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📣 Introducing Dataset Viber: your chill repo for data collection, annotation and vibe checks! 🎉
📣 Introducing Dataset Viber: your chill repo for data collection, annotation and vibe checks! 🎉
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I've cooked up Dataset Viber, a set of cool tools designed to make data preparation for AI models easier, more approachable and enjoyable for standalone AI engineers and enthusiasts.
I've cooked up Dataset Viber, a set of cool tools designed to make data preparation for AI models easier, more approachable and enjoyable for standalone AI engineers and enthusiasts.
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🔧 What Dataset Viber offers:
🔧 What Dataset Viber offers:
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- CollectorInterface: Lazily collect model interaction data without human annotation
- CollectorInterface: Lazily collect model interaction data without human annotation
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- AnnotatorInterface: Annotate your data with models in the loop
- AnnotatorInterface: Annotate your data with models in the loop
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- BulkInterface: Explore data distribution and annotate in bulk
- BulkInterface: Explore data distribution and annotate in bulk
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- Embedder: Efficiently embed data with ONNX-optimized speeds
- Embedder: Efficiently embed data with ONNX-optimized speeds
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🎯 Key features:
🎯 Key features:
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- Supports various tasks for text, chat, and image modalities
- Supports various tasks for text, chat, and image modalities
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- Runs in .ipynb notebooks
- Runs in .ipynb notebooks
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- Logs data to local CSV or directly to Hugging Face Hub
- Logs data to local CSV or directly to Hugging Face Hub
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- Easy to install via pip: 
- Easy to install via pip: 
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`pip install dataset-viber`
pip install dataset-viber
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It's not designed for team collaboration or production use, but rather as a fun and efficient toolkit for individual projects.
It's not designed for team collaboration or production use, but rather as a fun and efficient toolkit for individual projects.
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Want to give it a try? Check out the repository link 
Want to give it a try? Check out the repository link 
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https://github.com/davidberenstein1957/dataset-viber/
https://github.com/davidberenstein1957/dataset-viber/
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I'm excited to hear your feedback and learn how you vibe with your data. Feel free to open an issue or reach out if you have any questions or suggestions!
I'm excited to hear your feedback and learn how you vibe with your data. Feel free to open an issue or reach out if you have any questions or suggestions!
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Some shoutouts:
Some shoutouts:
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- Gradio for the amazing backbone
- Gradio for the amazing backbone
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- Daniel van Strien for some initial presentations I did on vibe checks
- Daniel van Strien for some initial presentations I did on vibe checks
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- Emily Omier for the workshop on structuring GitHub repo READMEs
- Emily Omier for the workshop on structuring GitHub repo READMEs
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- Hamel Husain for keeping mentioning that people should look at their data.
- Hamel Husain for keeping mentioning that people should look at their data.
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- Philipp Schmid for his code for ONNX feature-extractors
- Philipp Schmid for his code for ONNX feature-extractors
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- Ben Burtenshaw for the first PR
- Ben Burtenshaw for the first PR
📣 Introducing Dataset Viber: your chill repo for data collection, annotation and vibe checks! 🎉

I've cooked up Dataset Viber, a set of cool tools designed to make data preparation for AI models easier, more approachable and enjoyable for standalone AI engineers and enthusiasts.

🔧 What Dataset Viber offers:
- CollectorInterface: Lazily collect model interaction data without human annotation
- AnnotatorInterface: Annotate your data with models in the loop
- BulkInterface: Explore data distribution and annotate in bulk
- Embedder: Efficiently embed data with ONNX-optimized speeds

🎯 Key features:
- Supports various tasks for text, chat, and image modalities
- Runs in .ipynb notebooks
- Logs data to local CSV or directly to Hugging Face Hub
- Easy to install via pip: `pip install dataset-viber`

It's not designed for team collaboration or production use, but rather as a fun and efficient toolkit for individual projects.

Want to give it a try? Check out the repository link https://github.com/davidberenstein1957/dataset-viber/.

I'm excited to hear your feedback and learn how you vibe with your data. Feel free to open an issue or reach out if you have any questions or suggestions!

Some shoutouts:
- Gradio for the amazing backbone
- Daniel van Strien for some initial presentations I did on vibe checks
- Emily Omier for the workshop on structuring GitHub repo READMEs
- Hamel Husain for keeping mentioning that people should look at their data.
- Philipp Schmid for his code for ONNX feature-extractors
- Ben Burtenshaw for the first PR
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