Datasetpublic

4gate/StemQAMixture

StemQAMixture Science QA dataset with four subjects: biology, chemistry, math, and physics. Usage from datasets import load_dataset # Load a specific subject ds = load_dataset("4gate/StemQAMixture", "math", split="train") # Load all subjects ds_bio = load_dataset("4gate/StemQAMixture", "biology") ds_chem = load_dataset("4gate/StemQAMixture", "chemistry") Schema question: The question text answer: The answer text reference_answer: Optional… See the full description on the dataset page: https://huggingface.co/datasets/4gate/StemQAMixture.

sourceHugging Faceupdated 9mo agoView on Hugging Face

0likes154downloads

Dataset Card

StemQAMixture

Science QA dataset with four subjects: biology, chemistry, math, and physics.

Usage

python

from datasets import load_dataset

# Load a specific subject
ds = load_dataset("4gate/StemQAMixture", "math", split="train")

# Load all subjects
ds_bio = load_dataset("4gate/StemQAMixture", "biology")
ds_chem = load_dataset("4gate/StemQAMixture", "chemistry")

Schema

—question: The question text
—answer: The answer text
—reference_answer: Optional reference answer
—answer_source: Source of the answer (e.g., "gpt-4", "megascience", "numina")
—reference_answer_source: Source of the reference answer
—dataset_source: Original dataset ("camel-ai", "megascience", "numina")
—subject: Subject area ("biology", "chemistry", "math", "physics")
—topic: Optional topic within subject
—subtopic: Optional subtopic
—metadata: Optional JSON metadata