Create README.md

README.md

@@ -1,101 +1,70 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: int64
-  - name: num_literal
-    dtype: int64
-  - name: sat_dimacs
-    dtype: string
-  - name: unsat_dimacs
-    dtype: string
-  - name: num_variable
-    dtype: int64
-  - name: num_clause
-    dtype: int64
-  - name: solver_metadatas
-    struct:
-    - name: MCS
-      struct:
-      - name: conflicts
-        dtype: int64
-      - name: decisions
-        dtype: int64
-      - name: propagations
-        dtype: int64
-      - name: restarts
-        dtype: int64
-      - name: solvers
-        sequence: string
-    - name: MUS
-      struct:
-      - name: conflicts
-        dtype: int64
-      - name: decisions
-        dtype: int64
-      - name: propagations
-        dtype: int64
-      - name: restarts
-        dtype: int64
-      - name: solvers
-        sequence: string
-    - name: MaxSAT
-      struct:
-      - name: conflicts
-        dtype: int64
-      - name: decisions
-        dtype: int64
-      - name: propagations
-        dtype: int64
-      - name: restarts
-        dtype: int64
-      - name: solvers
-        sequence: string
-    - name: SATDP_SAT
-      struct:
-      - name: conflicts
-        dtype: int64
-      - name: decisions
-        dtype: int64
-      - name: propagations
-        dtype: int64
-      - name: restarts
-        dtype: int64
-      - name: solvers
-        sequence: string
-    - name: SATDP_UNSAT
-      struct:
-      - name: conflicts
-        dtype: int64
-      - name: decisions
-        dtype: int64
-      - name: propagations
-        dtype: int64
-      - name: restarts
-        dtype: int64
-      - name: solvers
-        sequence: string
-    - name: SATSP
-      struct:
-      - name: conflicts
-        dtype: int64
-      - name: decisions
-        dtype: int64
-      - name: propagations
-        dtype: int64
-      - name: restarts
-        dtype: int64
-      - name: solvers
-        sequence: string
-  splits:
-  - name: train
-    num_bytes: 1915595
-    num_examples: 3000
-  download_size: 511101
-  dataset_size: 1915595
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+task_categories:
+- question-answering
+size_categories:
+- 1K<n<10K
 ---
+# SATQuest Dataset
+
+[![License MIT](https://img.shields.io/badge/License-MIT-green)](https://opensource.org/licenses/MIT)
+[![GitHub Repo](https://img.shields.io/badge/GitHub-sdpkjc/SATQuest-181717?logo=github)](https://github.com/sdpkjc/SATQuest)
+[![PyPI](https://img.shields.io/pypi/v/satquest?logo=pypi)](https://pypi.org/project/satquest/)
+
+**TL;DR.** Synthetic CNF benchmark for LLM reasoning: **3000** matched SAT/UNSAT pairs with `n in [3, 8]` and ratio `m in [2.1n, 4n]`. The dataset stores only CNF formulas and solver stats; use the [`SATQuest`](https://github.com/sdpkjc/SATQuest) Python library to render prompts/answers for SATDP, SATSP, MaxSAT, MCS, and MUS in four formats (math, DIMACS, story, dual story).
+
+## Data fields
+
+- `id`: unique identifier for each row.
+- `num_literal`: total number of literals in the unsatisfiable formula.
+- `sat_dimacs`: DIMACS representation of the satisfiable CNF.
+- `unsat_dimacs`: DIMACS representation of the unsatisfiable CNF.
+- `num_variable`: number of variables n, between 3 and 16.
+- `num_clause`: number of clauses `m` in the CNF, with `m=4n`.
+- `solver_metadatas`: dictionary of PySAT solver statistics (conflicts, decisions, propagations, restarts) for SATSP, MaxSAT, MCS, MUS, SATDP_SAT and SATDP_UNSAT tasks.
+
+## Quick usage
+
+Install the package and load a CNF instance:
+
+```python
+from datasets import load_dataset
+from satquest import CNF, create_problem, create_question
+
+item = load_dataset('sdpkjc/SATQuest', split='test')[0]
+cnf = CNF(dimacs=item['sat_dimacs'])
+
+problem = create_problem('SATSP', cnf) # or 'SATDP', 'MaxSAT', 'MCS', 'MUS'
+question = create_question('math')  # or 'dimacs', 'story', 'dualstory'
+prompt = problem.accept(question)
+answer = problem.solution  # reference answer
+reward = int(problem.check(answer))  # 1 if answer is correct, 0 otherwise
+```
+
+## Reproducing the dataset
+
+To build an identical dataset from scratch, clone the repository and run the provided generation script:
+
+```bash
+pip install datasets numpy tyro
+git clone https://github.com/sdpkjc/SATQuest.git
+cd SATQuest
+
+# produce the train set (3000 CNF pairs)
+python gen_cnf_rft_dataset.py --hf-entity {YOUR_HF_ENTITY} --seed 9527
+```
+
+## Citation
+
+Please cite the SATQuest paper if you use this dataset:
+
+```bibtex
+@misc{satquest2025,
+  author = {Yanxiao Zhao, Yaqian Li, Zihao Bo, Rinyoichi Takezoe, Haojia Hui, Mo Guang, Lei Ren, Xiaolin Qin, Kaiwen Long},
+  title = {SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs},
+  year = {2025},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  howpublished = {\url{https://github.com/sdpkjc/SATQuest}},
+}
+```