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00f7555 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | # Reproducibility
## Environment
```bash
python -m venv .venv
source .venv/bin/activate
pip install -U pip
pip install -e .
```
Optional ANN/neural baselines:
```bash
pip install -r requirements-baselines.txt
```
## SciFact
Place a standard BEIR archive at `data/scifact.zip` and run:
```bash
./scripts/reproduce_scifact.sh data/scifact.zip artifacts/scifact_index
```
## TREC-COVID
Place a standard BEIR archive at `data/trec-covid.zip` and run:
```bash
./scripts/reproduce_treccovid.sh data/trec-covid.zip artifacts/treccovid_index
```
## One configuration
```bash
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.
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