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@@ -47,3 +47,23 @@ configs:
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  - split: train
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  path: data/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: train
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  path: data/train-*
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  ---
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+ # FineWeb2-Ro-LLM
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+ **FineWeb2-Ro-LLM** is a high-quality pretraining dataset for the Romanian language. The data was filtered from [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2) leveraging LLMs.
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+ More details can be found [here](https://arxiv.org/abs/2511.01090).
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+ ## Key Features
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+ * **High Quality**: The dataset was filtered using [Gemma3 12B](https://huggingface.co/google/gemma-3-12b-it)
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+ * **Large Scale**: Contains approximately **1.06M** documents (rows).
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+ * **Rich Metadata**: Includes detailed metadata such as quality scores (`int_score`), topics, subtopics, and reasoning/explanations for the assigned quality scores.
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+ ## Usage
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+ You can load this dataset using the Hugging Face `datasets` library:
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset("OpenLLM-Ro/fineweb2-ro-llm", split="train")