The Dataset Viewer has been disabled on this dataset.

MobileForge Generated Tasks

Anonymous project: https://mobileforge-anonymous.github.io/
Anonymous code: https://github.com/mobileforge-anonymous/MobileForge

This dataset contains the consolidated task pool generated by MobileGym-Curriculum from target-app exploration trajectories. These tasks are used by MobileForge for rollout collection and annotation-free adaptation.

Release inventory payloads: files=1; bytes=2028399; sha256=66d0c571583fad088279323c7332ef99ad1d21a3df76f0d969ce698c62f4ebfb

Dataset summary

File Rows Apps Size Description
generated_tasks_26020301-all.csv 3,249 20 1.93 MB Consolidated AndroidWorld-side MobileForge task pool.

The task pool is generated from real target-app exploration traces. Each row describes an executable mobile GUI task candidate together with its source app, source trajectory id, task-generation metadata, and coarse feasibility signals from the task-generation stage.

Load with datasets

from datasets import load_dataset

ds = load_dataset("mobileforge-anonymous/mobileforge-generated-tasks", split="train")
print(ds[0])

Load with pandas:

import pandas as pd

df = pd.read_csv("generated_tasks_26020301-all.csv")
print(df[["app_name", "task_description"]].head())

Columns

Column Description
task_identifier Public task id formed from the source trajectory id and task index.
task_description Natural-language mobile GUI task.
golden_steps Estimated number of reference steps from task generation.
app_package Android package name.
app_name Human-readable app name.
trajectory_id Source exploration trajectory id.
original_goal Exploration goal that grounded the generated task.
task_reasonable Whether the task was judged reasonable by the generation pipeline.
task_completed Whether the source trajectory completed the grounding goal.
task_id Per-trajectory task index.
difficulty_level Optional difficulty annotation; empty in this release.
core_functionality Generated functionality label.
variation_type Type of task variation, such as scenario application or step progression.
prerequisites Preconditions assumed by the generated task.

App distribution

App Tasks
Files 258
Pro Expense 247
Broccoli Recipe 241
Simple SMS Messenger 240
Markor 233
Clock 215
Retro Music 189
Contacts 166
VLC 161
Chrome 157
Tasks 150
Simple Draw Pro 145
OsmAnd 136
Joplin 130
Simple Calendar Pro 107
OpenTracks 104
Settings 102
Camera 94
Audio Recorder 91
Simple Gallery Pro 83

Generation metadata

  • Reasonable tasks: 3,213 / 3,249.
  • Tasks grounded in completed source trajectories: 1,691 / 3,249.
  • Common variation types include scenario_application, step_progression, multi-step_workflow, and parameter_change.

The file manifest.json provides machine-readable file metadata, including the row count and column list.

Relationship to other MobileForge artifacts

This dataset is the bridge between:

  1. mobileforge-anonymous/mobileforge-exploration-trajectories: target-app exploration traces.
  2. mobileforge-anonymous/mobileforge-training-data: hint-contextualized step-level GRPO samples produced after rollout and hierarchical evaluation.
  3. mobileforge-anonymous/mobileforge-benchmark-results: AndroidWorld and MobileWorld evaluation artifacts.

Limitations

The tasks are automatically generated from exploration trajectories and may include infeasible or environment-state-dependent assumptions. MobileForge handles this downstream through rollout feedback, task filtering, and step-level policy optimization.

Citation

Citation information is withheld during double-blind review.

Downloads last month
19