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If you are looking for ways to evaluate your German BabyLMs, we recommend [our own lexical decision dataset](https://huggingface.co/datasets/bbunzeck/lexical-decision-german), [CLAMS](https://github.com/aaronmueller/clams) for syntactic evaluation and [XCOMPS](https://www.arxiv.org/abs/2502.19737) for conceptual semantics/world knowledge.
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The composition is inspired by the original, English BabyLM dataset (see [babylm.github.io](babylm.github.io)), more info can be found in our paper
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| Dataset | Description | \# Words |
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If you are looking for ways to evaluate your German BabyLMs, we recommend [our own lexical decision dataset](https://huggingface.co/datasets/bbunzeck/lexical-decision-german), [CLAMS](https://github.com/aaronmueller/clams) for syntactic evaluation and [XCOMPS](https://www.arxiv.org/abs/2502.19737) for conceptual semantics/world knowledge.
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The composition is inspired by the original, English BabyLM dataset (see [babylm.github.io](https://babylm.github.io)), more info can be found in [our paper](https://arxiv.org/abs/2503.11593), see also below for bib reference). It contains **16.5M words** from a variety of sources:
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| Dataset | Description | \# Words |
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