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README.md

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+---
+pretty_name: latenarray-I2CE data cache
+tags:
+- steam
+- game-reviews
+- sentence-embeddings
+- representation-learning
+size_categories:
+- 10M<n<100M
+---
+
+# latenarray-I2CE data cache
+
+These are the precomputed tensors that the w9 workers of the I-CE code release
+(`contrast_experiment/w9/Pod/w9_cv_worker.py`, `w9_a100_worker.py`) read from their
+`--data-dir`. Download the whole folder, rebuild the full pool, and pass the folder as `--data-dir`:
+
+```bash
+hf download chironYu/latenarray-i2ce-data --repo-type dataset --local-dir latenarray-i2ce-data
+cd latenarray-i2ce-data && python join_full_pool.py
+```
+
+`full_pool_fp16.npy` (150.1 GB) is stored as four byte parts under 50 GB each,
+`full_pool_fp16.npy.part00` to `part03`. `join_full_pool.py` concatenates them, checks the
+result against `SHA256SUMS` and deletes the parts (`--keep-parts` keeps them).
+
+The corpus covers 2,020 Steam games released 2020 to 2024: 6,649,325 reviews and
+73,289,517 sentences. Every sentence is embedded once with Qwen/Qwen3-Embedding-0.6B
+(1,024-d, last-token pooling, no instruction prefix, not normalized) and stored as float16.
+The repository holds no review text, only vectors, offsets and identifiers.
+
+| File | Contents |
+|---|---|
+| `full_pool_fp16.npy` | All 73,289,517 sentence vectors, `[73289517, 1024]` float16 (139.8 GiB). Training views are drawn from it (`--full-pool`); the 4,096-sentence evaluation draws read it as well |
+| `full_pool_meta.npz` | `game_names` (2,020), `game_review_offsets` (2,021), `review_offsets` (6,649,326): game g owns reviews `game_review_offsets[g]:[g+1]`, review r owns sentence rows `review_offsets[r]:[r+1]` |
+| `wscan_pool_rev.npy` | The 2,048-sentence review pool per game, `[2020, 2048, 1024]` float16; anchor packs above 512 sentences are rebuilt from it |
+| `wscan_pool_rev_len.npy`, `wscan_pool_rev_rid.npy` | Pool lengths and review ids |
+| `wscan_gal_rev.npz`, `wscan_gal_rev_g1024.npz`, `wscan_gal_rev_g4096.npz` | Prebuilt anchor galleries at 512, 1,024 and 4,096 sentences (the 4,096 one is a single draw used by the fixed-split worker) |
+| `games.npz` | Game names and per-game assets |
+| `wiki_eval.npz`, `wiki_eval_split.json` | The 814-game wiki evaluation universe and its split (seed 20260711) |
+| `wiki_clean_views.npz`, `wiki_llm_views.npz`, `sp_raw_views.npz` | Document views: cleaned Wikipedia, LLM rewrites, store pages |
+| `ss_queries_rev.npz`, `ss_queries_rev_S.npy` | Evaluation queries and their sentence vectors |
+| `tag_labels.npz`, `_tag_splitM.json` | Tag labels (23 coarse classes) and the tag-probe split |

_tag_splitM.json

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+}

full_pool_meta.npz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5f6b8e52a5c62912445a70b3c2cc7bed1e13ff1b17a3d7091bc5d39de49a39f5
+size 53242023

games.npz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2e5264b5f79046c8a8c020699e2d57dac3966f7805d51ed332986e5ed2376824
+size 1067666291

join_full_pool.py

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+"""Rebuild full_pool_fp16.npy from its parts and check it against SHA256SUMS.
+
+usage (inside the downloaded folder):  python join_full_pool.py [--keep-parts]
+"""
+import hashlib
+import sys
+from pathlib import Path
+
+here = Path(__file__).resolve().parent
+sums = dict(reversed(line.split(None, 1)) for line in
+            (here / "SHA256SUMS").read_text().splitlines() if line.strip())
+target = here / "full_pool_fp16.npy"
+parts = sorted(here.glob("full_pool_fp16.npy.part*"))
+if not parts:
+    raise SystemExit("no full_pool_fp16.npy.part* files found")
+h = hashlib.sha256()
+with target.open("wb") as g:
+    for p in parts:
+        with p.open("rb") as f:
+            while b := f.read(64 << 20):
+                g.write(b); h.update(b)
+        print("joined", p.name, flush=True)
+if h.hexdigest() != sums["full_pool_fp16.npy"]:
+    raise SystemExit("SHA-256 mismatch: the rebuilt file is not the original")
+print("full_pool_fp16.npy rebuilt and verified")
+if "--keep-parts" not in sys.argv:
+    for p in parts:
+        p.unlink()

sp_raw_views.npz

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+size 504464391

ss_queries_rev.npz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e89256dc8006a41e349727e14b59e176ba6d98daa2e095efc92f454460899528
+size 129788

ss_queries_rev_S.npy

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+version https://git-lfs.github.com/spec/v1
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+size 8461095040

tag_labels.npz

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+oid sha256:a5ba134c813906e1109bc5bb45a82783b8fa325d8dc92e204c98117c2b956576
+size 78158

wiki_clean_views.npz

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+version https://git-lfs.github.com/spec/v1
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+size 605170402

wiki_eval.npz

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+size 553537506

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