AgentNet
22.6K human-annotated desktop computer-use tasks on Windows, macOS and Ubuntu, released with OpenCUA for training and evaluating vision-language-action models.
AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.
What is this resource?
- Resource type
- Datasets
- Environment
- desktop
- Topics
- data-generation
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-16T06:38:26Z
- Resource ID
- url:964d70c40bfc5ca8e1ee
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- Not recorded
- Data
- mit (publisher model/dataset card)
- Document
- Not recorded
- Weights
- Not recorded
Dataset profile
- Supervision
- computer-use trajectories, synthesized reasoning
- Modalities
- screenshots, instructions, actions, generated reasoning
- Formats
- JSONL, image archives
- Splits
- Not recorded
Scale and counting units
- ≈ 22,600 tasks — AgentNet collection source
The card distinguishes human task instructions from generated summaries, reasoning, reflections, and quality fields. Generated labels are not independent human quality acceptance records.
Compare source-reviewed profiles
Recorded specifications
- disabled
- false
- download url
- https://huggingface.co/datasets/xlangai/AgentNet/tree/main
- gated
- false
- hub id
- xlangai/AgentNet
- languages
- ["en"]
Explore related topics
Related resources
- documented by: OpenCUA: Open Foundations for Computer-Use Agents
Primary evidence and verification
Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.
- editorial primary review
Retrieved 2026-10-16T06:38:26Z. Supports: name, kind, summary, environments, topics, scope, relations.
Content fingerprint
f23c588ea9fb27210f9d605e164a32527a24298ca516df98272ff7ca7110eac6 - editorial primary review
Retrieved 2026-10-16T11:40:46Z. Supports: details.dataset_profile.
Content fingerprint
327a77856df259db0a0c2405478f75a0d0f2bf17c51806abc7c509ad82c3ad57 - huggingface api
Retrieved 2026-10-16T06:38:26Z. Supports: details, licenses.data.
Content fingerprint
f23c588ea9fb27210f9d605e164a32527a24298ca516df98272ff7ca7110eac6
Suggest a correction
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