Update README.md

README.md

@@ -89,74 +89,3 @@ Tool-produced crops, masks, bounding-box visualizations, and HTML renderings
 are packaged alongside original inputs because they are observations in the
 training trajectories. These derivatives remain subject to any applicable
 terms of the original image corpus.
-
-# OpenVisTool-42K
-
-OpenVisTool-42K contains 42,048 outcome-valid, tool-use-gain-filtered visual
-tool-use trajectories across Chart, GUI Grounding, Table, Web-to-HTML, and
-Visual Search. Each example preserves the teacher's reasoning, function calls,
-tool observations, and final answer in the ms-swift agent format. All trajectories were synthesized using Qwen3.5-Plus
-as the teacher model. The teacher generated the reasoning traces, function
-calls, and final answers, while tool observations were obtained by executing
-the corresponding tools.
-
-## Record schema
-
-Every line is one JSON object:
-
-```json
-{
-  "id": "chart-00000000",
-  "domain": "Chart",
-  "tools": "[{\"type\":\"function\",...}]",
-  "messages": [
-    {"role": "system", "content": "..."},
-    {"role": "user", "content": "<image>\n..."},
-    {"role": "assistant", "content": "<think>...</think>"},
-    {"role": "tool_call", "content": "{\"name\":\"crop\",...}"},
-    {"role": "tool_response", "content": "<image>\n..."}
-  ],
-  "images": ["images/chart/ab/ab...ef.jpg"]
-}
-```
-
-- `id`: stable ID derived from the row index in the published domain shard.
-- `domain`: one of `Chart`, `GUI Grounding`, `Table`, `Web-to-HTML`, or
-  `Visual Search`.
-- `tools`: a JSON-encoded string containing the function schemas expected by
-  ms-swift. A decoded copy is available as `metadata/tools.json`.
-- `messages`: ordered agent messages. Roles are `system`, `user`, `assistant`,
-  `tool_call`, and `tool_response`.
-- `images`: paths relative to the snapshot root. Entries align, in order, with
-  every `<image>` token across `messages`. Duplicate entries are intentional
-  when the same image is viewed more than once.
-
-Paths such as `/mnt/data/example.png` inside messages are runtime paths in the
-agent's sandbox. They are not paths to the downloaded snapshot and should not
-be rewritten during training.
-
-## Source composition and provenance
-
-Only source images and queries were used as task input; pre-existing source
-reasoning traces were not used as supervision. The teacher-generated
-trajectories were selected by outcome validity and measured tool-use gain.
-
-| Domain | Source dataset | Records | License |
-|---|---|---:|---|
-| Chart | [ChartVerse-SFT-600K](https://huggingface.co/datasets/opendatalab/ChartVerse-SFT-600K) | 13,537 | Apache 2.0 |
-| GUI Grounding | [AgentNet](https://huggingface.co/datasets/xlangai/AgentNet) | 1,170 | MIT |
-| GUI Grounding | [OS-Atlas](https://huggingface.co/datasets/OS-Copilot/OS-Atlas-data) | 6,279 | Apache 2.0 |
-| GUI Grounding | [UGround](https://huggingface.co/datasets/osunlp/UGround-V1-Data) | 3,517 | CC BY-NC-SA 4.0 |
-| Table | [CoSyn-400K](https://huggingface.co/datasets/allenai/CoSyn-400K) | 4,645 | ODC-BY 1.0 |
-| Table | [TABLET-Small](https://huggingface.co/datasets/alonsoapp/TABLET-Small) | 285 | CC BY 4.0 |
-| Visual Search | [DeepEyesV2-RL](https://huggingface.co/datasets/honglyhly/DeepEyesV2_RL) | 738 | Not specified |
-| Visual Search | [Vero-600K](https://huggingface.co/datasets/zlab-princeton/Vero-600k) | 1,203 | Apache 2.0 |
-| Web-to-HTML | [VinciCoder-1.6M-SFT](https://huggingface.co/datasets/DocTron-Hub/VinciCoder-1.6M-SFT) | 10,674 | Not specified |
-
-Licenses are those declared by the upstream dataset cards. Source-specific
-terms continue to apply where an upstream dataset aggregates other datasets.
-
-Tool-produced crops, masks, bounding-box visualizations, and HTML renderings
-are packaged alongside original inputs because they are observations in the
-training trajectories. These derivatives remain subject to any applicable
-terms of the original image corpus.