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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: paper_id |
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dtype: int64 |
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- name: title |
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dtype: string |
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- name: abstract |
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dtype: string |
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splits: |
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- name: en |
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num_bytes: 170801402 |
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num_examples: 182436 |
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- name: ru |
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num_bytes: 312579538 |
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num_examples: 194071 |
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download_size: 246316956 |
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dataset_size: 483380940 |
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configs: |
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- config_name: default |
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data_files: |
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- split: en |
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path: data/en-* |
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- split: ru |
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path: data/ru-* |
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language: |
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- ru |
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- en |
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pretty_name: ruSciBench |
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size_categories: |
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- 100K<n<1M |
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--- |
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# ruSciBench text data |
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Titles and abstracts of research papers in english and russian for ruSciBench benchmark. |
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[Habr post](https://habr.com/ru/articles/781032/) |
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[Benchmark code](https://github.com/mlsa-iai-msu-lab/ru-sci-bench) |
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[Google Colab example](https://colab.research.google.com/drive/1S04UOLRYuI2J5qM2QkoWqSbv6GO94YrP?usp=sharing) |
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### Authors |
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Benchmark developed by MLSA Lab of Institute for AI, MSU. |
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### Acknowledgement |
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The research is part of the project #23-Ш05-21 SES MSU "Development of mathematical methods of machine learning for processing large-volume textual scientific information". We would like to thank [eLibrary](https://elibrary.ru/) for provided datasets. |
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### Contacts |
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Nikolai Gerasimenko (nikgerasimenko@gmail.com), Alexey Vatolin (vatolinalex@gmail.com) |