Datasets:
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---
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:
```bibtex
@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},
}
``` |