HINT-lab/DeepSeek-R1-Distill-Qwen-1.5B-Self-Calibration download history

HINT-lab/DeepSeek-R1-Distill-Qwen-1.5B-Self-Calibration is a question answering dataset on the Hugging Face Hub. In the last 30 days it was downloaded 178 times (40 in the last 7 days), and 4,070 times in total. It ranks #73,911 among datasets by monthly downloads.

This dataset contains data for the paper Efficient Test-Time Scaling via Self-Calibration. We propose an efficient test-time scaling method by using model confidence for dynamically sampling adjustment, since confidence can be seen as an intrinsic measure that directly reflects model uncertainty on

Models trained on DeepSeek-R1-Distill-Qwen-1.5B-Self-Calibration

2 models list it as training data.

Open HINT-lab/DeepSeek-R1-Distill-Qwen-1.5B-Self-Calibration on Hugging Face