> ## 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.

# Run Batch Jobs

> Use evaluations as spreadsheet-style batch runs for labeling, research, generation, and enrichment.

<Warning>
  Legacy Evaluations, Reports, and Datasets are deprecated for new workflows. Use [Tables](/features/tables/overview) for new evaluation, dataset, report, backtesting, and batch workflows. See [Migrate from Evaluations and Datasets](/features/tables/migrate-from-evaluations-and-datasets).
</Warning>

Evaluations are not only for testing prompts. You can also use them as batch jobs where each row is an input and each column is an AI-powered computation.

## Common use cases

* **Data labeling**: Run a prompt over production examples to create labeled datasets
* **Research**: Process a list of companies, people, or documents
* **Content generation**: Generate summaries, replies, emails, or descriptions in bulk
* **Data enrichment**: Add company, location, category, or other attributes to a list

## Create the dataset

Upload a CSV, create rows manually, or build a dataset from request history. Each row should contain the fields your prompt needs as input variables.

Learn more in [Datasets](/features/evaluations/datasets-overview).

## Add prompt columns

Create an evaluation and add one or more **Prompt Template** columns. Map dataset columns to the prompt input variables.

You can chain columns together when later prompts depend on earlier outputs.

## Run and export

Run the full batch, review the results, and export the completed dataset when you are done.

You do not need permanent evaluation infrastructure for this workflow. Create a dataset, add prompt columns, run the batch, export the results, and move on.

## Next steps

* [Evaluation pipelines](/features/evaluations/building-pipelines)
* [Dataset from CSV](/features/evaluations/datasets-create-from-file)
* [Dataset from request history](/features/evaluations/datasets-create-from-history)