---
license: apache-2.0
language:
- en
pretty_name: MobileForge Exploration Trajectories
tags:
- mobileforge
- mobile-gui-agent
- android
- gui-exploration
- mobilegym
- curriculum-generation
task_categories:
- reinforcement-learning
- text-generation
viewer: false
---

# MobileForge Exploration Trajectories

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

This dataset contains the target-app exploration trajectories used by MobileForge before MobileGym-Curriculum generates executable adaptation tasks.

<!-- mobileforge-release-inventory:start -->
Release inventory `raw`: files=539; bytes=3995527793; sha256=798b58729f5bfee7a0f929371500d3532f15343524a5e14bb14fc4132480d963
Release inventory `final`: files=6071; bytes=2474994885; sha256=3a336c6dc6724e2561d24165ba714eab3ea8f00e9ee10fc7037fce0eadf2e415
<!-- mobileforge-release-inventory:end -->

## Role in MobileForge

MobileForge starts from annotation-free target-app exploration. The exploration stage collects function-aware interaction trajectories from 20 Android apps. MobileGym-Curriculum then mines these traces into executable task candidates, which are later used for rollout, hierarchical evaluation, and HiFPO training.

The Hugging Face Dataset Viewer is disabled because the repository contains compressed trajectory objects and APK files. The lightweight JSON summaries in `final/` are the recommended entry point.

## Splits

| Split | Path | Apps | Files | Size | Description |
| --- | --- | ---: | ---: | ---: | --- |
| Sanitized exploration artifacts | `raw/` | 20 | 539 | 3.72 GB | Sanitized and deterministically rebuilt exploration artifacts, including compressed trajectory objects and app metadata. |
| Parsed summaries | `final/` | 20 | 6071 | 2.31 GB | Parsed/final exploration outputs used for curriculum generation. |

## High-level statistics

The parsed `final/` summaries contain 520 exploration trajectories over 20 apps, with 511 successful trajectories and 5,839 total interaction steps.

| App | Package | Trajectories | Successful | Steps |
| --- | --- | ---: | ---: | ---: |
| Retro Music | `code.name.monkey.retromusic` | 38 | 35 | 452 |
| Camera | `com.android.camera2` | 17 | 15 | 111 |
| Chrome | `com.android.chrome` | 26 | 26 | 359 |
| Settings | `com.android.settings` | 15 | 15 | 131 |
| Pro Expense | `com.arduia.expense` | 25 | 24 | 200 |
| Audio Recorder | `com.dimowner.audiorecorder` | 16 | 16 | 232 |
| Broccoli | `com.flauschcode.broccoli` | 63 | 63 | 594 |
| Contacts | `com.google.android.contacts` | 30 | 30 | 252 |
| Clock | `com.google.android.deskclock` | 33 | 33 | 308 |
| Files | `com.google.android.documentsui` | 41 | 41 | 446 |
| Calendar | `com.simplemobiletools.calendar.pro` | 15 | 15 | 212 |
| Draw | `com.simplemobiletools.draw.pro` | 27 | 25 | 242 |
| Gallery | `com.simplemobiletools.gallery.pro` | 14 | 13 | 196 |
| SMS Messenger | `com.simplemobiletools.smsmessenger` | 28 | 28 | 288 |
| OpenTracks | `de.dennisguse.opentracks` | 16 | 16 | 221 |
| Joplin | `net.cozic.joplin` | 20 | 20 | 172 |
| Markor | `net.gsantner.markor` | 35 | 35 | 594 |
| OsmAnd | `net.osmand` | 23 | 23 | 368 |
| Tasks | `org.tasks` | 21 | 21 | 303 |
| VLC | `org.videolan.vlc` | 17 | 17 | 158 |

## Directory layout

```text
exploration-trajectories/
  manifest.json
  raw/
    <app_package>/
      app_info.json
      <trajectory_id>.pkl.zst
      <app_package>.apk
  final/
    <app_package>/
      app_info.json
      statistics.json
      trajectories_summary.json
```

`app_info.json` records the app name, package, version, and main activity. `statistics.json` summarizes app-level trajectory counts and step counts. `trajectories_summary.json` contains one record per explored trajectory with the trajectory id, depth, exploration goal, step count, success flag, raw file path, and start time.

Example `trajectories_summary.json` record:

```json
{
  "trajectory_id": "260114181539.908106_D7E48636EB451E79",
  "depth": 1,
  "goal": "Allow the app to send notifications, then find and open the contact ...",
  "steps_count": 12,
  "success": true,
  "file_path": "exploration_output_parallel_26011201/com.google.android.contacts/260114181539.908106_D7E48636EB451E79.pkl.zst",
  "start_time": "2026-01-14T18:15:39"
}
```

## Download examples

Download only parsed summaries:

```python
from huggingface_hub import snapshot_download

local_dir = snapshot_download(
    repo_id="mobileforge-anonymous/mobileforge-exploration-trajectories",
    repo_type="dataset",
    allow_patterns=[
        "manifest.json",
        "final/*/app_info.json",
        "final/*/statistics.json",
        "final/*/trajectories_summary.json",
    ],
)
```

Load a summary file:

```python
import json
from pathlib import Path

summary_path = Path(local_dir) / "final/com.google.android.contacts/trajectories_summary.json"
records = json.loads(summary_path.read_text())
print(records[0])
```

## Notes

- The `raw/` split contains anonymized compressed exploration objects and the original third-party APKs for reproducibility.
- The `final/` split is usually sufficient for inspecting exploration coverage and reproducing MobileGym-Curriculum task mining.
- Compressed pickle objects should be treated as executable Python serialization. Load them only in a trusted research environment.
- APK redistribution may be subject to the upstream app licenses. Use this dataset for research and reproducibility.

## Citation

Citation information is withheld during double-blind review.