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--- |
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license: cc-by-4.0 |
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language: |
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- en |
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size_categories: |
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- 10K<n<100K |
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task_categories: |
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- image-text-to-text |
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tags: |
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- Tecky |
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- UI |
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- VLM |
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--- |
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# Tecky UI Automation Dataset |
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## 🧠 Tecky: Your True Virtual Employee |
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**Tecky** is an AI-powered virtual teammate that lives on your machine. It learns how you interact with apps and automates workflows across both public tools and internal software. |
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Tecky acts as a **context-aware agent**, observing how users complete digital tasks and suggesting or executing them through a human-like interface. |
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--- |
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## 📊 Dataset Overview |
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This dataset is the foundation for training **Vision-Language Models (VLMs)** to understand **graphical user interfaces (GUIs)** in desktop environments. It contains thousands of labeled UI elements from real-world app screenshots. |
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> This dataset is focused solely on **UI element detection and understanding**. |
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> Workflow modeling and full action-sequence understanding will be released in a future dataset. |
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With this data, models can: |
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- Parse GUI screenshots |
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- Identify actionable elements like buttons, inputs, sliders |
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- Predict appropriate click targets based on instructions |
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- Learn general UI semantics across diverse applications |
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--- |
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## 🎯 Goal |
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The main objective is to train VLMs that: |
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- Understand visual structure in desktop environments |
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- Predict user actions (like click targets) based on screenshots and instructions |
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- Learn generic UI semantics across apps and layouts |
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- Enable automation agents like Tecky to reason and act visually |
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The dataset is a unified and normalized collection from open sources, focused on real desktop UI. |
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--- |
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## 📁 Dataset Structure |
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Each entry in the JSONL files includes: |
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- `system` prompt (task context for Tecky) |
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- `user` message with: |
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- `image`: path to a screenshot |
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- `text`: instruction (e.g. “click the settings icon”) |
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- `assistant` response: |
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- JSON object with: |
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- `actions`: array of predicted clicks |
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- `status_update`: short explanation of the action |
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**Image paths** are relative to the repo and organized in folders like `images_split/00000-09999/`. |
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We provide: |
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- `train.jsonl`: main training set |
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- `valid.jsonl`: 5% validation sample from across all sources |
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--- |
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## ⚖️ Licenses & Attribution |
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This dataset merges multiple public sources. Each is preserved under its original license and properly credited. |
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| Dataset | License | Attribution | |
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|--------|---------|-------------| |
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| **UI element Detect Computer Vision Project** by Uled | CC BY 4.0 | `@misc{ ui-element-detect_dataset, title = { UI element Detect Dataset }, type = { Open Source Dataset }, author = { UIed }, howpublished = { \url{ https://universe.roboflow.com/uied/ui-element-detect } }, url = { https://universe.roboflow.com/uied/ui-element-detect }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2023 }, month = { oct }, note = { visited on 2025-07-11 }, } ` | |
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| **UI-Elements-Detection-Dataset** by YashJain | Apache 2.0 | [YashJain/UI-Elements-Detection-Dataset](https://huggingface.co/datasets/YashJain/UI-Elements-Detection-Dataset) | |
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| **ui_elemenz_dataset** by Maleke Chaker | MIT | [Original repo](https://www.kaggle.com/datasets/malekechaker/ui-elemenz-dataset) | |
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| **ScreenSpot** by RootsAutomation | Apache 2.0 | [rootsautomation/ScreenSpot](https://huggingface.co/datasets/rootsautomation/ScreenSpot) | |
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| **Annotated UI Element Dataset for Desktop Environments** | CC BY 4.0 | Martínez-Rojas, A., Rodríguez-Ruíz, A., González Enríquez, J., & Jiménez-Ramírez, A. (2024). Annotated UI Element Dataset for Desktop Environments [Data set]. Zenodo. [https://doi.org/10.5281/zenodo.10822752](https://doi.org/10.5281/zenodo.10822752) | |
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All usage of this dataset must respect these licenses. This release falls under **CC BY 4.0** to ensure attribution to all original sources. |
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--- |
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## 🧠 Intended Use |
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This dataset is intended for: |
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- Training VLMs and UI agents (like Tecky) |
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- Research on UI interaction understanding |
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- Fine-tuning language models to act visually |
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- Prototyping autonomous UX testing and interface parsing |
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Not intended for facial recognition, surveillance, or non-UI classification tasks. |
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--- |
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## 🙌 Contributing |
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Contributions welcome! |
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- Fork the dataset repo |
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- Add your JSONL/image data |
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- Submit a pull request |
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- Or open an issue with feedback or questions |
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--- |
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## 🧾 Citation |
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If you use this dataset, please cite the original sources listed above and acknowledge the **Tecky** Project. |
