---
title: "MLActivityClassifier.DataSource.directoryWithDataAndAnnotation(at:annotationFileName:timeStampColumn:labelStartTimeColumn:labelEndTimeColumn:)"
framework: Create ML
role: symbol
role_heading: Case
platforms: [macOS 10.15+]
path: "createml/mlactivityclassifier/datasource/directorywithdataandannotation(at:annotationfilename:timestampcolumn:labelstarttimecolumn:labelendtimecolumn:)"
---

# MLActivityClassifier.DataSource.directoryWithDataAndAnnotation(at:annotationFileName:timeStampColumn:labelStartTimeColumn:labelEndTimeColumn:)

An activity classifier data source that uses a directory that contains sensor data files and one annotation file.

## Declaration

```swift
case directoryWithDataAndAnnotation(at: URL, annotationFileName: String, timeStampColumn: String, labelStartTimeColumn: String, labelEndTimeColumn: String)
```

## Parameters

- `at`: The location URL of a directory in the file system that contains sensor data files and an activity annotation file.
- `annotationFileName`: The name of the activity annotation file.
- `timeStampColumn`: The name of the column that contains the timestamps for each sensor data sample.
- `labelStartTimeColumn`: The name of the column that contains the activity’s starting-time index in the data file.
- `labelEndTimeColumn`: The name of the column that contains the activity’s ending-time index in the data file.

## Discussion

Discussion Create a data source by gathering all activity data files, and one annotation file, into a directory. Pass that directory’s URL and the relevant column names of the annotation file to MLActivityClassifier.DataSource.directoryWithDataAndAnnotation(at:annotationFileName:timeStampColumn:labelStartTimeColumn:labelEndTimeColumn:).

## See Also

### Creating a data source

- [MLActivityClassifier.DataSource.labeledDirectories(at:)](createml/mlactivityclassifier/datasource/labeleddirectories(at:).md)