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Description
This dataset comprises a diverse collection of logical reasoning questions,the data covers various question types such as graphic reasoning questions, IQ test questions, thinking logic reasoning questions, graphic visual questions, knowledge encyclopedia image reasoning, detective reasoning type questions.Each question includes the problem statement, answer, and detailed explanation, with chain-of-thought (CoT) reasoning to enhance large language models' logical reasoning capabilities.
For more details, please refer to the link: https://www.nexdata.ai/datasets/llm/1724?source=Huggingface
Specifications
Date Size
100,000 test questions, each with an annotated document
Question Types
pattern reasoning, IQ test questions, logical reasoning, visual puzzles, knowledge-based image reasoning, etc
Diversity
multiple question types and categories
Data Format
images in .jpg, .jpeg, or .png; annotations in .json.
Language
Chinese
Annotation Content
question transcription, answer, and analysis
Licensing Information
Commercial License
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