React Project

## Overview

React Project is a dataset for object detection tasks - it contains Ids Lh53 annotations for 4,650 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Traffic analytics, rankings, and competitive metrics for react.dev as of September 2025

Devendra174/react-code-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Overview (React Q&A)

Our chatbot will be trained on a specialized Q&A dataset about the React JavaScript library. This React Q&A dataset is provided as a JSON file containing roughly 26,300 question-answer pairs (the exact number may vary slightly). Each entry in the JSON list has a "question" field and a corresponding "answer" field, e.g.:

{"question": "What is React?", "answer": "React is an open-source JavaScript library for building user interfaces..."}

This format (a list of objects with ‘question’ and ‘answer’ strings) is common in QA collections. For comparison, a well-known QA dataset like SQuAD (Stanford Question Answering Dataset) contains on the order of 100,000 question-answer pairs. Our React dataset is smaller but still substantial. It covers many topics relevant to React: definitions (e.g. “What is JSX?”), how-to guides (e.g. “How to install react-datepicker?”), component usage, common patterns, troubleshooting, and performance features.

Because this dataset is domain-specific (about React), it serves as a tailored knowledge base for the chatbot. Using a focused corpus like this is recommended: as noted by experts, “if your QA system focuses on a particular domain (e.g., technical), consider domain-specific corpora” and even curate your own Q&A pairs. This helps the model learn React terminology and concepts deeply. The dataset’s JSON structure (a flat list of QA entries) is simple and ready for loading into typical training pipelines.

Dataset

This dataset was created by bharat0316-a

Released under MIT

Contents

A complete list of live websites using the @tanstack/react-query technology, compiled through global website indexing conducted by WebTechSurvey.

WebApp1K-React-Generations

A comprehensive evaluation dataset containing React component generations from 34 state-of-the-art AI models on 1,000 web application scenarios.

  Dataset Description

This dataset extends the original WebApp1K-React benchmark by including actual code generations from major AI models. Each row contains a web application scenario along with generated React components from 34 different models and their test results.

  Dataset Structure

1… See the full description on the dataset page: https://huggingface.co/datasets/onekq-ai/WebApp1K-React-Generations.

Rapid React

## Overview

Rapid React is a dataset for object detection tasks - it contains Balls annotations for 882 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

A complete list of live websites using the react-jss technology, compiled through global website indexing conducted by WebTechSurvey.

A complete list of live websites using the react-query technology, compiled through global website indexing conducted by WebTechSurvey.

dimsavva/react-sharegpt dataset hosted on Hugging Face and contributed by the HF Datasets community

A complete list of live websites using the react-fontawesome technology, compiled through global website indexing conducted by WebTechSurvey.

A complete list of live websites using the react-dnd technology, compiled through global website indexing conducted by WebTechSurvey.

This dataset is about book subjects. It has 8 rows and is filtered where the books is React Native in action : developing iOS and Android apps with JavaScript. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Flame-Waterfall-React: A Structured Data Synthesis Dataset for Multimodal React Code Generation

Flame-Waterfall-React is a dataset synthesized using the Waterfall-Model-Based Synthesis method, Advancing Vision-Language Models in Front-End Development via Data Synthesis. This dataset is designed to train vision-language models (VLMs) for React code generation from UI design mockups and specifications. The Waterfall synthesis approach mimics real-world software development by… See the full description on the dataset page: https://huggingface.co/datasets/Flame-Code-VLM/Flame-Waterfall-React-Multi-Images.

Date set from the questionnaires filled in by follower islands residents.

Refactoring React-based Web Apps - Dataset

The total assets of React Group with headquarters in the United Kingdom amounted to ************** British pounds in 2023. The reported fiscal year ends on September 30.Compared to 2020, this marks an increase of approximately ************** British pounds. The trend from 2020 to 2023 shows, furthermore, that this increase happened continuously.