Trim: remove stale smoke/full-history captures; publish six-step README

README.md

@@ -1,21 +1,28 @@
 # LingBot-VA Attention Analysis Dataset
 
-Private dataset repository containing attention-analysis outputs generated on `h100-server` for the RoboTwin task `grab-the-medium-sized-white-mug-rotate-it-place-it-on-the-table-and-hook-it-onto-the-smooth-dark-gray-rack`.
+Attention-analysis dataset generated on `h100-server` for the RoboTwin task `grab-the-medium-sized-white-mug-rotate-it-place-it-on-the-table-and-hook-it-onto-the-smooth-dark-gray-rack`, using the LingBot-VA 1.0-style velocity FlowMatch inference path (checkpoint `lingbot-va-posttrain-robotwin`).
 
-## Layout
+## Content
 
-- `raw/full-history-10chunks/`: `attn-exp`, 30 layers × 24 heads, 10 chunks, per-CSV logical shape 2400 × 2400.
-- `raw/smoke-8gpu-2chunks/`: `attn-exp-8gpu`, compact 480 × 480 smoke run.
-- `raw/trajectory-steps-000-001-002/`: three-step trajectory capture from `attn-exp-vv-10-3`.
-- `raw/trajectory-6steps/`: six positions `0, 4, 9, 14, 19, 24` from `attn-exp-vv-10-6`; use `summary.json` for shifted scheduler timesteps.
-- `derived/density/top-p-0.9/`: per-layer density CSVs computed by `script/compute_attention_density.py`.
-- `visualizations/attention-heatmaps/`: representative layer-0/head-0 heatmaps and trajectory contact sheets generated from the raw matrices.
-- `visualizations/density/`: layer × step density heatmaps and layer-profile plots.
-- `artifacts/videos/`: the two small `demo.mp4` outputs corresponding to the full-history and six-step runs.
-- `metadata/`: experiment table, source checkout commit, and complete path/size manifest.
+- `artifacts/archives/lingbot-va-attn-trajectory-6steps.tar.gz.part00` … `part09` — the full six-step raw attention capture: 4,320 dense CSV matrices (6 steps `0,4,9,14,19,24` × 30 layers × 24 heads) plus `summary.json`, packed as a single gzip tarball (~77.7 GB) and split into ~8 GiB parts to stay within the Hub per-file limit. Archive sha256: `672366873edd322eed50879226487042f38cbd3afbe7186ba584ef565b806c39`.
+- `derived/density/top-p-0.9/trajectory-6steps/` — per-layer top-p=0.9 attention-density CSVs, one per step, produced by `script/compute_attention_density.py`.
+- `visualizations/attention-heatmaps/trajectory-6steps/` — representative layer/head attention heatmaps and trajectory contact sheets.
+- `visualizations/density/trajectory-6steps/` — layer × step density heatmaps and layer-profile plots.
+- `artifacts/videos/` — the `demo.mp4` output corresponding to the six-step run.
+- `metadata/` — experiment table (`experiments.csv`), source checkout commit (`source-commit.txt`), complete file manifest with per-part checksums (`manifest.json`), and the raw archive checksum (`artifacts/archives/*.sha256`).
+
+## Reconstructing the archive
+
+```bash
+cat lingbot-va-attn-trajectory-6steps.tar.gz.part* > lingbot-va-attn-trajectory-6steps.tar.gz
+sha256sum lingbot-va-attn-trajectory-6steps.tar.gz
+# expect: 672366873edd322eed50879226487042f38cbd3afbe7186ba584ef565b806c39
+tar -tzf lingbot-va-attn-trajectory-6steps.tar.gz | wc -l
+# expect: 4329 (4,320 CSV + 1 summary.json + 8 directory entries)
+```
 
 ## Matrix semantics
 
-Each raw `lXXhYY.csv` is a dense attention matrix. Empty CSV cells encode masked/future columns and are preserved in the raw files; the original `summary.json` files are authoritative for token/chunk boundaries and scheduler timesteps. The six-step trajectory is the LingBot-VA 1.0-style velocity FlowMatch execution path currently wired in this repository, not the VA2 distilled student.
+Each raw `lXXhYY.csv` is a dense attention matrix; empty CSV cells encode masked/future columns and are preserved. The original `summary.json` inside the archive is authoritative for token/chunk boundaries and shifted scheduler timesteps (use `summary.json`, not the step index, for actual timesteps). The six-step trajectory comes from the `attn-exp-vv-10-6` run (`robotwin_i2av`, 10 chunks, 25 denoising updates) and is the LingBot-VA 1.0-style velocity FlowMatch execution path currently wired in this repository, not the VA2 distilled student.
 
-The repository intentionally omits the duplicate `attn-exp.zip` archive and `.pt` inference caches.
+This trimmed release intentionally omits the earlier full-history, smoke, and three-step captures and the duplicate `attn-exp.zip` archive.