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  "fetched_at": "2026-10-18T13:43:43Z",
  "source_url": "https://www.kaggle.com/competitions/fit5215-2024-inclas-competition/data",
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      "name": "data-description",
      "content": "The training and validation datasets are available through this competition data link, and you can download them directly without the need for cumbersome unzipping.\nDataset description is accessible via https://chalearnlap.cvc.uab.es/dataset/24/description/. \n\n***Note: The test data for this competition differs from the original. Please ensure you only use the training and validation data provided for training your model. We will review your code and training data after the competition.***\n",
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      "name": "Evaluation",
      "content": "## Submission File\nFor each ID (in test_index_mapping.csv) in the test set, you must predict its values. The file (e.g., csv) should contain a header and have the following format:\n\nID,extraversion,neuroticism,openness,conscientiousness,agreeableness\n1,0.5,0.5,0.5,0.5,0.5\n2,0.5,0.5,0.5,0.5,0.5\n3,0.5,0.5,0.5,0.5,0.5\n4,0.5,0.5,0.5,0.5,0.5\n5,0.5,0.5,0.5,0.5,0.5\n...\n2999,0.5,0.5,0.5,0.5,0.5\n3000,0.5,0.5,0.5,0.5,0.5",
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      "name": "rules",
      "content": "***Key Rules:***\n\n***Bonus Points:***\nThe initial bonus score is set at 10 points.\nIf no models are submitted in a given week, the bonus score increases by 1 point.\nThis increment continues for up to 8 weeks, with a maximum bonus score of 18 points.\nThe final bonus points will be awarded to the top 3 participants/teams at the end of the competition.\nThe top 3 participants/teams with the lowest average MAE (Mean Absolute Error) in the top 3 will receive a bonus.\nPerformance Benchmark: The top 3 results must exceed the performance of this paper https://arxiv.org/pdf/1609.05119.\nIf you are participating as a team, your bonus points will be divided equally among team members.\n**Note: The top 3 participants need to submit their complete code and training data for verification.**\n\n\n***Competition Timeline:***\nStart Date: July 1, 2024\nEnd Date: August 31, 2024\nThe competition runs for a total of 2 months.\n\n\n***Model Flexibility:***\nParticipants are free to use any model, including Large Language Models (LLMs).\nCreativity and innovation in model design and implementation are encouraged.\n\nGood luck, and may the best models win!\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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    {
      "name": "abstract",
      "content": "Welcome to the FIT5215 model competition! This challenge focuses on developing models for Big Five personality analysis and recognition (regression task). Participants are required to submit their models for evaluation, with a chance to earn bonus points based on your performance.\n\n1. Your task is to predict the following traits based on the provided features: extraversion, neuroticism, agreeableness, conscientiousness, and openness. This is a regression task where you will predict continuous values for each trait.\n2. The top 3 participants/teams with the lowest average MAE (Mean Absolute Error) in the top 3 will receive a bonus.\n3. Performance Benchmark: The top 3 results must exceed the performance of this paper https://arxiv.org/pdf/1609.05119.\n4. The bonus pool starts at 10 points. If no one submits a model in any given week, the bonus will increase by 1 point. The bonus pool accumulates, with a maximum of 8 weeks, resulting in a maximum of 18 points.\n5. The competition will last for 2 months, starting on July 1st and ending on August 31st.\n6. If you are participating as a team, your bonus points will be divided equally among team members.\n7. Any model can be used, including LLMs (Large Language Models).\n8. Your team name must include your student ID or Name to facilitate marking.\n**Note: The top 3 participants/teams need to submit their complete code and training data for verification.**\n\n\n**Dataset:**\nThe training and validation datasets are available through this competition data link, and you can download them directly without the need for cumbersome unzipping.\nDataset description is accessible via https://chalearnlap.cvc.uab.es/dataset/24/description/. \n***Note: Although this competition's test data is different from the dataset link, please only use the training and validation data for training your model.  We will check your code and training data after the competition.***\n\n**Competition Timeline:**\nStart Date: July 1, 2024\nEnd Date: August 31, 2024\nThe competition runs for a total of 2 months.\n\n**References:**\nhttps://arxiv.org/pdf/1609.05119\nhttps://github.com/yagguc/deep_impression\nhttps://chalearnlap.cvc.uab.es/dataset/24/description/\nhttps://chalearnlap.cvc.uab.es/\nhttps://gesture.chalearn.org/2016-looking-at-people-eccv-workshop-challenge\n\nWe hope you enjoy this competition. Have fun!",
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