| # 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. |
|
|
