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license: cc-by-nc-nd-4.0
language:
- el
Dataset Info
This dataset contains an archive of press releases published by ERT (ΕΡΤ — Hellenic Broadcasting Corporation), the Greek public broadcaster. The data has been collected from the official press portal (https://press.ert.gr/category/deltia-typou/). The dataset provides a comprehensive collection of official announcements, media updates, and press communications spanning more than a decade (October 20, 2015 – March 19, 2026).
Metadata Info
| Column | Type | Nullable | Description |
|---|---|---|---|
| title | large_string | Yes | Title of the press release |
| datetime | timestamp (µs, Europe/Athens timezone) | Yes | Publication timestamp |
| text | large_string | Yes | Full article body text |
| url | large_string | No | Original source URL |
Dataset Statistics:
Tokens: 9,790,656
File size: 36,4 MB
Use Cases
This dataset can be useful for:
Greek NLP tasks (e.g., text classification, summarization, NER)
Temporal analysis of public communications
Training language models on Greek formal/journalistic text
License: This dataset is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). Any commercial use requires prior written permission from ΕΡΤ — Hellenic Broadcasting Corporation. All intellectual property rights remain with ΕΡΤ — Hellenic Broadcasting Corporation.
Dataset Moved:
This dataset is hosted by the Mozilla Data Collective. Please use the official link below for the most up-to-date version:
https://mozilladatacollective.com/datasets/cmo1sg74a00cwmk07q6nin2of
Contact:
For feedback contact: glossapi.team@eellak.gr
Gated Access
This dataset is distributed through Hugging Face's gated access mechanism. To request access, please provide a brief description of your project and, where applicable, a project, repository, or company URL.
By requesting access to this dataset, you acknowledge that the dataset maintainers may contact you regarding your access request and matters directly related to the administration, maintenance, security, responsible use, and licensing of the dataset, where necessary and in accordance with applicable data protection laws.