Two news sources, Hamshahri and RadioFarda, contribute Farsi (Persian) articles extracted from RSS feeds. The text data captures headlines and summaries, representing both domestic Iranian and international media perspectives.
Use Cases
- Train a news source classifier to distinguish between the writing styles of Hamshahri and RadioFarda.
- Develop a Persian-language summarization model using the title and description fields.
- Perform named entity recognition on news headlines to identify regional political figures and locations.
Strengths
- Aggregates news content from two primary Farsi sources: Hamshahri and RadioFarda.
- Data is structured based on RSS feed components, including article titles and descriptions.
- Focuses on the Farsi (Persian) language for specialized NLP research.