datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
HtmlRAG-train
Dataset Information
We release the training data used in HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieval Results in RAG Systems. The training data is sampled from 5 widely used QA datasets, including ASQA, Hotpot-QA, NQ, Trivia-QA, and MuSiQue. You can access the original dataset here.
We apply Bing search API in the US-EN region to search for relevant web pages, and then we scrap static HTML documents through URLs in returned search results. We provide the URLs and… See the full description on the dataset page: https://huggingface.co/datasets/zstanjj/HtmlRAG-train.html-query-text-HtmlRAG
html-query-text-HtmlRAG
Warning: This dataset is under development and its content is subject to change!
This dataset is a processed and cleaned version of the zstanjj/HtmlRAG-train dataset. It has been specifically prepared for task of HTML cleaning.
🚀 Supported Tasks
This dataset is primarily designed for:
HTML Cleaning: Training models to take the messy html as input and generate the cleaned_html or cleaned_text as output.
Question Answering: Training models to… See the full description on the dataset page: https://huggingface.co/datasets/williambrach/html-query-text-HtmlRAG.html
📚 HTML Tags Complete Reference Dataset
A comprehensive, structured dataset of HTML tags with detailed attributes, examples, and metadata. Perfect for learning HTML, building educational tools, or training ML models on web development concepts.
📊 Dataset Description
This dataset contains 85+ HTML tags with rich metadata including tag purpose, category, attributes, usage examples, and more. Each entry provides complete information about an HTML tag, making it an ideal… See the full description on the dataset page: https://huggingface.co/datasets/BarBar288/html.html-description-content
html-description-content
Warning: This dataset is under development and its content is subject to change!
📜 Dataset Summary
This dataset provides a collection of web pages, pairing full raw HTML content with its corresponding ground-truth plaintext content.
A key feature of this dataset is the addition of a LLM-generated (synthetic) query column. This query is a short (1-2 sentence) description of the page's content, designed to be used as a prompt or query for… See the full description on the dataset page: https://huggingface.co/datasets/williambrach/html-description-content.