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- license: unknown
 
 
 
 
 
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  tags:
 
 
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  - image
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- size_categories: n<1K
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  ---
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  # my-fancy-dataset
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  ## Description
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- idk man i give up, this is an image dataset that is all you need to know
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ license: mit
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+ task_categories:
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+ - table-question-answering
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+ - feature-extraction
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+ language:
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+ - en
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  tags:
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+ - biology
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+ - code
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  - image
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+ size_categories: 1M<n<10M
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  ---
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  # my-fancy-dataset
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  ## Description
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+ My Dataset consists of lots of fancy tokens scraped from the web, from pages like Wikipedia and more. This dataset was used to train OpenAI GPT-4. Used Claude Sonnet 3.5 as LLM as a judge for annotation.
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+ ## Provenance
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+
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+ | Field | Details |
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+ |---------------------|------------------------------|
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+ | Creators | yamamuchiiii |
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+ | Derived From | Web Scraping |
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+ | ML Model Generated | False |
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+
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+ ![Provenance Image](https://datacard-provenance-images.s3.eu-west-2.amazonaws.com/963Eum3g5gRI41gt1r5YL0saqyQ2/my-fancy-dataset/provenance-screenshot.png)
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+
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+ ## Licenses
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+ MIT License (OPEN)
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+
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+ ## Annotation Processes
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+ Used Claude Sonnet 3.5 as LLM as a judge for annotation.
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+
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+ ## Characteristics
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+
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+ | Field | Value |
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+ |-------|-------|
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+ | Topics | biology, code |
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+ | Languages | English |
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+ | Task Categories | table-question-answering, feature-extraction |
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+ | Modalities | image |
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+
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+ ## Size Metrics
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+
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+ ### Image
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+
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+ | Field | Value |
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+ |---------------------|------------------------------|
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+ | Number of Samples | 1000000 |