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{
"cells": [
{
"cell_type": "markdown",
"id": "6fb06d81-1778-403c-b15b-d68200a5e6b5",
"metadata": {},
"source": [
"# Spark Example\n",
"\n",
"docs: [https://huggingface.co/docs/hub/datasets-spark](https://huggingface.co/docs/hub/datasets-spark)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7399a5ed-aea8-45cf-866f-2decd7097456",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from pyspark.sql import SparkSession\n",
"spark = SparkSession.builder.appName(\"demo\").getOrCreate()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6c0dfe01-9190-454c-9c52-216f74d339e1",
"metadata": {},
"outputs": [],
"source": [
"df = spark.read.format(\"huggingface\").load(\"fka/awesome-chatgpt-prompts\")\n",
"df.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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