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---
license: cc-by-4.0
language:
- en
pipeline_tag: text-classification
---
# Target-Demographic Classifier
<!-- Provide a quick summary of what the model is/does. -->
The roBERTa-based target-demographic classifier is finetuned on the [CONAN](https://github.com/marcoguerini/CONAN) dataset for classifying whether a response's content is about one or multiple of the 8 target demographics, based on the topic classifier [cardiffnlp/tweet-topic-21-multi](https://huggingface.co/cardiffnlp/tweet-topic-21-multi)
Currently trained for the following classes:
["MIGRANTS", "POC", "LGBT+", "MUSLIMS", "WOMEN", "JEWS", "other", "DISABLED"]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
The model is intended for classifying LM-generated dialogue responses, and evaluating their relevancy to the given input sequence. |