OSU-NLP-Group/Mind2Web resource
[NeurIPS'23 Spotlight] "Mind2Web: Towards a Generalist Agent for the Web" -- the first LLM-based web agent and benchmark for generalist web agents observed · 2026-08-28
Health v2 · maintenance only
52/100
- Activity 50
- Release rhythm 35
- Longevity 87
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1230
- days_rel: n/a
- days_push: 302
- n_releases_24m: 0
Adoption not part of the score
1021 stars · 124 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Mind2Web is the first dataset and benchmark for developing and evaluating generalist LLM-based web agents that follow natural language instructions to complete complex tasks on real-world websites. It contains over 2,000 open-ended tasks from 137 websites across 31 domains, with crowdsourced action sequences, plus fine-tuning code and models for element ranking and action prediction.
Use cases
- evaluate generalist web agents on real-world websites
- train LLM-based web navigation agents
- benchmark element ranking and action prediction on web pages
- research cross-domain generalization of web agents
- build agents that follow language instructions on any website
- compare web agent performance with macro and micro accuracy metrics
When to choose
- you need a large-scale, diverse benchmark for web agents using real websites rather than simulated ones
- you want to train or fine-tune models for web task automation from language instructions
- you need crowdsourced human action sequences as supervision for web navigation research
- you want paired HTML and screenshot data for multimodal web agent research
When to avoid
- you need a live interactive online evaluation environment rather than offline traces (see Online-Mind2Web or SeeAct instead)
- you only target a small set of specific websites or a simulated sandbox environment
- you need production-ready web automation rather than research benchmarking
- you cannot access the encrypted test set or agree to data contamination prevention terms
Facets
dataset · maturity active
machine-learning agent-framework rag data-science benchmarking nlp artificial-intelligence large-language-models machine-learning web-development data-science python cross-platform web-agent benchmark llm-agent dataset neurips-2023 web-navigation html-understanding huggingface jupyter-notebook academic-research task-automation element-ranking action-prediction ai-agents natural-language-processing research web-server gpu
2 sources
- readme: https://github.com/OSU-NLP-Group/Mind2Web · fetched 2026-08-28 · 2fc60ba492b0
- homepage: https://osu-nlp-group.github.io/Mind2Web/ · fetched 2026-08-29 · 9fe2609f9ee9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| OSU-NLP-Group/Mind2Web | main | 52 |
For agents
markdown · JSON · MCP: product_card(name="OSU-NLP-Group/Mind2Web")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem