WinterSchool
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README.md
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- name: train
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num_bytes: 59333908
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num_examples: 700
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download_size: 59207371
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dataset_size: 59333908
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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dtype: string
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splits:
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- name: train
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num_bytes: 59333908
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num_examples: 700
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download_size: 59207371
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dataset_size: 59333908
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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task_categories:
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- question-answering
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language:
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- en
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tags:
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- medical
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size_categories:
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- n<1K
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---
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This dataset is made using raw data from [MURA (musculoskeletal radiographs)](https://stanfordmlgroup.github.io/competitions/mura/), a large dataset of bone X-rays.
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For each image in the original raw dataset we used the associated metadata to generate a simulated conversation about the image between a user and a chatbot.
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