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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 ({'instType', 'instId', 'markPx'}) and 2 missing columns ({'asks', 'bids'}).
This happened while the json dataset builder was generating data using
hf://datasets/benchflow/artifacts/data/mark_price_swap.json (at revision f88890c937f8d8371abf08858de22cd4fdbdf978)
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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
instId: string
instType: string
markPx: string
ts: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 555
to
{'asks': List(List(Value('string'))), 'bids': List(List(Value('string'))), 'ts': Value('string')}
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 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/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 3 new columns ({'instType', 'instId', 'markPx'}) and 2 missing columns ({'asks', 'bids'}).
This happened while the json dataset builder was generating data using
hf://datasets/benchflow/artifacts/data/mark_price_swap.json (at revision f88890c937f8d8371abf08858de22cd4fdbdf978)
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.
asks list | bids list | ts string |
|---|---|---|
[
[
"91339.5",
"103.11",
"0",
"23"
],
[
"91339.6",
"0.1",
"0",
"4"
],
[
"91339.8",
"0.02",
"0",
"2"
],
[
"91340.1",
"0.07",
"0",
"1"
],
[
"91340.3",
"1.64",
"0",
"1"
],
[
"91340.4",
"0.01",
"0",
"1"
]... | [
[
"91339.4",
"557.3",
"0",
"35"
],
[
"91339.3",
"0.02",
"0",
"2"
],
[
"91339.2",
"0.01",
"0",
"1"
],
[
"91339.1",
"0.55",
"0",
"1"
],
[
"91338.9",
"0.55",
"0",
"1"
],
[
"91338.7",
"0.64",
"0",
"3"
]... | 1768889768553 |
[
[
"91392.5",
"1.87560764",
"0",
"22"
],
[
"91392.8",
"0.1768",
"0",
"2"
],
[
"91392.9",
"0.10610252",
"0",
"2"
],
[
"91393",
"0.89174374",
"0",
"3"
],
[
"91393.2",
"0.00219979",
"0",
"1"
],
[
"91393.3",
"0.01... | [
[
"91392.4",
"0.00542678",
"0",
"4"
],
[
"91392.3",
"0.00119351",
"0",
"2"
],
[
"91392.2",
"0.00054859",
"0",
"1"
],
[
"91392.1",
"0.00060591",
"0",
"3"
],
[
"91392",
"0.00054823",
"0",
"1"
],
[
"91391.8",
"0... | 1768889764553 |
[
[
"3162.31",
"1082.81",
"0",
"33"
],
[
"3162.32",
"0.01",
"0",
"1"
],
[
"3162.33",
"95.58",
"0",
"2"
],
[
"3162.34",
"0.01",
"0",
"1"
],
[
"3162.35",
"8.79",
"0",
"2"
],
[
"3162.36",
"0.01",
"0",
"1"
... | [
[
"3162.3",
"4570.64",
"0",
"86"
],
[
"3162.29",
"25.53",
"0",
"2"
],
[
"3162.28",
"152.01",
"0",
"5"
],
[
"3162.25",
"8.77",
"0",
"1"
],
[
"3162.24",
"0.02",
"0",
"2"
],
[
"3162.2",
"8.95",
"0",
"2"
... | 1768889769850 |
[
[
"3163.71",
"10.770862",
"0",
"12"
],
[
"3163.73",
"0.38",
"0",
"1"
],
[
"3163.74",
"1",
"0",
"1"
],
[
"3163.75",
"1.731",
"0",
"2"
],
[
"3163.8",
"1.731",
"0",
"2"
],
[
"3163.85",
"0.731",
"0",
"1"
... | [
[
"3163.7",
"1.009756",
"0",
"10"
],
[
"3163.66",
"0.452614",
"0",
"1"
],
[
"3163.65",
"0.731",
"0",
"1"
],
[
"3163.63",
"0.041197",
"0",
"4"
],
[
"3163.6",
"0.740918",
"0",
"2"
],
[
"3163.59",
"0.001211",
... | 1768889765800 |
[
[
"132.38",
"869.47",
"0",
"46"
],
[
"132.39",
"623.54",
"0",
"30"
],
[
"132.4",
"1523.69",
"0",
"34"
],
[
"132.41",
"1709.24",
"0",
"38"
],
[
"132.42",
"2213",
"0",
"37"
],
[
"132.43",
"1551.54",
"0",
... | [
[
"132.37",
"1443.39",
"0",
"9"
],
[
"132.36",
"403.08",
"0",
"56"
],
[
"132.35",
"1166.45",
"0",
"102"
],
[
"132.34",
"2573.51",
"0",
"72"
],
[
"132.33",
"1102.08",
"0",
"90"
],
[
"132.32",
"1298.29",
"0... | 1768889771107 |
[
[
"132.45",
"70.716002",
"0",
"7"
],
[
"132.46",
"164.740307",
"0",
"10"
],
[
"132.47",
"245.905996",
"0",
"19"
],
[
"132.48",
"164.880729",
"0",
"11"
],
[
"132.49",
"133.921697",
"0",
"10"
],
[
"132.5",
"259... | [
[
"132.44",
"165.442433",
"0",
"19"
],
[
"132.43",
"15.425343",
"0",
"10"
],
[
"132.42",
"18.528482",
"0",
"13"
],
[
"132.41",
"46.439521",
"0",
"18"
],
[
"132.4",
"39.123153",
"0",
"137"
],
[
"132.39",
"88.7... | 1768889767107 |
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