Hurum Maksora Tohfa
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# FOTO paper — reproduction scripts
Reproduces the benchmark tables in the FOTO paper from scratch. Run order:
| step | script | produces | needs |
|---|---|---|---|
| 1 | `census.py` | `astro_captions.parquet` (ArxivCap astro-ph text slice) | HF_TOKEN (recommended) |
| 2 | `build_index.py --strategy title_caption` | OpenAI index (`indexes/title_caption`) | OPENAI_API_KEY |
| 2 | `build_index.py --strategy title_caption --backend local` | bge index (`indexes/title_caption_bge-base-en-v1.5`) | — |
| 3 | `benchmark_grid.py` | `results_grid.jsonl` (Table 4 data) | ANTHROPIC_API_KEY, SEMANTIC_SCHOLAR_API_KEY, OPENAI_API_KEY |
| 4 | `summarize_grid.py results_grid.jsonl` | Table 4 R@k tables + heatmap/curves | — |
| 5 | `embedder_comparison.py` | Table 3 (bge vs openai, query prefix applied) | OPENAI_API_KEY |
| 6 | `verify_bench.py` | verification table (vision/text/deepseek) | ANTHROPIC_API_KEY, DEEPSEEK_API_KEY, HF_TOKEN |
To run:
```bash
python census.py
python build_index.py --strategy title_caption # openai, 512d
python build_index.py --strategy title_caption --backend local # bge, 768d
python benchmark_grid.py \
--index-dir indexes/title_caption_bge-base-en-v1.5 \
--pathfinder-emb ./pathfinder/embeddings.npy \
--pathfinder-meta ./pathfinder/meta.parquet \
--n-figures 500 --out results_grid
python summarize_grid.py results_grid.jsonl # task level (paper Table 4)
python summarize_grid.py results_grid.jsonl --level fig
python summarize_grid.py results_grid.jsonl --level paper
python embedder_comparison.py --results results_grid.jsonl \
--index-bge indexes/title_caption_bge-base-en-v1.5 \
--index-openai indexes/title_caption
python verify_bench.py --results results_grid.jsonl \
--index-bge indexes/title_caption_bge-base-en-v1.5 --out verify2
```