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<h3 align="center">Avoid the hype, check the vibe!</h2>
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I've cooked up Dataset Viber, a cool set of tools to make your life easier when dealing with data for AI models. Dataset Viber is all about making your data prep journey smooth and fun. It's **not for team collaboration or production**, nor trying to be all fancy and formal - just a bunch of **cool tools to help you collect feedback and do vibe-checks** as an AI engineer or lover. Want to see it in action? Just plug it in and start vibing with your data. It's that easy!
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- **CollectorInterface**: Lazily collect data of model interactions without human annotation.
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- **AnnotatorInterface**: Walk through your data and annotate it with models in the loop.
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- **BulkInterface**: Explore your data distribution and annotate in bulk.
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- **Embdedder**: Efficiently embed data with ONNX-optimized speeds.
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Need any tweaks or want to hear more about a specific tool? Just [open an issue](https://github.com/davidberenstein1957/dataset-viber/issues/new) or give me a shout!
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> [!NOTE]
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>
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> - Data is logged to a local CSV or directly to the Hugging Face Hub.
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> - All tools also run in `.ipynb` notebooks.
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> - Models in the loop through `fn_model`.
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> - Input data streamers through `fn_next_input`.
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> - It supports various tasks for `text`, `chat` and `image` modalities.
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> - Import and export from the Hugging Face Hub or CSV files.
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> [!TIP]
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> Examples can be found in [src/dataset_viber/examples](https://github.com/davidberenstein1957/dataset-viber/tree/main/src/dataset_viber/examples).
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