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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 2db303936e23e61f3b8a72527d9171af2f7138a9)
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
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 1438, 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 1050, 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 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 2db303936e23e61f3b8a72527d9171af2f7138a9)
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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