datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Edge-Agent-Reasoning-WebSearch-260K
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Edge-Agent-Reasoning-WebSearch-260K.WebCompass
WebCompass
A unified multimodal benchmark for evaluating LLMs' ability to generate, edit, and repair functional web pages. WebCompass spans three input modalities — text design documents, reference screenshots, and video demonstrations — and three task families — generation, editing, and repair.
GitHub: NJU-LINK/WebCompass
Project Page: nju-link.github.io/WebCompass
Quick Start
from datasets import load_dataset
# Generation tasks (existing)
ds_text =… See the full description on the dataset page: https://huggingface.co/datasets/NJU-LINK/WebCompass.webui
WebUI
A large-scale dataset pairing real-world UI screenshots with their original HTML, CSS, and JavaScript source code, per-viewport bounding boxes for every visible DOM element, and GPT-4.1 vision descriptions. Every sample is rendered at three responsive breakpoints. Built from public design systems, component libraries, open-source projects, and community code — not synthetically generated.
Overview
Stat
Value
Total rows
36,807
Unique UI samples
12… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/webui.distilled-web
Dataset Card for lenamerkli/distilled-web
This dataset consists of web-scraped data using a custom crawler purpose-built for each website.
Dataset Details
Dataset Sources
Repository: https://github.com/lenamerkli/distilled-web
Uses
This dataset is useful for training large language models.
The train split provides instruction-following and chat data for supervised fine-tuning (SFT) and instruction tuning.
The pretrain split… See the full description on the dataset page: https://huggingface.co/datasets/lenamerkli/distilled-web.Edge-Agent-Reasoning-WebSearch-260K
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/BlueIsGreen/Edge-Agent-Reasoning-WebSearch-260K.Edge-Agent-Reasoning-WebSearch-260K
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/DEMIRUNC/Edge-Agent-Reasoning-WebSearch-260K.iwr-bench-web-reconstruction
IWR-Bench: Interactive Web Reconstruction Benchmark
Summary
IWR-Bench is an Interactive Web Reconstruction benchmark dataset. Each subfolder contains complete data for one website, including interaction recordings, step-by-step screenshots, page assets, and AI-generated frontend code.
The dataset supports training and evaluating AI systems that can reconstruct interactive web pages from exploration recordings -- a key capability for GUI agents, web automation, and code… See the full description on the dataset page: https://huggingface.co/datasets/obaydata/iwr-bench-web-reconstruction.Edge-Agent-Reasoning-WebSearch-260K
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/Torenn/Edge-Agent-Reasoning-WebSearch-260K.edge-agent-reasoning-websearch-260k
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/ppenner/edge-agent-reasoning-websearch-260k.Edge-Agent-Reasoning-WebSearch-260K
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/JACKYS999/Edge-Agent-Reasoning-WebSearch-260K.Agent-Reasoning-WebSearch-260K
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/kanepi-1977/Agent-Reasoning-WebSearch-260K.Edge-Agent-Reasoning-WebSearch-260K
Edge Agent Reasoning WebSearch 260K
Abstract
The Edge-Agent-Reasoning-WebSearch-260K dataset is a massive, synthetically expert-engineered corpus of over 700 Million tokens, designed to train small, local models (SLMs) and edge-deployed agents in advanced problem deconstruction and self-aware reasoning.
Rather than training a model to execute instructions directly—which often leads to hallucinations when context is missing—this dataset trains a model to act as a… See the full description on the dataset page: https://huggingface.co/datasets/svryn/Edge-Agent-Reasoning-WebSearch-260K.webui
WebUI
A large-scale dataset pairing real-world UI screenshots with their original HTML, CSS, and JavaScript source code, per-viewport bounding boxes for every visible DOM element, and GPT-4.1 vision descriptions. Every sample is rendered at three responsive breakpoints. Built from public design systems, component libraries, open-source projects, and community code — not synthetically generated.
Overview
Stat
Value
Total rows
36,807
Unique UI samples
12… See the full description on the dataset page: https://huggingface.co/datasets/MorganTitcher/webui.gui_actor_webdataset
GUI-Actor WebDataset
A WebDataset format version of the GUI-Actor dataset for training vision-language models on GUI interaction tasks.
Usage
import webdataset as wds
# Load the dataset
dataset = wds.WebDataset("path/to/shards-*.tar")
dataset = dataset.decode("pilrgb").to_tuple("jpg", "json")
for image, metadata in dataset:
# Process image and metadata
pass
Citation
Please cite the original GUI-Actor paper if you use this dataset in your research.
pratilipi-bengali-webscrape
Pratilipi Bengali Literature Archive
Overview
This repository contains a large-scale text dataset scraped from bengali.pratilipi.com, a leading storytelling and self-publishing platform for Bengali literature. The primary goal of this archive is to preserve a vast collection of purely human-written Bengali fiction, serials, poems, and essays, creating a distinct record of human creativity and storytelling.
Purpose and Usage
This dataset is published… See the full description on the dataset page: https://huggingface.co/datasets/sayurio/pratilipi-bengali-webscrape.dainikparibarton-web-scrape-bangla
Dainik Paribarton News Archive (Bangla)
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Overview
This repository contains a text dataset scraped from dainikparibarton.com, a Bengali online news portal covering national, regional, sports, and political news in Bangladesh. The primary goal of this archive is to preserve a collection of purely human-written journalism and regional reporting, creating a distinct record of human-authored text separate from AI-generated content.… See the full description on the dataset page: https://huggingface.co/datasets/sayurio/dainikparibarton-web-scrape-bangla.storymirror.com-web-scrape
StoryMirror Multilingual Literature Archive
Overview
This repository contains a large-scale text dataset scraped from storymirror.com, a prominent digital platform for Indian literature. The primary goal of this archive is to preserve a massive, multilingual collection of purely human-written stories, poems, and quotes, creating a distinct record of human creativity and storytelling across various Indian languages.
Purpose and Usage
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/sayurio/storymirror.com-web-scrape.