---
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: text
    dtype: string
  - name: language
    dtype: string
  splits:
  - name: train
    num_bytes: 60314308571
    num_examples: 18000000
  download_size: 34795421825
  dataset_size: 60314308571
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# OSCAR EU 6x3M Dataset

## Overview
The OSCAR EU 6x3M dataset is a carefully curated subset of the larger OSCAR corpus, specifically focusing on the main European languages. This dataset includes a balanced representation of six languages: English (en), German (de), Spanish (es), Italian (it), French (fr), and Russian (ru). The "6x3M" in the name signifies that each language is represented with approximately 3 million randomly sampled documents, providing a comprehensive and diverse linguistic resource.

## Dataset Description
- **Languages Included**: English, German, Spanish, Italian, French, Russian
- **Number of Documents**: Approximately 18 million (3 million per language)
- **Data Source**: The dataset is derived from the OSCAR corpus, a large multilingual corpus created from the Common Crawl.

## Use Cases
This dataset is ideal for a variety of natural language processing applications, including but not limited to:
- Multilingual language modeling
- Cross-linguistic transfer learning
- Language identification and classification
- Comparative linguistic studies

## Accessing the Dataset
The dataset is available through the HuggingFace Datasets library. You can load the dataset using the following code snippet:
```python
from datasets import load_dataset

dataset = load_dataset("oscar_eu_6x3M")