JulianAT/SynthUI-Code-2k-v1

Synth UI 🎹

https://www.synthui.design

Dataset details

This dataset aims to provide a diverse collection of NextJS code snippets, along with their corresponding instructions, to facilitate the training of language models for NextJS-related tasks. It is designed to cover a wide range of NextJS functionalities, including UI components, routing, state management, and more.

This dataset consists of:

Note: The dataset is seperated into two main parts:

• raw Contains only the raw code snippets
• instruct Contains the code snippets along with ~2000 QA pairs

Raw Code Snippets

• ~2000 Code Snippets (scraped from GitHub)
• keys: text, id, metadata, __index_level_0__

QA pairs

• ~2000 QA pairs (augmented with GPT-4o completions)
• keys: instruction, output, metadata

Each row also stores the following metadata:

• file_path: The relative path to the file where the code snippet is located in the parent repository
• repo_id: The unique identifier of the GitHub repository
• token_count: The number of tokens in the code snippet (using gpt2 tokenizer)

This dataset contains data scraped from following github repos

Note: The data was scraped on 2024-10-04

ICON_REPOS = [
    "lucide-icons/lucide"                               # ISC
]
UI_REPOS = [
    "shadcn-ui/ui",                                     # MIT
    "DarkInventor/easy-ui"                              # MIT
]
CODE_REPOS = [
    "moinulmoin/chadnext",                              # MIT
    "shadcn-ui/taxonomy",                               # MIT
    "horizon-ui/shadcn-nextjs-boilerplate",             # MIT
    "alifarooq9/rapidlaunch",                           # MIT
    "ixartz/SaaS-Boilerplate",                          # MIT
    "nobruf/shadcn-landing-page"                        # None
]

Loading

# Raw Code Snippets
dataset = load_dataset("JulianAT/SynthUI-Code-2k-v1")

# QA pairs
dataset = load_dataset("JulianAT/SynthUI-Code-Instruct-2k-v1")

Token Distribution (QA)

Code (output column)

Instruction (instruction column)

License

This dataset is licensed under the MIT License.