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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 3 new columns ({'Expiry', 'Vols', 'Strike'}) and 2 missing columns ({'Swap Rate', 'Start Date'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Carzit/UBS-RAN/market-data-swaption-vols.csv (at revision 74ab6fdb0f23a87edebb155013b074ad410864c8)
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 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Date: string
Expiry: string
Tenor: string
Strike: string
Vols: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 814
to
{'Date': Value(dtype='string', id=None), 'Start Date': Value(dtype='string', id=None), 'Tenor': Value(dtype='string', id=None), 'Swap Rate': Value(dtype='float64', 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 1542, 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 1156, 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 2013, 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 3 new columns ({'Expiry', 'Vols', 'Strike'}) and 2 missing columns ({'Swap Rate', 'Start Date'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Carzit/UBS-RAN/market-data-swaption-vols.csv (at revision 74ab6fdb0f23a87edebb155013b074ad410864c8)
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 | Start Date
string | Tenor
string | Swap Rate
float64 |
|---|---|---|---|
2021-01-13
|
2022-01-13
|
10y
| 1.081333
|
2021-01-13
|
2022-01-13
|
15y
| 1.26596
|
2021-01-13
|
2022-01-13
|
18M
| 0.221625
|
2021-01-13
|
2022-01-13
|
1y
| 0.195474
|
2021-01-13
|
2022-01-13
|
2y
| 0.27937
|
2021-01-13
|
2022-01-13
|
3y
| 0.404284
|
2021-01-13
|
2022-01-13
|
4y
| 0.536341
|
2021-01-13
|
2022-01-13
|
5y
| 0.664396
|
2021-01-13
|
2022-01-13
|
8y
| 0.950975
|
2021-01-13
|
2022-07-13
|
10y
| 1.155757
|
2021-01-13
|
2022-07-13
|
15y
| 1.315969
|
2021-01-13
|
2022-07-13
|
18M
| 0.310738
|
2021-01-13
|
2022-07-13
|
1y
| 0.240025
|
2021-01-13
|
2022-07-13
|
2y
| 0.378942
|
2021-01-13
|
2022-07-13
|
3y
| 0.51683
|
2021-01-13
|
2022-07-13
|
4y
| 0.65325
|
2021-01-13
|
2022-07-13
|
5y
| 0.775163
|
2021-01-13
|
2022-07-13
|
8y
| 1.038092
|
2021-01-13
|
2023-01-13
|
10y
| 1.230669
|
2021-01-13
|
2023-01-13
|
15y
| 1.366393
|
2021-01-13
|
2023-01-13
|
18M
| 0.43646
|
2021-01-13
|
2023-01-13
|
1y
| 0.362688
|
2021-01-13
|
2023-01-13
|
2y
| 0.509029
|
2021-01-13
|
2023-01-13
|
3y
| 0.650651
|
2021-01-13
|
2023-01-13
|
4y
| 0.782766
|
2021-01-13
|
2023-01-13
|
5y
| 0.89236
|
2021-01-13
|
2023-01-13
|
8y
| 1.127124
|
2021-01-13
|
2024-01-15
|
10y
| 1.365134
|
2021-01-13
|
2024-01-15
|
15y
| 1.456788
|
2021-01-13
|
2024-01-15
|
18M
| 0.726273
|
2021-01-13
|
2024-01-15
|
1y
| 0.658901
|
2021-01-13
|
2024-01-15
|
2y
| 0.79806
|
2021-01-13
|
2024-01-15
|
3y
| 0.926464
|
2021-01-13
|
2024-01-15
|
4y
| 1.02944
|
2021-01-13
|
2024-01-15
|
5y
| 1.112759
|
2021-01-13
|
2024-01-15
|
8y
| 1.291164
|
2021-01-13
|
2025-01-13
|
10y
| 1.467907
|
2021-01-13
|
2025-01-13
|
15y
| 1.524979
|
2021-01-13
|
2025-01-13
|
18M
| 0.998679
|
2021-01-13
|
2025-01-13
|
1y
| 0.936284
|
2021-01-13
|
2025-01-13
|
2y
| 1.060054
|
2021-01-13
|
2025-01-13
|
3y
| 1.152556
|
2021-01-13
|
2025-01-13
|
4y
| 1.227667
|
2021-01-13
|
2025-01-13
|
5y
| 1.288969
|
2021-01-13
|
2025-01-13
|
8y
| 1.420018
|
2021-01-13
|
2026-01-13
|
10y
| 1.543005
|
2021-01-13
|
2026-01-13
|
15y
| 1.573561
|
2021-01-13
|
2026-01-13
|
18M
| 1.222653
|
2021-01-13
|
2026-01-13
|
1y
| 1.184946
|
2021-01-13
|
2026-01-13
|
2y
| 1.262265
|
2021-01-13
|
2026-01-13
|
3y
| 1.326514
|
2021-01-13
|
2026-01-13
|
4y
| 1.379434
|
2021-01-13
|
2026-01-13
|
5y
| 1.424163
|
2021-01-13
|
2026-01-13
|
8y
| 1.51423
|
2021-01-13
|
2029-01-15
|
10y
| 1.646184
|
2021-01-13
|
2029-01-15
|
15y
| 1.627146
|
2021-01-13
|
2029-01-15
|
18M
| 1.556336
|
2021-01-13
|
2029-01-15
|
1y
| 1.543471
|
2021-01-13
|
2029-01-15
|
2y
| 1.576397
|
2021-01-13
|
2029-01-15
|
3y
| 1.603315
|
2021-01-13
|
2029-01-15
|
4y
| 1.62321
|
2021-01-13
|
2029-01-15
|
5y
| 1.633422
|
2021-01-13
|
2029-01-15
|
8y
| 1.645294
|
2021-01-13
|
2031-01-13
|
10y
| 1.656352
|
2021-01-13
|
2031-01-13
|
15y
| 1.622206
|
2021-01-13
|
2031-01-13
|
18M
| 1.66298
|
2021-01-13
|
2031-01-13
|
1y
| 1.658059
|
2021-01-13
|
2031-01-13
|
2y
| 1.671021
|
2021-01-13
|
2031-01-13
|
3y
| 1.672651
|
2021-01-13
|
2031-01-13
|
4y
| 1.671581
|
2021-01-13
|
2031-01-13
|
5y
| 1.670162
|
2021-01-13
|
2031-01-13
|
8y
| 1.664911
|
2021-01-13
|
2036-01-14
|
10y
| 1.595597
|
2021-01-13
|
2036-01-14
|
15y
| 1.559133
|
2021-01-13
|
2036-01-14
|
18M
| 1.658941
|
2021-01-13
|
2036-01-14
|
1y
| 1.666272
|
2021-01-13
|
2036-01-14
|
2y
| 1.661018
|
2021-01-13
|
2036-01-14
|
3y
| 1.655592
|
2021-01-13
|
2036-01-14
|
4y
| 1.648781
|
2021-01-13
|
2036-01-14
|
5y
| 1.641514
|
2021-01-13
|
2036-01-14
|
8y
| 1.6123
|
2021-01-15
|
2022-01-17
|
10y
| 1.089143
|
2021-01-15
|
2022-01-17
|
15y
| 1.282148
|
2021-01-15
|
2022-01-17
|
18M
| 0.20768
|
2021-01-15
|
2022-01-17
|
1y
| 0.183757
|
2021-01-15
|
2022-01-17
|
2y
| 0.265282
|
2021-01-15
|
2022-01-17
|
3y
| 0.38801
|
2021-01-15
|
2022-01-17
|
4y
| 0.520584
|
2021-01-15
|
2022-01-17
|
5y
| 0.651427
|
2021-01-15
|
2022-01-17
|
8y
| 0.951554
|
2021-01-15
|
2022-07-15
|
10y
| 1.164548
|
2021-01-15
|
2022-07-15
|
15y
| 1.332801
|
2021-01-15
|
2022-07-15
|
18M
| 0.296068
|
2021-01-15
|
2022-07-15
|
1y
| 0.226014
|
2021-01-15
|
2022-07-15
|
2y
| 0.362088
|
2021-01-15
|
2022-07-15
|
3y
| 0.497428
|
2021-01-15
|
2022-07-15
|
4y
| 0.635676
|
2021-01-15
|
2022-07-15
|
5y
| 0.76335
|
2021-01-15
|
2022-07-15
|
8y
| 1.039971
|
2021-01-15
|
2023-01-16
|
10y
| 1.242718
|
End of preview.