# Ez Prep

{% code fullWidth="true" %}

```
NAME:
   singularity ez-prep - Prepare a dataset from a local path

USAGE:
   singularity ez-prep [command options] <path>

CATEGORY:
   Utility

DESCRIPTION:
   This commands can be used to prepare a dataset from a local path with minimum configurable parameters.
   For more advanced usage, please use the subcommands under `storage` and `data-prep`.
   You can also use this command for benchmarking with in-memory database and inline preparation, i.e.
     mkdir dataset
     truncate -s 1024G dataset/1T.bin
     singularity ez-prep --output-dir '' --database-file '' -j $(($(nproc) / 4 + 1)) ./dataset

OPTIONS:
   --max-size value, -M value       Maximum size of the CAR files to be created (default: "31.5GiB")
   --output-dir value, -o value     Output directory for CAR files. To use inline preparation, use an empty string (default: "./cars")
   --concurrency value, -j value    Concurrency for packing (default: 1)
   --database-file value, -f value  The database file to store the metadata. To use in memory database, use an empty string. (default: ./ezprep-<name>.db)
   --help, -h                       show help
```

{% endcode %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://data-programs.gitbook.io/singularity/cli-reference/ez-prep.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.