Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 2 new columns ({'planning_ms', 'execution_ms'})
This happened while the csv dataset builder was generating data using
hf://datasets/DougDong/SICE-Foundation-plans/postgres/long_raw_postgres_accidents_index_workload_100k_s2_c8220.csv (at revision 4071130978eee1e1e0d6398c16956e918c81848b), ['hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_accidents_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_accidents_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_airline_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_airline_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_baseball_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_baseball_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_basketball_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_basketball_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_carcinogenesis_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_carcinogenesis_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_consumer_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_consumer_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_credit_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_credit_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_employee_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_employee_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_fhnk_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_fhnk_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_financial_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_financial_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_geneea_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_geneea_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_genome_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_genome_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_hepatitis_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_hepatitis_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_movielens_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_movielens_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_seznam_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_seznam_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_ssb_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_ssb_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_tournament_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_tournament_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_tpc_h_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_tpc_h_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_walmart_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_walmart_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_accidents_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_accidents_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_airline_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_airline_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_baseball_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_baseball_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_basketball_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_basketball_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_carcinogenesis_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_carcinogenesis_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_consumer_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_consumer_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_credit_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_credit_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_employee_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_employee_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_fhnk_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_fhnk_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_financial_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_financial_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_geneea_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_geneea_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_genome_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_genome_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_hepatitis_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_hepatitis_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_movielens_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_movielens_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_seznam_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_seznam_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_ssb_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_ssb_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_tournament_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_tournament_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_tpc_h_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_tpc_h_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_walmart_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_walmart_workload_100k_s1_c8220.csv']
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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: int64
json: string
planning_ms: double
execution_ms: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 737
to
{'id': Value('int64'), 'json': 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 1369, 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 948, 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 1694, 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 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 2 new columns ({'planning_ms', 'execution_ms'})
This happened while the csv dataset builder was generating data using
hf://datasets/DougDong/SICE-Foundation-plans/postgres/long_raw_postgres_accidents_index_workload_100k_s2_c8220.csv (at revision 4071130978eee1e1e0d6398c16956e918c81848b), ['hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_accidents_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_accidents_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_airline_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_airline_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_baseball_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_baseball_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_basketball_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_basketball_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_carcinogenesis_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_carcinogenesis_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_consumer_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_consumer_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_credit_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_credit_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_employee_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_employee_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_fhnk_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_fhnk_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_financial_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_financial_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_geneea_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_geneea_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_genome_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_genome_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_hepatitis_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_hepatitis_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_movielens_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_movielens_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_seznam_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_seznam_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_ssb_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_ssb_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_tournament_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_tournament_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_tpc_h_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_tpc_h_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_walmart_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/duckdb/long_raw_duckdb_walmart_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_accidents_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_accidents_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_airline_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_airline_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_baseball_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_baseball_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_basketball_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_basketball_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_carcinogenesis_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_carcinogenesis_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_consumer_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_consumer_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_credit_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_credit_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_employee_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_employee_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_fhnk_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_fhnk_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_financial_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_financial_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_geneea_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_geneea_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_genome_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_genome_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_hepatitis_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_hepatitis_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_movielens_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_movielens_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_seznam_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_seznam_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_ssb_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_ssb_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_tournament_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_tournament_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_tpc_h_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_tpc_h_workload_100k_s1_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_walmart_index_workload_100k_s2_c8220.csv', 'hf://datasets/DougDong/SICE-Foundation-plans@4071130978eee1e1e0d6398c16956e918c81848b/postgres/long_raw_postgres_walmart_workload_100k_s1_c8220.csv']
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.
id int64 | json string |
|---|---|
1 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.215000204, "result_set_size": 16, "query_name": "SELECT COUNT(*) as agg_0, AVG(\"oseba\".\"vozniski_staz_MM\" + \"upravna_enota\".\"povrsina\") as agg_1 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \... |
2 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.153673516, "result_set_size": 32, "query_name": "SELECT SUM(\"oseba\".\"starost\") as agg_0, COUNT(*) as agg_1, AVG(\"oseba\".\"vozniski_staz_MM\") as agg_2 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota... |
3 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.037949671, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"upravna_enota\" = \"upra... |
4 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.01500478, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"upravna_enota\" = \"uprav... |
5 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.007335383, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"nesreca\".\"upravna_enota\" = \"upra... |
6 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.024389944, "result_set_size": 24, "query_name": "SELECT COUNT(*) as agg_0, AVG(\"oseba\".\"vozniski_staz_LL\") as agg_1, AVG(\"nesreca\".\"y_wgs84\") as agg_2 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_eno... |
7 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.080207813, "result_set_size": 16, "query_name": "SELECT COUNT(*) as agg_0, COUNT(*) as agg_1 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"upra... |
8 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.01684318, "result_set_size": 16, "query_name": "SELECT SUM(\"oseba\".\"starost\" + \"oseba\".\"alkotest\") as agg_0 FROM \"oseba\" WHERE \"oseba\".\"alkotest_d\" != 'E' AND \"oseba\".\"povzrocitelj_ali_udelezenec\" = 'N';", "blocked_thre... |
9 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.018215794, "result_set_size": 24, "query_name": "SELECT COUNT(*) as agg_0, SUM(\"oseba\".\"vozniski_staz_MM\" + \"oseba\".\"vozniski_staz_LL\") as agg_1 FROM \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enot... |
10 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.763628446, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"upravna_enota\" = \"upra... |
11 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.029640157, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"nesreca\".\"upravna_enota\" = \"upra... |
12 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.55897061, "result_set_size": 24, "query_name": "SELECT COUNT(*) as agg_0, SUM(\"oseba\".\"starost\") as agg_1 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \... |
13 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.020879341, "result_set_size": 8, "query_name": "SELECT AVG(\"oseba\".\"starost\" + \"upravna_enota\".\"povrsina\") as agg_0 FROM \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND ... |
14 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.00643261, "result_set_size": 16, "query_name": "SELECT SUM(\"nesreca\".\"x\" + \"nesreca\".\"y\") as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"ne... |
15 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.025330304, "result_set_size": 24, "query_name": "SELECT SUM(\"upravna_enota\".\"povrsina\") as agg_0, COUNT(*) as agg_1 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_e... |
16 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.008666506, "result_set_size": 16, "query_name": "SELECT AVG(\"oseba\".\"vozniski_staz_MM\") as agg_0, COUNT(*) as agg_1 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_e... |
17 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.004626557, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"oseba\" WHERE \"oseba\".\"povzrocitelj_ali_udelezenec\" != 'D' AND \"oseba\".\"strokovni_pregled_d\" = 'D';", "blocked_thread_time": 0.0, "system_peak_buffer... |
18 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.599328684, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"upravna_enota\" = \"upra... |
19 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.270693758, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"upravna_enota\" = \"upra... |
20 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.016460779, "result_set_size": 24, "query_name": "SELECT SUM(\"oseba\".\"vozniski_staz_LL\") as agg_0, COUNT(*) as agg_1 FROM \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"os... |
21 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.013952415, "result_set_size": 8, "query_name": "SELECT AVG(\"oseba\".\"vozniski_staz_LL\" + \"oseba\".\"starost\") as agg_0 FROM \"oseba\" WHERE \"oseba\".\"poskodba\" != 'P' AND \"oseba\".\"starost_d\" = 'C' AND \"oseba\".\"vozniski_sta... |
22 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.00953011, "result_set_size": 8, "query_name": "SELECT AVG(\"nesreca\".\"x_wgs84\" + \"upravna_enota\".\"povrsina\") as agg_0 FROM \"nesreca\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\"... |
23 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.249577185, "result_set_size": 24, "query_name": "SELECT COUNT(*) as agg_0, SUM(\"oseba\".\"starost\") as agg_1 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AN... |
24 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.015969889, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"starost_d\" != 'F' AND \"oseba\".\"alko... |
25 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.759413022, "result_set_size": 8, "query_name": "SELECT AVG(\"upravna_enota\".\"st_prebivalcev\" + \"oseba\".\"alkotest\") as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"i... |
26 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.281033932, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"nesreca\".\"upravna_enota\" = \"upra... |
27 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.611412882, "result_set_size": 8, "query_name": "SELECT AVG(\"oseba\".\"starost\" + \"oseba\".\"strokovni_pregled\") as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravn... |
28 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.0512417, "result_set_size": 40, "query_name": "SELECT SUM(\"oseba\".\"alkotest\" + \"upravna_enota\".\"povrsina\") as agg_0, SUM(\"oseba\".\"strokovni_pregled\" + \"upravna_enota\".\"st_prebivalcev\") as agg_1, SUM(\"oseba\".\"starost\" ... |
29 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.006532988, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"upravna_enota\" = \"upra... |
30 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.825583954, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"nesreca\".\"upravna_enota\" = \"upra... |
31 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.017331247, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"poskodba\" != 'P' AND \"upravna_enota\"... |
32 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.012947227, "result_set_size": 16, "query_name": "SELECT COUNT(*) as agg_0, COUNT(*) as agg_1 FROM \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"upravna_enota\".\"povrsina\" ... |
33 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.12821346, "result_set_size": 24, "query_name": "SELECT COUNT(*) as agg_0, COUNT(*) as agg_1, COUNT(*) as agg_2 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND ... |
34 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.542035024, "result_set_size": 16, "query_name": "SELECT COUNT(*) as agg_0, COUNT(*) as agg_1 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"upra... |
35 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.02076012, "result_set_size": 16, "query_name": "SELECT COUNT(*) as agg_0, COUNT(*) as agg_1 FROM \"oseba\" WHERE \"oseba\".\"poskodba\" != 'S' AND \"oseba\".\"vrsta_udelezenca\" != 'TV' AND \"oseba\".\"vozniski_staz_MM\" >= 9.50832228354... |
36 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.013673761, "result_set_size": 16, "query_name": "SELECT SUM(\"upravna_enota\".\"st_prebivalcev\") as agg_0 FROM \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"upravna_enota\"... |
37 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.03243734, "result_set_size": 8, "query_name": "SELECT AVG(\"nesreca\".\"y_wgs84\") as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"nesreca\".\"uprav... |
38 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.208738817, "result_set_size": 16, "query_name": "SELECT SUM(\"nesreca\".\"x\" + \"upravna_enota\".\"st_prebivalcev\") as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upra... |
39 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.050988918, "result_set_size": 8, "query_name": "SELECT AVG(\"nesreca\".\"x_wgs84\") as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"nesreca\".\"upra... |
40 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.978061211, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"upravna_enota\" = \"upra... |
41 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.009011567, "result_set_size": 8, "query_name": "SELECT AVG(\"nesreca\".\"x_wgs84\") as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"upra... |
42 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.007112729, "result_set_size": 24, "query_name": "SELECT COUNT(*) as agg_0, AVG(\"nesreca\".\"x\" + \"nesreca\".\"x_wgs84\") as agg_1, AVG(\"nesreca\".\"x\") as agg_2 FROM \"nesreca\" WHERE \"nesreca\".\"stanje_promet\" != 'R' AND \"nesre... |
43 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.171976456, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"oseba\".\"upravna_enota\" = \"upra... |
44 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.417789107, "result_set_size": 24, "query_name": "SELECT AVG(\"oseba\".\"strokovni_pregled\" + \"nesreca\".\"x\") as agg_0, SUM(\"nesreca\".\"y\" + \"oseba\".\"vozniski_staz_LL\") as agg_1 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WH... |
45 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.006915212, "result_set_size": 8, "query_name": "SELECT COUNT(*) as agg_0 FROM \"nesreca\", \"upravna_enota\" WHERE \"nesreca\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"nesreca\".\"opis_prizorisce\" != 'P';", "bloc... |
46 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.006552803, "result_set_size": 32, "query_name": "SELECT SUM(\"oseba\".\"starost\") as agg_0, SUM(\"oseba\".\"vozniski_staz_LL\") as agg_1 FROM \"oseba\" WHERE \"oseba\".\"varnostni_pas_ali_celada\" != '2.0';", "blocked_thread_time": 0.0,... |
47 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.010086023, "result_set_size": 16, "query_name": "SELECT COUNT(*) as agg_0, COUNT(*) as agg_1 FROM \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upravna_enota\" AND \"upravna_enota\".\"povrsina\" ... |
48 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.010063461, "result_set_size": 24, "query_name": "SELECT AVG(\"oseba\".\"alkotest\" + \"oseba\".\"vozniski_staz_MM\") as agg_0, SUM(\"upravna_enota\".\"st_prebivalcev\") as agg_1 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"nesr... |
49 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 1.172128016, "result_set_size": 16, "query_name": "SELECT SUM(\"oseba\".\"alkotest\" + \"oseba\".\"strokovni_pregled\") as agg_0 FROM \"nesreca\", \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id_upra... |
50 | {"total_bytes_written": 0, "total_bytes_read": 0, "rows_returned": 1, "latency": 0.023357449, "result_set_size": 24, "query_name": "SELECT AVG(\"upravna_enota\".\"st_prebivalcev\") as agg_0, COUNT(*) as agg_1, COUNT(*) as agg_2 FROM \"oseba\", \"upravna_enota\" WHERE \"oseba\".\"upravna_enota\" = \"upravna_enota\".\"id... |
End of preview.
SICE-FM training plans — PostgreSQL + DuckDB
The query-plan corpus used to pretrain the SICE-FM bank at DougDong/SICE-Foundation.
76 files, 2.6 GB. 19 databases × 2 engines × 2 workload variants, ~9,000 plans per (database, engine).
Schema
Every file is long_raw_<engine>_<database>_<workload>_c8220.csv:
| column | meaning |
|---|---|
id |
row identifier within the file |
json |
the engine's EXPLAIN document |
planning_ms |
planning time |
execution_ms |
measured runtime — this is the label |
⚠️ The plans contain their own labels
These are raw, uncleaned plans. execution_ms is a column, and the json document itself
carries measured quantities (actual rows, per-operator timings). That is correct for training
data, but it means:
Feeding the raw plan text to the model leaks the answer. Any prediction you get that way is
meaningless and will look excellent. The plan text must be cleaned of every measured field
before it reaches the encoder. score.py in the
code repository does this with engine-specific
rules, which is also why it refuses to guess --engine.
⚠️ imdb is deliberately absent
The 19 databases here are:
accidents, airline, baseball, basketball, carcinogenesis, consumer, credit,
employee, fhnk, financial, geneea, genome, hepatitis, movielens, seznam,
ssb, tournament, tpc_h, walmart
imdb is excluded on purpose — it is the held-out evaluation workload, so the published
imdb results (JOB-light, synthetic, scale) are a genuine held-out test rather than a memory
check. Ten imdb files were excluded during staging and the exclusion was verified file by file.
If you add imdb plans to this corpus and retrain, the published imdb numbers no longer mean what
they say.
Engines
postgres and duckdb — the two systems the released bank was trained on. Spark, MySQL, Axiom
and DataFusion plans exist in the project but are not included here: Spark is the held-out
target for this bank, and the others are adapt-only targets used to test transfer to systems
unseen by construction.
Note DuckDB reports runtimes in nanoseconds and PostgreSQL in milliseconds.
Provenance and licensing
The plans are derived artifacts — they are EXPLAIN output and timings measured by running
queries against these databases, not copies of the underlying data. The source datasets carry
their own licenses and remain the property of their respective owners; several come from public
research corpora, and tpc_h derives from the TPC-H benchmark specification. If you redistribute
anything built from this corpus, check the terms of the individual source datasets. This card
does not grant rights to the underlying data.
Using it
To score plans rather than retrain, you do not need this dataset — use the released bank and your own plans. This corpus is for reproducing pretraining or studying the plan distributions.
Statistics are not included here: they are built per database from a live PostgreSQL instance.
See docs/STATISTICS.md.
- Downloads last month
- 29