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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Add Additional Datasets to The Model."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"from sklearn.model_selection import train_test_split\n",
"# from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
"import tensorflow as tf\n",
"import pickle"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>comment</th>\n",
" <th>toxic</th>\n",
" <th>severe_toxic</th>\n",
" <th>obscene threat</th>\n",
" <th>insult</th>\n",
" <th>identity_hate</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Huyu msee ni malaya</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Zakayo ni mbwa</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Chira ni shoga</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Akinirushia mamdomo mi ntamuua</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Haga sana</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Kuma ya mamako</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Wewe ni mjinga sana!</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Nataka nikuchape vibaya!</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Huo ni upuuzi mtupu!</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Wewe ni takataka!</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" comment toxic severe_toxic obscene threat \\\n",
"0 Huyu msee ni malaya 1 0 0 \n",
"1 Zakayo ni mbwa 0 0 0 \n",
"2 Chira ni shoga 1 1 0 \n",
"3 Akinirushia mamdomo mi ntamuua 1 1 1 \n",
"4 Haga sana 0 0 0 \n",
"5 Kuma ya mamako 1 1 0 \n",
"6 Wewe ni mjinga sana! 1 0 0 \n",
"7 Nataka nikuchape vibaya! 0 1 0 \n",
"8 Huo ni upuuzi mtupu! 1 0 0 \n",
"9 Wewe ni takataka! 0 0 0 \n",
"\n",
" insult identity_hate \n",
"0 1.0 0 \n",
"1 1.0 0 \n",
"2 1.0 0 \n",
"3 0.0 0 \n",
"4 1.0 0 \n",
"5 1.0 0 \n",
"6 1.0 0 \n",
"7 0.0 0 \n",
"8 0.0 0 \n",
"9 0.0 1 "
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataframe = pd.read_csv('swahili.csv')\n",
"\n",
"texts = dataframe['comment'].values\n",
"labels = dataframe[['toxic', 'severe_toxic', 'obscene threat', 'insult', 'identity_hate']].values\n",
"\n",
"dataframe.head(10)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#Preprocess and Prepare Data for Training:\n",
"max_len = 200\n",
"\n",
"# Load the tokenizer\n",
"with open('tokenizer.pickle', 'rb') as handle:\n",
" tokenizer = pickle.load(handle)\n",
"\n",
"# Pad & Tokenize Data\n",
"sequences = tokenizer.texts_to_sequences(texts)\n",
"padded_sequences = pad_sequences(sequences, maxlen=max_len)\n",
"\n",
"# Data spliting\n",
"X_train, X_val, y_train, y_val = train_test_split(padded_sequences, labels, test_size=0.2, random_state=42)\n",
"\n",
"# Create TensorFlow datasets\n",
"train_dataset = tf.data.Dataset.from_tensor_slices((X_train, y_train)).batch(32)\n",
"val_dataset = tf.data.Dataset.from_tensor_slices((X_val, y_val)).batch(32)\n"
]
}
],
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"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
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