Add GUICAD annotations and release preparation metadata

README.md

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+---
+pretty_name: GUICAD
+language:
+- en
+tags:
+- gui-agent
+- cad
+- freecad
+- multimodal
+- imitation-learning
+size_categories:
+- 100K<n<1M
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: annotations/train_final.jsonl.gz
+  - split: test
+    path: annotations/test_final.jsonl.gz
+---
+
+# GUICAD
+
+**Upload in progress.** Please wait for `metadata/release_manifest.json` with `status: complete` before downloading the full release.
+
+GUICAD contains screenshot-conditioned GUI action supervision for creating three-view 2D engineering drawings in FreeCAD's Draft workbench from an isometric part image and a geometric description.
+
+This release preserves the existing server dataset as of 2026-11-04. It does not add terminal `finish` examples, repair images, change action labels, or redefine the training/test split.
+
+| Split | Action examples | Unique parts | GUI screenshots |
+|---|---:|---:|---:|
+| Train | 112,844 | 1,683 | 112,844 |
+| Test | 29,239 | 414 | 29,239 |
+
+Each example references two images: an ISO reference and the FreeCAD screenshot **before** the annotated action. Supported source action labels are `click`, `double_click`, and `type`. Click labels use normalized screen coordinates; type payloads may contain numeric fields, Tab, and Enter. The current task description can include explicit primitive parameters and coordinates, so this release provides geometry-conditioned action supervision rather than independently measuring geometry inference from the ISO image alone.
+
+## Files
+
+- `annotations/train_final.jsonl.gz`, `annotations/test_final.jsonl.gz`: byte-preserved canonical annotations after decompression.
+- `images/iso_images.tar`: one reference image per part.
+- `images/train-*.tar`, `images/test-*.tar`: GUI screenshots, sharded by part and split, retaining original relative paths.
+- `subsets/`: existing correction-SFT, GRPO, and evaluation subset annotations for reproducing earlier experiments. These are subsets or derived training records, **not additional independent splits**. In particular, `test_50.jsonl` was used during development; the accompanying 364-part manifest describes the remainder of the canonical test split.
+- `metadata/source_manifest.json`: original annotation hashes, split statistics, and packaging provenance.
+- `metadata/image_manifests/*.jsonl.gz`: SHA-256, size, and original path for every packaged image.
+- `metadata/release_manifest.json`, `SHA256SUMS`: release payload verification.
+- `extract_dataset.py`: safe extraction and checksum verification.
+
+The root-level server `train_final.jsonl.gz` was a redundant compressed copy; this release regenerates compressed canonical annotations from the verified `train_final.jsonl` source. Model checkpoints, model predictions, credentials, and training logs are not part of this dataset release.
+
+## Download and use
+
+```bash
+pip install -U huggingface_hub
+hf download QLU-LLM/CAD --repo-type dataset --local-dir GUICAD
+python GUICAD/extract_dataset.py --snapshot GUICAD --output GUI_upload
+```
+
+Use a fresh output directory. The extracted layout is:
+
+```text
+GUI_upload/
+  train_final.jsonl
+  test_final.jsonl
+  iso_images/<part_id>.png
+  trajectory/<part_id>/<step>_01_before.png
+  ...existing subset annotation files...
+```
+
+Resolve each annotation's `images` entries relative to `GUI_upload`. The two-image order remains ISO reference first, current GUI screenshot second. `messages`, `present_task`, `task_progress`, label columns, bounding boxes, and source identifiers are retained exactly as in the canonical JSONL files.
+
+This archive-based release is intended for full local reconstruction; the repository viewer is not a substitute for extracting the image archives. Original annotation records remain the authoritative schema.

annotations/test_final.jsonl.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4f740e86a64dd8e149ea38878c3b573f856d0ed18b6c8375a88f042cd88aef90
+size 2693962

annotations/train_final.jsonl.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7b32b8cedb2ccf7dbc74ebacb77f61bda6ea79921d94e525afb4b27feefa7db2
+size 10278347

extract_dataset.py

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+"""Reconstruct the original GUICAD layout from a downloaded repository snapshot."""
+import argparse, gzip, hashlib, json, shutil, tarfile
+from pathlib import Path, PurePosixPath
+p=argparse.ArgumentParser();p.add_argument("--snapshot",type=Path,default=Path("."));p.add_argument("--output",type=Path,default=Path("GUI_upload"));a=p.parse_args()
+manifest=json.loads((a.snapshot/"metadata/release_manifest.json").read_text(encoding="utf-8"))
+if manifest.get("status")!="complete":raise SystemExit("The repository release is not complete.")
+for record in manifest["files"]:
+    path=a.snapshot/record["path"]
+    h=hashlib.sha256()
+    with path.open("rb") as f:
+        for chunk in iter(lambda:f.read(4*1024*1024),b""):h.update(chunk)
+    if h.hexdigest()!=record["sha256"]:raise SystemExit("Checksum mismatch: "+record["path"])
+a.output.mkdir(parents=True,exist_ok=True)
+for archive in sorted((a.snapshot/"images").glob("*.tar")):
+    with tarfile.open(archive,"r") as stream:
+        for member in stream:
+            rel=PurePosixPath(member.name)
+            if not member.isfile() or rel.is_absolute() or ".." in rel.parts:raise SystemExit("Unsafe archive member")
+            target=a.output.joinpath(*rel.parts)
+            if not target.resolve().is_relative_to(a.output.resolve()):raise SystemExit("Unsafe output path")
+            target.parent.mkdir(parents=True,exist_ok=True)
+            with stream.extractfile(member) as src,target.open("xb") as dst:shutil.copyfileobj(src,dst,1024*1024)
+for folder in ["annotations","subsets"]:
+    for source in sorted((a.snapshot/folder).glob("*.gz")):
+        with gzip.open(source,"rb") as src,(a.output/source.name[:-3]).open("xb") as dst:shutil.copyfileobj(src,dst,1024*1024)
+print("Dataset extracted and release checksums verified:",a.output.resolve())

metadata/source_manifest.json

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+{
+  "release_id": "server-snapshot-20261104",
+  "splits": {
+    "train": {
+      "rows": 112844,
+      "parts": 1683,
+      "screenshots": 112844,
+      "screenshot_bytes": 19805029816,
+      "actions": {
+        "click": 49728,
+        "type": 62438,
+        "double_click": 678
+      },
+      "annotation_file": "train_final.jsonl",
+      "annotation_sha256": "08b69723e0772997fdff1a218174d983beef4969d5ad42f07e6e4eeb1ecbd4fa",
+      "annotation_bytes": 501394959
+    },
+    "test": {
+      "rows": 29239,
+      "parts": 414,
+      "screenshots": 29239,
+      "screenshot_bytes": 5126960017,
+      "actions": {
+        "click": 12928,
+        "type": 16118,
+        "double_click": 193
+      },
+      "annotation_file": "test_final.jsonl",
+      "annotation_sha256": "a0a9c3bd89641b33b4c45237157374f0db0e64711d6cf6a1260a419c47bdda7d",
+      "annotation_bytes": 132567380
+    }
+  },
+  "annotations": [
+    {
+      "source": "action_grpo_click_calibrated.json",
+      "remote_path": "subsets/action_grpo_click_calibrated.json.gz",
+      "bytes": 9718,
+      "sha256": "c8415162db6c0b6ca331de86a98cd8428b718243800487fa562c58ee0b9791e4"
+    },
+    {
+      "source": "test_364_manifest.json",
+      "remote_path": "subsets/test_364_manifest.json.gz",
+      "bytes": 21235,
+      "sha256": "98dd69671db939454cb581a0dd173bd953c93efa81fa48ab6141d6f32c622efb"
+    },
+    {
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+      "remote_path": "subsets/test_50.jsonl.gz",
+      "bytes": 14697828,
+      "sha256": "ca1c3b0764f4774dca7b51d0b2bb9fd6660224d6e97e201974645895a45c5a32"
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+    {
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+      "remote_path": "annotations/test_final.jsonl.gz",
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+      "sha256": "a0a9c3bd89641b33b4c45237157374f0db0e64711d6cf6a1260a419c47bdda7d"
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+      "remote_path": "subsets/train_action_correction_sft_v1.jsonl.gz",
+      "bytes": 3104396,
+      "sha256": "518383793363f083ec19d0e819f4e7dc508f0c493b3708843227fa8f4a088308"
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+      "remote_path": "subsets/train_action_grpo_click_calibrated.jsonl.gz",
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+      "remote_path": "subsets/train_action_grpo_correction_balanced_v2.jsonl.gz",
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+      "sha256": "669188704bfb231b09382f504574ee9a969bd87415912a283207c32749f601ca"
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+      "remote_path": "subsets/train_action_grpo_correction_balanced_v2.merged_groups.jsonl.gz",
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