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---
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license: apache-2.0
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dataset_info:
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features:
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- name: text
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dtype: string
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splits:
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- name: train
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num_examples: 142178930
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- name: validation
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num_examples: 71208
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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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- split: validation
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path: data/validation-*
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task_categories:
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- text-generation
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language:
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- ru
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size_categories:
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- 100M<n<1B
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---
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# Cultura-Ru-Edu
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The `Cultura-Ru-Edu` dataset consists of Russian educational web pages filtered from the [`uonlp/CulturaX`](https://huggingface.co/datasets/uonlp/CulturaX) dataset.
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The dataset creation was inspired by [`HuggingFaceFW/fineweb-edu`](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu), but with a focus on the Russian language.
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By filtering the dataset based on educational criteria, the `Cultura-Ru-Edu` dataset is both high-quality and large enough to train a Russian-focused language model for tasks requiring knowledge of the world.
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## Dataset curation
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To create this dataset, we annotated a subset with the `Meta-Llama-3-70B-Instruct` model, trained a classifier on it, and then applied it to the entire dataset, keeping only the high-quality samples.
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### Annotation
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Follow [`deepvk/cultura_ru_edu_llama3_annotations`](https://huggingface.co/datasets/deepvk/cultura_ru_edu_llama3_annotations) to see details about creating the annotation dataset.
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### Training classifier
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We trained a classifier based on the [`USER-base`](https://huggingface.co/deepvk/USER-base) model.
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Unlike the original FineWeb-Edu pipeline, we used binary classification, where the positive class includes samples with a score of 3 and higher.
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We found this approach more stable due to the high imbalance in the annotation dataset.
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### Dataset scoring
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We converted the classifier to ONNX format and applied it to the Russian part of the [`uonlp/CulturaX`](https://huggingface.co/datasets/uonlp/CulturaX) dataset.
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The original dataset contained approximately 800 million documents, and after filtration, only 140 million documents remained (~17.5% of the original dataset).
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## Dataset information
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Each sample contains only one property — `text`, the original text document.
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Some notes:
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- This dataset is a filtered version of the larger, multilingual [`uonlp/CulturaX`](https://huggingface.co/datasets/uonlp/CulturaX) dataset. No other information was added or removed.
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- Since the original dataset consists of parsed web pages, there may still be artifacts in the text header or footer. Future work may include detecting and removing such blocks.
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## Usage
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To use this dataset, one may simply use the `datasets` API.
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```python
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from datasets import load_dataset
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cultura_ru_edu = load_dataset("deepvk/cultura_ru_edu", split="train", streaming=True)
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```
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Note that the dataset size is approximately 500GB, so it is better to use streaming or download it directly via Git LFS.
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## Citations
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```
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@misc{deepvk2024cultura-ru-edu,
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title={Cultura-Ru-Edu},
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author={Spirin, Egor and Sokolov, Andrey},
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url={https://huggingface.co/datasets/deepvk/cultura_ru_edu},
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publisher={Hugging Face}
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year={2024},
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}
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```
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