datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BlenderLore
The target scope is 22,360 video-associated Blender project instances, not 22,360 distinct tutorial videos. Uploads are in progress, so the currently published files may be a subset of this target. The 44 biomedical project instances and one software-bundled Dome template are excluded.
Data Structure
The dataset is organized as a collection of sample-level directories under assets/. Each directory corresponds to one Blender creation task and follows the structure below:… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/BlenderLore.cua-blenderHoyoverse_Character_ModelsBlenderBench
BlenderBench Dataset
Dataset Description
BlenderBench is a comprehensive benchmark dataset for evaluating models on 3D scene editing tasks in Blender. The dataset challenges agents to understand visual differences between initial and target scenes, then generate appropriate Blender Python code to transform the initial scene to match the target.
Key Features
27 instances across 3 difficulty levels
Multi-modal: Combines visual… See the full description on the dataset page: https://huggingface.co/datasets/DietCoke4671/BlenderBench.BlenderRAG
BlenderRAG Dataset
A dataset for 3D scene and object generation research. Each sample pairs a Blender Python script that procedurally generates a 3D object with a rendered preview image and a natural-language description.
Dataset Summary
The dataset is organized into two top-level scenes — indoor and outdoor — each containing a collection of objects. Every object is represented by three aligned modalities:
File
Modality
Purpose
code_n.py
Python (Blender API)… See the full description on the dataset page: https://huggingface.co/datasets/MaxRondelli/BlenderRAG.blenderbench-direct-results
BlenderBench Direct reproduction artifacts
This dataset preserves artifacts and provenance for an independent, community-run reproduction of the public BlenderBench task set. It is not an official Blender Foundation product, official BlenderBench submission, or leaderboard result.
Experiment
Dataset: DietCoke4671/BlenderBench revision 203e4d325e9438ca55b29bdfc4f6a90842d74e68
Attribution: DietCoke4671 and contributors, CC BY 4.0
Generation model: gpt-6-astra
Codex… See the full description on the dataset page: https://huggingface.co/datasets/michaelgold/blenderbench-direct-results.Hoyoverse_MapsNItems_Blendertextures-for-blenderblender-open-movies-mediaBlenderGaze
BlenderGaze
The BlenderGaze dataset is specifically created to further investigate Visual Perspective Taking (VPT) in Vision Language Models (VLMs). This dataset extends the previously introduced Isle dataset, primarily expanding in terms of size rather than diversity.
BlenderGaze consists of two complementary subsets:
BlenderGaze-Isolated: Contains isolated scenes featuring a humanoid figure and a red box. These scenes are explicitly designed to isolate and test the basic VPT… See the full description on the dataset page: https://huggingface.co/datasets/Gracjan/BlenderGaze.Blenderkit_retail_bench_mini
Blenderkit Retail Bench Mini
Mini subset of the Blenderkit retail 3D-text benchmark (131 assets, ~4.8 GB).
Layout
Path
Description
Source GLB assets
Conditioning renders
Mesh dumps
PBR dumps
Dual-grid views (1024)
PBR voxels
Shape latents
PBR / texture latents
Per-asset metadata
Aggregate stats
Quick start
Or with mirror:
Blender⚠️ Note concernant les droits d'auteur : J'ai fait de mon mieux pour m'assurer que
tout ce contenu est original ou libre de droits. Cependant, vu le volume de fichiers,
il est possible qu'une texture, une image ou un objet appartenant à un autre créateur
s'y soit glissé. Si vous reconnaissez l'une de vos œuvres et que vous souhaitez
être crédité ou demander le retrait du fichier concerné, n'hésitez pas à me contacter
en message privé. Je ferai le nécessaire immédiatement !
transportgs-blender-scenes
TransportGS Blender Scenes
One continuous RGB input stream at 2× speed, with no cut (sequence_000).
These synthetic RGB-D sequences study streaming Gaussian reconstruction when an object moves outside the camera's view. The camera first observes the object, turns away during the move, then returns for a partial revisit. A method must use the observation history to update the object at its new location and clear its old location. no_change sequences test whether it avoids… See the full description on the dataset page: https://huggingface.co/datasets/pengyue-polaron/transportgs-blender-scenes.WuWa_MapsSunBank-blender-outputsBlenderCAD2MinecraftRigsBlenderGym_subsetimages-labels_rune_keypoint_2025-rmuc_blender-model
rune_blender_hkust
<label> <x> <y> <x_range> <y_range> <p1x> <p1y> <p1v> <p2x> <p2y> <p2v> <p3x> <p3y> <p3v>
#### 标签 3 格式
3 <x> <y> <x_range> <y_range>
[blender]
标签格式说明
标签类型
0: 未开的符
1: 瞄准中的符
2: 已打的符
3: 中心点 R
标注格式规范
标签 0/1/2 格式
<label> <x> <y> <x_range> <y_range> <p1x> <p1y> <p1v> <p2x> <p2y> <p2v> <p3x> <p3y> <p3v>
#### 标签 3 格式
3 <x> <y> <x_range> <y_range>
blender_foundation_open_movies_compression_decompression
Introduction
This is a dataset for the task of super video decompression, a subset of the super resolution task. Usually Super Resolution models try to bump the resolution 2x or 4x starting from a fullhd picture, which is already a format rich in data and usually with little noise, in fact many people can barely see the difference in quality between a fullhd and a 4k picture. In many works synthetic datasets are created by adding gaussian noise or JPG compression, simulating the… See the full description on the dataset page: https://huggingface.co/datasets/Fransferdy/blender_foundation_open_movies_compression_decompression.BlenderCAD-Filteredblender-mcp-storage-ds
NanoBotAIAgent/blender-mcp-storage-ds
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern
Usage
from datasets import load_dataset
dataset = load_dataset('NanoBotAIAgent/blender-mcp-storage-ds')
BlenderCAD2-Ollama-Starcoder2-7bblender-3d-layout-720pblender-rendersarch-max-blender-projblender-image-captioningblender