DP-Bench: A Benchmark for Evaluating Data Product Creation Systems
Paper
•
2512.15798
•
Published
Dataset Viewer
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Cannot extract the features (columns) for the split 'test' of the config 'dpbench' of the dataset.
Error code: FeaturesError
Exception: ValueError
Message: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/ibm-research/dp-bench@be24f4eb78499ffcd42ad2d37d1b7e76c8a2a1fa/dp_bench.json.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 195, in _generate_tables
raise ValueError(
ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/ibm-research/dp-bench@be24f4eb78499ffcd42ad2d37d1b7e76c8a2a1fa/dp_bench.json.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.
DP-Bench: A Benchmark for Evaluating Data Product Creation Systems
The DP-Bench (shortened from Data Product Benchmark) is the first of its kind benchmark.
It contains -
- Description of specific business use cases, which we call data product requests (DPRs)
- Corresponding data products for each of these DPRs, which consist of a subset of database tables and columns which are relevant to the DPR as well as derived columns which are produced from existing columns in the database
- Provenance (in SQL) for the derived columns in the data products
- Actual DB schemas from which these data products were created
- Natural language questions corresponding to each business usecase
- Annotated topics for the DPRs and annotated topics for the data products.
For details about this benchmark and to cite it please refer to the following paper
Title: DP-Bench: A Benchmark for Evaluating Data Product Creation Systems
Authors: Faisal Chowdhury, Sola Shirai, Sarthak Dash, Nandana Mihindukulasooriya, Horst Samulowitz
Paper url: https://arxiv.org/pdf/2512.15798
Running the evaluation codes
Please refer here for details.
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