datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
webchain
WebChain v2
A large-scale, human-annotated dataset of real-world web interaction trajectories for training and evaluating web agents.
[Paper] [Code] [Dataset]
WebChain captures how people complete real tasks on live websites. It is designed for agents that must both identify the correct interface element and reason through a sequence of actions. Each trajectory aligns screenshots, web structure, grounded actions, and reasoning signals instead of treating web navigation as… See the full description on the dataset page: https://huggingface.co/datasets/webagentlab/webchain.webchain-legacy
WebChain
WebChain is a large-scale, human-annotated dataset of real-world web interaction trajectories for training and evaluating GUI agents and web agents. WebChain contains 31,725 trajectories, 317,993 steps, and 428 unique domains. Its core contribution is a Triple Alignment of visual context, structural context, and action grounding, enabling supervision for both spatial grounding and long-horizon planning.
Paper: https://arxiv.org/abs/2603.05295
Open access… See the full description on the dataset page: https://huggingface.co/datasets/webagentlab/webchain-legacy.AFM-WebAgent-RL-Dataset
Data Introduction
This dataset serves as the core training data for Agent Foundation Models (AFMs), specifically designed to elicit end-to-end multi-agent reasoning capabilities in large language models. Built on the novel "Chain-of-Agents (CoA)" paradigm, the dataset leverages a multi-agent distillation framework to transform collaboration processes from state-of-the-art multi-agent systems into trajectory data suitable for supervised fine-tuning (SFT), simulating dynamic… See the full description on the dataset page: https://huggingface.co/datasets/PersonalAILab/AFM-WebAgent-RL-Dataset.web-agent-graph-dataset
Web Agent Grouped Graph Dataset
This dataset contains web navigation tasks in grouped graph format with full history and candidate actions for training reward models.
Data Format
Each line in graph_dataset.jsonl represents a single step with all candidate actions grouped together:
{
"task_id": "...",
"goal": "Find product X and add to cart",
"domain": "shopping",
"step_index": 3,
"history": [
{"state_id": "S0", "screenshot": "...", "url": "...", "obs":… See the full description on the dataset page: https://huggingface.co/datasets/Anish13/web-agent-graph-dataset.webagent-dom-with-imagesagentic-web-cheatsheets
Bowmark: Agentic Web Cheatsheets — Free Sample
Bowmark indexes how websites actually work, for AI agents.
Each row is a cheatsheet for one task on one site: the behavioral gotchas you
only learn by driving the site, a deep-link shortcut where one exists, and a
verification stamp saying how many times it worked and as of when. Every row
was run end-to-end and proven to work — that's the gate to be included.
This repository is a free, curated sample — the strongest… See the full description on the dataset page: https://huggingface.co/datasets/bowmark-ai/agentic-web-cheatsheets.web-search-agent-sft-traces
Dataset Card for "web-search-agent-sft-traces"
More Information needed
web-search-agent-sft-traces2
Dataset Card for "web-search-agent-sft-traces2"
More Information needed
mini_rm_benchmark_for_web_agent
Dataset Card for "mini_rm_benchmark_for_web_agent"
More Information needed
webagent_policy_rationale_formattedqwen-web-agentweb-agent-trajectory-testweb-agent-trajectory-multimodal-testwebagent-domweb-agent-mind2webweb-agent-multitask-flat-failed-stepsoumi-web-agentwebagent_policy_formattedweb-agent-multitask-runs-failedweb-agent-multitask-flat-successful-shortest-stepsagentic_ii_agent_Qwen3_coder_prompt_web_benchagentic_dataset_qwen3_coder_webagentic_ii_agent_Qwen3_coder_prompt_web_bench_verifiedagentic_dataset_qwen3_coder_web_nodeAgentic-WEB-SFT-V1agentic_dataset_qwen3_coder_web-sftAgentic-WEB-SFT-V0agentic_promps_web_benchAgentic-WEB-SFT-V2Agentic-WEB-SFT-Sample