datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gsm8k-SynthLabs-reasoning
GSM8K-SynthLabs
This dataset is a refined version of the GSM8K dataset, enriched with complex reasoning traces in the style of Pleias/SYNTH. It is designed for fine-tuning large language models to improve their reasoning capabilities using a structured, step-by-step thinking process.
Key Features
SYNTH Reasoning: Each problem contains a detailed reasoning trace generated by DeepSeek-V3.2, following the structured format (e.g., Query Parsing, Decomposition… See the full description on the dataset page: https://huggingface.co/datasets/mkurman/gsm8k-SynthLabs-reasoning.synthlabs-openmed-questions-qwen3-235b-a22b-2507
Med Synth Questions (Qwen3-235B questions + DeepSeek V4 Flash and Minimax M2.7 answers)
Synthetic reasoning traces for medical questions from openmed-community/med-synth-questions-qwen3-235b-a22b-2507. Each record contains a medical question with SYNTH-style reasoning and a generated answer.
Dataset Summary
55,915 records (255 dupes + 3,523 incomplete/truncated removed from 59,693 source)
55,915 reasoning turns (99.9% format compliance)
Average 1,881 chars per… See the full description on the dataset page: https://huggingface.co/datasets/mkurman/synthlabs-openmed-questions-qwen3-235b-a22b-2507.synthlabs-GLM-5.2-Science
GLM-5.2 Science Synth Reasoning
Synthetic reasoning traces for science questions from the GLM-5.2 science dataset. Each record contains a complex scientific question with SYNTH-style reasoning and a generated answer.
Dataset Summary
33,014 records (605 dupes + 726 incomplete/truncated removed from 34,345 source)
33,014 reasoning turns (99.9% format compliance)
Average 3,094 chars per reasoning trace
Models Used
Model
Records… See the full description on the dataset page: https://huggingface.co/datasets/mkurman/synthlabs-GLM-5.2-Science.