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.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+done_chunk_ids.txt filter=lfs diff=lfs merge=lfs -text
+index.faiss filter=lfs diff=lfs merge=lfs -text
+meta.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: mit
+task_categories:
+  - text-retrieval
+  - question-answering
+language:
+  - en
+tags:
+  - faiss
+  - scientific-papers
+  - synthetic-biology
+  - neophyte
+  - retrieval
+pretty_name: Neophyte FAISS Index v1
+size_categories:
+  - 100K<n<1M
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/train.parquet
+dataset_info:
+  features:
+    - name: chunk_id
+      dtype: string
+    - name: chunk_hash
+      dtype: int64
+    - name: text
+      dtype: string
+    - name: paper_id
+      dtype: string
+    - name: title
+      dtype: string
+    - name: section
+      dtype: string
+    - name: subsection
+      dtype: string
+    - name: paragraph_index
+      dtype: int64
+    - name: keywords
+      dtype: string
+    - name: boost
+      dtype: float32
+---
+
+# bio-faiss-longevity-v1
+
+A FAISS index + metadata for scientific retrieval
+
+## Contents
+
+- `index.faiss`: FAISS index (cosine w/ inner product).
+- `meta.jsonl`: one JSON per chunk; fields include `chunk_id`, `paper_id`, `title`, `section`, `subsection`, `paragraph_index`, `keywords`, `boost`.
+- `index.info.json`: (optional) dimensions, index type, faiss version.
+
+## Build provenance
+
+- Chunking: hierarchical (section→paragraph→~480-token chunks, ~15% overlap)
+- Embedder: `bio-protocol/neophyte-retriever` (mean-pooled, L2-normalized)
+- Similarity: cosine via inner product
+- FAISS type: `IndexFlatIP` (or your choice)
+
+## How to load
+
+```python
+import faiss, json, numpy as np, hashlib
+from huggingface_hub import hf_hub_download
+
+REPO = "bio-protocol/neophyte-faiss-index-v1"
+IDX  = hf_hub_download(REPO, "index.faiss", repo_type="dataset")
+META = hf_hub_download(REPO, "meta.jsonl",  repo_type="dataset")
+index = faiss.read_index(IDX)
+
+# stable 64-bit ids (must match your build)
+def stable64(s: str) -> int:
+    try:
+        import faiss
+        if hasattr(faiss, "hash64"): return int(faiss.hash64(s))
+    except Exception:
+        pass
+    return int.from_bytes(hashlib.blake2b(s.encode(), digest_size=8).digest(), "little", signed=False) - (1<<63)
+
+id2meta = {}
+with open(META, "r", encoding="utf-8") as f:
+    for line in f:
+        md = json.loads(line)
+        id2meta[stable64(md["chunk_id"])]=md
+```

data/train.parquet

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+size 95923985

done_chunk_ids.txt

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+size 12484174

index.faiss

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+size 594279930

meta.jsonl

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+oid sha256:ef23b9669c0d240d2e455c2bebd86eb1a64ff3bff3d459fefd9f73a8fbf5ba9b
+size 87014666