> ## Documentation Index > Fetch the complete documentation index at: https://docs.tokenfactory.nebius.com/llms.txt > Use this file to discover all available pages before exploring further. # Overview [**Data Lab**](https://tokenfactory.nebius.com/datalab) is the unified workspace inside Nebius Token Factory for working with inference logs (chat completions) and datasets. It centralizes everything related to **inference logs, dataset preparation, batch inference outputs and fine-tuning**, providing a consistent, clean, and reusable data layer for all model-development workflows. Data Lab reduces reliance on manual scripts and custom pipelines by bringing your data into a single, unified workflow: * A single place to **view, filter, and export inference logs (chat completions).** * A unified interface for **preparing datasets via SQL queries.** * Reusable datasets for **batch inference and fine-tuning.** ### What lives inside Data Lab Data Lab stores and manages several types of data: * **Inference Logs:** automatically collected chat completions generated via API or Playground (unless Zero Data Retention is enabled). * **Filtered Datasets:** datasets created from inference logs using sql queries. * **Uploaded Datasets:** user-provided datasets uploaded manually. * **Batch Inference Outputs:** results generated by batch inference jobs. * **Fine-tuning Outputs:** artifacts produced by fine-tuning jobs, including model checkpoints and the resulting fine-tuned model. Data Lab allows you to import historical chat completion logs into structured datasets for analysis and reuse Enables asynchronous processing of large datasets without requiring real-time responses Fine-tuning workflows support preparing, validating, and managing training datasets through Data Lab interface This section explains how your data is processed, where it is processed, and what level of control you have