StanfordSCALE/assertion_sentence_expresses_confusion_or_requests_help
037
Assertion: sentence expresses confusion or requests help
This classifier was trained for EduBehaviors: Assertion-based schemas for auditable dialogue coding and is usable through the Python package EduBehaviors-kit. This classifier was trained on an LLM-annotated subset of teacher utterances from the TalkMoves Dataset. See the Datasets section below for more information.
Training Details
Datasets
This model's columns are assertion_sentence_expresses_confusion_or_requests_help and split_sentence_expresses_confusion_or_requests_help.
Base rate (share of rows labeled as True): 1.0% overall — 0.9% train, 1.3% dev, 1.0% test.
Labels and annotation
Labels were generated with LLM annotators. Krippendorff's alpha for this assertion is 0.218.
Hyperparameters
Evaluation
Results
Limitations
- Labels come from LLM annotators, not human coders. Agreement with Krippendorff's Alpha is 0.218; this is poor.This model's predictions and the underlying data are unreliable.
- Trained on teacher utterances only. Behaviour on student speech is untested.
- Only 21 positive examples in the test split, so the test scores above carry a wide margin of error.
- Test F1 is 0.160. This model does not work well enough to be used on its own.
How to Use
Message Structure
The model was trained on text built as:
{utterance}The utterance is passed through as-is.
Running instructions
pip install setfitfrom setfit import SetFitModel
model = SetFitModel.from_pretrained("StanfordSCALE/assertion_sentence_expresses_confusion_or_requests_help")
text = 'Not sure why you guys are moving up here'
model.predict([text]) # -> array([1]) when the assertion holds
model.predict_proba([text]) # -> [[P(no), P(yes)]]Citation
@misc{assertion_sentence_expresses_confusion_or_requests_help,
author = {Stanford SCALE Initiative},
title = {Assertion classifier: sentence expresses confusion or requests help},
year = {2026},
url = {https://huggingface.co/StanfordSCALE/assertion_sentence_expresses_confusion_or_requests_help}
}