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installation formatting
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dataset_curation/Lab - Dataset Curation.ipynb

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"source": [
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"# Lab -- Dataset Curation with Multiple Annotators\n",
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"\n",
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"Intended to accompany the lecture on Dataset Creation and Curation, this notebook contains exercises to analyze an existing classification dataset labeled by multiple annotators (e.g. collected via crowdsourcing).\n",
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"Intended to accompany the lecture on Dataset Creation and Curation, this notebook contains exercises to analyze an existing classification dataset labeled by multiple annotators (e.g. collected via crowdsourcing).\n",
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"\n",
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"You may find it helpful to first install the following dependencies:"
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]
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],
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"source": [
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"!pip install cleanlab\n",
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"# we originally used the version: cleanlab==2.2.0"
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"# We originally used the version: cleanlab==2.2.0\n",
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"# This automatically installs other required packages like numpy, pandas, sklearn"
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]
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},
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{

dataset_curation/solutions/Solutions - Dataset Curation.ipynb

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"source": [
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"# Lab -- Dataset Curation with Multiple Annotators\n",
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"\n",
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"Intended to accompany the lecture on Dataset Creation and Curation, this notebook contains exercises to analyze an existing classification dataset labeled by multiple annotators (e.g. collected via crowdsourcing).\n",
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"Intended to accompany the lecture on Dataset Creation and Curation, this notebook contains exercises to analyze an existing classification dataset labeled by multiple annotators (e.g. collected via crowdsourcing).\n",
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"\n",
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"You may find it helpful to first install the following dependencies:"
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]
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],
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"source": [
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"!pip install cleanlab\n",
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"# we originally used the version: cleanlab==2.2.0"
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"# We originally used the version: cleanlab==2.2.0\n",
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"# This automatically installs other required packages like numpy, pandas, sklearn"
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]
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},
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{

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