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flaviusburca VladNA commited on
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Duplicate from OpenLLM-Ro/fineweb2-ro-bert

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Co-authored-by: Vlad Negoita <VladNA@users.noreply.huggingface.co>

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+ ---
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+ splits:
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+ - name: train
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+ num_bytes: 225675034950
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+ num_examples: 54128784
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+ download_size: 131804901421
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+ dataset_size: 225675034950
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ ---
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+
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+ # FineWeb2-Ro-BERT
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+
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+ **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).
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+
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+ ## Key Features
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+
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+ * **Massive Scale**: Contains approximately **54.1M** rows (documents or sequences), providing comprehensive linguistic coverage for training robust Romanian embeddings and encoders.
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+
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+ ## Usage
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+
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+ You can load this dataset using the Hugging Face `datasets` library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("OpenLLM-Ro/fineweb2-ro-bert", split="train")
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