Bitext - Customer Service Tagged Training Dataset for LLM-based Chatbots
Overview
This dataset can be used to train chatbots on Large Language Models such as GPT, Llama2 and Falcon.
The dataset is parallel to our Evaluation dataset (see Customer Service Tagged Evaluation Dataset for Intent Detection). Both datasets can be used in conjunction to first train and then evaluate the accuracy provided by training. The main difference between the two datasets is the number of utterances:
The training dataset contains 4,514 utterances (around 160 per intent)
The evaluation dataset contains around 270,000 utterances (around 10,000 per intent)
Both datasets share the rest of the specifications, so they can be used in conjunction. The training dataset has the following specs, shared with the evaluation dataset:
Customer Service domain
11 categories or intent groups
27 intents assigned to one of the 11 categories
7 entity/slot types
Each utterance is tagged with entities/slots when applicable. …
