Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Ukrainian
Size:
10M - 100M
License:
| dataset_info: | |
| features: | |
| - name: text | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 827986534 | |
| num_examples: 47982455 | |
| download_size: 429416941 | |
| dataset_size: 827986534 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| license: apache-2.0 | |
| task_categories: | |
| - token-classification | |
| language: | |
| - uk | |
| size_categories: | |
| - 10M<n<100M | |
| tags: | |
| - silver-standard | |
| - ukrainian | |
| - NER | |
| # UberText-NER-Silver | |
| **UberText-NER-Silver** is a silver-standard named entity recognition (NER) dataset for the Ukrainian language. It was automatically annotated using a high-performance model trained on NER-UK 2.0 and covers over 2.5 million social media and web sentences. The dataset significantly expands the coverage of underrepresented entity types and informal domains. | |
| ## Dataset Summary | |
| - **Total Sentences:** 2,573,205 | |
| - **Total Words:** 45,489,533 | |
| - **Total Entity Spans:** 4,393,316 | |
| - **Entity Types (13):** `PERS`, `ORG`, `LOC`, `DATE`, `TIME`, `JOB`, `MON`, `PCT`, `PERIOD`, `DOC`, `QUANT`, `ART`, `MISC` | |
| - **Format:** IOB-style, token-level annotations | |
| ## Source | |
| Texts were taken from the UberText 2.0 corpus social media part, filtered and preprocessed for noise reduction and duplication. The dataset includes both entity-rich and entity-free content to improve model generalization. | |
| ## Example Usage | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("lang-uk/UberText-NER-Silver", split="train") | |
| print(dataset[0]) | |
| ``` | |
| ## Applications | |
| - Training large-scale NER models for Ukrainian | |
| - Improving performance in low-resource and informal text domains | |
| - Cross-lingual or transfer learning experiments | |
| ## Authors | |
| [Vladyslav Radchenko](https://huggingface.co/pofce), [Nazarii Drushchak](https://huggingface.co/ndrushchak) | |
| <!-- citekit:start --> | |
| ## Citation | |
| If you use UberText-NER-Silver in your work, please cite: | |
| ```bibtex | |
| @inproceedings{chaplynskyi-romanyshyn-2024-introducing, | |
| title = "Introducing {NER}-{UK} 2.0: A Rich Corpus of Named Entities for {U}krainian", | |
| author = "Chaplynskyi, Dmytro and | |
| Romanyshyn, Mariana", | |
| editor = "Romanyshyn, Mariana and | |
| Romanyshyn, Nataliia and | |
| Hlybovets, Andrii and | |
| Ignatenko, Oleksii", | |
| booktitle = "Proceedings of the Third Ukrainian Natural Language Processing Workshop (UNLP) @ LREC-COLING 2024", | |
| month = may, | |
| year = "2024", | |
| address = "Torino, Italia", | |
| publisher = "ELRA and ICCL", | |
| url = "https://aclanthology.org/2024.unlp-1.4/", | |
| doi = "10.63317/5mqwb7ftiezv", | |
| pages = "23--29", | |
| ISBN = "978-2-493814-43-2" | |
| } | |
| @inproceedings{chaplynskyi-2023-introducing, | |
| title = "Introducing {U}ber{T}ext 2.0: A Corpus of {M}odern {U}krainian at Scale", | |
| author = "Chaplynskyi, Dmytro", | |
| editor = "Romanyshyn, Mariana", | |
| booktitle = "Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)", | |
| month = may, | |
| year = "2023", | |
| address = "Dubrovnik, Croatia", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/2023.unlp-1.1/", | |
| doi = "10.18653/v1/2023.unlp-1.1", | |
| pages = "1--10" | |
| } | |
| ``` | |
| Paper: https://aclanthology.org/2024.unlp-1.4/ | |
| DOI: https://doi.org/10.63317/5mqwb7ftiezv | |
| <!-- citekit:end --> | |
| --- | |
| *Mirror created 2026-10-11 by the JoTalbot/ukraine pipeline. Original source: https://huggingface.co/datasets/lang-uk/UberText-NER-Silver — please credit and respect the original dataset's license.* | |