Pretraining Datasets
Collection
This collection provides high-quality, large-scale Romanian pretraining datasets derived from FineWeb-2. • 3 items • Updated
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FineWeb2-Ro-LLM
FineWeb2-Ro-LLM is a high-quality pretraining dataset for the Romanian language. The data comes from FineWeb2 and annotated leveraging LLMs. More details can be found here.
Key Features
- High Quality: The dataset was annotated using Gemma3 12B
- Large Scale: Contains approximately 1.06M documents (rows).
- Rich Metadata: Includes detailed metadata such as quality scores (
int_score), topics, subtopics, and reasoning/explanations for the assigned quality scores.
Usage
You can load this dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("OpenLLM-Ro/fineweb2-ro-llm", split="train")
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