# How many training examples do I need?

**URL:** <https://forum.rasa.com/t/how-many-training-examples-do-i-need/20957>\
**Category:** Rasa Open Source\
**Created:** [November 6, 2019, 7:42am UTC](https://forum.rasa.com/t/how-many-training-examples-do-i-need/20957 "2019-11-06T07:42:08Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![yjlee](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/yjlee/32/15370_2.png) [@yjlee](https://forum.rasa.com/u/yjlee)\
**Post date:** [November 6, 2019, 7:42am UTC](https://forum.rasa.com/t/how-many-training-examples-do-i-need/20957/1 "2019-11-06T07:42:08Z")

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Hi everyone,

Now I am implementing the rasa model in korean. In this process, I plan to use own training data to create custom word embeddings, because the spaCy do not support a pre-trained word embedding for korean. So, how many training examples do I need for creating effective word embeddings?

Thanks, Young-Jun Lee

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**Author:** ![koaning](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/koaning/32/6626_2.png) [@koaning](https://forum.rasa.com/u/koaning)\
**Post date:** [February 25, 2020, 12:08pm UTC](https://forum.rasa.com/t/how-many-training-examples-do-i-need/20957/2 "2020-02-25T12:08:33Z")

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“It depends”.

What is your goal? To train your own language model that is general for the entire korean language? Or a language model that is good enough on a small subset of it such that it can be used for a chatbot?

The general language model usually needs “loads”. For a chatbot though, it is probably more important to understand what types of questions to expect in the first place and you can make do with less.

I can’t say much about the korean language, because I’ve got little experience with it, but from my own experience … a bot that has 20 examples per intent usually is good enough for a demo.

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**Author:** ![koaning](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/koaning/32/6626_2.png) [@koaning](https://forum.rasa.com/u/koaning)\
**Post date:** [February 25, 2020, 12:14pm UTC](https://forum.rasa.com/t/how-many-training-examples-do-i-need/20957/3 "2020-02-25T12:14:12Z")

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Also … the release notes of spaCy suggest that Korean support is here

> **[Release v2.2.3: Tokenizer.explain, Korean base support, dependency scores per...](https://github.com/explosion/spaCy/releases/tag/v2.2.3)**
>
> ✨ New features and improvements
> 
> NEW: Tokenizer.explain method to see which rule or pattern was matched.
> tok\_exp = nlp.tokenizer.explain("(don't)")
> assert \[t\[0\] for t in tok\_exp\] == \["PREFIX", "SPE...