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README.md

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+---
+language:
+- en
+license: apache-2.0
+task_categories:
+- image-to-text
+- visual-question-answering
+tags:
+- gui-grounding
+- computer-use
+- pixel-coordinates
+- browser-automation
+- commercial-use
+size_categories:
+- 10K<n<100K
+---
+
+# SeeClick Web Commercial Dataset (MLX-VLM Format)
+
+Commercial-use friendly GUI grounding dataset from SeeClick Web data.
+Apache 2.0 licensed - safe for commercial applications.
+
+## Dataset Description
+
+This dataset contains ~20k examples for training Vision-Language Models to predict 
+click coordinates given a screenshot and instruction. Derived from SeeClick Web
+crawled data (Apache 2.0).
+
+### Key Features
+
+- **License:** Apache 2.0 (commercial use allowed)
+- **Format:** MLX-VLM training format
+- **Examples:** 19,919 total (15,935 train, 1,991 val, 1,993 test)
+- **Platform:** Web screenshots
+- **Coordinate System:** Absolute pixels based on actual image dimensions
+- **Image Resolution:** Primarily 1920x1080 (coordinates scaled to actual image size)
+
+### Format
+
+Each example follows the MLX-VLM chat format:
+
+```json
+{
+  "messages": [
+    {
+      "role": "user",
+      "content": [
+        {"type": "image"},
+        {"type": "text", "text": "Click the Submit button"}
+      ]
+    },
+    {
+      "role": "assistant",
+      "content": [
+        {"type": "text", "text": "{\"action\": \"left_click\", \"coordinate\": [1332, 1035]}"}
+      ]
+    }
+  ],
+  "images": ["images/000123.png"],
+  "image_width": 1920,
+  "image_height": 1080
+}
+```
+
+### Coordinate System
+
+- **Format:** Absolute pixels [x, y]
+- **Origin:** Top-left corner [0, 0]
+- **Resolution:** Coordinates match actual image dimensions (stored in `image_width`, `image_height` fields)
+- **Action:** Claude Computer Use format
+
+**Important:** Coordinates are scaled to the actual screenshot dimensions. Most images are 1920x1080, so a coordinate like [1332, 1035] is in the bottom-right area of the screen. Each example includes `image_width` and `image_height` fields for reference.
+
+## Usage
+
+### With MLX-VLM
+
+```python
+# Train SmolVLM with LoRA
+python -m mlx_vlm.lora \
+    --model mlx-community/SmolVLM-256M-Instruct-bf16 \
+    --data data/gui-grounding/seeclick-web-commercial \
+    --train \
+    --batch-size 2 \
+    --iters 1000 \
+    --learning-rate 1e-4
+```
+
+### With Datasets Library
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("pierretokns/seeclick-web-commercial-mlx")
+
+for example in ds["train"]:
+    messages = example["messages"]
+    image_path = example["images"][0]
+```
+
+## Source Data
+
+This dataset is derived from SeeClick Web, which contains:
+- Screenshots crawled from public websites
+- Element annotations with bounding boxes
+- Apache 2.0 license (commercial use allowed)
+
+## License
+
+**Apache 2.0** - This dataset is safe for commercial use.
+
+The original SeeClick Web data was crawled from public websites and released
+under Apache 2.0. No research-only components are included.
+
+## Citation
+
+```bibtex
+@article{cheng2024seeclick,
+  title={SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents},
+  author={Cheng, Kanzhi and Sun, Qiushi and Chu, Youqi and others},
+  journal={arXiv preprint arXiv:2401.10935},
+  year={2024}
+}
+```