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Datasets:
boshuai1
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c2q-dataset

Tasks:
Text Classification
Text Generation
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ArXiv:
Tags:
quantum-computing
quantum-software-engineering
benchmark
c2q
License:
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The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code:   InfoError
Exception:    ConnectionError
Message:      Couldn't reach 'boshuai1/c2q-dataset' on the Hub (LocalEntryNotFoundError)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                            ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1315, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1133, in dataset_module_factory
                  raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})") from e
              ConnectionError: Couldn't reach 'boshuai1/c2q-dataset' on the Hub (LocalEntryNotFoundError)

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C2|Q> Dataset

This repository contains the released dataset materials associated with the paper:

C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development
arXiv: 2510.02854
TOSEM 2026
DOI: 10.1145/3803018

Contents

This dataset repository provides cleaned public inputs used for artifact inspection and reproduction, including:

  • synthetic Python program inputs
  • backup CSV data
  • generated JSON DSL examples
  • JSON DSL smoke subset
  • optional usability-comparison materials

Main Files

  • python_programs.csv
  • data.csv
  • json_dsl/
  • json_dsl_smoke/

Source Project

Archival Record

The archival evaluation record is preserved on Zenodo:

Hugging Face is provided for discoverability and easier browsing. Zenodo remains the archival source.

Intended Use

  • artifact inspection
  • lightweight benchmarking
  • JSON-based reproduction support
  • supporting materials for the C2|Q> artifact

Limitations

  • this is a cleaned public mirror, not the complete repository
  • generated local artifact outputs are not included here
  • source-code execution and make-based workflows remain in the GitHub repository

License

CC-BY-4.0
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Paper for boshuai1/c2q-dataset