datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
browser-tool-use-trajectories
Browser Tool Use Trajectories
Rights & intended use: legacy public research corpus / portfolio
artifact. Hosted frontier-model outputs are research-only inputs under
project policy (synthetic-factory#161):
intended_use: research_only, project_training_policy: blocked. Not
training data for any model-weight update. Machine-readable record:
rights.json.
Release status: The raw, uncurated payload is now published under
data/raw/. It is available for inspection and… See the full description on the dataset page: https://huggingface.co/datasets/rmems/browser-tool-use-trajectories.nnetnav-exploration-browseruse
NNetNav exploration data → executed-action decisions with browser-use-style observations
Web-navigation decisions ("which action next?") derived from the raw exploration logs of
NNetNav (Murty, Zhu, Bahdanau, Manning: NNetNav: Unsupervised Learning of Browser
Agents Through Environment Interaction in the Wild), published as
ProKil/nnetnav-exploration-data (CC-BY-4.0,
revision ccb40bbe32). All credit for the explorations, the retroactive instructions and the
recordings goes to… See the full description on the dataset page: https://huggingface.co/datasets/johannhartmann/nnetnav-exploration-browseruse.awesome-browser-use-prompts
Awesome Browser-Use Prompts
A curated collection of effective prompts for Browser-Use, the framework that enables AI agents to control web browsers. This repository aims to provide examples, templates, and best practices for crafting prompts that maximize the capabilities of Browser-Use agents.
Introduction
Browser-Use allows language models to interact with web interfaces through natural language instructions. Effective prompting is crucial to achieving successful… See the full description on the dataset page: https://huggingface.co/datasets/metehan777/awesome-browser-use-prompts.browser-use-text