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@@ -412,6 +412,23 @@ Every config also has a test set (for validation) of 1% the total size of the da
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  Wikipedia and CulturaX were shuffled before merging and the test set creation was also shuffled. Priority is given to Wikipedia to prioritize knowledge and cultural content, so the smaller configs will consist exclusively of Wikipedia and for the larger configs we augment with CulturaX. Every config builds further on the previous, so this means that every config contains the same data as the smaller ones and more HOWEVER their train/test splits are not the same, so test set of one config may overlap with samples for another training set. This is usually not a problem but just be aware that you do not train on one config's training set and test with another config's test set.
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  ## Configs
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  ### `10k` -- 79 samples -- 10,087 tokens
 
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  Wikipedia and CulturaX were shuffled before merging and the test set creation was also shuffled. Priority is given to Wikipedia to prioritize knowledge and cultural content, so the smaller configs will consist exclusively of Wikipedia and for the larger configs we augment with CulturaX. Every config builds further on the previous, so this means that every config contains the same data as the smaller ones and more HOWEVER their train/test splits are not the same, so test set of one config may overlap with samples for another training set. This is usually not a problem but just be aware that you do not train on one config's training set and test with another config's test set.
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+ ## Citation
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+
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+ If you use [Fietje](https://huggingface.co/BramVanroy/fietje-2) or the [CulturaX + Wikipedia filtered subset](https://huggingface.co/datasets/BramVanroy/wikipedia_culturax_dutch) in your work, please cite to the following paper:
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+ ```bibtex
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+ @misc{vanroy2024fietjeopenefficientllm,
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+ title={Fietje: An open, efficient LLM for Dutch},
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+ author={Bram Vanroy},
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+ year={2024},
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+ eprint={2412.15450},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2412.15450},
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+ }
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+ ```
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+
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  ## Configs
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  ### `10k` -- 79 samples -- 10,087 tokens