Datasets

MONDAY annotations

Video-derived mobile navigation annotations that pair scene boundaries and screen or element boxes with action labels for training and evaluating GUI agents.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

Original source ↗Read as MarkdownRecord JSON

What is this resource?

Resource type
Datasets
Environment
android, ios
Topics
data-generation, mobile-navigation, video, imitation-learning
Record publication date
Not recorded
Evidence retrieved
2026-10-17T12:32:07Z
Resource ID
url:570654ff67ecefa2b955

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
Not recorded
Document
Not recorded
Weights
Not recorded

License review notes

Dataset profile

Supervision
video-derived scene and action annotations
Modalities
text, timestamps, bounding boxes, action labels
Formats
Parquet
Splits
train, validation, test, test_unseen_os

Scale and counting units

Split counts are video-annotation rows; scene and action totals are rounded publisher reports and are not added to row counts. Source videos/images are not included in the Hub files.

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Recorded specifications

availability
Ungated Parquet annotation files for train, validation, test and test_unseen_os; videos external.
release revision
d7bd929cf629bf0767f154cbdd984eea1eba01e9

Explore related topics

Data generationMobile navigationVideoImitation learning

Scope and limitations

The ungated Hub publishes four Parquet splits containing video identifiers and annotations. Original videos and extracted screenshots must be obtained separately; the code README explains that consumers download source videos from YouTube. A Windows Mobile unseen-OS test split is documented but is not labeled desktop Windows here. The companion code has an Apache-2.0 file, while the data card declares no data license and the repository defers third-party materials to original terms. Training scripts, pretrained checkpoints and the full generation pipeline remain planned updates.

Related resources

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 2026-10-17T12:32:07Z. Supports: name, kind, summary, environments, topics, scope, notes, relations, details.dataset_profile, licenses.data.

    Content fingerprint62a346fd0d328deb5b56a652c8581850b0c8120f5c77e53b33f24b9baf937adb
  2. editorial primary review

    Retrieved 2026-10-17T12:32:07Z. Supports: identity, release_status, details.release_revision.

    Content fingerprintf55c319a70c8ff988049363dc8fc266a9f1b1a09b8ac7096ee573f962e8f9492
  3. editorial primary review

    Retrieved 2026-10-17T12:30:53Z. Supports: notes, details.dataset_profile, licenses.data.

    Content fingerprintcb3d2329571a80b6edeab98c04f8b63c7f4e976929788d6a8283238b0b7fdadc
  4. editorial primary review

    Retrieved 2026-10-17T12:34:09Z. Supports: notes, licenses.data.

    Content fingerprintc71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4

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