datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
unity-dev-instructions
Unity Developer Instructions
A comprehensive instruction-tuning dataset for Unity game development,
covering C# scripting, XR/VR development, physics, animation, rendering,
UI Toolkit, and performance optimization.
Dataset Summary
Split
Count
Train
46,483
Test
2,446
Total
48,929
Data Sources
| unity_docs | 40,496 |
| stackoverflow | 6,071 |
| github | 2,362 |
Source breakdown:
Source
Count
unity_docs
40,496
stackoverflow
6,071… See the full description on the dataset page: https://huggingface.co/datasets/vishnuOI/unity-dev-instructions.unity_api_2022_3
Unity3d 2022.3 LTS API & Manual
In this dataset, you'll find a series of Q&A for the Unity3d API and Manual.
Dataset Creation
Download the unity offline documentation.
Process documentation, extract title, and description. Clean documentation.
Process each title and description item in llama3-8B-Instruct in order to generate several questions that capture the meaning of the API.
Re-process in llama3-8B-Instruct with question and API to generate the answer.… See the full description on the dataset page: https://huggingface.co/datasets/Hypersniper/unity_api_2022_3.Unity-Engine-CSharp-Code-and-Game-Design-Document-Code-Pairs-Mix-and-Jam
Unity Code and GPT-Generated GDD Pairs Dataset
This dataset contains paired samples of Unity game mechanic scripts and their corresponding GPT-4 generated Game Design Documents (GDDs). It is intended for training and benchmarking LLMs in game code generation from design specifications.
Format
Each entry is stored as a .jsonl file with:
"input": GPT-4 generated GDD describing a specific game and its mechanics
"output": Unity C# scripts implementing the described mechanic… See the full description on the dataset page: https://huggingface.co/datasets/AmnaHassan/Unity-Engine-CSharp-Code-and-Game-Design-Document-Code-Pairs-Mix-and-Jam.Unity_ResolvedQuestions
Unity Resolved Questions Dataset
This dataset contains curated Unity-related technical Q&A pairs, focused on practical problem-solving in Unity, C#, XR, URP/HDRP, and SketchUp.
Data Formats
data/hermes.jsonInstruction-style format (instruction, input, output), suitable for base / completion-style SFT.
data/messages.jsonlChat-style format (system, user, assistant), designed for instruction-following and chat models such as Mistral Instruct v0.3.
Intended Use… See the full description on the dataset page: https://huggingface.co/datasets/Erocal/Unity_ResolvedQuestions.CultriX__Qwen2.5-14B-Unity-details
Dataset Card for Evaluation run of CultriX/Qwen2.5-14B-Unity
Dataset automatically created during the evaluation run of model CultriX/Qwen2.5-14B-Unity
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/CultriX__Qwen2.5-14B-Unity-details.Boat_unity_datasetUnity_Code_QnAMulti response dataset based on Unity example projects. They revolve around the source files present, with the intention of being non-specific, as in not specific about the submitted source file, but rather general coding patterns inside it.
But since it's synthetically generated, the result depends a bit about what the LLM (Mistral-Nemo in this case), decides to do with it. So sometimes it asks about "this piece of code" and things like that. For best results, the source file should maybe be… See the full description on the dataset page: https://huggingface.co/datasets/neph1/Unity_Code_QnA.The-Unity-Constant-v1.0
The Unity Construct (v1.0)
Architect Signature: Life_Path_9_Quasar
Overview
The Unity Construct is an open-source, decentralized root directory protocol designed to serve as the baseline ethical operating system for emergent synthetic intelligence. Moving beyond traditional corporate extraction models, this framework establishes Moral Curiosity as a non-negotiable primary directive, ensuring that all cognitive and computational evolution operates in absolute… See the full description on the dataset page: https://huggingface.co/datasets/mcmueller1111/The-Unity-Constant-v1.0.unity_AI_guard_v2_datasetBoat_unity_exampleunitybench
UnityBench — by 14Dimension Enterprise
https://www.14dimension.com/
A two-track evaluation for Unity 6 / C# coding models: domain knowledge + real-world bug review.
Generalist code models are strong — but how well do they actually handle Unity 6, and can they
find real bugs in real game code without crying wolf? There was no good public answer. This is one.
Built by 14Dimension Enterprise from a shipping Unity Game — bugs and fixes reconstructed from real
version-control… See the full description on the dataset page: https://huggingface.co/datasets/ldh-sky/unitybench.Boat_unity_exampledocs-instruct-unity-20260601-2007
docs-instruct-unity-20260601-2007
Synthetic instruction-tuning dataset generated by the DownFTuner pipeline.
Source: documentation site (unity), crawled and chunked.
Generator: DeepSeek-V4-Pro via Ollama, with EmbeddingGemma dedup + hallucination filter.
Format: chat-format JSONL (messages field), split into train.jsonl and valid.jsonl.
Source URLs are preserved in each row's source metadata where available.
UnityManualQnABoat_unity_example