95,301 | 1,254.68703 | N | 7,738.71327 | E | 4 | 12 | 0.6 | 900.1 | M | -86.5 | M | 0 | 0 | 4B |
1,712,915,582.155681 | GN | 95,302 | 1,254.68703 | N | 7,738.7135 | E | 4 | 12 | 0.6 | 900.1 | M | -86.5 | M | 0 | 0 | 49 |
1,712,915,583.144862 | GN | 95,303 | 1,254.68681 | N | 7,738.7137 | E | 4 | 12 | 0.58 | 900 | M | -86.5 | M | 0 | 0 | 48 |
1,712,915,584.159617 | GN | 95,304 | 1,254.68661 | N | 7,738.71365 | E | 4 | 12 | 0.58 | 900.1 | M | -86.5 | M | 0 | 0 | 43 |
1,712,915,585.158689 | GN | 95,305 | 1,254.68654 | N | 7,738.71358 | E | 4 | 12 | 0.58 | 900 | M | -86.5 | M | 0 | 0 | 48 |
1,712,915,586.163852 | GN | 95,306 | 1,254.68634 | N | 7,738.71354 | E | 4 | 12 | 0.53 | 900.1 | M | -86.5 | M | 0 | 0 | 4A |
1,712,915,587.152255 | GN | 95,307 | 1,254.68624 | N | 7,738.71348 | E | 4 | 12 | 0.58 | 900.1 | M | -86.5 | M | 0 | 0 | 4E |
1,712,915,588.157313 | GN | 95,308 | 1,254.68624 | N | 7,738.71348 | E | 4 | 12 | 0.58 | 900.1 | M | -86.5 | M | 0 | 0 | 42 |
1,712,915,589.144043 | GN | 95,309 | 1,254.68624 | N | 7,738.71347 | E | 4 | 12 | 0.58 | 900.1 | M | -86.5 | M | 0 | 0 | 4D |
1,712,915,590.152189 | GN | 95,310 | 1,254.68616 | N | 7,738.71341 | E | 4 | 12 | 0.59 | 900.1 | M | -86.5 | M | 0 | 0 | 41 |
1,712,915,591.152957 | GN | 95,311 | 1,254.68606 | N | 7,738.71323 | E | 4 | 12 | 0.59 | 900.1 | M | -86.5 | M | 0 | 0 | 46 |
1,712,915,592.153906 | GN | 95,312 | 1,254.68603 | N | 7,738.71302 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 4F |
1,712,915,593.152163 | GN | 95,313 | 1,254.6861 | N | 7,738.71281 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 44 |
1,712,915,594.162084 | GN | 95,314 | 1,254.6862 | N | 7,738.7127 | E | 4 | 12 | 0.59 | 900.1 | M | -86.5 | M | 0 | 0 | 40 |
1,712,915,595.154854 | GN | 95,315 | 1,254.68636 | N | 7,738.7127 | E | 4 | 12 | 0.59 | 900.1 | M | -86.5 | M | 0 | 0 | 47 |
1,712,915,596.159479 | GN | 95,316 | 1,254.68653 | N | 7,738.71281 | E | 4 | 12 | 0.59 | 900.1 | M | -86.5 | M | 0 | 0 | 4B |
1,712,915,597.14988 | GN | 95,317 | 1,254.68634 | N | 7,738.71297 | E | 4 | 12 | 0.59 | 900.1 | M | -86.5 | M | 0 | 0 | 4F |
1,712,915,598.159175 | GN | 95,318 | 1,254.68608 | N | 7,738.71324 | E | 4 | 12 | 0.59 | 900.1 | M | -86.5 | M | 0 | 0 | 47 |
1,712,915,599.156633 | GN | 95,319 | 1,254.68583 | N | 7,738.7137 | E | 4 | 12 | 0.59 | 900 | M | -86.5 | M | 0 | 0 | 44 |
1,712,915,600.151963 | GN | 95,320 | 1,254.68584 | N | 7,738.71422 | E | 4 | 12 | 0.61 | 900 | M | -86.5 | M | 0 | 0 | 41 |
1,712,915,601.141891 | GN | 95,321 | 1,254.68602 | N | 7,738.71462 | E | 4 | 12 | 0.61 | 900 | M | -86.5 | M | 0 | 0 | 48 |
1,712,915,602.151893 | GN | 95,322 | 1,254.68626 | N | 7,738.71493 | E | 4 | 12 | 0.56 | 900 | M | -86.5 | M | 0 | 0 | 40 |
1,712,915,603.15973 | GN | 95,323 | 1,254.6864 | N | 7,738.71527 | E | 4 | 12 | 0.57 | 900 | M | -86.5 | M | 0 | 0 | 4F |
1,712,915,604.161554 | GN | 95,324 | 1,254.68621 | N | 7,738.71567 | E | 4 | 12 | 0.59 | 900 | M | -86.5 | M | 0 | 0 | 46 |
1,712,915,605.149313 | GN | 95,325 | 1,254.68614 | N | 7,738.71616 | E | 4 | 12 | 0.59 | 900 | M | -86.5 | M | 0 | 0 | 43 |
1,712,915,606.160044 | GN | 95,326 | 1,254.68619 | N | 7,738.71672 | E | 4 | 12 | 0.54 | 900 | M | -86.5 | M | 0 | 0 | 41 |
1,712,915,607.160203 | GN | 95,327 | 1,254.68637 | N | 7,738.71713 | E | 4 | 12 | 0.55 | 900 | M | -86.5 | M | 0 | 0 | 4A |
1,712,915,608.155118 | GN | 95,328 | 1,254.68663 | N | 7,738.71743 | E | 4 | 12 | 0.59 | 900 | M | -86.5 | M | 0 | 0 | 4F |
1,712,915,609.154197 | GN | 95,329 | 1,254.68683 | N | 7,738.71778 | E | 4 | 12 | 0.55 | 900 | M | -86.5 | M | 0 | 0 | 47 |
1,712,915,610.151087 | GN | 95,330 | 1,254.68696 | N | 7,738.71814 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 4F |
1,712,915,611.152647 | GN | 95,331 | 1,254.68691 | N | 7,738.71853 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 48 |
1,712,915,612.166769 | GN | 95,332 | 1,254.68674 | N | 7,738.71892 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 4E |
1,712,915,613.156421 | GN | 95,333 | 1,254.6865 | N | 7,738.71932 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 45 |
1,712,915,614.163925 | GN | 95,334 | 1,254.68631 | N | 7,738.71969 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 49 |
1,712,915,615.169735 | GN | 95,335 | 1,254.68613 | N | 7,738.72005 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4B |
1,712,915,616.160306 | GN | 95,336 | 1,254.68591 | N | 7,738.72037 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 41 |
1,712,915,617.152488 | GN | 95,337 | 1,254.68561 | N | 7,738.72061 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4E |
1,712,915,618.158824 | GN | 95,338 | 1,254.68526 | N | 7,738.72075 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 44 |
1,712,915,619.145564 | GN | 95,339 | 1,254.68484 | N | 7,738.72074 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4C |
1,712,915,620.165875 | GN | 95,340 | 1,254.68439 | N | 7,738.72063 | E | 4 | 12 | 0.52 | 900.2 | M | -86.5 | M | 0 | 0 | 43 |
1,712,915,621.149912 | GN | 95,341 | 1,254.68395 | N | 7,738.72051 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 44 |
1,712,915,622.165083 | GN | 95,342 | 1,254.68352 | N | 7,738.72043 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 48 |
1,712,915,623.152624 | GN | 95,343 | 1,254.68308 | N | 7,738.72034 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 42 |
1,712,915,624.157792 | GN | 95,344 | 1,254.68263 | N | 7,738.72029 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 40 |
1,712,915,625.154241 | GN | 95,345 | 1,254.68227 | N | 7,738.7203 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 48 |
1,712,915,626.160134 | GN | 95,346 | 1,254.68226 | N | 7,738.72029 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 46 |
1,712,915,627.151103 | GN | 95,347 | 1,254.68226 | N | 7,738.72029 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 42 |
1,712,915,628.150734 | GN | 95,348 | 1,254.68225 | N | 7,738.72031 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 46 |
1,712,915,629.153353 | GN | 95,349 | 1,254.68215 | N | 7,738.72033 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 44 |
1,712,915,630.164395 | GN | 95,350 | 1,254.68198 | N | 7,738.72029 | E | 4 | 12 | 0.52 | 900.2 | M | -86.5 | M | 0 | 0 | 41 |
1,712,915,631.149723 | GN | 95,351 | 1,254.6817 | N | 7,738.7202 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4D |
1,712,915,632.160765 | GN | 95,352 | 1,254.68135 | N | 7,738.72018 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 46 |
1,712,915,633.158276 | GN | 95,353 | 1,254.68091 | N | 7,738.72021 | E | 4 | 12 | 0.52 | 900.2 | M | -86.5 | M | 0 | 0 | 42 |
1,712,915,634.166577 | GN | 95,354 | 1,254.68048 | N | 7,738.72028 | E | 4 | 12 | 0.52 | 900.2 | M | -86.5 | M | 0 | 0 | 49 |
1,712,915,635.149044 | GN | 95,355 | 1,254.68004 | N | 7,738.72036 | E | 4 | 12 | 0.52 | 900.2 | M | -86.5 | M | 0 | 0 | 4D |
1,712,915,636.157909 | GN | 95,356 | 1,254.67957 | N | 7,738.72045 | E | 4 | 12 | 0.52 | 900.2 | M | -86.5 | M | 0 | 0 | 49 |
1,712,915,637.148767 | GN | 95,357 | 1,254.67914 | N | 7,738.72059 | E | 4 | 12 | 0.52 | 900.2 | M | -86.5 | M | 0 | 0 | 43 |
1,712,915,638.15694 | GN | 95,358 | 1,254.67874 | N | 7,738.72075 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 44 |
1,712,915,639.157561 | GN | 95,359 | 1,254.67833 | N | 7,738.7209 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4E |
1,712,915,640.161823 | GN | 95,400 | 1,254.67792 | N | 7,738.72104 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4C |
1,712,915,641.152318 | GN | 95,401 | 1,254.67755 | N | 7,738.7212 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 42 |
1,712,915,642.160647 | GN | 95,402 | 1,254.67717 | N | 7,738.7213 | E | 4 | 12 | 0.55 | 900.1 | M | -86.5 | M | 0 | 0 | 42 |
1,712,915,643.153499 | GN | 95,403 | 1,254.67678 | N | 7,738.72136 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4B |
1,712,915,644.164416 | GN | 95,404 | 1,254.67641 | N | 7,738.72135 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 47 |
1,712,915,645.159015 | GN | 95,405 | 1,254.67612 | N | 7,738.72112 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 46 |
1,712,915,646.158383 | GN | 95,406 | 1,254.67589 | N | 7,738.72081 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4E |
1,712,915,647.148835 | GN | 95,407 | 1,254.67586 | N | 7,738.72038 | E | 4 | 12 | 0.54 | 900.2 | M | -86.5 | M | 0 | 0 | 45 |
1,712,915,648.166713 | GN | 95,408 | 1,254.67584 | N | 7,738.71999 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4F |
1,712,915,649.15254 | GN | 95,409 | 1,254.67615 | N | 7,738.71979 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4A |
1,712,915,650.163546 | GN | 95,410 | 1,254.67655 | N | 7,738.71983 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 41 |
1,712,915,651.156086 | GN | 95,411 | 1,254.67694 | N | 7,738.72008 | E | 4 | 12 | 0.52 | 900.2 | M | -86.5 | M | 0 | 0 | 44 |
1,712,915,652.165794 | GN | 95,412 | 1,254.67739 | N | 7,738.72037 | E | 4 | 12 | 0.52 | 900.2 | M | -86.5 | M | 0 | 0 | 4C |
1,712,915,653.161086 | GN | 95,413 | 1,254.67806 | N | 7,738.72051 | E | 4 | 12 | 0.52 | 900.2 | M | -86.5 | M | 0 | 0 | 4C |
1,712,915,654.15592 | GN | 95,414 | 1,254.67865 | N | 7,738.72021 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 49 |
1,712,915,655.146576 | GN | 95,415 | 1,254.67891 | N | 7,738.71965 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 48 |
1,712,915,656.153776 | GN | 95,416 | 1,254.67886 | N | 7,738.71906 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4A |
1,712,915,657.161237 | GN | 95,417 | 1,254.67858 | N | 7,738.7186 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4A |
1,712,915,658.167472 | GN | 95,418 | 1,254.67822 | N | 7,738.71833 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 4F |
1,712,915,659.156033 | GN | 95,419 | 1,254.67777 | N | 7,738.71796 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 43 |
1,712,915,660.160985 | GN | 95,420 | 1,254.67728 | N | 7,738.71784 | E | 4 | 12 | 0.57 | 900.1 | M | -86.5 | M | 0 | 0 | 46 |
1,712,915,661.15677 | GN | 95,421 | 1,254.67678 | N | 7,738.71781 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 44 |
1,712,915,662.167668 | GN | 95,422 | 1,254.67629 | N | 7,738.71794 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 45 |
1,712,915,663.148979 | GN | 95,423 | 1,254.6759 | N | 7,738.71815 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 40 |
1,712,915,664.162216 | GN | 95,424 | 1,254.67551 | N | 7,738.71838 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 44 |
1,712,915,665.148619 | GN | 95,425 | 1,254.67507 | N | 7,738.71858 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 42 |
1,712,915,666.157341 | GN | 95,426 | 1,254.6747 | N | 7,738.71884 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 42 |
1,712,915,667.154985 | GN | 95,427 | 1,254.67435 | N | 7,738.71915 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 4A |
1,712,915,668.160081 | GN | 95,428 | 1,254.67402 | N | 7,738.7195 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 42 |
1,712,915,669.154058 | GN | 95,429 | 1,254.67378 | N | 7,738.71985 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 42 |
1,712,915,670.158057 | GN | 95,430 | 1,254.67356 | N | 7,738.7202 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 42 |
1,712,915,671.147218 | GN | 95,431 | 1,254.67328 | N | 7,738.72052 | E | 4 | 12 | 0.54 | 900.1 | M | -86.5 | M | 0 | 0 | 4D |
1,712,915,672.163068 | GN | 95,432 | 1,254.67298 | N | 7,738.72072 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 43 |
1,712,915,673.151455 | GN | 95,433 | 1,254.67259 | N | 7,738.72074 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 48 |
1,712,915,674.16129 | GN | 95,434 | 1,254.6722 | N | 7,738.72074 | E | 4 | 12 | 0.52 | 900.1 | M | -86.5 | M | 0 | 0 | 43 |
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Contains samples on GNSS RTK data stored in NMEA 0183 format
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