StanfordSCALE/assertions_llm_annotated_talkmoves

Bottom-Up Assertion Labels

This is a subset of the TalkMoves Dataset of K-12 mathematics lesson transcripts, created for EduBehaviors: Assertion-based schemas for auditable dialogue coding. This dataset contains teacher utterances labeled with assertions, distinct behaviors or attributes of utterances that may serve as features for the modeling of larger constructs. Labels in this dataset are LLM-generated, with models reported within the dataset itself. This dataset was used to train encoders for each assertion it describes, accessible through HuggingFace or the Python package EduBehaviors-kit.

Columns

Column	Meaning
file_name	Transcript the utterance came from
speaker	Speaker role
utterance_index	Position of the utterance within the transcript
text	Utterance
model	Which model produced this row's labels
assertion_<slug>	1 if the annotator judged the assertion to hold, else 0
split_<slug>	train, dev or test for that assertion

Each assertion was split into train/test/dev sets independently to retain similar base rates between classes. Use the split_... column for a particular assertion to determine which split an utterance is assigned to.

Assertions

Assertion	Column slug	Base rate	Krippendorff's alpha	train / dev / test
sentence has a question	sentence_has_a_question	19.0%	0.867	3,430 / 858 / 2,146
sentence has math terms	sentence_has_math_terms	46.8%	0.755	3,432 / 858 / 2,144
sentence has number	sentence_has_number	25.5%	0.755	3,430 / 858 / 2,146
sentence is a short utterance	sentence_is_a_short_utterance	33.2%	0.438	3,432 / 858 / 2,144
sentence answers a question	sentence_answers_a_question	6.2%	0.101	3,430 / 858 / 2,146
sentence has a directive or instruction	sentence_has_a_directive_or_instruction	19.0%	0.735	3,430 / 858 / 2,146
sentence has acknowledgment	sentence_has_acknowledgment	20.6%	0.709	3,432 / 858 / 2,144
sentence is a declarative statement or description	sentence_is_a_declarative_statement_or_description	39.3%	0.815	3,430 / 858 / 2,146
sentence is incomplete or trails off	sentence_is_incomplete_or_trails_off	6.1%	0.369	3,432 / 858 / 2,144
sentence has praise or encouragement	sentence_has_praise_or_encouragement	4.0%	0.604	3,432 / 858 / 2,144
sentence has explanation or reasoning	sentence_has_explanation_or_reasoning	10.7%	0.593	3,430 / 858 / 2,146
sentence manages classroom behavior or attention	sentence_manages_classroom_behavior_or_attention	9.9%	0.460	3,430 / 858 / 2,146
sentence has agreement or affirmation	sentence_has_agreement_or_affirmation	17.7%	0.586	3,430 / 858 / 2,146
sentence includes student name	sentence_includes_student_name	6.9%	0.930	3,432 / 858 / 2,144
sentence is partially or fully inaudible	sentence_is_partially_or_fully_inaudible	0.8%	0.568	3,432 / 858 / 2,144
sentence references classroom materials or visuals	sentence_references_classroom_materials_or_visuals	15.1%	0.686	3,432 / 858 / 2,144
sentence expresses emotion or humor	sentence_expresses_emotion_or_humor	2.8%	0.275	3,430 / 858 / 2,146
sentence repeats or revoices prior speech	sentence_repeats_or_revoices_prior_speech	10.8%	0.419	3,430 / 858 / 2,146
sentence references task procedure or logistics	sentence_references_task_procedure_or_logistics	34.5%	0.404	3,430 / 858 / 2,146
sentence calls on student by name	sentence_calls_on_student_by_name	5.4%	0.918	3,432 / 858 / 2,144
sentence expresses confusion or requests help	sentence_expresses_confusion_or_requests_help	1.0%	0.218	3,430 / 858 / 2,146
sentence has negation or denial	sentence_has_negation_or_denial	7.2%	0.902	3,430 / 858 / 2,146
sentence references student behavior or work	sentence_references_student_behavior_or_work	33.5%	0.382	3,430 / 860 / 2,144
sentence shows uncertainty	sentence_shows_uncertainty	1.9%	0.503	3,430 / 858 / 2,146
sentence has fraction terms	sentence_has_fraction_terms	9.9%	0.876	3,430 / 860 / 2,144
sentence has politeness marker	sentence_has_politeness_marker	2.1%	0.731	3,432 / 858 / 2,144
sentence narrates ongoing action	sentence_narrates_ongoing_action	3.1%	0.594	3,430 / 858 / 2,146
sentence has disagreement or challenge	sentence_has_disagreement_or_challenge	4.9%	0.166	3,430 / 858 / 2,146
sentence summarizes or reviews	sentence_summarizes_or_reviews	3.2%	0.229	3,434 / 856 / 2,144
sentence shows realization or insight	sentence_shows_realization_or_insight	3.1%	0.080	3,434 / 856 / 2,144
sentence references prior learning or lesson	sentence_references_prior_learning_or_lesson	3.4%	0.442	3,430 / 858 / 2,146
sentence checks for understanding or agreement	sentence_checks_for_understanding_or_agreement	9.5%	0.324	3,430 / 858 / 2,146
sentence expresses personal stance or thinking aloud	sentence_expresses_personal_stance_or_thinking_aloud	8.5%	0.447	3,428 / 860 / 2,146
sentence has apology	sentence_has_apology	0.4%	0.869	3,432 / 858 / 2,144
sentence poses a hypothetical or scenario	sentence_poses_a_hypothetical_or_scenario	3.4%	0.373	3,430 / 858 / 2,146
sentence grants or requests permission	sentence_grants_or_requests_permission	1.2%	0.500	3,430 / 858 / 2,146
sentence has time reference	sentence_has_time_reference	17.3%	0.603	3,432 / 856 / 2,146
sentence seeks or gives clarification	sentence_seeks_or_gives_clarification	16.7%	0.270	3,428 / 860 / 2,146
sentence invites participation	sentence_invites_participation	24.3%	0.610	3,430 / 860 / 2,144
sentence addresses the whole class	sentence_addresses_the_whole_class	64.4%	0.546	3,432 / 858 / 2,144
sentence quotes or reads text aloud	sentence_quotes_or_reads_text_aloud	3.4%	0.661	3,430 / 858 / 2,146
sentence has a rhetorical question	sentence_has_a_rhetorical_question	1.2%	0.180	3,432 / 858 / 2,144
sentence evaluates a student response	sentence_evaluates_a_student_response	6.5%	0.433	3,430 / 860 / 2,144
sentence has comparison terms	sentence_has_comparison_terms	6.2%	0.657	3,430 / 858 / 2,146
sentence has greeting	sentence_has_greeting	0.2%	0.306	3,432 / 858 / 2,144
sentence uses collaborative or inclusive language	sentence_uses_collaborative_or_inclusive_language	16.2%	0.559	3,430 / 858 / 2,146
sentence has counting sequence	sentence_has_counting_sequence	1.4%	0.757	3,432 / 858 / 2,144
sentence expresses certainty or emphasis	sentence_expresses_certainty_or_emphasis	9.5%	0.195	3,432 / 858 / 2,144
sentence has informal language	sentence_has_informal_language	29.3%	-0.120	3,432 / 858 / 2,144
sentence has answer to a math problem	sentence_has_answer_to_a_math_problem	4.7%	0.409	3,430 / 858 / 2,146
sentence has measurement terms	sentence_has_measurement_terms	8.7%	0.180	3,432 / 860 / 2,142

Usage with datasets package

from datasets import load_dataset

ds = load_dataset("StanfordSCALE/assertions_llm_annotated_talkmoves", split="train").to_pandas()
slug = "sentence_has_a_question"
test = ds[ds[f"split_{slug}"] == "test"]
test[f"assertion_{slug}"].mean()