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--- |
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pretty_name: "MindsEye Android OS Data" |
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license: mit |
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language: |
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- en |
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task_categories: |
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- text-generation |
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- question-answering |
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- text-classification |
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tags: |
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- mindseye |
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- android |
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- portfolio |
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- educational |
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- google-ai-challenge |
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- ai-automation |
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size_categories: |
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- 1K<n<10K |
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--- |
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# MindsEye Android OS Dataset |
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This dataset powers the **MindsEye Android OS** Hugging Face Space: an educational Android-style UI that presents 35+ MindsEye repositories as interactive apps. |
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## Contents |
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- `apps/` — 35 app definitions organized by category |
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- `ai-control/` — controller schemas (system, navigation, recommendations) |
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- `settings/` — system + theme + permissions + AI behavior |
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- `functions/` — app launcher, notifications, sync, search index, analytics tracker |
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- `metadata/` — categories, tags, connections graph, version info |
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- `tutorials/` — 5 educational lessons |
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- `tools/` — build utilities |
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## App Categories |
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- Google Integration (6) |
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- Core System (7) |
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- Binary & Runtime (6) |
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- Protocol (7) |
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- MindScript (6) |
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- SQL & Cloud (3) |
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Total apps: **35** |
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## Expected App Schema (minimum) |
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Each app file contains: |
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- `id`, `name`, `category`, `version` |
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- `icon`, `color`, `github_repo` |
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- `description`, `features[]` |
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- `connections[]` |
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- `functions{}` |
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- `code_examples{}` |
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## How the Space Uses This Dataset |
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The Space loads JSON files directly from the dataset repository snapshot: |
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- enumerates category folders under `apps/` |
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- renders Android-style launcher sections |
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- opens app detail views with connections + code examples |
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## License |
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MIT License (see `LICENSE`). |
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## Author |
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Peace Thabiwa (@PeacebinfLow) |
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