namkoong-lab/TwentyQuestions
收藏Hugging Face2025-04-16 更新2025-04-26 收录
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https://hf-mirror.com/datasets/namkoong-lab/TwentyQuestions
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资源简介:
Twenty Questions数据集是一个包含846个对象和每个对象对应的1000个自然语言形式的问题和答案的游戏数据集。该数据集用于研究和评估适应性提问和不确定性量化策略,适用于机器学习模型在减少不确定性的自适应问题提问方面的性能基准测试。
The Twenty Questions dataset is a game dataset containing 846 objects and 1000 natural language questions and answers for each object. It is used for research and evaluation of adaptive questioning and uncertainty quantification strategies, and is suitable for benchmarking the performance of machine learning models in terms of adaptive question asking for reducing uncertainty.
提供机构:
namkoong-lab



