Update README.md

README.md

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   - split: train
     path: data/train-*
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-# Dataset Card for "oscar_eu_6x3M"
+# OSCAR EU 6x3M Dataset
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## 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.
+- **Data Format**: [Describe the format, e.g., JSON, CSV, etc.]
+
+## 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")