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The dataset generation failed
Error code: DatasetGenerationError Exception: UnicodeDecodeError Message: 'utf-8' codec can't decode byte 0x93 in position 0: invalid start byte Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1995, 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 193, in _generate_tables csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 75, in wrapper return function(*args, download_config=download_config, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1491, in xpandas_read_csv return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv return _read(filepath_or_buffer, kwds) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 620, in _read parser = TextFileReader(filepath_or_buffer, **kwds) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__ self._engine = self._make_engine(f, self.engine) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine return mapping[engine](f, **self.options) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__ self._reader = parsers.TextReader(src, **kwds) File "parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__ File "parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header 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 2053, in pandas._libs.parsers.raise_parser_error UnicodeDecodeError: 'utf-8' codec can't decode byte 0x93 in position 0: invalid start byte 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 1529, 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 1154, 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 2038, 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
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date
string | HUFL
float64 | HULL
float64 | MUFL
float64 | MULL
float64 | LUFL
float64 | LULL
float64 | OT
float64 |
---|---|---|---|---|---|---|---|
2016/7/1 00:00 | 5.827 | 2.009 | 1.599 | 0.462 | 4.203 | 1.34 | 30.531 |
2016/7/1 01:00 | 5.693 | 2.076 | 1.492 | 0.426 | 4.142 | 1.371 | 27.787001 |
2016/7/1 02:00 | 5.157 | 1.741 | 1.279 | 0.355 | 3.777 | 1.218 | 27.787001 |
2016/7/1 03:00 | 5.09 | 1.942 | 1.279 | 0.391 | 3.807 | 1.279 | 25.044001 |
2016/7/1 04:00 | 5.358 | 1.942 | 1.492 | 0.462 | 3.868 | 1.279 | 21.948 |
2016/7/1 05:00 | 5.626 | 2.143 | 1.528 | 0.533 | 4.051 | 1.371 | 21.174 |
2016/7/1 06:00 | 7.167 | 2.947 | 2.132 | 0.782 | 5.026 | 1.858 | 22.792 |
2016/7/1 07:00 | 7.435 | 3.282 | 2.31 | 1.031 | 5.087 | 2.224 | 23.143999 |
2016/7/1 08:00 | 5.559 | 3.014 | 2.452 | 1.173 | 2.955 | 1.432 | 21.667 |
2016/7/1 09:00 | 4.555 | 2.545 | 1.919 | 0.817 | 2.68 | 1.371 | 17.445999 |
2016/7/1 10:00 | 4.957 | 2.545 | 1.99 | 0.853 | 2.955 | 1.492 | 19.979 |
2016/7/1 11:00 | 5.76 | 2.545 | 2.203 | 0.853 | 3.442 | 1.492 | 20.118999 |
2016/7/1 12:00 | 4.689 | 2.545 | 1.812 | 0.853 | 2.833 | 1.523 | 19.205 |
2016/7/1 13:00 | 4.689 | 2.679 | 1.777 | 1.244 | 3.107 | 1.614 | 18.572001 |
2016/7/1 14:00 | 5.09 | 2.947 | 2.452 | 1.35 | 2.559 | 1.432 | 19.556 |
2016/7/1 15:00 | 5.09 | 3.148 | 2.487 | 1.35 | 2.589 | 1.523 | 17.305 |
2016/7/1 16:00 | 4.22 | 2.411 | 1.706 | 0.782 | 2.619 | 1.492 | 19.486 |
2016/7/1 17:00 | 4.756 | 2.344 | 1.635 | 0.711 | 3.076 | 1.492 | 19.134001 |
2016/7/1 18:00 | 5.626 | 2.88 | 2.523 | 1.208 | 3.076 | 1.492 | 20.681999 |
2016/7/1 19:00 | 5.492 | 3.014 | 2.452 | 1.208 | 3.015 | 1.553 | 18.712 |
2016/7/1 20:00 | 5.358 | 3.014 | 2.452 | 1.208 | 2.863 | 1.523 | 17.868 |
2016/7/1 21:00 | 5.09 | 2.947 | 2.381 | 1.208 | 2.68 | 1.523 | 18.009001 |
2016/7/1 22:00 | 4.823 | 2.947 | 2.203 | 1.173 | 2.619 | 1.523 | 18.009001 |
2016/7/1 23:00 | 4.622 | 2.88 | 2.132 | 1.137 | 2.467 | 1.492 | 19.768 |
2016/7/2 00:00 | 5.224 | 3.081 | 2.701 | 1.315 | 2.437 | 1.523 | 21.104 |
2016/7/2 01:00 | 5.157 | 3.014 | 2.878 | 1.35 | 2.345 | 1.432 | 19.697001 |
2016/7/2 02:00 | 5.157 | 3.148 | 2.878 | 1.492 | 2.284 | 1.432 | 20.049 |
2016/7/2 03:00 | 5.157 | 3.081 | 2.914 | 1.492 | 2.193 | 1.401 | 20.752001 |
2016/7/2 04:00 | 4.555 | 3.081 | 2.452 | 1.492 | 2.193 | 1.401 | 21.385 |
2016/7/2 05:00 | 5.425 | 3.282 | 3.092 | 1.706 | 2.437 | 1.462 | 22.23 |
2016/7/2 06:00 | 5.492 | 3.282 | 2.523 | 1.492 | 2.985 | 1.462 | 20.26 |
2016/7/2 07:00 | 5.626 | 3.215 | 2.487 | 1.492 | 3.076 | 1.523 | 21.104 |
2016/7/2 08:00 | 5.559 | 3.282 | 2.594 | 1.67 | 2.924 | 1.523 | 20.612 |
2016/7/2 09:00 | 5.224 | 3.215 | 2.559 | 1.564 | 2.68 | 1.462 | 18.361 |
2016/7/2 10:00 | 9.913 | 4.957 | 6.645 | 3.305 | 3.046 | 1.553 | 20.962999 |
2016/7/2 11:00 | 11.788 | 5.425 | 8.173 | 2.523 | 3.686 | 1.675 | 19.416 |
2016/7/2 12:00 | 9.645 | 4.957 | 6.752 | 2.132 | 3.107 | 1.828 | 20.823 |
2016/7/2 13:00 | 10.382 | 5.76 | 7.462 | 2.559 | 2.985 | 1.767 | 20.190001 |
2016/7/2 14:00 | 8.774 | 4.689 | 6.112 | 2.025 | 2.894 | 1.919 | 21.315001 |
2016/7/2 15:00 | 10.449 | 5.157 | 6.965 | 2.452 | 2.772 | 1.736 | 22.018999 |
2016/7/2 16:00 | 9.846 | 4.823 | 7.036 | 2.665 | 2.894 | 1.767 | 20.681999 |
2016/7/2 17:00 | 9.913 | 4.823 | 6.894 | 2.416 | 3.229 | 1.736 | 25.466 |
2016/7/2 18:00 | 10.65 | 4.689 | 6.929 | 2.452 | 3.381 | 1.797 | 25.888 |
2016/7/2 19:00 | 10.114 | 4.354 | 6.645 | 1.812 | 3.107 | 1.736 | 27.857 |
2016/7/2 20:00 | 9.98 | 4.153 | 6.574 | 1.954 | 3.411 | 1.767 | 27.295 |
2016/7/2 21:00 | 9.31 | 4.22 | 6.005 | 2.132 | 3.229 | 1.858 | 22.23 |
2016/7/2 22:00 | 9.444 | 4.622 | 6.965 | 2.168 | 2.955 | 1.858 | 21.948 |
2016/7/2 23:00 | 9.444 | 4.287 | 6.823 | 2.559 | 2.589 | 1.736 | 27.295 |
2016/7/3 00:00 | 10.382 | 5.425 | 7.604 | 2.31 | 2.955 | 1.675 | 29.334999 |
2016/7/3 01:00 | 9.779 | 5.224 | 6.716 | 2.843 | 2.65 | 1.675 | 26.028 |
2016/7/3 02:00 | 10.382 | 4.689 | 7.32 | 2.203 | 2.985 | 1.858 | 24.34 |
2016/7/3 03:00 | 9.779 | 4.153 | 6.823 | 1.99 | 2.528 | 1.675 | 26.450001 |
2016/7/3 04:00 | 10.717 | 4.756 | 7.356 | 2.807 | 2.65 | 1.797 | 25.958 |
2016/7/3 05:00 | 10.315 | 4.689 | 7.391 | 2.452 | 2.924 | 1.858 | 24.059 |
2016/7/3 06:00 | 12.592 | 5.224 | 8.671 | 2.203 | 3.716 | 1.949 | 25.325001 |
2016/7/3 07:00 | 11.119 | 4.622 | 7.889 | 2.843 | 3.625 | 1.919 | 23.636999 |
2016/7/3 08:00 | 10.65 | 4.421 | 7.036 | 2.025 | 3.594 | 1.919 | 26.379999 |
2016/7/3 09:00 | 10.047 | 4.22 | 6.432 | 1.67 | 3.686 | 1.949 | 27.365 |
2016/7/3 10:00 | 11.721 | 5.09 | 7.889 | 2.559 | 3.564 | 1.858 | 28.068001 |
2016/7/3 11:00 | 12.123 | 5.358 | 8.066 | 2.487 | 4.082 | 1.919 | 29.475 |
2016/7/3 12:00 | 9.98 | 5.023 | 6.858 | 2.559 | 3.29 | 1.858 | 26.802 |
2016/7/3 13:00 | 9.243 | 4.957 | 6.29 | 2.63 | 3.137 | 1.888 | 29.968 |
2016/7/3 14:00 | 10.181 | 5.425 | 7.178 | 3.02 | 3.076 | 1.888 | 30.389999 |
2016/7/3 15:00 | 9.645 | 5.425 | 7.107 | 2.665 | 3.015 | 1.828 | 31.164 |
2016/7/3 16:00 | 9.779 | 4.89 | 6.503 | 2.985 | 3.076 | 2.01 | 29.757 |
2016/7/3 17:00 | 11.119 | 5.157 | 7.32 | 2.914 | 3.807 | 1.98 | 32.289001 |
2016/7/3 18:00 | 11.052 | 4.957 | 7.391 | 2.523 | 3.686 | 1.98 | 31.938 |
2016/7/3 19:00 | 10.784 | 4.89 | 7.214 | 2.487 | 3.594 | 1.888 | 28.561001 |
2016/7/3 20:00 | 11.186 | 4.89 | 7.178 | 2.345 | 3.96 | 1.919 | 21.525999 |
2016/7/3 21:00 | 10.449 | 4.89 | 6.61 | 2.31 | 3.807 | 2.041 | 22.23 |
2016/7/3 22:00 | 9.578 | 5.76 | 6.787 | 3.127 | 3.259 | 1.888 | 19.416 |
2016/7/3 23:00 | 9.31 | 5.76 | 6.61 | 3.056 | 3.168 | 1.888 | 18.572001 |
2016/7/4 00:00 | 9.913 | 5.894 | 6.254 | 2.63 | 3.015 | 1.858 | 21.667 |
2016/7/4 01:00 | 8.975 | 4.957 | 6.29 | 2.665 | 2.863 | 1.828 | 25.535999 |
2016/7/4 02:00 | 8.64 | 4.823 | 6.148 | 2.594 | 2.924 | 1.828 | 27.857 |
2016/7/4 03:00 | 9.176 | 5.492 | 5.579 | 2.381 | 2.863 | 1.858 | 27.928 |
2016/7/4 04:00 | 9.109 | 4.823 | 5.65 | 2.523 | 2.772 | 1.797 | 24.621 |
2016/7/4 05:00 | 9.846 | 5.559 | 5.97 | 2.949 | 3.107 | 1.888 | 23.848 |
2016/7/4 06:00 | 11.588 | 5.425 | 7.391 | 2.807 | 3.807 | 1.98 | 23.073999 |
2016/7/4 07:00 | 11.788 | 6.095 | 7.214 | 2.985 | 3.899 | 2.041 | 22.511 |
2016/7/4 08:00 | 10.583 | 5.961 | 7.143 | 2.914 | 3.655 | 2.071 | 21.667 |
2016/7/4 09:00 | 11.588 | 6.296 | 7.569 | 3.056 | 3.472 | 2.01 | 25.395 |
2016/7/4 10:00 | 11.922 | 6.229 | 7.711 | 3.056 | 3.746 | 1.949 | 25.184 |
2016/7/4 11:00 | 12.324 | 5.559 | 8.422 | 3.234 | 4.203 | 1.98 | 29.546 |
2016/7/4 12:00 | 10.382 | 5.894 | 6.858 | 2.63 | 3.564 | 1.949 | 29.475 |
2016/7/4 13:00 | 10.047 | 5.425 | 6.752 | 3.02 | 3.32 | 1.949 | 29.264 |
2016/7/4 14:00 | 10.516 | 6.028 | 7.107 | 3.376 | 3.137 | 1.919 | 30.952999 |
2016/7/4 15:00 | 10.717 | 6.095 | 6.787 | 3.02 | 3.168 | 2.01 | 31.726 |
2016/7/4 16:00 | 9.98 | 5.023 | 6.503 | 2.559 | 3.442 | 2.041 | 33.132999 |
2016/7/4 17:00 | 11.32 | 5.09 | 7.356 | 2.452 | 3.868 | 2.041 | 28.983 |
2016/7/4 18:00 | 11.387 | 4.957 | 7.356 | 2.452 | 4.295 | 2.193 | 28.983 |
2016/7/4 19:00 | 9.377 | 3.885 | 6.894 | 2.239 | 2.467 | 1.188 | 31.726 |
2016/7/4 20:00 | 10.114 | 4.086 | 7.143 | 2.239 | 2.955 | 1.462 | 25.184 |
2016/7/4 21:00 | 10.382 | 4.823 | 6.894 | 2.31 | 3.503 | 2.01 | 30.531 |
2016/7/4 22:00 | 9.645 | 4.89 | 6.61 | 1.919 | 3.259 | 1.919 | 27.646 |
2016/7/4 23:00 | 12.726 | 6.497 | 9.346 | 3.482 | 3.168 | 1.98 | 25.466 |
2016/7/5 00:00 | 11.989 | 5.626 | 8.777 | 2.949 | 3.198 | 1.98 | 25.958 |
2016/7/5 01:00 | 12.525 | 6.296 | 8.955 | 3.163 | 3.137 | 2.01 | 25.958 |
2016/7/5 02:00 | 12.324 | 6.296 | 8.813 | 3.376 | 2.985 | 1.919 | 26.028 |
2016/7/5 03:00 | 10.717 | 5.425 | 8.066 | 2.878 | 2.833 | 1.858 | 28.913 |
End of preview.