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README.md
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do_sample=True,
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use_cache=True))
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```
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do_sample=True,
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use_cache=True))
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```
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# Training Data
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We release most (95.79%) of our training data corpus as [BUT-Large Czech Collection](https://huggingface.co/datasets/BUT-FIT/but_lcc).
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# Our Release Plan
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| Stage | Description | Date |
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|---------------|----------------|----------------|
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| 1 | 'Best' model + training data | 13.03.2024
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| 2 | All checkpoints + training code|
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| 3 | __Benczechmark__ a collection of Czech datasets for few-shot LLM evaluation **Get in touch if you want to contribute!** |
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| 4 | Preprint Publication |
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## Getting in Touch
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For further questions, email to `[email protected]`.
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# Disclaimer
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This is a probabilistic model, it can output stochastic information. Authors are not responsible for the model outputs. Use at your own risk.
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# Acknowledgement
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This work was supported by NAKI III program of Ministry of Culture Czech Republic, project semANT ---
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"Sémantický průzkumník textového kulturního dědictví" grant no. `DH23P03OVV060` and
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by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:`90254`).
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# Citation
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```bibtex
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@article{benczechmark,
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author = {Martin Fajčík, Martin Dočekal, Jan Doležal, Karel Beneš, Michal Hradiš},
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title = {BenCzechMark: Machine Language Understanding Benchmark for Czech Language},
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journal = {arXiv preprint arXiv:insert-arxiv-number-here},
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year = {2024},
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month = {March},
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eprint = {insert-arxiv-number-here},
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archivePrefix = {arXiv},
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primaryClass = {cs.CL},
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}
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