UI-Genie trajectory data

Synthetic mobile GUI trajectory supervision and screenshots released with the UI-Genie agent-training pipeline.

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

android

Topics

data-generation, mobile-navigation, imitation-learning

Record publication date

Not recorded

Evidence retrieved

2026-10-17T04:01:34Z

Resource ID

url:2e1927450da2183a5abe

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 metadata; third-party assets retain their own terms)

Document

Not recorded

Weights

Not recorded

Dataset profile

Supervision

GUI action trajectories

Modalities

screenshots, text, actions

Formats

JSONL, PNG

Splits

Not recorded

Scale and counting units

Public JSONL annotations and screenshots are present. MIT is declared in the dataset card. The release name, model-card links and annotation filename use different size labels; this review does not infer a reliable trajectory count from them.

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Recorded specifications

disabled

false

download url

https://huggingface.co/datasets/HanXiao1999/UI-Genie-Agent-16k/tree/main

gated

false

hub id

HanXiao1999/UI-Genie-Agent-16k

Explore related topics

Scope and limitations

Public JSONL annotations and screenshots are present. MIT is declared in the dataset card. The release name, model-card links and annotation filename use different size labels; this review does not infer a reliable trajectory count from them.

Related resources

• documented by: UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI 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.

1. editorial primary review

   Retrieved 2026-10-17T04:01:34Z. Supports: name, kind, relations, licenses.data.

   Content fingerprint

   a748fc7dbb53d5d751c5ee109e437c377e214b1d837762f8d09995349d86cec9
2. editorial primary review

   Retrieved 2026-10-17T04:01:33Z. Supports: identity, release_status, details, licenses.data.

   Content fingerprint

   548df402288350920a26bff2099544bf21835200ee58ff2c657c331fa6200317
3. editorial primary review

   Retrieved 2026-10-17T03:59:54Z. Supports: summary, environments, topics, scope.

   Content fingerprint

   e08569bd9d8a6ff44537d4fe69243ddfeb8a41ae5c9f87ef84af50a67c64c726
4. huggingface card

   Retrieved 2026-10-17T04:01:34Z. Supports: licenses.data.

   Content fingerprint

   a748fc7dbb53d5d751c5ee109e437c377e214b1d837762f8d09995349d86cec9
5. huggingface repository identity

   Retrieved 2026-10-17T19:15:09Z. Supports: aliases.

   Content fingerprint

   66006a586e03be3eb1dfc29dc9c951241fd7e4204430e7db258da1037e17ac6e
6. huggingface repository identity

   Retrieved 2026-10-17T19:15:10Z. Supports: aliases.

   Content fingerprint

   66006a586e03be3eb1dfc29dc9c951241fd7e4204430e7db258da1037e17ac6e

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