|
--- |
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dataset_info: |
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features: |
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- name: pageName |
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dtype: string |
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- name: text |
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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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## Bias, Risks, and Limitations |
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The goal of this dataset is for you to have fun :) |
