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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 ({'Unnamed: 0'})
This happened while the csv dataset builder was generating data using
hf://datasets/zrthxn/PANJAPAN/csv/116_custom.csv (at revision 1fa5048fc5d330e7cd43a9d146c7cace07d52904)
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 1869, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, 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
Unnamed: 0: int64
value: double
timestamp: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 604
to
{'value': Value(dtype='float64', id=None), 'timestamp': Value(dtype='int64', 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 1392, 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 1041, 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 999, 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 1740, 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 1871, 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 ({'Unnamed: 0'})
This happened while the csv dataset builder was generating data using
hf://datasets/zrthxn/PANJAPAN/csv/116_custom.csv (at revision 1fa5048fc5d330e7cd43a9d146c7cace07d52904)
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.
value
float64 | timestamp
int64 |
|---|---|
18.6279 | 1,588,685,400 |
18.3081 | 1,588,689,000 |
18.2151 | 1,588,692,600 |
17.9419 | 1,588,696,200 |
18.7384 | 1,588,699,800 |
18.6337 | 1,588,703,400 |
18.3953 | 1,588,707,000 |
18.343 | 1,588,710,600 |
17.8256 | 1,588,714,200 |
17.3256 | 1,588,717,800 |
17.2035 | 1,588,721,400 |
17.4826 | 1,588,725,000 |
17.1163 | 1,588,728,600 |
17.3256 | 1,588,732,200 |
17.2733 | 1,588,735,800 |
17.6105 | 1,588,739,400 |
17.6047 | 1,588,743,000 |
18.2965 | 1,588,746,600 |
17.9709 | 1,588,750,200 |
18.0523 | 1,588,753,800 |
17.9012 | 1,588,757,400 |
18.4709 | 1,588,761,000 |
17.9942 | 1,588,764,600 |
18.5291 | 1,588,768,200 |
18.7209 | 1,588,771,800 |
18.5465 | 1,588,775,400 |
18.0988 | 1,588,779,000 |
18.4942 | 1,588,782,600 |
18.2267 | 1,588,786,200 |
18.1512 | 1,588,789,800 |
17.9767 | 1,588,793,400 |
17.564 | 1,588,797,000 |
17.6686 | 1,588,800,600 |
16.7965 | 1,588,804,200 |
17.0407 | 1,588,807,800 |
16.907 | 1,588,811,400 |
16.7093 | 1,588,815,000 |
17.1279 | 1,588,818,600 |
16.9535 | 1,588,822,200 |
17.3256 | 1,588,825,800 |
17.2326 | 1,588,829,400 |
17.8081 | 1,588,833,000 |
17.7384 | 1,588,836,600 |
17.5523 | 1,588,840,200 |
17.6047 | 1,588,843,800 |
18.1628 | 1,588,847,400 |
17.7151 | 1,588,851,000 |
17.686 | 1,588,854,600 |
17.6919 | 1,588,858,200 |
18.1105 | 1,588,861,800 |
17.5581 | 1,588,865,400 |
17.7733 | 1,588,869,000 |
17.9826 | 1,588,872,600 |
18.0523 | 1,588,876,200 |
17.5233 | 1,588,879,800 |
17.843 | 1,588,883,400 |
17.1105 | 1,588,887,000 |
17.1512 | 1,588,890,600 |
16.6628 | 1,588,894,200 |
16.5698 | 1,588,897,800 |
16.5465 | 1,588,901,400 |
17.2907 | 1,588,905,000 |
17.186 | 1,588,908,600 |
16.657 | 1,588,912,200 |
16.7326 | 1,588,915,800 |
17.3721 | 1,588,919,400 |
17.3547 | 1,588,923,000 |
17.3488 | 1,588,926,600 |
17.3198 | 1,588,930,200 |
17.2093 | 1,588,933,800 |
17.8256 | 1,588,937,400 |
17.4709 | 1,588,941,000 |
17.9593 | 1,588,944,600 |
17.6919 | 1,588,948,200 |
17.3547 | 1,588,951,800 |
17.5058 | 1,588,955,400 |
18.2209 | 1,588,959,000 |
17.6395 | 1,588,962,600 |
17.686 | 1,588,966,200 |
17.7209 | 1,588,969,800 |
17.6279 | 1,588,973,400 |
16.686 | 1,588,977,000 |
16.6744 | 1,588,980,600 |
16.7791 | 1,588,984,200 |
17.0988 | 1,588,987,800 |
16.657 | 1,588,991,400 |
16.7733 | 1,588,995,000 |
16.5233 | 1,588,998,600 |
17.1453 | 1,589,002,200 |
17.1453 | 1,589,005,800 |
17.1047 | 1,589,009,400 |
17.2733 | 1,589,013,000 |
17.9651 | 1,589,016,600 |
17.4302 | 1,589,020,200 |
17.5291 | 1,589,023,800 |
17.6453 | 1,589,027,400 |
18 | 1,589,031,000 |
17.8895 | 1,589,034,600 |
17.6628 | 1,589,038,200 |
17.8081 | 1,589,041,800 |
End of preview.
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Timeseries forecasting dataset
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