File size: 1,718 Bytes
2c390aa 0a3d2cb 2c390aa 90f09c7 2c390aa 90f09c7 0a3d2cb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
---
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-*
language:
- en
- de
- es
- it
- fr
- ru
---
# 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") |