59 lines
1.4 KiB
Plaintext
Executable File
59 lines
1.4 KiB
Plaintext
Executable File
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"import dask.dataframe as dd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" image label\n",
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"0 {'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x... 0\n",
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"1 {'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x... 0\n",
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"2 {'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x... 0\n",
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"3 {'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x... 0\n",
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"4 {'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x... 0\n"
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]
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}
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],
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"source": [
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"df = dd.read_parquet(\"hf://datasets/edwinpalegre/trashnet_enhanced/data/train-*.parquet\")\n",
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"\n",
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"print(df.show())"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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