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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.