{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "1CRSm4OHVCmY" }, "source": [ "## Install Dependencies" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "vf4NyoemGKCx", "outputId": "88226326-a112-4411-9611-d5a7ef956249" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Collecting datasets\n", " Downloading datasets-2.18.0-py3-none-any.whl (510 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m510.5/510.5 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets) (3.13.3)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from datasets) (1.25.2)\n", "Requirement already satisfied: pyarrow>=12.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (14.0.2)\n", 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/usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets) (3.3.2)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets) (3.6)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets) (2.0.7)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->datasets) (2024.2.2)\n", "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2.8.2)\n", "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2023.4)\n", "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2024.1)\n", "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.16.0)\n", "Installing collected packages: xxhash, dill, multiprocess, datasets\n", "Successfully installed datasets-2.18.0 dill-0.3.8 multiprocess-0.70.16 xxhash-3.4.1\n" ] } ], "source": [ "! pip install -U datasets" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "id": "hlQscfNrf-KA" }, "outputs": [], "source": [ "import pandas as pd\n", "from datasets import load_dataset, DatasetDict\n", "from huggingface_hub import notebook_login" ] }, { "cell_type": "markdown", "metadata": { "id": "30SGKgXKZ15V" }, "source": [ "## Preprocess data" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "0tyVQSMTGNy4", "outputId": "736ffd40-08a7-467e-d107-fc072841cc7a" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " text sentiment\n", "0 If you decide to eat here, just be aware it is... 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You all know that Big Larry has worked pit crew for the 500 for a lot of years. Big Larry knows that it is a lot different being on a pit crew than watching the event, but I gotta tell you, there is no other exciting venue in Motorsports than the 500. \\n\\nSo, there are ways to do it cheap and there are ways to do it expensive. Heck, race fans, if you have enough money, the police will stop traffic down the boulevard just to get you under the infield bridge. If you are going on the cheap, get a general admission ticket and party out. Here are a couple of tips: bring earplugs. Bring an umbrella. The weather here can change from hot to cold Ina second. Bring sunscreen. Get ready to wait in line. They have great food but please stay hydrated. It can get seriously hot here sometimes. If you get here early, check out the museum. It is amazing. \\n\\nThere is a secret back way into the venue. If you manage to track one of us down, ask us about it. It'll get you about 90 Pct into the track. 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