metadata

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

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:

Bias, Risks, and Limitations

The goal of this dataset is for you to have fun :)