UI-Genie reward data

Mobile GUI reward annotations released for training UI-Genie’s trajectory-assessment model.

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, reward-models

Record publication date

Not recorded

Evidence retrieved

2026-10-17T04:01:34Z

Resource ID

url:84e5aeeffaf561baa966

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

trajectory rewards

Modalities

text

Formats

JSONL

Splits

Not recorded

Scale and counting units

The public manifest contains reward_data.jsonl but no separately packaged image archive. The card declares MIT. The 517k identifier is not converted into a verified sample count, and complete image packaging is not inferred from the JSONL filename.

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Recorded specifications

disabled

false

download url

https://huggingface.co/datasets/HanXiao1999/UI-Genie-RM-517k/tree/main

gated

false

hub id

HanXiao1999/UI-Genie-RM-517k

Explore related topics

Scope and limitations

The public manifest contains reward_data.jsonl but no separately packaged image archive. The card declares MIT. The 517k identifier is not converted into a verified sample count, and complete image packaging is not inferred from the JSONL filename.

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

   dddb70b2b6986525f3980cbe50c3241d17f840a81fda9715b01ac3b25dd35d63
2. editorial primary review

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

   Content fingerprint

   ab4bf30b6188959f825f2747ca711b0f190dddfe1658319c881ca9c73be9ecc9
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

   dddb70b2b6986525f3980cbe50c3241d17f840a81fda9715b01ac3b25dd35d63

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