knowledge-distillation/openthoughts3_math
OpenThoughts3 Math This dataset contains the math-only, complete-solution subset used for supervised fine-tuning in LLM-Fusion experiments. It was derived from open-thoughts/OpenThoughts3-1.2M. Dataset summary 103,760 training rows 32,193 unique math questions Up to four solutions per question, selected deterministically with seed 20260910 All rows have domain = "math" and source = "ai2-adapt-dev/openmath-2-math" Solutions are retained only when the assistant… See the full description on the dataset page: https://huggingface.co/datasets/knowledge-distillation/openthoughts3_math.
OpenThoughts3 Math
This dataset contains the math-only, complete-solution subset used for supervised fine-tuning in LLM-Fusion experiments. It was derived from open-thoughts/OpenThoughts3-1.2M.
Dataset summary
- 103,760 training rows
- 32,193 unique math questions
- Up to four solutions per question, selected deterministically with seed
20260910 - All rows have
domain = "math"andsource = "ai2-adapt-dev/openmath-2-math" - Solutions are retained only when the assistant output contains a closing
</think>tag and a\boxed{...}answer after it - Maximum rendered sequence length: 32,768 tokens with the Qwen3-4B-Instruct-2507 tokenizer
The completeness filter favors questions whose generated solutions finish within the original generation limit, so this subset should not be treated as an unbiased sample of the source dataset's difficulty distribution.
Schema
Construction statistics
The builder scanned 1,200,000 source rows. It excluded 350,000 non-math rows, incomplete generations, generations without a boxed final answer, and extra solutions above the four-per-question cap.