CAMeL-Lab
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text-editing-qalb14-nopnx

Token Classification

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balhafni commited on 11 days ago

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@@ -11,7 +11,7 @@ pipeline_tag: token-classification
 ## Model Description
 `CAMeL-Lab/text-editing-qalb14-nopnx` is a text editing model tailored for grammatical error correction (GEC) in Modern Standard Arabic (MSA).
-The model is based on [AraBERTv02](https://huggingface.co/aubmindlab/bert-base-arabertv02), which we fine-tuned using the QALB-2014 dataset.
 This model was introduced in our ACL 2025 paper, [Enhancing Text Editing for Grammatical Error Correction: Arabic as a Case Study](https://arxiv.org/abs/2503.00985), where we refer to it as SWEET (Subword Edit Error Tagger).
 The model was fine-tuned to fix non-punctuation (i.e., NoPnx) errors. Details about the training procedure, data preprocessing, and hyperparameters are available in the paper.

 ## Model Description
 `CAMeL-Lab/text-editing-qalb14-nopnx` is a text editing model tailored for grammatical error correction (GEC) in Modern Standard Arabic (MSA).
+The model is based on [AraBERTv02](https://huggingface.co/aubmindlab/bert-base-arabertv02), which we fine-tuned using the [QALB-2014](https://camel.abudhabi.nyu.edu/qalb-shared-task-2015/) dataset.
 This model was introduced in our ACL 2025 paper, [Enhancing Text Editing for Grammatical Error Correction: Arabic as a Case Study](https://arxiv.org/abs/2503.00985), where we refer to it as SWEET (Subword Edit Error Tagger).
 The model was fine-tuned to fix non-punctuation (i.e., NoPnx) errors. Details about the training procedure, data preprocessing, and hyperparameters are available in the paper.