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dp-bench

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Table Question Answering
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'test' of the config 'dpbench-hard' 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@48b832d89402ab2cafaf5949b9a60926e821d690/hard_dp_bench.json.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 336, in _generate_tables
                  raise ValueError(
                      f"Failed to convert pandas DataFrame to Arrow Table from file {file}."
                  ) from None
              ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/ibm-research/dp-bench@48b832d89402ab2cafaf5949b9a60926e821d690/hard_dp_bench.json.

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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: Bridging Business Intent and Data: A Benchmark for Automatic Relational Data Product Generation
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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