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Description
208 math problems were used to compare the reasoning performance of two AI models, DeepSeek-V3.2-Exp and DeepSeek-R1-0528. The dataset, authored by Jackrong and last updated in September 2025, contains a report analyzed by GPT-5-Extended-Thinking, focusing on structured derivations versus implicit reasoning.
Use Cases
Benchmarking AI model reasoning performance based on the comparison of two specific models.
Analyzing the impact of structured chain-of-thought reasoning based on the described methodological difference.
Studying model behavior on mixed math problem types based on the sample of 208 problems.
Strengths
Focuses on a specific, timely comparison between two named AI models.
Report analysis was performed by a named, advanced AI system (GPT-5-Extended-Thinking).
Provides a concrete sample size of 208 problems for the comparison.
Limitations
The author notes the sample size is small and conclusions are for reference only.
Column-level documentation is absent; field semantics must be inferred after download.
Row count and data format are unknown, which may limit suitability assessment.
Provenance
Source
huggingface
Collection Method
Likely contains performance metrics and analysis from a model comparison exercise.
Time Range
Report generated circa September 2025.
Freshness
Last updated 2025-09-30 07:13:29
Geography
null
License is unknown; terms of use must be verified before application.