OpenBlender Train: 31,401 Q&A Pairs from Blender 5.0 Documentation

31,401 question-answer pairs form a supervised fine-tuning dataset derived from the official Blender 5.0 user manual and Python API documentation. Author PGCRYPT created this dataset in chat format to train language models for local use within the OpenBlender addon. The dataset was last updated on March 3, 2026.

Use Cases

• Fine-tune a chatbot for Blender software support based on the documented Q&A pairs.
• Train a code assistant for Blender's bpy Python API based on the included API documentation.
• Create a retrieval-augmented generation system for Blender documentation based on the structured chat data.

Strengths

• Contains 31,401 examples, providing substantial training material.
• Includes a defined split with 29,830 training and 1,571 validation examples.
• Data is structured in a chat format with user/assistant roles, which is suitable for conversational model training.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's scope is limited to Blender 5.0 documentation and may not cover other software versions or topics.

Provenance

Source

Blender 5.0 official documentation (user manual and bpy Python API).

Collection Method

Likely processed and formatted into chat-style Q&A pairs.

Time Range

Covers documentation for Blender version 5.0.

Freshness

Last updated 2026-03-03 22:03:13; freshness should be verified.

Geography

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