---
dataset_info:
  features:
  - name: url
    dtype: string
  - name: doc_id
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 869942546
    num_examples: 2166250
  download_size: 264393568
  dataset_size: 869942546
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- text-generation
language:
- fa
tags:
- OSCAR
- mOSCAR
- Language Modeling
- Persian Data
pretty_name: mOSCAR Persian Data
size_categories:
- 1M<n<10M
---
# Dataset Card for [mOSCAR-Persian](https://huggingface.co/datasets/ErfanMoosaviMonazzah/mOSCAR-Persian)
This is a clone of [mOSCAR](https://huggingface.co/datasets/oscar-corpus/mOSCAR) Persian split (images excluded), which is further divided into single documents. Both URLs and Document IDs are consistent with mOSCAR.

## Dataset Description
- **Curated by:** [Erfan Moosavi Monazzah](https://huggingface.co/ErfanMoosaviMonazzah)
- **Language(s) (NLP):** Persian

## Dataset Sources
- **Repository:** [mOSCAR](https://huggingface.co/datasets/oscar-corpus/mOSCAR)
- **Paper [optional]:** [mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus](https://arxiv.org/abs/2406.08707)

## Citation
```
@article{futeral2024moscar,
  title={mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus},
  author={Futeral, Matthieu and Zebaze, Armel and Suarez, Pedro Ortiz and Abadji, Julien and Lacroix, R{\'e}mi and Schmid, Cordelia and Bawden, Rachel and Sagot, Beno{\^\i}t},
  journal={arXiv preprint arXiv:2406.08707},
  year={2024}
}
```