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The dataset generation failed
Error code: DatasetGenerationError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 2 fields in line 3, saw 3
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/csv/csv.py", line 198, in _generate_tables
for batch_idx, df in enumerate(csv_file_reader):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
return self.get_chunk()
~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
return self.read(nrows=size)
~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
) = self._engine.read( # type: ignore[attr-defined]
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
nrows
^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
chunks = self._reader.read_low_memory(nrows)
File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 2 fields in line 3, saw 3
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
observation_date string | BAA10Y float64 |
|---|---|
1986-01-02 | 2.34 |
1986-01-03 | 2.3 |
1986-01-06 | 2.29 |
1986-01-07 | 2.35 |
1986-01-08 | 2.21 |
1986-01-09 | 2.16 |
1986-01-10 | 2.06 |
1986-01-13 | 2.03 |
1986-01-14 | 2.03 |
1986-01-15 | 2.2 |
1986-01-16 | 2.17 |
1986-01-17 | 2.2 |
1986-01-20 | null |
1986-01-21 | 2.24 |
1986-01-22 | 2.23 |
1986-01-23 | 2.29 |
1986-01-24 | 2.26 |
1986-01-27 | 2.35 |
1986-01-28 | 2.41 |
1986-01-29 | 2.34 |
1986-01-30 | 2.32 |
1986-01-31 | 2.29 |
1986-02-03 | 2.3 |
1986-02-04 | 2.29 |
1986-02-05 | 2.28 |
1986-02-06 | 2.25 |
1986-02-07 | 2.22 |
1986-02-10 | 2.3 |
1986-02-11 | 2.35 |
1986-02-12 | 2.36 |
1986-02-13 | 2.38 |
1986-02-14 | 2.47 |
1986-02-17 | null |
1986-02-18 | 2.49 |
1986-02-19 | 2.43 |
1986-02-20 | 2.44 |
1986-02-21 | 2.54 |
1986-02-24 | 2.56 |
1986-02-25 | 2.54 |
1986-02-26 | 2.51 |
1986-02-27 | 2.56 |
1986-02-28 | 2.49 |
1986-03-03 | 2.57 |
1986-03-04 | 2.6 |
1986-03-05 | 2.48 |
1986-03-06 | 2.58 |
1986-03-07 | 2.68 |
1986-03-10 | 2.79 |
1986-03-11 | 2.82 |
1986-03-12 | 2.79 |
1986-03-13 | 2.75 |
1986-03-14 | 2.72 |
1986-03-17 | 2.68 |
1986-03-18 | 2.68 |
1986-03-19 | 2.71 |
1986-03-20 | 2.73 |
1986-03-21 | 2.69 |
1986-03-24 | 2.73 |
1986-03-25 | 2.74 |
1986-03-26 | 2.79 |
1986-03-27 | 2.88 |
1986-03-28 | null |
1986-03-31 | 2.92 |
1986-04-01 | 2.91 |
1986-04-02 | 2.92 |
1986-04-03 | 2.85 |
1986-04-04 | 2.84 |
1986-04-07 | 2.87 |
1986-04-08 | 2.93 |
1986-04-09 | 2.94 |
1986-04-10 | 2.97 |
1986-04-11 | 2.96 |
1986-04-14 | 2.98 |
1986-04-15 | 2.98 |
1986-04-16 | 3.16 |
1986-04-17 | 3.15 |
1986-04-18 | 2.88 |
1986-04-21 | 2.97 |
1986-04-22 | 2.81 |
1986-04-23 | 2.76 |
1986-04-24 | 2.7 |
1986-04-25 | 2.68 |
1986-04-28 | 2.75 |
1986-04-29 | 2.82 |
1986-04-30 | 2.78 |
1986-05-01 | 2.73 |
1986-05-02 | 2.73 |
1986-05-05 | 2.71 |
1986-05-06 | 2.7 |
1986-05-07 | 2.73 |
1986-05-08 | 2.75 |
1986-05-09 | 2.71 |
1986-05-12 | 2.58 |
1986-05-13 | 2.6 |
1986-05-14 | 2.6 |
1986-05-15 | 2.56 |
1986-05-16 | 2.39 |
1986-05-19 | 2.41 |
1986-05-20 | 2.46 |
1986-05-21 | 2.47 |
End of preview.
vol-forecast data β pinned version v2026.09
Inputs for forecasting next week's realised volatility of the US stock market. Code: https://github.com/StevenLi-phoenix/vol-forecast
| File | Source |
|---|---|
F-F_Research_Data_5_Factors_2x3_daily_CSV.zip, F-F_Momentum_Factor_daily_CSV.zip |
Kenneth R. French Data Library (CRSP 202609 release), unmodified |
VIXCLS.csv, T10Y3M.csv, BAA10Y.csv |
FRED, unmodified, downloaded 2026-11-01 |
weekly.csv |
derived: 1893 weekly rows (1990-03-23 .. 2026-09-25), 14 core + 2 optional features, target target_lrv_next |
MANIFEST.json |
sha256 and size of every file above |
The upstream data belong to their providers; check their terms before redistributing. Rebuild weekly.csv with scripts/build_dataset.py in the code repo; verify files against MANIFEST.json.
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