abdeljalilELmajjodi
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Update README.md
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README.md
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dtype: string
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- name: lang_identity
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dtype: string
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- name: nbr_tokens
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dtype: int64
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- name: __index_level_0__
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dtype: int64
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splits:
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- name: train
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num_bytes:
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num_examples: 5401
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download_size:
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dataset_size:
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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dtype: string
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- name: lang_identity
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dtype: string
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- name: __index_level_0__
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dtype: int64
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splits:
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- name: train
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num_bytes: 2573053
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num_examples: 5401
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download_size: 1273799
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dataset_size: 2573053
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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license: apache-2.0
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task_categories:
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- text-generation
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language:
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- ar
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size_categories:
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- 1K<n<10K
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---
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# Darija Facebook Posts Dataset
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## Dataset Details
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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This dataset consists of more than 5k public posts from Facebook. Each post contains text content, metadata.
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This dataset containt more than 400K darija tokens.
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- **Curated by:** @abdeljalilELmajjodi
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- **Language(s) (NLP):** Multiple (primarily Moroccon Arabic)
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## Uses
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This dataset could be used for:
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* Training and testing language models on social media content
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* Analyzing social media posting patterns
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* Studying conversation structures and reply networks
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* Research on social media content moderation
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* Natural language processing tasks using social media datas
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## Dataset Structure
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Contains the following fields for each post:
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* text: The main content of the post
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* PageName: Timestamp of post creation
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* lang_identity: Language code (ary_Arab,ara_Arab,...)
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## Other
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To Identify posts language we used Gherbal classifier by @Sawalni, and it gives the next results:
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f5c3528fb2b1535728138f/GgzsN2ds0_5qOKv5A03Xp.png)
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f5c3528fb2b1535728138f/mGWQJSwnlah19onq7Lot6.png)
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## Bias, Risks, and Limitations
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The goal of this dataset is for you to have fun :)
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