Datasets:

Benyucong
/

graph-data-quantum-rl

dataset_info:
  features:
    - name: signature
      dtype: string
    - name: problem_type
      dtype: string
    - name: optimization_type
      dtype: string
    - name: graph
      dtype: string
    - name: solution
      dtype: string
    - name: cost_hamiltonian
      dtype: string
    - name: ansatz_id
      dtype: int64
    - name: number_of_qubits
      dtype: int64
    - name: number_of_layers
      dtype: int64
    - name: exact_solution
      dtype: string
    - name: circuit_with_params
      dtype: string
    - name: circuit_with_symbols
      dtype: string
    - name: problem_specific_attributes
      dtype: string
    - name: adaptive_process
      dtype: string
    - name: qiskit_pauli_strings
      list: string
    - name: qiskit_coefficients
      list: float64
    - name: prompt
      dtype: string
  splits:
    - name: train
      num_bytes: 271516732
      num_examples: 13914
    - name: test
      num_bytes: 13470683
      num_examples: 580
  download_size: 39452740
  dataset_size: 284987415
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
license: apache-2.0
task_categories:
  - text-generation
  - table-question-answering
language:
  - en
tags:
  - quantum
  - qasm
size_categories:
  - 10K<n<100K

Citation

If you use this dataset, please cite:

@misc{yu2025quasarquantumassemblycode,
      title={QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL}, 
      author={Cong Yu and Valter Uotila and Shilong Deng and Qingyuan Wu and Tuo Shi and Songlin Jiang and Lei You and Bo Zhao},
      year={2025},
      eprint={2510.00967},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2510.00967}, 
}