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metadata
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:

from datasets import load_dataset

dataset = load_dataset("oscar_eu_6x3M")