# 2. Data Import

After the [Job details](/project-setup/build-jobs/1.-job-details.md) are saved in [Job Details](/project-setup/build-jobs/1.-job-details.md) step, the user can proceed to the *New Import* tab on the left navigation to start importing data.

<figure><img src="/files/AqTaFJOSdrbIo2WL2uT3" alt=""><figcaption></figcaption></figure>

## Data Upload

It is necessary to arrange the data in the tool ingestible format. View [how to pre-process data](/project-setup/pre-process-data.md) before you upload the data using the [S3 Bucket](https://docs.imerit-prod.io/project-setup/build-jobs/pages/egv6MSBkKqcIBNPxkVlW#id-3.-data-storage).

<figure><img src="/files/8geglSFJCxpSd40YTFHy" alt=""><figcaption></figcaption></figure>

## Data Grouping

Define the limit of [frames](/project-setup/pre-process-data.md#frame) that will get loaded in the form of [batches](/project-setup/pre-process-data.md#batch) for the SME (subject matter expert) using the *annotation tool*. This can be done by selecting one of the two options:

### A. Group by Folder &#x20;

The [frames](/project-setup/pre-process-data.md#frame) will load as a single [batch](/project-setup/pre-process-data.md#batch) based on the data folders created during [data segregation](https://docs.imerit-prod.io/project-setup/build-jobs/pages/egv6MSBkKqcIBNPxkVlW#id-2.-segregate-data-in-folder-s).  For example, if the *data folder* uploaded has 1 folder with 100 frames data, 1 batch is created with 100 frames.

### B. Group with Limit

The number of [frames](/project-setup/pre-process-data.md#frame) that will load within a [batch](/project-setup/pre-process-data.md#batch) is based on the desired limit set. For example, if the *data folder* uploaded has 1 folder with 100 frames data, and the batch limit is set to 30, the task delegation platform will create 3 batches of 30 frames each and 1 batch of 10 frames.

<div align="center"><figure><img src="https://lh7-us.googleusercontent.com/docsz/AD_4nXe2bMxrdyTQEWgm5O2Aw49fVGjcOAnU4QNlSMhm7L2wV7afwzl5uhpQrw5va-xoZqhiJ8wggRIIBrxFvDTkDSYc3tyUyLIH0Bmv8PVTz_lPHltNDNs3l55R4ToXksQhZT0ueNnvJ0qzDZbYSD7lYId5x-Q?key=lGhAQLv5xC3Ciuwf6zBTGQ" alt="" width="375"><figcaption></figcaption></figure></div>


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