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--- |
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dataset_info: |
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features: |
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- name: file_name |
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dtype: string |
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- name: id |
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dtype: string |
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- name: language |
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dtype: string |
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- name: language_score |
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dtype: float64 |
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- name: source |
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dtype: string |
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- name: subsource |
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dtype: string |
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- name: text |
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dtype: string |
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- name: translated |
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dtype: string |
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- name: fineweb-nemotron-edu-score |
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dtype: float32 |
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- name: fineweb-nemotron-edu-score-label |
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dtype: string |
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- name: fineweb-mixtral-edu-score |
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dtype: float32 |
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- name: fineweb-mixtral-edu-score-label |
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dtype: string |
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- name: fasttext-quality-score |
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dtype: float32 |
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- name: __index_level_0__ |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 26246248313 |
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num_examples: 3000000 |
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download_size: 13587653626 |
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dataset_size: 26246248313 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: cc-by-4.0 |
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task_categories: |
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- text-generation |
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- text-classification |
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language: |
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- uk |
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tags: |
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- ukrainian |
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- nlp |
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- data |
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- scoring |
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--- |
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# Dataset Card for Lapa High Quality Pretraining Dataset |
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## Dataset Description |
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**Dataset Summary** |
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This dataset is a random sample of both https://huggingface.co/datasets/lapa-llm/pretraining-lower-quality and https://huggingface.co/datasets/lapa-llm/pretraining-high-quality to transfer classifiers from English language to Ukrainian. |
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It was used to transfer the following models from this collection https://huggingface.co/collections/lapa-llm/lapa-v012-pretraining: |
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- lapa-llm/fineweb-nemotron-edu-score |
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- lapa-llm/fineweb-mixtral-edu-score |
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- lapa-llm/fasttext-quality-score |
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**Languages** |
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- Ukrainian (uk) |
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## Dataset Creation |
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**Source Data** |
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- Base dataset: Kobza, FinePDFs, FineWeb, UberText |
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## Considerations for Using the Data |
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**Social Impact** |
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Aims to strengthen the Ukrainian-language LLM ecosystem and improve accessibility of language technology for Ukrainian speakers. |
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## Citation |
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**BibTeX** |
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TBD |
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## License |
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CC-BY-SA-4.0 |
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--- |
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*This dataset is part of the "Lapa" - Ukrainian LLM initiative to advance natural language processing for the Ukrainian language.* |
