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---
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.
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