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reginafeles
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humarticles

Tasks:
Summarization
Modalities:
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Languages:
Russian
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metadata
dataset_info:
  features:
    - name: id
      dtype: string
    - name: author
      dtype: string
    - name: year
      dtype: int64
    - name: title
      dtype: string
    - name: abstract
      dtype: string
    - name: article
      dtype: string
    - name: sum
      dtype: string
  splits:
    - name: train
      num_bytes: 37252397
      num_examples: 980
  download_size: 18749417
  dataset_size: 37252397
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - summarization
language:
  - ru
pretty_name: humarticles

Humarticles: Russian Academic Articles Dataset

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.

Dataset Overview

  • Language: Russian
  • Size: 980 academic articles
  • Fields:
    • ID: A unique identifier for each article.
    • Author: The author(s) of the article.
    • Year: The year the article was published.
    • Title: The title of the article.
    • Abstract: A brief summary of the article.
    • Article: The full text of the article.
    • Summary: A more concise summary or key insights from the article.

Purpose

Humarticles was created with the goal of advancing research in several areas, including:

  • Text Summarization: Use the articles and their summaries to train models that can automatically condense scientific papers.
  • Semantic Search: Enhance search engines to help researchers find relevant articles quickly using natural language queries.
  • Machine Translation: Improve machine translation systems by providing high-quality, domain-specific Russian text and corresponding summaries.
  • Linguistic Analysis: Analyze the style, tone, and structure of Russian academic writing.

Contributing

We welcome contributions! If you have any suggestions or improvements for this dataset, feel free to open an issue or submit a pull request.