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--- |
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language: |
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- ar |
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task_categories: |
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- text-classification |
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--- |
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# AutoTrain Dataset for project: Poem_Rawiy_detection |
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## Dataset Descritpion |
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We used the APCD dataset cited hereafter for pretraining the model. The dataset has been cleaned and only the main text and the Qafiyah columns were kept: |
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``` |
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@Article{Yousef2019LearningMetersArabicEnglish-arxiv, |
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author = {Yousef, Waleed A. and Ibrahime, Omar M. and Madbouly, Taha M. and Mahmoud, |
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Moustafa A.}, |
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title = {Learning Meters of Arabic and English Poems With Recurrent Neural Networks: a Step |
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Forward for Language Understanding and Synthesis}, |
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journal = {arXiv preprint arXiv:1905.05700}, |
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year = 2019, |
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url = {https://github.com/hci-lab/LearningMetersPoems} |
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} |
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``` |
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### Languages |
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The BCP-47 code for the dataset's language is ar. |
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## Dataset Structure |
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### Data Instances |
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A sample from this dataset looks as follows: |
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```json |
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[ |
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{ |
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"text": "\u0643\u0644\u0651\u064c \u064a\u064e\u0632\u0648\u0644\u064f \u0633\u064e\u0631\u064a\u0639\u0627\u064b \u0644\u0627 \u062b\u064e\u0628\u0627\u062a\u064e \u0644\u0647\u064f \u0641\u0643\u064f\u0646 \u0644\u0650\u0648\u064e\u0642\u062a\u0643\u064e \u064a\u0627 \u0645\u0650\u0633\u0643\u064a\u0646\u064f \u0645\u064f\u063a\u062a\u064e\u0646\u0650\u0645\u0627", |
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"target": 27 |
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}, |
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{ |
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"text": "\u0648\u0642\u062f \u0623\u0628\u0631\u0632\u064e \u0627\u0644\u0631\u0651\u064f\u0645\u0651\u064e\u0627\u0646\u064f \u0644\u0644\u0637\u0631\u0641\u0650 \u063a\u064f\u0635\u0652\u0646\u064e\u0647\u064f \u0646\u0647\u0648\u062f\u0627\u064b \u062a\u064f\u0635\u0627\u0646\u064f \u0627\u0644\u0644\u0645\u0633\u064e \u0639\u0646 \u0643\u0641\u0651\u0650 \u0623\u062d\u0645\u0642\u0650", |
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"target": 23 |
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} |
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] |
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``` |
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### Dataset Fields |
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The dataset has the following fields (also called "features"): |
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```json |
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{ |
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"text": "Value(dtype='string', id=None)", |
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"target": "ClassLabel(num_classes=35, names=['\u0621', '\u0624', '\u0627', '\u0628', '\u062a', '\u062b', '\u062c', '\u062d', '\u062e', '\u062f', '\u0630', '\u0631', '\u0632', '\u0633', '\u0634', '\u0635', '\u0636', '\u0637', '\u0637\u0646', '\u0638', '\u0639', '\u063a', '\u0641', '\u0642', '\u0643', '\u0644', '\u0644\u0627', '\u0645', '\u0646', '\u0647', '\u0647\u0640', '\u0647\u0646', '\u0648', '\u0649', '\u064a'], id=None)" |
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} |
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``` |
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### Dataset Splits |
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This dataset is split into a train and validation split. The split sizes are as follow: |
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| Split name | Num samples | |
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| ------------ | ------------------- | |
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| train | 1347718 | |
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| valid | 336950 | |
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