> ## Documentation Index > Fetch the complete documentation index at: https://docs.promptlayer.com/llms.txt > Use this file to discover all available pages before exploring further. # Overview > Use Datasets as the versioned system of record for evaluation inputs, backtests, and batch workflows. Datasets are PromptLayer's versioned system of record for evaluation inputs and historical examples. Use them when you want a reusable set of test cases for evaluations, backtests, regression checks, or batch workflows. A **Dataset Group** is the container for one dataset over time. Inside that group, you edit a **draft** dataset, save numbered versions, and reuse those versions across evaluations. You can create data by uploading a CSV or JSON file, building from request history, or turning evaluation outputs back into a dataset for the next iteration. ## What you can do * Create datasets from files, request history, or evaluation results. * Edit draft datasets before publishing a version, including adding rows, renaming or deleting columns, updating values, and converting columns to JSON. * Organize dataset groups with folders, tags, changelog history, and archive controls. * Reuse a specific dataset version in an evaluation blueprint, or update a blueprint to a different dataset later. * Export datasets to CSV and use report outputs to seed the next round of testing. ## How it fits together 1. Create a dataset group and populate a draft. 2. Edit the draft and save a version. 3. Attach that version to an evaluation blueprint. 4. Run full batches, review results and history, and feed outputs into the next dataset iteration. ## Next steps Learn how datasets power evaluation blueprints, scoring, and batch runs. Build datasets and evaluations from code or CI workflows. Upload a CSV or JSON file to create a new dataset version. Build a dataset version from filtered request history.