blender
Datasets
All datasets matching “blender”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.Unified-FeedbackCollections of pairwise feedback datasets.
openai/summarize_from_feedback
openai/webgpt_comparisons
Dahoas/instruct-synthetic-prompt-responses
Anthropic/hh-rlhf
lmsys/chatbot_arena_conversations
openbmb/UltraFeedback
argilla/ultrafeedback-binarized-preferences-cleaned
berkeley-nest/Nectar
Codes to reproduce the dataset: jdf-prog/UnifiedFeedback
Dataset formats
{
"id": "...",
"conv_A": [
{
"role": "user",
"content": "...",
},
{
"role": "assistant"… See the full description on the dataset page: https://huggingface.co/datasets/llm-blender/Unified-Feedback.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.