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      "content": "The Arabic Poem Classification Challenge dataset consists of a collection of Arabic poems with the following columns:\n\n1. Title: This column contains the title of each poem. The title provides a brief description or name for the poem, often reflecting its theme or subject matter.\n\n2. Author: The author column indicates the name of the poet who wrote the respective poem. It provides attribution to the creative minds behind the poetic works.\n\n3. Era: The era column represents the historical period to which each poem belongs. It classifies the poems based on the specific era in which they were written, providing insights into the cultural, social, and literary context of that time.\n\n4. Poem: This column contains the actual text of the poem. It includes the verses, stanzas, or lines that make up the poetic composition. The poem column serves as the main focus of analysis and classification in this challenge.\n\nThe dataset aims to offer a diverse selection of Arabic poems from different historical periods, allowing participants to explore and analyze the poetry of various eras. The objective of the challenge is to develop classification models that accurately categorize the poems based on their era, showcasing the ability to understand and identify the distinctive features and characteristics associated with each time period.\n\nBy working with this dataset, participants can gain a deeper appreciation for the evolution of Arabic poetry throughout different eras and delve into the unique artistic expressions that have shaped the Arabic literary heritage over time.",
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      "name": "Description",
      "content": "The Arabic Poem Classification Challenge, hosted by KAUST Academy Society, invites participants to showcase their expertise in Arabic NLP and contribute to the enrichment of the Arabic language. This competition provides an entry-level introduction to Arabic NLP and focuses on accurately classifying Arabic poems.\n\nParticipants will have access to a diverse dataset of Arabic poems and must develop a robust classification model that accurately categorizes each poem based on its distinct characteristics. NLP techniques such as text preprocessing, feature extraction, and machine learning algorithms can be employed to train the models.\n\nBy participating in this challenge, you can enhance your skills in Arabic NLP and contribute to the field's advancement. The top performers will be recognized for their achievements.\n\nJoin us in the Arabic Poem Classification Challenge, created by KAUST Academy Society, and embark on a journey of exploration, innovation, and the enrichment of the Arabic language.",
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      "name": "Evaluation",
      "content": "Participants should ensure that their notebook includes all necessary code for data preprocessing, model development, and evaluation. It should also contain clear explanations and comments to guide the reader through the code and methodology.\n\nPlease make sure to make the title of your notebook under your name.\n\nThe submissions for the Arabic Poem Classification Challenge will be evaluated based on the accuracy of the classification predictions. Accuracy is a common evaluation metric for classification tasks and measures the proportion of correctly classified poems in the test set.\n\nTo calculate accuracy, the number of correctly classified poems will be divided by the total number of poems in the test set. The higher the accuracy, the better the performance of the classification model.\n\n---\n## Submission File\nSubmission Files:\n\nParticipants are required to submit the following files for their challenge entry:\n\nNotebook: Participants should submit their Jupyter notebook or any other relevant notebook format containing the code used to develop the classification model. The notebook should be well-documented and organized, making it easy to understand and reproduce the results.\n\nSubmission File: Participants are required to generate a submission file utilizing the provided test data. This file must include two columns, specifically named \"ID\" and \"Category\".\n\n```python\nID,Category\n1,العصر الإسلامي\n1,العصر العباسي\n3,العصر حديث\n4,العصر الأندلسي\netc.\n```",
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      "name": "rules",
      "content": "Competition Rules:\n\n1. Eligibility: The Arabic Poem Classification Challenge is open to participants of all backgrounds and expertise levels in Arabic NLP.\n\n2. Dataset Usage: Participants are allowed to use the provided dataset for training and development purposes. External datasets are not permitted.\n\n3. Model Development: Participants are encouraged to use NLP techniques such as text preprocessing, feature extraction, and machine learning algorithms to develop their classification models.\n\n4. Submission: Participants must submit their predictions for the test set within the specified timeframe. Only one submission per participant is allowed.\n\n5. Evaluation: Submissions will be evaluated based on accuracy. The evaluation metric will be used to determine the top performers.\n\n6. Plagiarism: Plagiarism or the use of unauthorized code or solutions is strictly prohibited. All submissions must be original work.\n\n7. Collaboration: Collaborative efforts among participants are not allowed. Each participant must work individually on their solution.\n\n8. Results and Prizes: The top performers will be announced and recognized for their achievements. Prizes may be awarded based on the competition's guidelines.\n\n9. Disqualification: Violation of the competition rules may result in disqualification from the challenge.\n\nBy participating in the Arabic Poem Classification Challenge, participants agree to comply with the competition rules and guidelines. KAUST Academy reserves the right to make changes to the rules or disqualify participants for any violation or misconduct.",
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    {
      "name": "abstract",
      "content": "Welcome to the Arabic Poem Classification Challenge, hosted by KAUST Academy Society! This competition, brought to you by KAUST Academy Society, provides an exciting opportunity for participants to explore the realm of Arabic Natural Language Processing (NLP) and contribute to the enrichment of the Arabic language. It offers an entry-level introduction to Arabic NLP while focusing on the captivating task of classifying Arabic poems accurately. So, get ready to challenge yourself, test your abilities, and embark on a journey of discovery and growth.![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12645857%2Fbe2938b0664263c13086dda269a58abb%2Fistockphoto-481253439-612x612.jpg?generation=1708873618725956&alt=media)",
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