## Prepare Data
## Structure of training data

You can provide the data to train a natural language classifier in comma-separated value (CSV) format.

In the CSV format, a row in the file represents an example record. Each record has two or more columns. The first column is the representative text to classify. The additional columns are classes that apply to that text. The following image shows a CSV file that has four records. Each record in this sample includes the text input and one class, which are separated by a comma:


![ ](../images/train_sample.svg)


You may either create your own training file or use the one provided here: <a target="_blank" href="https://github.com/fjgreco/Alexa-NLC/blob/master/data/labeled_phrases.csv" download="label_phrases.csv">labeled_phrases.csv</a> for training your classifier.


[![return](../buttons/return.png)](../README.md#Step-1-Create-NLC-Classifier)


For additional information: https://console.bluemix.net/docs/services/natural-language-classifier/using-your-data.html#using-your-data