The minimum data size needed to train a model that understands human languages can vary. It is highly dependent on the specific tasks. 

For instance, simple task like sentiment analysis model can be trained with a few thousand labeled data sets. On the other hand, for a more complex task like large language models, you would need millions or even billions of label data sets to achieve acceptable results.
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence