datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
llm-medical-reasoning-steps-benchmark
LLM Medical Reasoning Steps Benchmark
This dataset contains 1,170 medical reasoning benchmark questions with final answers, reference reasoning steps, and reference key points.
Dataset Files
data/all.jsonl: all 1,170 examples.
data/mcq.jsonl: 592 multiple-choice examples.
data/oeq.jsonl: 578 open-ended examples.
No model prediction outputs are included in this release.
Schema
Each JSONL row has the following fields:
{
"id": "mcq_0001",
"task_type":… See the full description on the dataset page: https://huggingface.co/datasets/medreason/llm-medical-reasoning-steps-benchmark.step_reasoning_dataset
Step Reasoning Dataset
Structured Reasoning Decomposition for Language Models
Overview
The Step Reasoning Dataset is a synthetic dataset designed for training language models to decompose complex questions into structured reasoning plans.
Instead of directly generating final answers, the dataset focuses on:
Breaking problems into reasoning steps
Identifying dependencies between steps
Generating structured JSON decompositions
Distinguishing factual, logical… See the full description on the dataset page: https://huggingface.co/datasets/Alindstroem89/step_reasoning_dataset.