Simplify dataset card and describe the full benchmark
Browse files- README.md +30 -165
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README.md
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- blender
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- storyboard
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- camera-planning
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- embodied-observation
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- narrative-grounding
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- dynamic-scenes
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- look-before-move
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path: metadata/stories.jsonl
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---
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# CineBoard3D++: Dynamic 3D Story
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<!-- RELEASE_STATUS_START -->
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> Initial batch upload in progress: **0 / 30 story archives verified on the Hub**. Consult `upload_status` in [metadata/stories.jsonl](metadata/stories.jsonl) and [release_status.json](release_status.json) for availability. Only `verified` rows have completed local validation and match the Hub-reported archive SHA-256 and length.
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<!-- RELEASE_STATUS_END -->
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## Dataset summary
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CineBoard3D++ packages editable Blender story worlds for studying cameras as active observers. It accompanies **Look-Before-Move: Narrative-Grounded World Visual Attention in Dynamic 3D Story Worlds**, by Jiaming Bian, Bingliang Li, Yuehao Wu, Pichao Wang, Zhi Wang, Hailan Ma, Huadong Mo, and Zhenhong Sun.
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The research framework specifies the desired observation before planning camera motion: a Semantic Observation Contract expresses narrative requirements, Monte Carlo Viewpoint Search selects feasible views, and Semantic Trajectory Grounding connects observations over time. The benchmark is built using StoryBlender and evaluates subject perception, intent consistency, and trajectory quality. See the [paper](https://arxiv.org/abs/2606.26964) for the method and evaluation protocol.
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The files prepared here are native 3D project packages, not a guarantee that every story already contains final camera trajectories, rendered videos, or an artifact-free reconstruction. The initial batch was supplied by the maintainers as size-adjusted story projects.
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## Paper and resources
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- [Dataset on Hugging Face](https://huggingface.co/datasets/EngineeringAI-LAB/CineBoard3D-plus)
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- [Project page](https://engineeringai-lab.github.io/Look-Before-Move/)
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- [Paper on arXiv](https://arxiv.org/abs/2606.26964)
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- [Paper PDF](https://arxiv.org/pdf/2606.26964)
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- [Code](https://github.com/EngineeringAI-LAB/Look-Before-Move)
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## Release scope and statistics
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The **paper's full benchmark** reports **50 stories, 457 scenes, 1,585 shots, and 3,197 assets**, including 836 plot-related and 2,361 supplementary assets. These are paper-level statistics, not the size of the initial downloadable batch. [Benchmark description](https://arxiv.org/html/2606.26964v2#S3.SS1)
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| Quantity | Initial batch (check upload status for availability) |
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|---|---:|
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| Story archives | 30 |
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| Native Blender project files | 30 |
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| Scenes referenced in latest project JSON | 278 |
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| Shots referenced in latest project JSON | 962 |
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| Project-local asset IDs | 1,932 |
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| Total archive size | 636,579,890,176 bytes / 592.86 GiB |
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| Packaging | One TAR per story |
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Local counts were obtained by reading archive headers and the latest versioned project JSON on 2026-09-08. Asset IDs are counted once within each story across the core and supplementary asset sheets; they are not counts of globally unique meshes or every instantiated Blender object. Scene/shot counts describe the supplied project metadata, not a new evaluation run. Each archive is validated and assigned a full SHA-256 before upload; pending rows must not be interpreted as already validated or downloadable.
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This is an **incremental release**. Additional repaired stories will be added without implying that all 50 stories are already available. Later exports or corrections may differ from the paper snapshot; use a pinned repository revision and its manifest when reporting experiments.
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## Story inventory
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| Story | Scenes | Shots |
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|---|---:|---:|
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| 12 Years a Slave | 10 | 30 |
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| A Beautiful Mind | 10 | 32 |
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| A Man Called Ove | 9 | 33 |
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| A Perfect World | 9 | 27 |
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| About Time | 8 | 26 |
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| Amélie | 10 | 36 |
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| Before Midnight | 7 | 23 |
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| Before Sunrise | 10 | 41 |
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| Before Sunset | 10 | 40 |
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| Big Fish | 10 | 32 |
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| Braveheart | 8 | 29 |
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| Brokeback Mountain | 8 | 28 |
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| Call Me by Your Name | 10 | 40 |
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| Catch Me If You Can | 10 | 35 |
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| Cinema Paradiso | 7 | 21 |
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| Darkest Hour | 8 | 32 |
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| Dead Poets Society | 10 | 36 |
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| Flipped | 10 | 37 |
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| Forrest Gump | 8 | 23 |
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| Gisaengchung | 10 | 34 |
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| The Godfather Part III | 10 | 42 |
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| The Godfather | 9 | 41 |
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| The Grand Budapest Hotel | 10 | 36 |
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| The Imitation Game | 10 | 31 |
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| The Intouchables | 10 | 32 |
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| The Notebook | 8 | 29 |
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| The Pursuit of Happyness | 10 | 30 |
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| The Turin Horse | 10 | 29 |
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| Three Billboards Outside Ebbing, Missouri | 10 | 31 |
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| Waterloo Bridge | 9 | 26 |
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Exact filenames, Unicode spelling, sizes, and Blender entry paths are listed in [metadata/stories.jsonl](metadata/stories.jsonl).
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## Repository and project structure
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The Hub layout for this release is:
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```text
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README.md
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LICENSE.md
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release_status.json
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metadata/
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stories.jsonl
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stories/
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12 Years a Slave.tar
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A Beautiful Mind.tar
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...
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```
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Each archive retains its story directory and project files. Typical contents include:
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```text
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<story>/
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story.txt
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step_9.blend
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director/
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layout_script/
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supplementary_layout_script/
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models/
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formatted_model/
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resized_model/
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supplementary_assets/
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formatted_supplementary_assets/
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resized_supplementary_assets/
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rigged_models/
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animated_models/
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```
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The inventory identifies exact entry paths: for example, the supplied `Catch Me If You Can` archive uses `step9.blend`. Directory contents and JSON version numbers vary by story; some archives retain historical `.blend1` backups and a Windows shortcut. Retain the project resources, but do not execute shortcuts or untrusted embedded scripts. The inventory counts the primary `.blend` files separately from backups.
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The
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|---|---|
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| `story` | Story/project identifier |
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| `archive_path` | Archive path relative to the Hub repository |
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| `archive_bytes` | Archive length in bytes |
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| `scene_count`, `shot_count` | Unique scene and scene/shot identifiers in the latest JSON |
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| `asset_count` | Distinct asset IDs within the story's core and supplementary sheets |
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| `blend_files` | Native project entry paths inside the archive |
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| `archive_file_count` | Number of regular files in the archive |
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| `release_batch` | Release-batch identifier |
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| `verification` | Validation performed so far; not a visual-quality guarantee |
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| `archive_sha256` | SHA-256 of the entire TAR, populated after validation |
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| `upload_status` | `pending` or `verified`; only `verified` confirms Hub availability |
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| `archive_commit` | Commit containing the verified archive, or empty while pending |
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2. Extract it with a TAR-capable tool, preserving the story directory and filenames.
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3. Open the listed `.blend` file in Blender. Release checks use Blender **4.5.5 LTS**; compatibility with other Blender versions is not guaranteed.
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4. Explore the scenes and shot scenes, inspect layouts and animation, or use the accompanying code for camera-planning experiments.
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5. If an export retains absolute resource paths, relink resources to the extracted project folder. StoryBlender's path utilities support rebasing known project subdirectories.
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tar -xf "12 Years a Slave.tar"
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```
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- Size adjustment is distinct from complete visual acceptance. A package can still contain imperfect model proportions, occlusion, animation, or scene layout.
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- The selection of stories is not a representative sample of real-world environments or cultures. Some stories involve violence, war, discrimination, or other sensitive themes.
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- For each published archive, release checks read the entire TAR for SHA-256, validate archive paths and lengths, parse JSON/GLB metadata, verify image files, and reopen primary and backup Blender files with script auto-execution disabled. Text blocks and string custom properties receive a credential-pattern scan. These checks are not a guarantee that every possible secret or security issue has been detected.
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- The upload pass does not rerender all 30 initial archives or certify every material, animation frame, collision, or camera result. Remote verification compares Hub-reported SHA-256 and length; it does not download the entire dataset a second time.
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- No new official split or benchmark score is introduced by this release card. Follow the paper and versioned evaluation code for experimental comparisons.
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The
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##
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```bibtex
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@misc{bian2026lookbeforemovenarrativegroundedworldvisual,
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url={https://arxiv.org/abs/2606.26964}
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}
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```
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StoryBlender is the underlying world-construction system. Please also acknowledge upstream tools and third-party assets as required by their respective terms.
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## Contact
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For dataset corrections or reproducibility issues, use the [Look-Before-Move repository](https://github.com/EngineeringAI-LAB/Look-Before-Move/issues) and include the story, scene/shot, archive revision, and a minimal description of the problem.
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- blender
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- storyboard
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- camera-planning
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- narrative-grounding
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- dynamic-scenes
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- look-before-move
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path: metadata/stories.jsonl
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---
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# 🎬 CineBoard3D++: Dynamic 3D Story World Dataset
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## 📊 Dataset Summary
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CineBoard3D++ is a collection of editable, movie-inspired 3D story worlds built with StoryBlender for narrative-grounded camera planning and world visual attention. It brings together story scripts, animated characters, scene geometry, and shot-level configurations in native Blender projects.
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The benchmark covers **50 stories, 457 scenes, 1,585 shots, and 3,197 3D assets** (836 plot-related and 2,361 supplementary assets). It supports evaluation of subject perception, intent consistency, and trajectory quality.
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This dataset accompanies the paper **“Look-Before-Move: Narrative-Grounded World Visual Attention in Dynamic 3D Story Worlds.”**
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## 📄 Paper
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**Title:** Look-Before-Move: Narrative-Grounded World Visual Attention in Dynamic 3D Story Worlds
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**Authors:** Jiaming Bian, Bingliang Li, Yuehao Wu, Pichao Wang, Zhi Wang, Hailan Ma, Huadong Mo†, Zhenhong Sun†
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(†: Co-corresponding author)
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**Overview:** Look-Before-Move treats the camera as an active observer: it determines what the narrative requires it to see before planning movement. A Semantic Observation Contract specifies visual requirements, Monte Carlo Viewpoint Search selects feasible viewpoints, and Semantic Trajectory Grounding connects them into coherent, collision-aware camera motion.
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## 🔗 Project Page
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- 🌐 **Project:** [Look-Before-Move](https://engineeringai-lab.github.io/Look-Before-Move/)
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- 📜 **arXiv:** [2606.26964](https://arxiv.org/abs/2606.26964)
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- 📑 **PDF:** [Read the paper](https://arxiv.org/pdf/2606.26964)
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- 💻 **Code:** [EngineeringAI-LAB/Look-Before-Move](https://github.com/EngineeringAI-LAB/Look-Before-Move)
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## 📁 Dataset Structure
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Each story is packaged as a single archive under `stories/`, such as `12 Years a Slave.tar`, `A Beautiful Mind.tar`, and `The Godfather.tar`. Story packages contain:
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- 🎞️ **Blender projects** (`.blend`) with editable scenes and character animations.
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- 📝 **Story scripts and JSON metadata** describing assets, layouts, scenes, and shots.
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- 🧩 **Project resources**, including 3D models, textures, and animation assets.
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The [story index](metadata/stories.jsonl) lists archive paths, project entry files, and checksums.
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## 🚀 Usage
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1. ⬇️ Download a story archive from [`stories/`](https://huggingface.co/datasets/EngineeringAI-LAB/CineBoard3D-plus/tree/main/stories).
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2. 📦 Extract the archive, keeping its project folders together.
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3. 🖥️ Open the story’s `.blend` file in Blender (usually `step_9.blend`).
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4. 🎨 Explore scenes and animations, edit the world, or use the [code](https://github.com/EngineeringAI-LAB/Look-Before-Move) for camera-planning experiments.
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## ⚖️ License
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CineBoard3D++ is released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). Third-party assets retain their applicable licenses and attribution requirements; see [LICENSE.md](LICENSE.md).
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## 📚 Citation
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If you use CineBoard3D++ in your research, please cite:
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```bibtex
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@misc{bian2026lookbeforemovenarrativegroundedworldvisual,
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url={https://arxiv.org/abs/2606.26964}
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}
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```
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metadata/stories.jsonl
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{"story": "12 Years a Slave", "archive_path": "stories/12 Years a Slave.tar", "archive_bytes": 19329226752, "scene_count": 10, "shot_count": 30, "asset_count": 81, "blend_files": ["12 Years a Slave/step_9.blend"], "archive_file_count": 900, "
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{"story": "A Beautiful Mind", "archive_path": "stories/A Beautiful Mind.tar", "archive_bytes": 17471946752, "scene_count": 10, "shot_count": 32, "asset_count": 89, "blend_files": ["A Beautiful Mind/step_9.blend"], "archive_file_count": 956, "
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{"story": "A Man Called Ove", "archive_path": "stories/A Man Called Ove.tar", "archive_bytes": 11878724096, "scene_count": 9, "shot_count": 33, "asset_count": 48, "blend_files": ["A Man Called Ove/step_9.blend"], "archive_file_count": 530, "
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{"story": "A Perfect World", "archive_path": "stories/A Perfect World.tar", "archive_bytes": 16063333376, "scene_count": 9, "shot_count": 27, "asset_count": 66, "blend_files": ["A Perfect World/step_9.blend"], "archive_file_count": 682, "
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{"story": "About Time", "archive_path": "stories/About Time.tar", "archive_bytes": 11597045760, "scene_count": 8, "shot_count": 26, "asset_count": 56, "blend_files": ["About Time/step_9.blend"], "archive_file_count": 580, "
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