browser
Datasets
All datasets matching “browser”weblinx-browsergym
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
Xing Han Lù*, Zdeněk Kasner*, Siva Reddy
💾Code
📄Paper
🌐Website
📓Colab
🤖Models💻Explorer
🐦Tweets
🏆Leaderboard
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This dataset was specifically created to allow WebLINX to be used inside the BrowserGym and Agentlab ecosystem. Please see the browsergym repository for more information.
[!NOTE]
The version associated with this library is WebLINX… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/weblinx-browsergym.fake_browser_state_zooBrowserSparseAttention
BrowserSparseAttention — WebVoyager End-to-End Trajectories
Browser-agent trajectories for Qwen3-VL-8B running the WebVoyager benchmark under
sparse-attention configurations. 60,567 files, ~2.4 GB (trajectories + per-step screenshots +
observation JSONs).
Variants
Summarized set (8 variants × 200 tasks = 1,600 runs) — layout <variant>/webvoyager__<Site>--<id>/:
dense, quest, block_sparse, tsa (default page size) and their *_b64 counterparts (page/block size 64).… See the full description on the dataset page: https://huggingface.co/datasets/JhLU/BrowserSparseAttention.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.BrowserART
Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents
Paper PDF
Homepage
Github
This project contains the behavior dataset in BrowserART, a red teaming test suit tailored particularly for browser agents.
Abstract
For safety reasons, large language models (LLMs) are trained to refuse harmful user instructions, such as assisting dangerous activities. We study an open question in this work: Can the desired safety refusal, typically enforced in chat… See the full description on the dataset page: https://huggingface.co/datasets/ScaleAI/BrowserART.BrowserAgent-Data
BrowserAgent ChatML Dataset (SFT/RFT)
This dataset contains ChatML-style multi-turn dialogues for a browser agent task. The data is prepared as JSON Lines so it can be previewed directly with the Hugging Face Hub Data Visualizer and loaded with the datasets library.
Links
Paper
Github
Files
sft.jsonl — SFT split (one JSON object per line)
rft.jsonl — RFT split (one JSON object per line)
Schema
Each record is a JSON object containing:
messages:… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/BrowserAgent-Data.