Update README.md

README.md

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   - split: train
     path: data/train-*
 ---
+
+# FineWeb2-Ro-BERT
+
+**FineWeb2-Ro-BERT** is a large-scale pretraining dataset in the Romanian language. The data is derived from [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2) and annotated using a bert architecture for signals such as `educational quality` or `topic`. More details can be found [here](https://arxiv.org/abs/2511.01090).
+
+## 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 can load this dataset using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("OpenLLM-Ro/fineweb2-ro-bert", split="train")