oliverbuterbaugh/sand-st-model
Tabular Regression
•
Updated
•
9
Error code: DatasetGenerationError Exception: ParserError Message: Error tokenizing data. C error: Expected 11 fields in line 537584, saw 21 Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1854, in _prepare_split_single for _, table in generator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 190, in _generate_tables for batch_idx, df in enumerate(csv_file_reader): File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__ return self.get_chunk() File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk return self.read(nrows=size) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1923, in read ) = self._engine.read( # type: ignore[attr-defined] File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read chunks = self._reader.read_low_memory(nrows) File "parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory File "parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status File "parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error pandas.errors.ParserError: Error tokenizing data. C error: Expected 11 fields in line 537584, saw 21 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 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 1897, in _prepare_split_single raise DatasetGenerationError("An error occurred while generating the dataset") from e datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset
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.
carpark
int64 | spaces
int64 | prcp
float64 | wspd
float64 | wdir
float64 | since_holiday
int64 | until_holiday
int64 | hour
int64 | minute
int64 | month
int64 | weekday
int64 |
---|---|---|---|---|---|---|---|---|---|---|
2 | 47 | 0 | 18.4 | 250 | 34 | 53 | 23 | 36 | 2 | 6 |
3 | 335 | 0 | 18.4 | 250 | 34 | 53 | 23 | 36 | 2 | 6 |
4 | 438 | 0 | 18.4 | 250 | 34 | 53 | 23 | 36 | 2 | 6 |
5 | 712 | 0 | 18.4 | 250 | 34 | 53 | 23 | 36 | 2 | 6 |
6 | 458 | 0 | 18.4 | 250 | 34 | 53 | 23 | 36 | 2 | 6 |
1 | 308 | 0 | 18.4 | 250 | 34 | 53 | 23 | 41 | 2 | 6 |
2 | 47 | 0 | 18.4 | 250 | 34 | 53 | 23 | 41 | 2 | 6 |
3 | 335 | 0 | 18.4 | 250 | 34 | 53 | 23 | 41 | 2 | 6 |
4 | 439 | 0 | 18.4 | 250 | 34 | 53 | 23 | 41 | 2 | 6 |
5 | 717 | 0 | 18.4 | 250 | 34 | 53 | 23 | 41 | 2 | 6 |
6 | 458 | 0 | 18.4 | 250 | 34 | 53 | 23 | 41 | 2 | 6 |
1 | 308 | 0 | 18.4 | 250 | 34 | 53 | 23 | 46 | 2 | 6 |
2 | 47 | 0 | 18.4 | 250 | 34 | 53 | 23 | 46 | 2 | 6 |
3 | 335 | 0 | 18.4 | 250 | 34 | 53 | 23 | 46 | 2 | 6 |
4 | 439 | 0 | 18.4 | 250 | 34 | 53 | 23 | 46 | 2 | 6 |
5 | 717 | 0 | 18.4 | 250 | 34 | 53 | 23 | 46 | 2 | 6 |
6 | 458 | 0 | 18.4 | 250 | 34 | 53 | 23 | 46 | 2 | 6 |
1 | 308 | 0 | 18.4 | 250 | 34 | 53 | 23 | 51 | 2 | 6 |
2 | 47 | 0 | 18.4 | 250 | 34 | 53 | 23 | 51 | 2 | 6 |
3 | 335 | 0 | 18.4 | 250 | 34 | 53 | 23 | 51 | 2 | 6 |
4 | 439 | 0 | 18.4 | 250 | 34 | 53 | 23 | 51 | 2 | 6 |
5 | 717 | 0 | 18.4 | 250 | 34 | 53 | 23 | 51 | 2 | 6 |
6 | 458 | 0 | 18.4 | 250 | 34 | 53 | 23 | 51 | 2 | 6 |
1 | 308 | 0 | 18.4 | 250 | 34 | 53 | 23 | 56 | 2 | 6 |
2 | 48 | 0 | 18.4 | 250 | 34 | 53 | 23 | 56 | 2 | 6 |
3 | 334 | 0 | 18.4 | 250 | 34 | 53 | 23 | 56 | 2 | 6 |
4 | 439 | 0 | 18.4 | 250 | 34 | 53 | 23 | 56 | 2 | 6 |
5 | 711 | 0 | 18.4 | 250 | 34 | 53 | 23 | 56 | 2 | 6 |
6 | 458 | 0 | 18.4 | 250 | 34 | 53 | 23 | 56 | 2 | 6 |
1 | 308 | 0 | 18.4 | 250 | 35 | 52 | 0 | 1 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 1 | 2 | 0 |
3 | 335 | 0 | 18.4 | 250 | 35 | 52 | 0 | 1 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 1 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 1 | 2 | 0 |
6 | 458 | 0 | 18.4 | 250 | 35 | 52 | 0 | 1 | 2 | 0 |
1 | 308 | 0 | 18.4 | 250 | 35 | 52 | 0 | 6 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 6 | 2 | 0 |
3 | 335 | 0 | 18.4 | 250 | 35 | 52 | 0 | 6 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 6 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 6 | 2 | 0 |
6 | 458 | 0 | 18.4 | 250 | 35 | 52 | 0 | 6 | 2 | 0 |
1 | 308 | 0 | 18.4 | 250 | 35 | 52 | 0 | 11 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 11 | 2 | 0 |
3 | 335 | 0 | 18.4 | 250 | 35 | 52 | 0 | 11 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 11 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 11 | 2 | 0 |
6 | 458 | 0 | 18.4 | 250 | 35 | 52 | 0 | 11 | 2 | 0 |
1 | 308 | 0 | 18.4 | 250 | 35 | 52 | 0 | 16 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 16 | 2 | 0 |
3 | 336 | 0 | 18.4 | 250 | 35 | 52 | 0 | 16 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 16 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 16 | 2 | 0 |
6 | 458 | 0 | 18.4 | 250 | 35 | 52 | 0 | 16 | 2 | 0 |
1 | 307 | 0 | 18.4 | 250 | 35 | 52 | 0 | 21 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 21 | 2 | 0 |
3 | 336 | 0 | 18.4 | 250 | 35 | 52 | 0 | 21 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 21 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 21 | 2 | 0 |
6 | 458 | 0 | 18.4 | 250 | 35 | 52 | 0 | 21 | 2 | 0 |
1 | 307 | 0 | 18.4 | 250 | 35 | 52 | 0 | 26 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 26 | 2 | 0 |
3 | 337 | 0 | 18.4 | 250 | 35 | 52 | 0 | 26 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 26 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 26 | 2 | 0 |
6 | 458 | 0 | 18.4 | 250 | 35 | 52 | 0 | 26 | 2 | 0 |
1 | 307 | 0 | 18.4 | 250 | 35 | 52 | 0 | 31 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 31 | 2 | 0 |
3 | 337 | 0 | 18.4 | 250 | 35 | 52 | 0 | 31 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 31 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 31 | 2 | 0 |
6 | 458 | 0 | 18.4 | 250 | 35 | 52 | 0 | 31 | 2 | 0 |
1 | 307 | 0 | 18.4 | 250 | 35 | 52 | 0 | 36 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 36 | 2 | 0 |
3 | 337 | 0 | 18.4 | 250 | 35 | 52 | 0 | 36 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 36 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 36 | 2 | 0 |
6 | 458 | 0 | 18.4 | 250 | 35 | 52 | 0 | 36 | 2 | 0 |
6 | 458 | 0 | 18.4 | 250 | 35 | 52 | 0 | 41 | 2 | 0 |
1 | 306 | 0 | 18.4 | 250 | 35 | 52 | 0 | 41 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 41 | 2 | 0 |
3 | 337 | 0 | 18.4 | 250 | 35 | 52 | 0 | 41 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 41 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 41 | 2 | 0 |
1 | 306 | 0 | 18.4 | 250 | 35 | 52 | 0 | 46 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 46 | 2 | 0 |
3 | 337 | 0 | 18.4 | 250 | 35 | 52 | 0 | 46 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 46 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 46 | 2 | 0 |
6 | 458 | 0 | 18.4 | 250 | 35 | 52 | 0 | 46 | 2 | 0 |
6 | 458 | 0 | 18.4 | 250 | 35 | 52 | 0 | 51 | 2 | 0 |
1 | 307 | 0 | 18.4 | 250 | 35 | 52 | 0 | 51 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 51 | 2 | 0 |
3 | 337 | 0 | 18.4 | 250 | 35 | 52 | 0 | 51 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 51 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 51 | 2 | 0 |
1 | 307 | 0 | 18.4 | 250 | 35 | 52 | 0 | 56 | 2 | 0 |
2 | 48 | 0 | 18.4 | 250 | 35 | 52 | 0 | 56 | 2 | 0 |
3 | 337 | 0 | 18.4 | 250 | 35 | 52 | 0 | 56 | 2 | 0 |
4 | 439 | 0 | 18.4 | 250 | 35 | 52 | 0 | 56 | 2 | 0 |
5 | 712 | 0 | 18.4 | 250 | 35 | 52 | 0 | 56 | 2 | 0 |
Spaces available in seven St. Helier carparks recorded with temporal and weather data, for the purpose of training tabular regression models.
Dataset covers 04-02-2024 23:36:16 onwards, updated everyday at 23:59 UTC.