Update README.md

README.md

@@ -7,7 +7,7 @@ language:
 pipeline_tag: text-classification
 library_name: transformers
 ---
-# Model Card for Classroom Management Model
+# Model Card for Material Sanction Model
 
 ## Model Details
 - Developed by: Mei Tan, EduNLP Lab @ Stanford University Graduate School of Education
@@ -15,7 +15,7 @@ library_name: transformers
 - Paper: Tan, Mei, and Dorottya Demszky. (2025). Do As I Say: What Teachers’ Language Reveals About Classroom Management Practices. (EdWorkingPaper: 23-844). Retrieved from Annenberg Institute at Brown University: https://doi.org/10.26300/9yj6-jn52
 
 ## Model Description
-This model is a RoBERTa-base classifier fine-tuned to predict binary labels from teacher utterances in classroom transcripts. It was trained on 10354 annotated teacher utterances from elementary math classroom transcripts from the NCTE dataset [1]. It is intended for research on teachers' classroom discourse.
+This model is a RoBERTa-base classifier fine-tuned to predict binary labels from teacher utterances in classroom transcripts. It was trained on 5720 annotated teacher utterances from elementary math classroom transcripts from the NCTE dataset [1]. It is intended for research on teachers' classroom discourse.
 
 The model classifies whether a teacher utterance is an instance of material sanctioning language. Material sanctions are defined as a subset of behavior management involving consequences that are “more than telling.” These include manipulations of access to material goods or changes to bodily or social states.
 These include non-exclusionary consequences and exclusionary consequences (calling home and isolating in and outside of the classroom).