# How to make training data with 1000s of features

**URL:** <https://forum.rasa.com/t/how-to-make-training-data-with-1000s-of-features/26885>\
**Category:** Rasa Open Source\
**Created:** [April 1, 2020, 11:17am UTC](https://forum.rasa.com/t/how-to-make-training-data-with-1000s-of-features/26885 "2020-04-01T11:17:09Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![nikamsau](https://avatars.discourse-cdn.com/v4/letter/n/ebca7d/32.png) [@nikamsau](https://forum.rasa.com/u/nikamsau)\
**Post date:** [April 1, 2020, 5:31pm UTC](https://forum.rasa.com/t/how-to-make-training-data-with-1000s-of-features/26885/5 "2020-04-01T17:31:57Z")

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- Show me [Bios Version] (feature\_type)
- Show me [Chassis Model] (feature\_type)
- Can you please tell the [IP Address] (feature\_type) ?
- Can you please tell the [DNS Rac name] (feature\_type)?

So here I’ve 1000 such feature types(entity value). How to train bot to identify and extract the correct entities? How can I use regular expression for this?

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