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SLR-Bench-Spanish

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ahmad21omar commited on Oct 8, 2025

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 [![Eval & Reward Model](https://img.shields.io/badge/%F0%9F%A4%96%20Reward%20Model-HF-blueviolet)](https://huggingface.co/spaces/AIML-TUDA/VerifiableRewardsForScalableLogicalReasoning)
 [![GitHub](https://img.shields.io/badge/Code-GitHub-blue)](https://github.com/ml-research/ScalableLogicalReasoning)
 [![arXiv](https://img.shields.io/badge/arXiv-2506.15787-b31b1b.svg)](https://arxiv.org/abs/2506.15787)
-[![SLR-Bench (English)](https://img.shields.io/badge/SLR--Bench-English-orange)](https://huggingface.co/datasets/AIML-TUDA/SLR-Bench)
-[![SLR-Bench-Spanish](https://img.shields.io/badge/SLR--Bench-Spanish-red)](https://huggingface.co/datasets/AIML-TUDA/SLR-Bench-Spanish)
 **SLR-Bench-Spanish** is the **Spanish-language pendant** of the original [**SLR-Bench**](https://huggingface.co/datasets/AIML-TUDA/SLR-Bench) dataset.
 It follows the same symbolic structure, evaluation framework, and curriculum as the English version but provides all **natural-language task prompts translated into Spanish**.

 [![Eval & Reward Model](https://img.shields.io/badge/%F0%9F%A4%96%20Reward%20Model-HF-blueviolet)](https://huggingface.co/spaces/AIML-TUDA/VerifiableRewardsForScalableLogicalReasoning)
 [![GitHub](https://img.shields.io/badge/Code-GitHub-blue)](https://github.com/ml-research/ScalableLogicalReasoning)
 [![arXiv](https://img.shields.io/badge/arXiv-2506.15787-b31b1b.svg)](https://arxiv.org/abs/2506.15787)
+## SLR-Bench Versions:
+[![SLR-Bench 🇬🇧](https://img.shields.io/badge/SLR--Bench-English-orange)](https://huggingface.co/datasets/AIML-TUDA/SLR-Bench)
+[![SLR-Bench 🇩🇪](https://img.shields.io/badge/SLR--Bench-German-red)](https://huggingface.co/datasets/AIML-TUDA/SLR-Bench-German)
+[![SLR-Bench 🇪🇸](https://img.shields.io/badge/SLR--Bench-Spanish-yellow)](https://huggingface.co/datasets/AIML-TUDA/SLR-Bench-Spanish)
 **SLR-Bench-Spanish** is the **Spanish-language pendant** of the original [**SLR-Bench**](https://huggingface.co/datasets/AIML-TUDA/SLR-Bench) dataset.
 It follows the same symbolic structure, evaluation framework, and curriculum as the English version but provides all **natural-language task prompts translated into Spanish**.