---
title: "Car service workshop video dataset | Wake"
description: "Explore workshop activity across preparation, service actions and checks. Use the collection viewer to assess continuity and choose task boundaries."
url: https://wake.inc/datasets/car-service/
---

[Home](https://wake.inc/) [Datasets](https://wake.inc/datasets/) Car service

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# Car service workshop video dataset.

Explore workshop activity across preparation, service actions and checks. Use the collection viewer to assess continuity and choose task boundaries.

Workshop workflow and session continuity

[Open the car service workshop video dataset. collection](https://console.wake.inc/shared/vqn8wNhpdLJPqfzgBXPwjw)

On this page

- [A session can contain several tasks.](https://wake.inc/datasets/car-service/#a-session-can-contain-several-tasks)
- [Preserve the return to work.](https://wake.inc/datasets/car-service/#preserve-the-return-to-work)
- [Plan evaluation by source session.](https://wake.inc/datasets/car-service/#plan-evaluation-by-source-session)
- [Questions, answered](https://wake.inc/datasets/car-service/#faq-title)

## A session can contain several tasks.

Preparation, tool retrieval, work and verification may belong to one service visit but different training episodes. Choose boundaries around the learning objective.

## Preserve the return to work.

Watch how a worker resumes after a tool change or interruption. The relationship between an earlier action and a later check may matter more than a fixed clip length.

## Plan evaluation by source session.

Retain the source-session reference when splitting clips. Keeping related clips together reduces overlap between training and evaluation sets.

## Questions, answered.

How is a session different from an episode?

A session is a continuous recording period. An episode is a task-defined segment with a start, an action and an observable outcome.

What should a workshop collection brief specify?

Define the workflow, required views, episode boundaries and outcome checks. Confirm coverage and annotation needs with Wake.

## Keep exploring.

[Robot training data grounded in real work.](https://wake.inc/robot-training-data/) [What is egocentric data for robot learning?](https://wake.inc/blog/what-is-egocentric-data/) [LeRobot dataset format: what buyers should check.](https://wake.inc/blog/lerobot-dataset-format/)

## What should your robot learn next?

Bring the task, setting and signals you need. We’ll work through the collection and annotation requirements with you.

[Build with Wake](https://wake.inc/contact/)