| # appgen-sft-data — SFT datasets for mobile-GUI agents |
|
|
| Step-level SFT samples harvested from the GRPO simulator environments |
| (`appgen-training-data`). One sample = one action step: |
|
|
| ```json |
| { |
| "messages": [ |
| {"role": "user", "content": "<image> Goal: <task with app name> History: step1: ...; step2: ..."}, |
| {"role": "assistant", "content": "<think>one-sentence reasoning</think>\n<tool_call>\n{\"name\": \"mobile_use\", \"arguments\": {...}}\n</tool_call>"} |
| ], |
| "images": ["<abs path to page screenshot>"], |
| "action_type": "TAP|SWIPE|open_app|TYPE|PRESS_ENTER|TASK_COMPLETE|...", |
| "env_dir": "...", "task_id": "...", "step": 0, "path_length": 7 |
| } |
| ``` |
|
|
| - qwen25 variants: **absolute** coordinates in the smart_resize'd image space |
| (`click [x,y]`); qwen3 variants: **0-1000 normalized**. |
| - Entry mix ≈ 54% `open_app` / 46% drawer-swipe across all versions. |
| - Every trajectory ends with `terminate(status="success")` at the target page. |
|
|
| ## Current (use these) |
|
|
| | file | model | trajectories | notes | |
| |---|---|---|---| |
| | `sft_qwen25_UNIFIED_V3.json` | Qwen2.5-VL (abs) | 554 traj / 6,853 samples / 100 envs | **length-uniform**: path 3–20 ≈30 each; thinks 100% | |
| | `sft_qwen3_UNIFIED_V3.json` | Qwen3-VL (norm) | same content, normalized coords | | |
|
|
| Images: extract `unified_sft_assets.tar.gz` (preload_v3 envs) and |
| `v4sel_sft_assets.tar.gz` (50 fresh-pool envs), then rewrite the two path |
| prefixes `/data/appgen/preload_v3` and `/data/appgen/training_env_pool_v4` |
| to your extraction root. System prompts: `unified_prompts.tar.gz`. |
|
|
| ## Older versions (provenance / ablations) |
| - `sft_qwen25_UNIFIED_V2.json` — UNIFIED + easy band only (length-skewed; superseded by V3) |
| - `sft_qwen25_UNIFIED.json`, `sft_qwen3_UNIFIED.json` — long-task-only originals |
| - `sft_data_mobile_*_ALIGNED.json` — earlier aligned variants |
|
|
