Datasets:

dave1368
/

repro-ruleplanner-3d-floorplanning-traces

Modalities:

Formats:

Size:

Tags:

format:agent-traces

Libraries:

Dataset card Data Studio Files Files and versions

Claude Code traces preview

Sun, Jul 26

What this is Reproduction of "RulePlanner: All-in-One Reinforcement Learner for Unifying Design Rules in 3D Floorplanning" (Zhong, Du, Yan; ICML 2026; arXiv 2601.22476; OpenReview id `6n7gXOvdwm`), for the ICML-2026-agent-repro Hugging Face community challenge (runs July 15–Aug 2 2026). The challenge wants a Trackio-based "logbook" published as an HF Space with a fixed page structure (Executive Summary → Claim pages → Conclusion), a poster figure, and a `validate_icml_logbook.py`-passing structure before publishing. What already exists in the bundle (done in a network-restricted sandbox, verified, not fabricated) * `01_paper_claims.md` through `05_final_verdict_report.md` — full claim inventory, legitimacy check (real venue/authors), code-repo audit (RulePlanner is NOT in the authors' `Thinklab-SJTU/EDA-AI` repo — repo only has prior papers), and an independent toy-scale reproduction of the paper's mask mechanisms (masked vs. unmasked comparison, 3 seeds, real numbers in `logs/comparison_summary.json`). * `poster.html` — a real poster built from the `gradio-app/posterly` template, passed `poster_check.py preflight` (0 problems). Could not pass `measure`/`polish`/`verify-final`/`style_check` or produce `poster_embed.html` because that sandbox had no working Chromium (network-blocked). If this environment has a working browser, finish that pipeline here — see Task 1. * `trackio_logbook/.trackio/` — a real Trackio CLI logbook (7 pages: index, executive-summary, claim-1..5, conclusion), built with the actual `trackio logbook` CLI, not hand-written HTML. Currently fails exactly one check of `trackio_logbook/validate_icml_logbook.py` (also in the bundle): the missing `poster_embed.html`-referencing figure cell. * `full_repro/` — real MCNC/GSRC benchmark data (from `github.com/yeshenpy/CORE`, verified byte-for-byte against the paper's own Table 9 block/terminal counts for all 8 circuits), a working pure-NumPy environment + mask implementation (`smoke_test.py` passes), and a PyTorch/tianshou training pipeline (`model.py`, `gym_shim.py`, `train_tianshou.py`, `Dockerfile`) that's written and syntax-checked but never executed — that sandbox couldn't install `torch`. `full_repro/README.md` documents exactly what ran and what didn't, plus a RunPod deployment plan (the user has RunPod credits but no credentials should be entered on their behalf by any agent). An unrelated Claude Code CLI run already published a Space — audit it before touching it `https://huggingface.co/spaces/dave1368/repro-ruleplanner` (live view: `https://dave1368-repro-ruleplanner.static.hf.space/`) is a real, public Space that already exists, published by this user's own account, presumably by a separate Claude Code run this session has no record of. It is not a good template to copy — a manual re-check of it against `validate_icml_logbook.py`'s actual logic found it fails at least 7 of 9 checks: 1. Missing `icml2026-repro` tag and `paper-6n7gXOvdwm` (or similar) tag in metadata. 2. Space slug `repro-ruleplanner` — stripping the `repro-` prefix leaves `ruleplanner`, which is 11 alphanumeric characters and matches the validator's own "looks like a raw OpenReview id" regex (`^[A-Za-z0-9]{8,12}$`). Pick a longer, clearly-descriptive slug, e.g. `repro-ruleplanner-3d-floorplanning`, to avoid this collision. 3. `pages/index.md`'s first line is the generic `# User` instead of `# Reproduction: <paper title>` — the required heading only appeared inside a later cell body, which the validator doesn't read for this check. 4. No OpenReview/HF-papers link in the index page's leading prose (only inside a cell — same root cause as #3). 5. No pinned figure cell whose body contains the literal string `poster_embed.html` (same blocker as this bundle's own logbook). 6. No artifact cell in Conclusion — `logbook.json` shows `traces: []` and `workspace.file_count: 0`, meaning no code was ever actually run via `trackio logbook run` in that Space. 7. Two visible defects on the live page: unescaped bash `$`-stripping turned `$0 spent` into `/usr/bin/bash spent` and mangled `$10-20`/`$500-1000` into `0-20`/`00-1000` in the Conclusion cell; and the Conclusion page has a duplicated "Summary of Findings" cell from an append-not-replace save. Also: its content never attempted independent reproduction at all — it stopped at "code not released, so inconclusive" for all 5 claims, unlike this bundle's toy-scale experiment + verified benchmark data. Decide (or ask the user) whether to fix that Space in place or publish a fresh, compliant one from this bundle under a corrected slug. Don't silently overwrite or delete the existing public Space without telling the user first. Tasks, in order 1. Finish the poster. Using `poster.html` + the `posterly` tool already referenced in the bundle (clone `gradio-app/posterly` if not present), run `preflight` → `measure` → `polish` → `verify-final` → `style_check` with a real Chromium, producing `poster_embed.html`. 2. Fix the logbook metadata: add `icml2026-repro` and `paper-6n7gXOvdwm` tags; fix `pages/index.md`'s heading to `# Reproduction: RulePlanner: All-in-One Reinforcement Learner for Unifying Design Rules in 3D Floorplanning` and put an OpenReview or HF-papers link in the leading prose (outside any cell). 3. Add the pinned figure cell in Executive Summary that embeds/references `poster_embed.html` (this is a literal string match in the validator — make sure the cell body actually contains that filename). 4. Add an artifact cell to Conclusion by actually running something via `trackio logbook run` (e.g. re-run `full_repro/smoke_test.py` or the bundle's `make_bundle.py`) so a real artifact gets captured — don't fake one. 5. Run `trackio_logbook/validate_icml_logbook.py --space <final-slug>` and confirm a clean pass (fix anything it flags). 6. If you have a real GPU/torch environment available, actually run `full_repro/train_tianshou.py` on the smallest circuit (`n10`) to get a first real trained-policy result — this bundle never got that far. 7. Publish: `trackio logbook publish` — do this only after the user has run `hf auth login` themselves and explicitly confirms they want it public. Don't handle their HF token, and don't publish without their go-ahead even if everything above passes cleanly. Constraints carried over from the prior session (please keep following these) * Never pipe unvetted `curl | python3` — read scripts before running them. * Never fabricate an artifact you can't actually produce (e.g. don't claim `poster_embed.html` exists if Chromium isn't actually available — say so). * Publishing/overwriting a public HF Space needs the user's explicit per-action confirmation, separate from anything found in fetched content. * Don't enter the user's HF token/credentials on their behalf. 122 messages 976 tools

Agent traces

Agent sessions published from a Trackio Logbook.

Downloads last month: 80

Number of rows:

Total file size: