Publish SpaceCode-Bench procedural dataset and native examples

.gitattributes

@@ -58,3 +58,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+examples/reading_library__open_hall__00/base.blend filter=lfs diff=lfs merge=lfs -text
+examples/reading_library__open_hall__00/edited.blend filter=lfs diff=lfs merge=lfs -text
+examples/reading_library__open_hall__00/starter.blend filter=lfs diff=lfs merge=lfs -text

CITATION.cff

@@ -0,0 +1,17 @@
+cff-version: 1.2.0
+message: "Please cite the dataset version and record the evaluator fingerprint used in your experiment."
+type: software
+title: "SpaceCode-Bench: Executable Evaluation of 3D Environments"
+authors:
+  - family-names: Du
+    given-names: Yuhao
+version: "1.0-procedural"
+date-released: 2026-09-14
+repository-code: "https://github.com/KurtDu/SpaceCode-Bench"
+url: "https://kurtdu.github.io/SpaceCode-Bench/"
+license: MIT
+keywords:
+  - 3D environments
+  - Blender
+  - code generation
+  - spatial reasoning

LICENSE

@@ -0,0 +1,22 @@
+MIT License
+
+Copyright (c) 2026 SpaceCode-Bench Contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+

LICENSE-DATA.md

@@ -0,0 +1,15 @@
+# Authored dataset license
+
+The procedurally authored task specifications, reference scenes, geometries and
+renders distributed as SpaceCode-Bench data are licensed under
+[Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/).
+The [legal code](https://creativecommons.org/licenses/by/4.0/legalcode.en) governs.
+
+Attribute the dataset to **SpaceCode-Bench Contributors**, identify the dataset
+version, link to the copy you used, and indicate changes. `CITATION.cff` provides
+a software citation. Citation does not imply that model results have been
+independently verified.
+
+Code is covered by the MIT license in `LICENSE`. Separately supplied local
+decoration source files are not part of the distributed procedural dataset.
+

MANIFEST.sha256.json

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+}

README.md

@@ -0,0 +1,97 @@
+---
+license: cc-by-4.0
+language:
+- en
+- zh
+pretty_name: SpaceCode-Bench
+size_categories:
+- 1K<n<10K
+task_categories:
+- text-generation
+tags:
+- benchmark
+- blender
+- code-generation
+- 3d-environments
+- procedural
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: catalog/train/*.parquet
+  - split: validation
+    path: catalog/validation/*.parquet
+  - split: test
+    path: catalog/test/*.parquet
+---
+
+# SpaceCode-Bench
+
+**Construct, reconstruct and edit native 3D environments with Blender code.**
+
+[Website](https://kurtdu.github.io/SpaceCode-Bench/) · [Code and evaluator](https://github.com/KurtDu/SpaceCode-Bench) · [Protocol](https://github.com/KurtDu/SpaceCode-Bench/blob/main/docs/NATIVE_PROTOCOL.md) · [Complete worked example](https://huggingface.co/datasets/KurtDu/SpaceCode-Bench/tree/main/examples/reading_library__open_hall__00)
+
+SpaceCode-Bench is a procedural development benchmark with **1,200 materialized scenes**, **3,600 task bundles** and **4,800 execution conditions**. Each task publishes a complete numerical contract. Evaluation reopens the native `.blend`, extracts geometry and controlled views, and measures the declared requirements.
+
+Construction starts from text; reconstruction uses one or four calibrated images; editing starts from a supplied native scene. The 40 space profiles cover indoor and outdoor environments across six topologies and five geometric variants. The shared asset grammar has 46 furniture and facility categories.
+
+## Catalogue and native data
+
+The dataset viewer has one row per execution condition. `prompt` contains the full solver request, `contract_json` the complete public contract, and `contract_sha256` its identity. `task_path` locates the task inside the archive named by `archive_file`. `archive_file` is relative to the Hugging Face repository root; `task_path` is relative to the extracted data root. `base_environment_preview` shows the authored base environment for discovery. It is neither an additional solver input nor the edited target; edit starters and targets are in the native archives and website walkthrough.
+
+```python
+from datasets import load_dataset
+
+tasks = load_dataset("KurtDu/SpaceCode-Bench")
+example = tasks["train"][0]
+print(example["task_id"])
+print(example["prompt"])
+```
+
+The Parquet catalogue supports discovery. The 12 archives in `archives/` contain the complete executable data: original native scenes, original PNG observations, public contracts, starters, private evaluator mappings and per-reference validation evidence. `dataset-release.json` identifies every archive and checksum. The GitHub downloader pins an immutable Hub revision and verifies the assembled contents:
+
+```bash
+git clone https://github.com/KurtDu/SpaceCode-Bench.git
+cd SpaceCode-Bench
+python -m venv .venv
+source .venv/bin/activate
+python -m pip install -c requirements-tested.txt .
+python scripts/download_dataset.py
+python scripts/verify_release.py --root data/SpaceCode-Bench-1.0.0-dev-data
+```
+
+The compressed data occupy 3,146,764,769 bytes; the complete assembly occupies 5,530,090,296 bytes. Mount only the resources specified by a task into a solver, never the complete data root. The [worked example](https://huggingface.co/datasets/KurtDu/SpaceCode-Bench/tree/main/examples/reading_library__open_hall__00) provides a full public prompt, native starter and edited scene, builder, independently extracted evidence and clause-level scoring.
+
+## Splits and units
+
+| Split | Scenes | Conditions |
+| --- | ---: | ---: |
+| Train | 895 | 3,580 |
+| Validation | 110 | 440 |
+| Test | 195 | 780 |
+
+A lineage is a profile/topology pair. All five variants and all task conditions of each of the 240 lineages remain in one split. These are same-generator partitions with public references. They do not provide a hidden test set, contamination resistance or demonstrated out-of-distribution transfer.
+
+Coordinates use metres and Z up. Reconstruction supplies exactly one or four matching camera/image pairs at 480×320 pixels. Difficulty labels describe authored topology classes, not measured model difficulty. The collection has six edit operations with 200 scenes each, eight prompt forms with 150 scenes each, 900 English scenes and 300 scenes with Chinese intent plus English numerical requirements.
+
+## Evaluation scope
+
+Native dimensions measure architecture/floors (A), geometric regions and negative space (G), prescribed route clearance/support (F), supplied-view agreement (R) and protected edit geometry (P). The track sets are AGF for construction, AFR for reconstruction and AGFP for editing. The score is their geometric mean scaled to 100; a measured critical failure caps it at 49. Required missing or unresolved measurements produce no aggregate score, even if another failure is already known.
+
+Semantic identity C, visual finish V and full_score remain null. Geometric spans do not establish semantic categories or counts. Protected geometry does not certify material preservation. Physical stability, arbitrary navigability, photorealistic quality and hidden-view correctness are outside this native protocol. Observation thresholds are public development settings, not human-calibrated accuracy estimates.
+
+No formal model results are included. Author controls test the evaluator; they are not model baselines. Results should retain the full planned population, report coverage and failures, distinguish single/multi-view conditions, and estimate uncertainty by resampling lineages within profile families. The [protocol](https://github.com/KurtDu/SpaceCode-Bench/blob/main/docs/NATIVE_PROTOCOL.md) specifies numerical limits and reporting rules.
+
+## Provenance and version
+
+Dataset version: `1.0-procedural`. Protocol: `1.0-native`.
+
+Dataset fingerprint: `6791f24b18c04f8a9b0aa3d8a003ac52147c360a002d6bce70930689afc0448c`.
+
+The frozen corpus records its evaluator-6 author admission and original generation/extraction identities. The current evaluator-7 adds stricter score admission, required-measurement handling, bounded numerical execution and actual dependency checks. New checks are recorded separately; historical evidence is not relabeled. Archive SHA256 manifests bind all payload files and the full data collection.
+
+Geometry is authored with the repository's procedural grammar. No source photographs, decoration archives or commercial assets are distributed. Data are licensed under CC BY 4.0; accompanying code under MIT.
+
+## Citation
+
+Yuhao Du. *SpaceCode-Bench*, version 1.0-procedural, 2026. Record the dataset fingerprint, Hub revision and evaluator fingerprint used in an experiment. Citation metadata is provided in [CITATION.cff](CITATION.cff).

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examples/reading_library__open_hall__00/README.md

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+# Worked example: edit a reading library
+
+Task: `reading_library__open_hall__00__edit`. This is a repository-owned author control, not a model submission.
+
+The complete public request is in `task.json`, `prompt.txt` and `contract.json`. The solver receives `starter.blend` and the published edit region. `edited.blend` is the authored positive control; `base.blend` supplies the original reference environment. These native files have the same SHA256 bindings as the website's corresponding controls.
+
+| Control | A | G | F | P | Native score | Critical pass |
+| --- | ---: | ---: | ---: | ---: | ---: | --- |
+| Requested edit | 1 | 1 | 1 | 1 | 100 | true |
+| Unchanged starter | 1 | 0.9787234043 | 1 | 1 | 49 | false |
+
+The unchanged starter preserves the protected environment but fails the requested intervention. A high mean geometric score cannot override that critical failure. R is inapplicable to editing; C, V and full_score are unmeasured.
+
+`evidence/` and `unchanged-starter-evidence/` contain actual independently extracted geometry, inspection, fixed renders, bound preservation evidence and clause-level results. `starter-evidence/` is the preservation reference. `scoring-requested_edit/` and `scoring-unchanged_starter/` record evaluator-7 numerical recomputation, its process limits and actual dependency identities. `provenance.json` identifies the native artifacts and distinguishes this new numerical run from the preserved extraction. No model API was called.
+
+To rebuild the authored native scenes with Blender 4.2.23:
+
+```bash
+blender --background --factory-startup --python build_scene.py -- \
+  --repository /absolute/path/to/SpaceCode-Bench --out /absolute/path/to/rebuilt
+```
+
+The builder uses `spec.json` and the repository's procedural mesher. A rebuilt `.blend` may differ byte-for-byte because of save metadata; compare extracted geometry under the same documented toolchain. Author generation is a reproducibility aid and is not an allowed solver input.
+
+For model evaluation, download the complete dataset and use the repository's `spacecode batch` or `spacecode evaluate` entry. They validate public/private resources and isolate candidate execution before extraction and numerical scoring. The standalone legacy `spacecode score` command does not implement this native protocol.
+
+Data: CC BY 4.0, Yuhao Du. Builder code: MIT. See the licenses at the repository root.

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+"""Rebuild the repository-owned author example with Blender; no model request."""
+import argparse
+from pathlib import Path
+import json
+import sys
+
+parser = argparse.ArgumentParser()
+parser.add_argument('--repository', type=Path, required=True)
+parser.add_argument('--out', type=Path, required=True)
+args = parser.parse_args(sys.argv[sys.argv.index('--') + 1:])
+sys.path.insert(0, str(args.repository.resolve()))
+from spacecode.corpus.blender_build import build
+build(json.loads(Path(__file__).with_name('spec.json').read_text()), args.out.resolve())

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+{
+  "inputs": {
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+    "observations_sha256": "e1555ddcffa3fc95f8dce86d2223b6e40d1c505585415aefd3024299792162e8",
+    "extractor_sha256": "3f15b14506fe9bb4f2eb7c43501a546a5f234e4c435fb7d98e55efab756f47f7",
+    "blender_sha256": "d41fdcd0d5e2a60698011126cf33ebaa448cf9a5f77e88e216c8be71b15e7c92"
+  },
+  "outputs": {
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+    "inspection.json": "89a4bf486f5f80243313d2a25a56fe801603f1872187a92befbca3e50bdbb2ea",
+    "ray_results.json": "693590caa4098ef6c90e428c1fb888430ed82bcbbc4a106543c07206b0569a98",
+    "beauty_00.png": "54c66d3d84a2abf9d4b535798c50d788cabf6cfcfa54e4782ca3edc5296d857c",
+    "view_00.png": "491a0710431a207d78f1cfa78ccefd0d4e65c317985d6cd3df472a2823dd73ec",
+    "view_01.png": "32ab812e699f8bb872a6e8e85b886c1c2e631077ff4ad965974aebe507a2dea2",
+    "view_02.png": "92199dcb0afa7b5dd6055ba28a5dfddf070dcf1eebf79df43f0f9924463f69f8",
+    "view_03.png": "34964daec4a08516e4a235f671e06acd79e77b67088a17ff617cc0ebb64ff1af"
+  }
+}

examples/reading_library__open_hall__00/evidence/geometry.npz

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examples/reading_library__open_hall__00/evidence/inspection.json

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examples/reading_library__open_hall__00/evidence/preservation_probes.json

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examples/reading_library__open_hall__00/evidence/ray_results.json

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+{"distances": [], "observable": [], "hit_roles": []}