LRLearning RoadmapRead, build, evaluate
Data

Dataset Catalog

Dataset Catalog Use this catalog to choose practice data for each module and project. Rules Prefer small datasets first so experiments run quickly. Keep raw data separate from clea

datasets/README.md1 min read

Dataset Catalog

Use this catalog to choose practice data for each module and project.

Rules

  • Prefer small datasets first so experiments run quickly.
  • Keep raw data separate from cleaned data.
  • Document source, license, schema, and known quality issues.
  • Never use private or sensitive data for public examples.
  • Version datasets when evaluation results depend on them.

Local Sample Data

FileUse CaseRelated Project
sample-data/sales.csvRegression, forecasting, feature engineeringBusiness Sales Prediction
sample-data/products.csvProduct features and joinsBusiness Sales Prediction
sample-data/customers.csvCustomer segmentationBusiness Sales Prediction
sample-data/invoices.csvERP agent read/write toolsERP AI Agent
sample-data/inventory.csvInventory risk analysisERP AI Agent
sample-data/rag-documents.mdRAG ingestion and retrievalEnterprise RAG Platform
sample-data/evaluation-rag.csvRAG evaluationAI Evaluation Framework
sample-data/evaluation-agent.csvAgent evaluationAI Evaluation Framework

External Dataset Ideas

TopicDataset TypeSearch Terms
Sales predictionRetail transactionsretail sales forecasting dataset
ClassificationImages or texttext classification benchmark, image classification dataset
RAGPublic documentationopen documentation corpus, public PDFs
RecommendationsUser-item interactionsrecommendation dataset ratings
Fraud detectionTabular classificationfraud detection transactions dataset

Dataset Documentation Template

For every dataset, document:

  • Source:
  • License:
  • Rows:
  • Columns:
  • Target variable:
  • Known missing values:
  • Known bias or limitations:
  • Intended use:
  • Not intended use: