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{
"cells": [
{
"cell_type": "markdown",
"id": "ff6ef2b2",
"metadata": {},
"source": [
"# An AI Dataset Generator"
]
},
{
"cell_type": "markdown",
"id": "3ec63064",
"metadata": {},
"source": [
"#### Features:\n",
"- Generate any type of dataset, and download it in CSV format.\n",
"- Specify the number of rows to generate.\n",
"- Ability to select any provider and model of your choice. e.g HuggingFace, OpenRouter, OpenAI and Ollama, with any of their hosted models.\n",
"\n",
"##### Prompt example:\n",
"Generate a dataset for a fashion e-commerce brand. Columns: Customer_ID, Age (18–65), Gender, Annual_Spend, Last_Purchase_Date, and Churn_Status. Logic: Younger customers (18-30) should have 'Active' status but lower spend than older customers.\n",
"\n",
"Link to Google Colab:\n",
"https://colab.research.google.com/drive/1D_211PjLlfQViTzXKvE25R4gQiAZL1g9?usp=sharing"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 5
}