Reproducibility
Environment
python -m venv .venv
source .venv/bin/activate
pip install -U pip
pip install -e .
Optional ANN/neural baselines:
pip install -r requirements-baselines.txt
SciFact
Place a standard BEIR archive at data/scifact.zip and run:
./scripts/reproduce_scifact.sh data/scifact.zip artifacts/scifact_index
TREC-COVID
Place a standard BEIR archive at data/trec-covid.zip and run:
./scripts/reproduce_treccovid.sh data/trec-covid.zip artifacts/treccovid_index
One configuration
python experiments/beir/run_rag_top10.py data/trec-covid.zip artifacts/treccovid_index --pool 100 --hq-branches 10 --lambda-diversity 0.1 --output results/reproduced/treccovid_p100.json
Full MS MARCO
The exact historical full-scale scripts are preserved under experiments/msmarco_scale/. They are intentionally kept close to the scripts that produced the recorded JSON files. The 8.84M corpus shards and multi-GB generated arrays are not in this repository. Use manifests/msmarco_manifest.json to verify the shard set, then follow the build order described in the root README.
Exact experiment history vs cleaned runner
experiments/beir/*exact_history.py contains the scripts as executed in the current session, including their original local paths. experiments/beir/run_rag_top10.py and run_pool_sweep.py are cleaned path-independent runners using the same formulas.