Keep original SFT dataset only

README.md

@@ -1,90 +0,0 @@
----
-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
-
-Complete release. All published payload files have been verified against their SHA-256 hashes.
-
-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/`: snapshots of existing correction-SFT, GRPO, and evaluation helper annotations. 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.
-
-## Auxiliary annotation inventory
-
-The following counts describe the files currently present on the source server. The canonical training and test sets are the two files under `annotations/`; auxiliary filenames do not establish dataset size or correspondence to a final model checkpoint. For example, the file whose name includes `gt8192` currently contains 3 records, and `train_action_grpo_correction_balanced_v2.jsonl` contains 8 records. They are preserved as found.
-
-| Auxiliary JSONL source | Records |
-|---|---:|
-| `test_50.jsonl` | 3,352 |
-| `train_action_correction_sft_v1.jsonl` | 590 |
-| `train_action_correction_sft_v1_gt8192.jsonl` | 3 |
-| `train_action_grpo.jsonl` | 11,894 |
-| `train_action_grpo_click_calibrated.jsonl` | 12,000 |
-| `train_action_grpo_correction_balanced_v2.jsonl` | 8 |
-| `train_action_grpo_correction_balanced_v2.merged_groups.jsonl` | 54 |
-| `train_action_grpo_correction_balanced_v2.merged_reference.jsonl` | 54 |
-| `train_action_grpo_targeted256_targeted480_correction75_k8_v1_20260902.jsonl` | 256 |
-| `val_action_grpo.jsonl` | 104 |
-
-The accompanying JSON configuration and split-manifest files are also included under `subsets/`.

SHA256SUMS

@@ -1,82 +0,0 @@
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-34e7b2d656f13241eea8c32435ee4525966ec3ad611eddedbf64ce3e81168363  extract_dataset.py
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extract_dataset.py

@@ -1,26 +0,0 @@
-"""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/image_manifests/iso_images.jsonl.gz

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