Post
398
New Release: VagueIntent Datasets for Hospitality Intent Classification.
Introducing the VagueIntent collection - a new resource for improving hospitality chatbots' ability to understand ambiguous guest requests:
atyurin/vagueintent-hospitality-intent-classification-challenge-681ba6c4ac8f09f308d1b7f8
The collection features two specialized datasets:
1) atyurin/VagueIntent-Train: 400 samples of vague guest queries mapped to 40 distinct hospitality intents
2) atyurin/VagueIntent-Eval: 100 samples for benchmarking model performance
These datasets address a common challenge in hospitality AI: understanding what guests want when they don't express it directly.
For example, "I'm concerned about my belongings after I officially conclude my stay" actually means "I want a late check-out."
Use these datasets to fine-tune language models and improve intent classification for hospitality applications.
Introducing the VagueIntent collection - a new resource for improving hospitality chatbots' ability to understand ambiguous guest requests:
atyurin/vagueintent-hospitality-intent-classification-challenge-681ba6c4ac8f09f308d1b7f8
The collection features two specialized datasets:
1) atyurin/VagueIntent-Train: 400 samples of vague guest queries mapped to 40 distinct hospitality intents
2) atyurin/VagueIntent-Eval: 100 samples for benchmarking model performance
These datasets address a common challenge in hospitality AI: understanding what guests want when they don't express it directly.
For example, "I'm concerned about my belongings after I officially conclude my stay" actually means "I want a late check-out."
Use these datasets to fine-tune language models and improve intent classification for hospitality applications.