> ## Documentation Index
> Fetch the complete documentation index at: https://docs.athina.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# From Logs

> You can import your inference logs to create a dataset in Athina.

There are a few ways to create a dataset from your inference logs:

1. [(Quick Start) Import a random sample of 50 recent logs](#quick-start-import-a-random-sample-of-50-recent-logs)
2. [Select and import from logs table](#select-and-import-from-logs-table)
3. [Import a filtered set of logs](#import-a-filtered-set-of-logs)

***

## Quick Start: Import a random sample of 50 recent logs

You can <strong>get started in 10 seconds</strong> by importing a random sample of 50 recent logs into a dataset.

<div style={{ position: "relative", paddingBottom: "56.25%", height: 0 }}>
  <iframe
    src="https://jumpshare.com/embed/vDLdnbLoSY8hvYxEDbr8"
    frameborder="0"
    webkitallowfullscreen
    mozallowfullscreen
    allowfullscreen
    style={{
  position: "absolute",
  top: 0,
  left: 0,
  width: "100%",
  height: "100%",
}}
  />
</div>

***

## Select and import from logs table

You can import rows into a dataset from the logs table.

<div style={{ position: "relative", paddingBottom: "56.25%", height: 0 }}>
  <iframe
    src="https://jumpshare.com/embed/PLB5ba0gEMdd20GmIkVu"
    frameborder="0"
    webkitallowfullscreen
    mozallowfullscreen
    allowfullscreen
    style={{
  position: "absolute",
  top: 0,
  left: 0,
  width: "100%",
  height: "100%",
}}
  />
</div>

***

## Import a filtered set of logs

1. Go to [https://app.athina.ai/develop](https://app.athina.ai/develop)

2. Select "Import from Logs"

3. Filter and select a sample size of logs and click Next

4. Enter a name and (optional) description for your dataset - Done!

<div style={{ position: "relative", paddingBottom: "56.25%", height: 0 }}>
  <iframe
    src="https://jumpshare.com/embed/23P5v199cQKHq5jOMtsD"
    frameborder="0"
    webkitallowfullscreen
    mozallowfullscreen
    allowfullscreen
    style={{
  position: "absolute",
  top: 0,
  left: 0,
  width: "100%",
  height: "100%",
}}
  />
</div>

***
