kick_starter_funding
收藏OpenML2025-02-20 更新2025-12-20 收录
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资源简介：
Predict whether a proposed Kickstarter project will achieve funding goal based on text features
like its title, description, numeric features like the amount of money requested, date posted, and
categorical features like the country, currency, etc. This dataset represents a complex task where
models must consider interactions between modalities to address a core question of Kickstarter's
business: https://www.kaggle.com/codename007/funding-successful-projects
We applied the next preprocessing for uploading to OpenML to properly quoted ARFF format:
dataset = dataset.map(lambda x: f'"{x}"' if isinstance(x, str) else x)
Dataset found from the paper: Benchmarking multimodal automl for tabular data with text fields. arXiv preprint arXiv:2111.02705.
创建时间：
2025-02-20
