oscar_it.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datasets import load_dataset"
   ]
  },
  {
   "source": [
    "Load the **Italian** part of the [**OSCAR**](https://huggingface.co/datasets/oscar) dataset. This is a *huge* dataset so download can take a long time:"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "Reusing dataset oscar (C:\\Users\\James\\.cache\\huggingface\\datasets\\oscar\\unshuffled_deduplicated_it\\1.0.0\\e4f06cecc7ae02f7adf85640b4019bf476d44453f251a1d84aebae28b0f8d51d)\n"
     ]
    }
   ],
   "source": [
    "dataset = load_dataset('oscar', 'unshuffled_deduplicated_it')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ML",
   "language": "python",
   "name": "ml"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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 "nbformat_minor": 4
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