Datasets:
|
Download README.md from mobileforge-anonymous/mobileforge-generated-tasks: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/datasets/mobileforge-anonymous/mobileforge-generated-tasks/resolve/main/README.md
- Command line
-
hf download hf://datasets/mobileforge-anonymous/mobileforge-generated-tasks/README.md
-
curl -L -o README.md https://huggingface.co/datasets/mobileforge-anonymous/mobileforge-generated-tasks/resolve/main/README.md
4.41 kB
| license: apache-2.0 | |
| language: | |
| - en | |
| pretty_name: MobileForge Generated Tasks | |
| tags: | |
| - mobileforge | |
| - mobile-gui-agent | |
| - android | |
| - task-generation | |
| - curriculum-learning | |
| - mobilegym | |
| task_categories: | |
| - text-generation | |
| size_categories: | |
| - 1K<n<10K | |
| viewer: false | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: generated_tasks_26020301-all.csv | |
| # 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. | |
| <!-- mobileforge-release-inventory:start --> | |
| Release inventory `payloads`: files=1; bytes=2028399; sha256=66d0c571583fad088279323c7332ef99ad1d21a3df76f0d969ce698c62f4ebfb | |
| <!-- mobileforge-release-inventory:end --> | |
| ## 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` | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("mobileforge-anonymous/mobileforge-generated-tasks", split="train") | |
| print(ds[0]) | |
| ``` | |
| Load with pandas: | |
| ```python | |
| 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. | |