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U2-Bench Code (Anonymous Review Repo)
This repository is an anonymized code artifact accompanying the U2-Bench dataset submission to NeurIPS 2026 E&D.
What is included
- A minimal executable pipeline script (
run_minimal_pipeline.sh) - A schema validator for released JSONL files (
scripts/validate_u2_schema.py) - A minimal scoring script for prediction files (
scripts/evaluate_predictions.py) - Dependency list (
requirements.txt)
Quick start
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
python scripts/validate_u2_schema.py --input data/u2_bench_non_stem_qa.jsonl
Evaluate predictions (optional):
python scripts/evaluate_predictions.py \
--gold data/u2_bench_non_stem_qa.jsonl \
--predictions data/predictions.jsonl
Or run both in one command:
./run_minimal_pipeline.sh data/u2_bench_non_stem_qa.jsonl data/predictions.jsonl
Expected dataset schema
Each line in JSONL must contain:
qhashquestiongold_answer
Prediction JSONL used by evaluate_predictions.py must contain:
qhashpredicted
Reproducibility notes
The full training/evaluation pipeline used for construction is documented in the paper and supplement. This repository provides an executable, anonymized review artifact focused on data schema checks and release validation.
Anonymity
This repository intentionally omits author and institution identifiers for double-blind review.
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