Datasetpublic

KateIce/photonika-russian-tech-media-corpus

Overview The Russian Photonics Tech-Media Corpus (RPTMC) is a Russian-language domain-specific corpus containing publications related to photonics, laser technologies, fiber optics, optoelectronics, spectroscopy, scientific instrumentation, and quantum technologies. The corpus consists of 3,524 publications collected from specialized Telegram channels representing industrial, scientific, educational, and technology-oriented communication. Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/KateIce/photonika-russian-tech-media-corpus.

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Dataset Card

Overview

The Russian Photonics Tech-Media Corpus (RPTMC) is a Russian-language domain-specific corpus containing publications related to photonics, laser technologies, fiber optics, optoelectronics, spectroscopy, scientific instrumentation, and quantum technologies.

The corpus consists of 3,524 publications collected from specialized Telegram channels representing industrial, scientific, educational, and technology-oriented communication.

Dataset Statistics

—Documents: 3,524
—Language: Russian
—Sources: 6 Telegram channels
—Size: 6.61 MB

Dataset Structure

Field	Type	Description
message	string	Publication text
channel	string	Source channel

Example

json

{
  "message": "Компания ЛЛС получила статус эксклюзивного дистрибьютора...",
  "channel": "lenlasers_spb"
}

Domain Coverage

The corpus covers:

—Photonics
—Laser technologies
—Fiber optics
—Optoelectronics
—Scientific instrumentation
—Quantum technologies

Potential Applications

—Terminology extraction
—Topic modeling
—Information retrieval
—Corpus linguistics
—Domain adaptation of language models
—Named entity recognition

Citation

Ekaterina Isaeva (2025). Russian Photonics Tech-Media Corpus (RPTMC).