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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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- - dogs
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- - image
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- - cats
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- size_categories: 1M<n<10M
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  ---
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- # my-fancy-dataset
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- ---
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-
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- ## Description
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-
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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, as well as people we found on the street for human annotation.
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-
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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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- | Models | Claude Sonnet 3.5 |
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- | ML Model Generated | True |
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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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- ## Annotation Processes
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- Used Claude Sonnet 3.5 as LLM as a judge for annotation, as well as people we found on the street for human 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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- | 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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-
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- topics include cats and dogs
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- ## Size by Modality
 
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- ### Image
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- | Field | Value |
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- |---------------------|------------------------------|
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- | Number of Samples | 1000000 |
 
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+ license: unknown
 
 
 
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  language:
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+ - es
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+ size_categories: n<1K
 
 
 
 
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+ fuck this
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ data is image
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+ its abotu cats
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+ it is written in spanish