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README.md
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MEL was benchmarked on two datasets:
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### **1. Multieurlex (Spanish Legal Texts Classification)**
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- **Task:** Multilabel classification of EU laws
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- **Performance:**
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- **MEL achieves an F1 score of 0.8025**, outperforming **XLM-RoBERTa-Large (0.7962)**, **Legal-XLM-RoBERTa (0.7933)**, and **RoBERTalex (0.7890)**.
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MEL was benchmarked on two datasets:
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### **1. Multieurlex (Spanish Legal Texts Classification)**
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- **Link:** https://huggingface.co/datasets/coastalcph/multi_eurlex
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- **Task:** Multilabel classification of EU laws
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- **Performance:**
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- **MEL achieves an F1 score of 0.8025**, outperforming **XLM-RoBERTa-Large (0.7962)**, **Legal-XLM-RoBERTa (0.7933)**, and **RoBERTalex (0.7890)**.
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