{
"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": "0288e375-a0cb-4fec-e17a-156bf31c93cb"
},
"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[31m6.4 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",
"Requirement already satisfied: pyarrow-hotfix in /usr/local/lib/python3.10/dist-packages (from datasets) (0.6)\n",
"Collecting dill<0.3.9,>=0.3.0 (from datasets)\n",
" Downloading dill-0.3.8-py3-none-any.whl (116 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m7.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from datasets) (2.0.3)\n",
"Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (2.31.0)\n",
"Requirement already satisfied: tqdm>=4.62.1 in /usr/local/lib/python3.10/dist-packages (from datasets) (4.66.2)\n",
"Collecting xxhash (from datasets)\n",
" Downloading xxhash-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m194.1/194.1 kB\u001b[0m \u001b[31m5.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting multiprocess (from datasets)\n",
" Downloading multiprocess-0.70.16-py310-none-any.whl (134 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m6.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: fsspec[http]<=2024.2.0,>=2023.1.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (2023.6.0)\n",
"Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets) (3.9.3)\n",
"Requirement already satisfied: huggingface-hub>=0.19.4 in /usr/local/lib/python3.10/dist-packages (from datasets) (0.20.3)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from datasets) (24.0)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from datasets) (6.0.1)\n",
"Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.3.1)\n",
"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (23.2.0)\n",
"Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.4.1)\n",
"Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (6.0.5)\n",
"Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (1.9.4)\n",
"Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->datasets) (4.0.3)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.4->datasets) (4.10.0)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /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": 10,
"metadata": {
"id": "hlQscfNrf-KA"
},
"outputs": [],
"source": [
"import pandas as pd\n",
"from datasets import load_dataset, DatasetDict\n",
"from huggingface_hub import notebook_login\n",
"from sklearn.model_selection import train_test_split"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "30SGKgXKZ15V"
},
"source": [
"## Preprocess data"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "0tyVQSMTGNy4",
"outputId": "b4f194bd-6306-4ec6-e863-985b424dcc8e"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" text label\n",
"0 If you decide to eat here, just be aware it is... Neutral\n",
"1 I am a long term frequent customer of this est... Negative\n",
"2 Loved this tour! I grabbed a groupon and the p... Positive\n",
"3 Love going here for happy hour or dinner! Gre... Positive\n",
"4 Great staff always helps and always nice. Alwa... Positive"
],
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"type": "dataframe",
"variable_name": "df"
}
},
"metadata": {},
"execution_count": 30
}
],
"source": [
"df = pd.read_csv(\"cleaned_data.csv\", usecols=[\"text\", \"sentiment\"])\n",
"df.rename(columns={\"sentiment\": \"label\"}, inplace=True)\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "jwVLtiqP3vrS",
"outputId": "506f5844-7097-4087-8209-0cf3ab593b90"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"label\n",
"Positive 101121\n",
"Negative 36346\n",
"Neutral 16846\n",
"Name: count, dtype: int64"
]
},
"metadata": {},
"execution_count": 31
}
],
"source": [
"df[\"label\"].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"id": "Lhdmy3BO3vrS"
},
"outputs": [],
"source": [
"def sentiment_to_int(sentiment: str) -> int:\n",
" if sentiment.lower() == \"negative\":\n",
" return 0\n",
" if sentiment.lower() == \"neutral\":\n",
" return 1\n",
" if sentiment.lower() == \"positive\":\n",
" return 2\n",
" raise Exception(f\"{sentiment} is not a valid value\")"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 206
},
"id": "BTY1KtYl3vrS",
"outputId": "5cf0e602-4588-4544-8c7e-d77f934fa97e"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" text label\n",
"0 If you decide to eat here, just be aware it is... 1\n",
"1 I am a long term frequent customer of this est... 0\n",
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"type": "dataframe",
"variable_name": "df"
}
},
"metadata": {},
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],
"source": [
"df[\"label\"] = df[\"label\"].apply(sentiment_to_int)\n",
"df.head()"
]
},
{
"cell_type": "code",
"source": [
"df = df.sample(frac=1).reset_index(drop=True)"
],
"metadata": {
"id": "udk_Y9gvqmNn"
},
"execution_count": 34,
"outputs": []
},
{
"cell_type": "code",
"source": [
"train_df, test_eval_df = train_test_split(df, test_size=0.5)\n",
"test_df, eval_df = train_test_split(test_eval_df, test_size=0.5)"
],
"metadata": {
"id": "RYM-JUI8qRRO"
},
"execution_count": 35,
"outputs": []
},
{
"cell_type": "code",
"source": [
"train_df.shape, test_df.shape, eval_df.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "8l5nbLmHqa1O",
"outputId": "d3c3c790-185f-44ba-e33d-30cea8959bc8"
},
"execution_count": 36,
"outputs": [
{
"output_type": "execute_result",
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"text/plain": [
"((77156, 2), (38578, 2), (38579, 2))"
]
},
"metadata": {},
"execution_count": 36
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{
"cell_type": "code",
"source": [
"train_df[\"label\"].value_counts(), test_df[\"label\"].value_counts(), eval_df[\n",
" \"label\"\n",
"].value_counts()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ohOigPvgqyXN",
"outputId": "7dc4ac20-5769-4207-d2c8-20c66f728774"
},
"execution_count": 37,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(label\n",
" 2 50426\n",
" 0 18120\n",
" 1 8610\n",
" Name: count, dtype: int64,\n",
" label\n",
" 2 25388\n",
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},
"metadata": {},
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]
},
{
"cell_type": "markdown",
"metadata": {
"id": "sl_JJkJfmPVL"
},
"source": [
"## Save the data"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"id": "gUknwI7-gPoQ"
},
"outputs": [],
"source": [
"train_df.to_csv(\"train.csv\", index=False)\n",
"test_df.to_csv(\"test.csv\", index=False)\n",
"eval_df.to_csv(\"eval.csv\", index=False)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "gCBX4XPSGct2"
},
"source": [
"## Uploading to Hub"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 145,
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},
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],
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]
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"outputId": "9e861bba-f9e9-4917-a9ed-03cf48569ff6"
},
"outputs": [
{
"output_type": "execute_result",
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