Datasets:
yamamuchiiii
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README.md
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license:
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tags:
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- image
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size_categories: n<
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# my-fancy-dataset
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## Description
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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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# 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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| 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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![Provenance Image](https://datacard-provenance-images.s3.eu-west-2.amazonaws.com/963Eum3g5gRI41gt1r5YL0saqyQ2/my-fancy-dataset/provenance-screenshot.png)
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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.
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## Characteristics
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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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## Size Metrics
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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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