OpenLLM-Ro/fineweb2-ro-bert
FineWeb2-Ro-BERT FineWeb2-Ro-BERT is a large-scale pretraining dataset in the Romanian language. The data is derived from FineWeb2 and annotated using a bert architecture for signals such as educational quality or topic. More details can be found here. Key Features Massive Scale: Contains approximately 54.1M rows (documents or sequences), providing comprehensive linguistic coverage for training robust Romanian embeddings and encoders. Usage You… See the full description on the dataset page: https://huggingface.co/datasets/OpenLLM-Ro/fineweb2-ro-bert.
| Author / organization | OpenLLM-Ro |
|---|---|
| Downloads | 242 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 29 October 2025 |
| Last updated at source | 7 December 2025 |
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242 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: FineWeb2-Ro-BERT FineWeb2-Ro-BERT is a large-scale pretraining dataset in the Romanian language. The data is derived from FineWeb2 and annotated using a bert architecture for signals such as educational quality or topic. More details can be → FineWeb2-Ro-BERT FineWeb2-Ro-BERT is a large-scale pretraining dataset in the Romanian language. The data is derived from FineWeb2 and annotated using a bert architecture for signals such as educational quality or topic. More details can be
Changes detected by Silytics between refreshes of the source.
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