bryanchrist/EDUMATH_annotations
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How to use bryanchrist/EDUMATH_classifier with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="bryanchrist/EDUMATH_classifier") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("bryanchrist/EDUMATH_classifier")
model = AutoModelForSequenceClassification.from_pretrained("bryanchrist/EDUMATH_classifier")Text classifier for whether a generated math word problem does not meet all criteria as introduced in EDUMATH: Generating Standards-aligned Educational Math Word Problems. A label of 0 means the math word problem meets all criteria, and a label of 1 means it does not meet all critiera. See our project repo for usage and our paper for training details/metrics.
@misc{christ2026edumathgeneratingstandardsalignededucational,
title={EDUMATH: Generating Standards-aligned Educational Math Word Problems},
author={Bryan R. Christ and Penelope Molitz and Beau LeBlond and Zachary Gottesman and Jonathan Kropko and Thomas Hartvigsen},
year={2026},
eprint={2510.06965},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2510.06965},
}
Base model
answerdotai/ModernBERT-large