dataset card

README.md

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+# 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+- `sft_qwen25_UNIFIED_V2.json` — UNIFIED + easy band only (length-skewed; superseded by V3)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