---
dataset_info:
  features:
  - name: pageName
    dtype: string
  - name: text
    dtype: string
  - name: lang_identity
    dtype: string
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 2573053
    num_examples: 5401
  download_size: 1273799
  dataset_size: 2573053
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: apache-2.0
task_categories:
- text-generation
language:
- ar
size_categories:
- 1K<n<10K
---
# Darija Facebook Posts Dataset

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
This dataset consists of more than 5k public posts from Facebook. Each post contains text content, metadata.
This dataset containt more than 400K darija tokens.


- **Curated by:** @abdeljalilELmajjodi
- **Language(s) (NLP):** Multiple (primarily Moroccon Arabic)


## Uses

This dataset could be used for:

* Training and testing language models on social media content
* Analyzing social media posting patterns
* Studying conversation structures and reply networks
* Research on social media content moderation
* Natural language processing tasks using social media datas


## Dataset Structure

Contains the following fields for each post:

* text: The main content of the post
* PageName: Timestamp of post creation
* lang_identity: Language code (ary_Arab,ara_Arab,...)

## Other
To Identify posts language we used Gherbal classifier by @Sawalni, and it gives the next results:

![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f5c3528fb2b1535728138f/GgzsN2ds0_5qOKv5A03Xp.png)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f5c3528fb2b1535728138f/mGWQJSwnlah19onq7Lot6.png)

## Bias, Risks, and Limitations
The goal of this dataset is for you to have fun :)