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--- |
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language: |
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- ro |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: text |
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dtype: string |
|
|
- name: url |
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|
dtype: string |
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- name: date |
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dtype: string |
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|
- name: dump |
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dtype: string |
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|
- name: file_path |
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dtype: string |
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- name: language_score |
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dtype: float64 |
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- name: minhash_cluster_size |
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dtype: int64 |
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- name: top_langs |
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dtype: string |
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- name: output |
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dtype: string |
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- name: explanation |
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dtype: string |
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- name: int_score |
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dtype: string |
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- name: age_group |
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dtype: string |
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- name: topic |
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dtype: string |
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- name: subtopic |
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dtype: string |
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- name: format |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 5492801065 |
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num_examples: 1058200 |
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download_size: 2976465017 |
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dataset_size: 5492801065 |
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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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# FineWeb2-Ro-LLM |
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**FineWeb2-Ro-LLM** is a high-quality pretraining dataset for the Romanian language. The data comes from [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2) and |
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annotated leveraging LLMs. 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 annotated 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") |
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