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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 38 new columns ({'300.1', '300.3', '5868900', '5879000', '5846500', '5849700', '5859800', '200.3', '100.1', '5842700', '5873900', '5853000', '300.2', '5.1', '300', '200.2', '500', '5870000', '5861000', '5869500', '10', '5849300', '150', '5850100', '5843800', '5', '5859400', '100', '1160', '5876500', '5871000', '200', '5851000', '200.1', '300.4', '5845300', '89', '50'}) and 4 missing columns ({'34200.004241176', '1', '1.1', '16113575'}).
This happened while the csv dataset builder was generating data using
hf://datasets/totalorganfailure/lobster-data/LOBSTER_SampleFile_AAPL_2012-06-21_10/AAPL_2012-06-21_34200000_57600000_orderbook_10.csv (at revision fb51a829d2b5a78c79468db533ba28c5f1d161d0)
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/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
5859400: int64
200: int64
5853300: int64
18: int64
5859800: int64
200.1: int64
5853000: int64
150: int64
5861000: int64
200.2: int64
5851000: int64
5: int64
5868900: int64
300: int64
5850100: int64
89: int64
5869500: int64
50: int64
5849700: int64
5.1: int64
5870000: int64
100: int64
5849300: int64
300.1: int64
5871000: int64
10: int64
5846500: int64
300.2: int64
5873900: int64
100.1: int64
5845300: int64
300.3: int64
5876500: int64
1160: int64
5843800: int64
200.3: int64
5879000: int64
500: int64
5842700: int64
300.4: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 4565
to
{'34200.004241176': Value('float64'), '1': Value('int64'), '16113575': Value('int64'), '18': Value('int64'), '5853300': Value('int64'), '1.1': Value('int64')}
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 1455, 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 1054, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.12/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/python3.12/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/python3.12/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 38 new columns ({'300.1', '300.3', '5868900', '5879000', '5846500', '5849700', '5859800', '200.3', '100.1', '5842700', '5873900', '5853000', '300.2', '5.1', '300', '200.2', '500', '5870000', '5861000', '5869500', '10', '5849300', '150', '5850100', '5843800', '5', '5859400', '100', '1160', '5876500', '5871000', '200', '5851000', '200.1', '300.4', '5845300', '89', '50'}) and 4 missing columns ({'34200.004241176', '1', '1.1', '16113575'}).
This happened while the csv dataset builder was generating data using
hf://datasets/totalorganfailure/lobster-data/LOBSTER_SampleFile_AAPL_2012-06-21_10/AAPL_2012-06-21_34200000_57600000_orderbook_10.csv (at revision fb51a829d2b5a78c79468db533ba28c5f1d161d0)
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.
34200.004241176 float64 | 1 int64 | 16113575 int64 | 18 int64 | 5853300 int64 | 1.1 int64 |
|---|---|---|---|---|---|
34,200.004261 | 1 | 16,113,584 | 18 | 5,853,200 | 1 |
34,200.004447 | 1 | 16,113,594 | 18 | 5,853,100 | 1 |
34,200.025552 | 1 | 16,120,456 | 18 | 5,859,100 | -1 |
34,200.02558 | 1 | 16,120,480 | 18 | 5,859,200 | -1 |
34,200.025613 | 1 | 16,120,503 | 18 | 5,859,300 | -1 |
34,200.050241 | 1 | 16,127,688 | 100 | 5,850,000 | 1 |
34,200.201518 | 1 | 16,166,035 | 100 | 5,859,300 | -1 |
34,200.201736 | 3 | 16,113,594 | 18 | 5,853,100 | 1 |
34,200.201742 | 3 | 16,113,584 | 18 | 5,853,200 | 1 |
34,200.201743 | 3 | 16,120,456 | 18 | 5,859,100 | -1 |
34,200.201768 | 3 | 16,120,503 | 18 | 5,859,300 | -1 |
34,200.201781 | 3 | 16,120,480 | 18 | 5,859,200 | -1 |
34,200.201966 | 1 | 16,166,175 | 2 | 5,849,900 | 1 |
34,200.205573 | 1 | 16,167,159 | 18 | 5,853,600 | 1 |
34,200.205597 | 1 | 16,167,166 | 18 | 5,853,500 | 1 |
34,200.27174 | 1 | 3,647,217 | 20 | 5,857,300 | 1 |
34,200.27174 | 1 | 5,740,544 | 40 | 5,857,400 | -1 |
34,200.27174 | 1 | 2,109,823 | 50 | 5,857,000 | 1 |
34,200.27174 | 1 | 3,570,647 | 50 | 5,857,500 | -1 |
34,200.27174 | 1 | 3,237,773 | 20 | 5,856,900 | 1 |
34,200.27174 | 1 | 3,647,221 | 5 | 5,857,500 | -1 |
34,200.27174 | 1 | 3,583,158 | 5 | 5,856,500 | 1 |
34,200.27174 | 1 | 3,647,222 | 7 | 5,857,500 | -1 |
34,200.27174 | 1 | 3,647,220 | 20 | 5,856,400 | 1 |
34,200.27174 | 1 | 5,230,851 | 20 | 5,857,500 | -1 |
34,200.27174 | 1 | 4,731,250 | 3 | 5,856,000 | 1 |
34,200.27174 | 1 | 1,373,927 | 25 | 5,857,800 | -1 |
34,200.27174 | 1 | 1,601,225 | 20 | 5,857,800 | -1 |
34,200.27174 | 1 | 2,606,421 | 4 | 5,858,000 | -1 |
34,200.27174 | 1 | 1,364,835 | 5 | 5,858,200 | -1 |
34,200.27174 | 1 | 7,277,867 | 7 | 5,858,300 | -1 |
34,200.274847 | 3 | 16,167,159 | 18 | 5,853,600 | 1 |
34,200.274848 | 3 | 16,113,575 | 18 | 5,853,300 | 1 |
34,200.27493 | 3 | 16,167,166 | 18 | 5,853,500 | 1 |
34,200.275016 | 4 | 5,740,544 | 40 | 5,857,400 | -1 |
34,200.275016 | 4 | 3,570,647 | 25 | 5,857,500 | -1 |
34,200.275057 | 4 | 3,647,217 | 1 | 5,857,300 | 1 |
34,200.275063 | 4 | 3,647,217 | 10 | 5,857,300 | 1 |
34,200.275072 | 4 | 3,570,647 | 25 | 5,857,500 | -1 |
34,200.275072 | 4 | 3,647,221 | 5 | 5,857,500 | -1 |
34,200.275072 | 4 | 3,647,222 | 7 | 5,857,500 | -1 |
34,200.275072 | 4 | 5,230,851 | 20 | 5,857,500 | -1 |
34,200.275072 | 4 | 1,373,927 | 25 | 5,857,800 | -1 |
34,200.275072 | 4 | 1,601,225 | 20 | 5,857,800 | -1 |
34,200.275072 | 5 | 0 | 100 | 5,857,900 | -1 |
34,200.275072 | 4 | 2,606,421 | 4 | 5,858,000 | -1 |
34,200.275072 | 4 | 1,364,835 | 5 | 5,858,200 | -1 |
34,200.275072 | 4 | 7,277,867 | 7 | 5,858,300 | -1 |
34,200.275072 | 5 | 0 | 3 | 5,859,000 | -1 |
34,200.275072 | 5 | 0 | 200 | 5,859,000 | -1 |
34,200.275072 | 5 | 0 | 1 | 5,859,100 | -1 |
34,200.275072 | 5 | 0 | 1 | 5,859,200 | -1 |
34,200.275072 | 5 | 0 | 300 | 5,859,200 | -1 |
34,200.275072 | 4 | 16,166,035 | 37 | 5,859,300 | -1 |
34,200.275087 | 1 | 16,182,629 | 100 | 5,852,500 | 1 |
34,200.275123 | 1 | 16,182,649 | 50 | 5,857,400 | 1 |
34,200.277208 | 3 | 15,836,282 | 100 | 5,868,900 | -1 |
34,200.277699 | 3 | 15,847,383 | 100 | 5,873,900 | -1 |
34,200.280396 | 1 | 16,183,794 | 18 | 5,857,700 | 1 |
34,200.280424 | 1 | 16,183,801 | 18 | 5,857,600 | 1 |
34,200.280446 | 1 | 16,183,806 | 18 | 5,857,500 | 1 |
34,200.29384 | 1 | 16,186,225 | 100 | 5,857,000 | 1 |
34,200.347391 | 1 | 16,196,199 | 100 | 5,859,300 | -1 |
34,200.358687 | 4 | 16,166,035 | 4 | 5,859,300 | -1 |
34,200.393803 | 1 | 16,207,125 | 100 | 5,859,400 | -1 |
34,200.393976 | 3 | 16,182,649 | 50 | 5,857,400 | 1 |
34,200.394002 | 3 | 16,183,801 | 18 | 5,857,600 | 1 |
34,200.394003 | 3 | 16,183,806 | 18 | 5,857,500 | 1 |
34,200.394048 | 1 | 16,207,170 | 100 | 5,859,900 | -1 |
34,200.395117 | 1 | 16,207,442 | 200 | 5,859,800 | -1 |
34,200.417747 | 4 | 16,183,794 | 18 | 5,857,700 | 1 |
34,200.417747 | 4 | 3,647,217 | 9 | 5,857,300 | 1 |
34,200.417747 | 5 | 0 | 23 | 5,857,200 | 1 |
34,200.418944 | 5 | 0 | 77 | 5,857,200 | 1 |
34,200.418944 | 4 | 2,109,823 | 23 | 5,857,000 | 1 |
34,200.41909 | 1 | 16,211,220 | 18 | 5,859,200 | -1 |
34,200.459503 | 3 | 16,186,225 | 100 | 5,857,000 | 1 |
34,200.4597 | 1 | 16,220,046 | 100 | 5,854,500 | 1 |
34,200.484613 | 1 | 16,225,065 | 300 | 5,870,000 | -1 |
34,200.484768 | 1 | 16,225,109 | 300 | 5,870,000 | -1 |
34,200.502026 | 3 | 16,220,046 | 100 | 5,854,500 | 1 |
34,200.544528 | 1 | 16,235,607 | 5 | 5,863,300 | -1 |
34,200.6106 | 3 | 16,196,199 | 100 | 5,859,300 | -1 |
34,200.610751 | 3 | 16,211,220 | 18 | 5,859,200 | -1 |
34,200.615389 | 1 | 16,249,592 | 100 | 5,854,400 | 1 |
34,200.698811 | 1 | 16,265,081 | 100 | 5,854,500 | 1 |
34,200.701389 | 1 | 16,265,573 | 100 | 5,858,700 | -1 |
34,200.702574 | 1 | 16,265,761 | 67 | 5,854,400 | 1 |
34,200.76306 | 4 | 2,109,823 | 1 | 5,857,000 | 1 |
34,200.833565 | 3 | 16,265,081 | 100 | 5,854,500 | 1 |
34,200.833761 | 1 | 16,284,218 | 100 | 5,857,000 | 1 |
34,200.834525 | 3 | 16,284,218 | 100 | 5,857,000 | 1 |
34,200.834769 | 1 | 16,284,304 | 100 | 5,854,500 | 1 |
34,200.887406 | 5 | 0 | 47 | 5,858,600 | -1 |
34,200.887489 | 1 | 16,291,236 | 18 | 5,857,000 | 1 |
34,200.887549 | 1 | 16,291,244 | 18 | 5,857,100 | 1 |
34,200.888239 | 3 | 16,284,304 | 100 | 5,854,500 | 1 |
34,200.888357 | 1 | 16,291,389 | 100 | 5,856,000 | 1 |
34,200.888642 | 3 | 16,291,389 | 100 | 5,856,000 | 1 |
34,200.8888 | 1 | 16,291,456 | 100 | 5,856,100 | 1 |
End of preview.