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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: author |
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dtype: string |
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- name: year |
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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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- name: article |
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dtype: string |
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- name: sum |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 37252397 |
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num_examples: 980 |
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download_size: 18749417 |
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dataset_size: 37252397 |
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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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task_categories: |
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- summarization |
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language: |
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- ru |
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pretty_name: humarticles |
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--- |
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# **Humarticles: Russian Academic Articles Dataset** |
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**Humarticles** is a comprehensive collection of Russian-language academic articles, designed to support the development of AI models for text summarization, semantic search, and natural language understanding. This dataset contains a variety of academic papers from different domains, complete with abstracts, full articles, and metadata such as author names and publication years. |
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### **Dataset Overview** |
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- **Language**: Russian |
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- **Size**: 980 academic articles |
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- **Fields**: |
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- **ID**: A unique identifier for each article. |
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- **Author**: The author(s) of the article. |
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- **Year**: The year the article was published. |
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- **Title**: The title of the article. |
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- **Abstract**: A brief summary of the article. |
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- **Article**: The full text of the article. |
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- **Summary**: A more concise summary or key insights from the article. |
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### **Purpose** |
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Humarticles was created with the goal of advancing research in several areas, including: |
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- **Text Summarization**: Use the articles and their summaries to train models that can automatically condense scientific papers. |
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- **Semantic Search**: Enhance search engines to help researchers find relevant articles quickly using natural language queries. |
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- **Machine Translation**: Improve machine translation systems by providing high-quality, domain-specific Russian text and corresponding summaries. |
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- **Linguistic Analysis**: Analyze the style, tone, and structure of Russian academic writing. |
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### **Contributing** |
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We welcome contributions! If you have any suggestions or improvements for this dataset, feel free to open an issue or submit a pull request. |
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