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 5 new columns ({'corruption', 'delta_mi_max', 'target', 'delta_mi_total', 'kl'}) and 5 missing columns ({'kl_marginal', 'rate', 'col', 'true_delta_mi', 'predicted_delta_mi'}).
This happened while the csv dataset builder was generating data using
hf://datasets/arifmohamedkhan/dsa-pipeline-quality/data/mi_knn_validation.csv (at revision 9bef941f0d6125c6df74d594de2cdb4dbb3da314), ['hf://datasets/arifmohamedkhan/dsa-pipeline-quality@9bef941f0d6125c6df74d594de2cdb4dbb3da314/data/gaussian_mi_validation.csv', 'hf://datasets/arifmohamedkhan/dsa-pipeline-quality@9bef941f0d6125c6df74d594de2cdb4dbb3da314/data/mi_knn_validation.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 1837, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
corruption: string
delta_mi_total: double
delta_mi_max: double
kl: double
target: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 868
to
{'col': Value('int64'), 'rate': Value('float64'), 'true_delta_mi': Value('float64'), 'kl_marginal': Value('float64'), 'predicted_delta_mi': Value('float64')}
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 1683, 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 1839, 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 5 new columns ({'corruption', 'delta_mi_max', 'target', 'delta_mi_total', 'kl'}) and 5 missing columns ({'kl_marginal', 'rate', 'col', 'true_delta_mi', 'predicted_delta_mi'}).
This happened while the csv dataset builder was generating data using
hf://datasets/arifmohamedkhan/dsa-pipeline-quality/data/mi_knn_validation.csv (at revision 9bef941f0d6125c6df74d594de2cdb4dbb3da314), ['hf://datasets/arifmohamedkhan/dsa-pipeline-quality@9bef941f0d6125c6df74d594de2cdb4dbb3da314/data/gaussian_mi_validation.csv', 'hf://datasets/arifmohamedkhan/dsa-pipeline-quality@9bef941f0d6125c6df74d594de2cdb4dbb3da314/data/mi_knn_validation.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.
col int64 | rate float64 | true_delta_mi float64 | kl_marginal float64 | predicted_delta_mi float64 |
|---|---|---|---|---|
0 | 0.1 | 0.518871 | 0 | 0.082058 |
0 | 0.2 | 0.650773 | 0 | 0.164116 |
0 | 0.5 | 0.782662 | 0 | 0.410289 |
0 | 1 | 0.821402 | 0 | 0.820579 |
1 | 0.1 | 0.425343 | 0 | 0.00165 |
1 | 0.2 | 0.5783 | 0 | 0.0033 |
1 | 0.5 | 0.671716 | 0 | 0.00825 |
1 | 1 | 0.706766 | 0 | 0.016501 |
2 | 0.1 | 0.485495 | 0 | 0.000007 |
2 | 0.2 | 0.65622 | 0 | 0.000014 |
2 | 0.5 | 0.818693 | 0 | 0.000035 |
2 | 1 | 0.872971 | 0 | 0.00007 |
3 | 0.1 | 0.535707 | 0 | 0 |
3 | 0.2 | 0.707853 | 0 | 0 |
3 | 0.5 | 0.950392 | 0 | 0 |
3 | 1 | 1.025401 | 0 | 0 |
null | null | null | null | null |
null | null | null | null | null |
null | null | null | null | null |
null | null | null | null | null |
null | null | null | null | null |
null | null | null | null | null |
null | null | null | null | null |
null | null | null | null | null |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
DSA: Dual-Spectrum Auditing for Data Pipeline Quality via LLM Information Proxies
Paper
"DSA: Dual-Spectrum Auditing for Data Pipeline Quality via LLM Information Proxies" Arif Mohamed Khan Rabi Ahamad, Syracuse University
Repository Contents
data/
e1_master_table.csv— 79 E1 mutation scenarios with all detection metricsrealworld_unified.csv— 72 quarterly real-world periods across 3 pipelinesstructural_quality_*.csv— Per-period structural indicators for each pipelinedocumented_events.json— Documented real-world events (COVID, surcharges, etc.)illm_vs_mi_expanded.csv— ILLM vs true MI (kNN Kraskov) on 15 corruptionsgaussian_mi_validation.csv— Gaussian graphical model theorem verificationactual_baselines.csv— Deequ/AV/SPADE comparison on 17 corruptionscost_utility.json— Cost-sensitive analysis resultsfamily_recommendations.csv— Per-family method recommendations
code/
reproduce_numbers.py— Reproduces all key paper numbers from the data files
figures/
- 12 publication figures (PNG format)
Quick Start
pip install pandas scipy scikit-learn
cd code
python reproduce_numbers.py
Key Results
| Metric | Value |
|---|---|
| Rule-preserving detection (S_max_adj) | 83% |
| Rule-preserving detection (Auto-Validate) | 31% |
| Construct validity (ILLM vs MI) | rho=0.67, p=0.006 |
| Fare-only construct validity | rho=0.96, p=0.0005 |
| NYC Taxi longitudinal (Frobenius) | rho=-0.51, p=0.002 |
| Chicago longitudinal (MI) | rho=-0.62, p=0.014 |
| Meta-classifier F1 | 0.77 |
| Cost per audit | $0.0014 |
License
CC-BY-4.0
- Downloads last month
- 98