metadata
pretty_name: PaperFit Benchmark
license: other
size_categories:
- 100<n<1K
configs:
- config_name: cases
data_files:
- split: test
path: metadata/cases.jsonl
- config_name: perturbations
data_files:
- split: test
path: metadata/perturbations.jsonl
PaperFit Benchmark
This dataset packages the PaperFit benchmark as a Hugging Face dataset repo.
Included
metadata/cases.jsonl: one row per benchmark case.metadata/perturbations.jsonl: one row per applied perturbation.Raw case archives are stored under
raw/<venue>/<paper_id>.tar.gz.metadata/benchmark_generation_report.json: sanitized generation summary.
Current Snapshot
- Cases: 200
- Perturbation rows: 761
- Selected cases in source report: 200
- Generated cases in source report: 180
- Skipped existing cases in source report: 20
- Failed cases in source report: 0
Loading
from datasets import load_dataset
cases = load_dataset("xuxinglong/paperfit-benchmark", "cases", split="test")
perturbations = load_dataset("xuxinglong/paperfit-benchmark", "perturbations", split="test")
Notes
- Published metadata has local absolute paths removed.
- This staging export excludes macOS
._*files and LaTeX build artifacts such as.aux,.fls,.fdb_latexmk,.log,.out,.bbl, and.blg. - Check redistribution rights for source papers, figures, and templates before making the repo public.