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README.md

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 # bcms-bertic-parlasent-bcs-ter
 
-Ternary text classification model based on [`classla/bcms-bertic`](https://huggingface.co/classla/bcms-bertic) and fine-tuned on the BCS Political Sentiment dataset. Labels used were {Negative, Neutral, Positive}. For the binary classifier, see [this model](https://huggingface.co/classla/bcms-bertic-parlasent-bcs-bi).
+Ternary text classification model based on [`classla/bcms-bertic`](https://huggingface.co/classla/bcms-bertic) and fine-tuned on the BCS Political Sentiment dataset (sentence-level data).
 
 
 For details on the dataset and the finetuning procedure, please see [this paper](https://arxiv.org/abs/2206.00929).