language:en license:mit region:us
---
license: mit
language:
- en
pretty_name: 'DIARC-embodied-nlu-styled-4k '
---
# DIARC-LLM-Parser-Embodied-NLU-Styled-4K

This dataset contains about ~4k utterances together with their semantic parses as interpretable by the DIARC cognitive robotic architecture.

The parses are meant to capture the speech-theoretic aspects of NL and parse the intent, referents, and descriptors in the utterance. 

This dataset is one in a set of datasets. For this particular one, we programmatically built 127 utterances and semantics that are groundable in a robotic architecture (DIARC)/
These 127 utterances were then expanded into ~4k style variations across four dimensions

1. Directness/Indirectness
2. Formality
3. Familiarity (whether it was uttered by a native speaker or a second-language speaker)
4. Word choice