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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 ({'Interest'}) and 1 missing columns ({'Price'}).
This happened while the csv dataset builder was generating data using
hf://datasets/RichardVR/Copper_Google_Trend_Analysis/Copper Google Trend Analysis Weekly /Demand Factors/5G infrastructure.csv (at revision db46f0c34392b11f7678e49ffb7bf927851a70ba)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Date: string
Interest: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 482
to
{'Date': Value('string'), 'Price': Value('float64')}
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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1833, 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 ({'Interest'}) and 1 missing columns ({'Price'}).
This happened while the csv dataset builder was generating data using
hf://datasets/RichardVR/Copper_Google_Trend_Analysis/Copper Google Trend Analysis Weekly /Demand Factors/5G infrastructure.csv (at revision db46f0c34392b11f7678e49ffb7bf927851a70ba)
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.
Date string | Price float64 |
|---|---|
6/28/20 | 2.7485 |
7/5/20 | 2.8975 |
7/12/20 | 2.9045 |
7/19/20 | 2.8925 |
7/26/20 | 2.868 |
8/2/20 | 2.7925 |
8/9/20 | 2.859 |
8/16/20 | 2.9175 |
8/23/20 | 3.0195 |
8/30/20 | 3.062 |
9/6/20 | 3.0395 |
9/13/20 | 3.116 |
9/20/20 | 2.971 |
9/27/20 | 2.9775 |
10/4/20 | 3.0825 |
10/11/20 | 3.0675 |
10/18/20 | 3.129 |
10/25/20 | 3.0475 |
11/1/20 | 3.154 |
11/8/20 | 3.178 |
11/15/20 | 3.291 |
11/22/20 | 3.4175 |
11/29/20 | 3.5245 |
12/6/20 | 3.528 |
12/13/20 | 3.6325 |
12/20/20 | 3.5625 |
12/27/20 | 3.519 |
1/3/21 | 3.6735 |
1/10/21 | 3.602 |
1/17/21 | 3.626 |
1/24/21 | 3.556 |
1/31/21 | 3.626 |
2/7/21 | 3.788 |
2/14/21 | 4.074 |
2/21/21 | 4.0925 |
2/28/21 | 4.0755 |
3/7/21 | 4.14 |
3/14/21 | 4.113 |
3/21/21 | 4.068 |
3/28/21 | 3.9905 |
4/4/21 | 4.04 |
4/11/21 | 4.168 |
4/18/21 | 4.336 |
4/25/21 | 4.468 |
5/2/21 | 4.7485 |
5/9/21 | 4.6545 |
5/16/21 | 4.481 |
5/23/21 | 4.6775 |
5/30/21 | 4.529 |
6/6/21 | 4.5375 |
6/13/21 | 4.157 |
6/20/21 | 4.292 |
6/27/21 | 4.276 |
7/4/21 | 4.3455 |
7/11/21 | 4.323 |
7/18/21 | 4.4 |
7/25/21 | 4.4825 |
8/1/21 | 4.348 |
8/8/21 | 4.3915 |
8/15/21 | 4.137 |
8/22/21 | 4.3185 |
8/29/21 | 4.334 |
9/5/21 | 4.452 |
9/12/21 | 4.246 |
9/19/21 | 4.2855 |
9/26/21 | 4.1885 |
10/3/21 | 4.2755 |
10/10/21 | 4.7295 |
10/17/21 | 4.498 |
10/24/21 | 4.368 |
10/31/21 | 4.343 |
11/7/21 | 4.4495 |
11/14/21 | 4.4075 |
11/21/21 | 4.2835 |
11/28/21 | 4.267 |
12/5/21 | 4.2865 |
12/12/21 | 4.295 |
12/19/21 | 4.3925 |
12/26/21 | 4.4635 |
1/2/22 | 4.41 |
1/9/22 | 4.4205 |
1/16/22 | 4.524 |
1/23/22 | 4.31 |
1/30/22 | 4.4875 |
2/6/22 | 4.506 |
2/13/22 | 4.5195 |
2/20/22 | 4.485 |
2/27/22 | 4.9375 |
3/6/22 | 4.6255 |
3/13/22 | 4.7395 |
3/20/22 | 4.6985 |
3/27/22 | 4.6885 |
4/3/22 | 4.725 |
4/10/22 | 4.7235 |
4/17/22 | 4.5815 |
4/24/22 | 4.4085 |
5/1/22 | 4.267 |
5/8/22 | 4.175 |
5/15/22 | 4.275 |
5/22/22 | 4.3065 |
End of preview.
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