Lenta.Ru Russian News Article Corpus

A corpus of Russian news articles collected from the Lenta.Ru news website. The dataset was created by author yutkin and last updated in November 2022. The specific size, row count, and temporal coverage are not detailed in the provided metadata.

Use Cases

• Training Russian language models on news article text content.
• Analyzing media topics and sentiment from article headlines and bodies.
• Building text classification models to categorize articles by inferred topic or section.
• Studying linguistic patterns and named entity recognition within Russian news prose.

Strengths

• Dataset is sourced from a major Russian news outlet, Lenta.Ru.
• Last update recorded was in November 2022.

Limitations

• Unknown number of articles (row count) and time range of coverage.
• Potential geographic and linguistic bias, being exclusively Russian news content.
• Data freshness is uncertain as the last update was over a year ago.

Provenance

Source

Lenta.Ru news website.

Collection Method

Collected via a parser written in Python using Asyncio.

Freshness

Last updated 2022-11-19; update frequency is null.

Geography

Russia (implied by source and language).