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Merged
mikeknep merged 2 commits into from
Jan 8, 2026
Merged

refactor: Overhaul to seed datasets #167

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1d20321
Refactor seed datasets
mikeknep Dec 12, 2025
0ff21e7
Drop temp notes
mikeknep Jan 8, 2026
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2 changes: 1 addition & 1 deletion Makefile
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Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,7 @@ convert-execute-notebooks:

generate-colab-notebooks:
@echo "📓 Generating Colab-compatible notebooks..."
uv run --group notebooks python docs/scripts/generate_colab_notebooks.py
uv run --group docs python docs/scripts/generate_colab_notebooks.py
@echo "✅ Colab notebooks created in docs/colab_notebooks/"

serve-docs-locally:
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64 changes: 32 additions & 32 deletions docs/colab_notebooks/1-the-basics.ipynb
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Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "markdown",
"id": "2e6331ad",
"id": "32827bda",
"metadata": {},
"source": [
"# 🎨 Data Designer Tutorial: The Basics\n",
Expand All @@ -14,7 +14,7 @@
},
{
"cell_type": "markdown",
"id": "af3aad47",
"id": "cbe6b81e",
"metadata": {},
"source": [
"### ⚡ Colab Setup\n",
Expand All @@ -25,7 +25,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "4c39e2a5",
"id": "5b007eed",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -36,7 +36,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "d8652e5e",
"id": "58dfdb07",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -53,7 +53,7 @@
},
{
"cell_type": "markdown",
"id": "c51e6323",
"id": "03d07dff",
"metadata": {},
"source": [
"### 📦 Import the essentials\n",
Expand All @@ -64,7 +64,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "2de6b279",
"id": "749a1536",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -85,7 +85,7 @@
},
{
"cell_type": "markdown",
"id": "6a484a8d",
"id": "5c31d723",
"metadata": {},
"source": [
"### ⚙️ Initialize the Data Designer interface\n",
Expand All @@ -98,7 +98,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "7554bd1a",
"id": "826f2421",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -107,7 +107,7 @@
},
{
"cell_type": "markdown",
"id": "dc1d9f84",
"id": "b6bfc01a",
"metadata": {},
"source": [
"### 🎛️ Define model configurations\n",
Expand All @@ -124,7 +124,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "76d22674",
"id": "11aa0146",
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -154,7 +154,7 @@
},
{
"cell_type": "markdown",
"id": "187da050",
"id": "c10b93a6",
"metadata": {},
"source": [
"### 🏗️ Initialize the Data Designer Config Builder\n",
Expand All @@ -169,7 +169,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "977497d1",
"id": "02ae97ca",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -178,7 +178,7 @@
},
{
"cell_type": "markdown",
"id": "92c51ea0",
"id": "c4c780c8",
"metadata": {},
"source": [
"## 🎲 Getting started with sampler columns\n",
Expand All @@ -195,7 +195,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "68d7a4e6",
"id": "685417ab",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -204,7 +204,7 @@
},
{
"cell_type": "markdown",
"id": "314c4719",
"id": "6bae388c",
"metadata": {},
"source": [
"Let's start designing our product review dataset by adding product category and subcategory columns.\n"
Expand All @@ -213,7 +213,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "1bcad060",
"id": "6122711b",
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -289,12 +289,12 @@
")\n",
"\n",
"# Optionally validate that the columns are configured correctly.\n",
"config_builder.validate()"
"data_designer.validate(config_builder)"
]
},
{
"cell_type": "markdown",
"id": "aab7414d",
"id": "12d8c063",
"metadata": {},
"source": [
"Next, let's add samplers to generate data related to the customer and their review.\n"
Expand All @@ -303,7 +303,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "f191f5bf",
"id": "c4c21fa0",
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -340,7 +340,7 @@
},
{
"cell_type": "markdown",
"id": "5d893b3d",
"id": "be6bd3c8",
"metadata": {},
"source": [
"## 🦜 LLM-generated columns\n",
Expand All @@ -355,7 +355,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "2abadac9",
"id": "99e953d8",
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -391,7 +391,7 @@
},
{
"cell_type": "markdown",
"id": "2c9cb423",
"id": "ec30007b",
"metadata": {},
"source": [
"### 🔁 Iteration is key – preview the dataset!\n",
Expand All @@ -408,7 +408,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "71e3a022",
"id": "7ac1f25b",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -418,7 +418,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "28f7913d",
"id": "67d8dff4",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -429,7 +429,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "6621c80f",
"id": "f78e4d9f",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -439,7 +439,7 @@
},
{
"cell_type": "markdown",
"id": "2b451ded",
"id": "ee838ed6",
"metadata": {},
"source": [
"### 📊 Analyze the generated data\n",
Expand All @@ -452,7 +452,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "0f7cb6cc",
"id": "4bea0fca",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -462,7 +462,7 @@
},
{
"cell_type": "markdown",
"id": "721b3c7d",
"id": "da9875d4",
"metadata": {},
"source": [
"### 🆙 Scale up!\n",
Expand All @@ -475,7 +475,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "1ad777d1",
"id": "8c7f20b4",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -485,7 +485,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "df089509",
"id": "2f5fdaa8",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -498,7 +498,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "e37fa65b",
"id": "5c2d935f",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -510,7 +510,7 @@
},
{
"cell_type": "markdown",
"id": "84d1802b",
"id": "a80515b7",
"metadata": {},
"source": [
"## ⏭️ Next Steps\n",
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