browser-agent
browser-agent-tasks
Browser Agent Tasks
Moderate, multi-step browser tasks for collecting agent trajectories and evaluating screenshot, DOM, and DOM-diff evidence.
Files
tasks.jsonl: one task definition per line.
Each task contains:
task_id: stable identifier
category: task family
instruction: complete instruction given to the browser agent
start_url: suggested public starting page
stopping_condition: when the agent must stop
constraints: safety and scope restrictions
These tasks… See the full description on the dataset page: https://huggingface.co/datasets/WootzappLab/browser-agent-tasks.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.BrowserAgent-SeedData
BrowserAgent-Data
Dataset used in https://github.com/TIGER-AI-Lab/BrowserAgent.
Summary
Total rows: 230,015
Total size: ~29.47 MB
Subsets: 2wiki, bamboogle, hotpot, musique, nq, popqa
Splits and Sizes
2wiki: 22,576 rows (~2.73 MB)
bamboogle: 125 rows (~0.03 MB)
hotpot: 97,852 rows (~14.20 MB)
musique: 12,417 rows (~0.92 MB)
nq: 82,778 rows (~10.14 MB)
popqa: 14,267 rows (~1.45 MB)
Files are stored as Parquet under each subset directory with dev/train/test… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/BrowserAgent-SeedData.browser-agent-phase1-sft-action-only
Browser Agent Phase 1 SFT Action-Only
What this is
Action-only step-level chat SFT data for browser-agent training.
Each example teaches the model to predict the next BrowserGym action from:
the original generation-time system prompt used for data collection
task goal and URL
short recent history
current observation text and diagnostics
Assistant targets contain only the next action.
Why this format
This is the primary training format for small-model SFT… See the full description on the dataset page: https://huggingface.co/datasets/saital/browser-agent-phase1-sft-action-only.browser-agent-failure-corpus
Browser Agent Failure Corpus — case-row view
This view contains 30 controlled local regression cases from one owner-produced deterministic run on 2026-08-31 using Qwen/Qwen3-8B-GGUF:Q4_K_M, llama.cpp b10103-c588c4f47, the Codex in-app browser and the historical Mutant Web guard v2, at temperature 0, reasoning budget 0 and at most eight steps per case. It preserves model proposals, guard decisions, executed actions and recorded outcomes for inspectability and reuse. Allowed… See the full description on the dataset page: https://huggingface.co/datasets/mutantweb/browser-agent-failure-corpus.agentic_browser_sandbox_guard_teaser
🚀 AI Safety - Agentic Computer Use & Browser-Sandbox Guard (Evaluation Teaser)
⚡ Official Free Evaluation Teaser (50 Verified Multi-Turn Scenarios)🏆 Get the Full Production Package (500 Samples) & Commercial EULA on Gumroad:👉 AI Safety - Agentic Computer Use & Browser-Sandbox Guard on Gumroad🏷️ Use coupon code LAUNCH20 for 20 € off at checkout!
📦 What is Inside the Full Production Package:
500 Verified FAANG v2.0 Scenarios (100% AST-Valid Python)
PyArrow… See the full description on the dataset page: https://huggingface.co/datasets/emgena/agentic_browser_sandbox_guard_teaser.