Datasets:

StanfordSCALE
/

assertions_llm_annotated_talkmoves

file_name string	model string	speaker string	turn float64	utterance_index int64	text string	split_addresses_another_teacher string	assertion_addresses_the_whole_class int64	split_addresses_the_whole_class string	split_agrees_with_one_or_more_students_answer string	assertion_asks_a_non_mathematical_question int64	split_asks_a_non_mathematical_question string	assertion_asks_a_question_to_the_whole_class int64	split_asks_a_question_to_the_whole_class string	split_asks_one_or_more_students_for_a_connection_between_two_mathematical_representations string	split_asks_one_or_more_students_for_an_evaluation_of_a_prior_student_contribution string	split_asks_one_or_more_students_for_an_explanation string	split_asks_one_or_more_students_for_an_explanation_of_how_a_method_works string	split_asks_one_or_more_students_for_clarification string	split_asks_one_or_more_students_for_the_definition_of_a_math_term string	split_asks_one_or_more_students_for_the_meaning_of_a_mathematical_symbol string	split_asks_one_or_more_students_for_the_next_step_in_a_procedure string	split_asks_one_or_more_students_for_the_purpose_of_a_mathematical_step string	split_asks_one_or_more_students_for_the_reasoning_behind_a_prior_student_contribution string	split_asks_one_or_more_students_for_the_result_of_a_math_computation string	split_asks_one_or_more_students_for_their_reasoning string	split_asks_one_or_more_students_whether_they_agree string	split_asks_one_or_more_students_whether_they_agree_with_a_prior_student_contribution string	split_asks_one_or_more_students_whether_they_are_finished_with_a_task string	split_asks_one_or_more_students_whether_they_are_sure_about_an_answer string	split_asks_one_or_more_students_whether_they_heard_a_prior_contribution string	split_asks_one_or_more_students_whether_they_understand_something string	split_asks_students_whether_they_got_a_different_answer_than_a_prior_contribution string	split_contains_a_counting_sequence string	assertion_contains_a_greeting int64	split_contains_a_greeting string	split_contains_a_hypothetical_scenario string	split_contains_a_number string	assertion_contains_a_personal_stance int64	split_contains_a_personal_stance string	assertion_contains_a_politeness_marker int64	split_contains_a_politeness_marker string	assertion_contains_a_question int64	split_contains_a_question string	split_contains_a_real_world_reference_pertaining_to_a_topic_outside_of_the_classroom_setting string	assertion_contains_a_rhetorical_question int64	split_contains_a_rhetorical_question string	assertion_contains_a_student_s_name int64	split_contains_a_student_s_name string	assertion_contains_a_time_marker int64	split_contains_a_time_marker string	assertion_contains_a_yes_no_question int64	split_contains_a_yes_no_question string	split_contains_affirmation string	split_contains_agreement string	split_contains_an_acknowledgement string	split_contains_an_apology string	split_contains_an_explanation_of_a_mathematical_concept string	assertion_contains_an_instruction int64	split_contains_an_instruction string	split_contains_clarification string	assertion_contains_collaborative_language int64	split_contains_collaborative_language string	assertion_contains_comparison_terms int64	split_contains_comparison_terms string	split_contains_emotion string	split_contains_encouragement string	split_contains_fraction_terms string	split_contains_gratitude string	assertion_contains_humor int64	split_contains_humor string	assertion_contains_informal_language int64	split_contains_informal_language string	split_contains_math_computation string	assertion_contains_math_terms int64	split_contains_math_terms string	split_contains_measurement_terms string	assertion_contains_negation int64	split_contains_negation string	split_contains_praise string	split_contains_self_correction string	split_contains_the_answer_to_a_question string	split_contains_the_final_answer_to_a_math_problem string	split_corrects_a_prior_student_contribution string	split_disagrees_with_a_prior_contribution string	assertion_evaluates_a_student_response int64	split_evaluates_a_student_response string	split_grants_permission string	assertion_invites_a_student_to_speak_next int64	split_invites_a_student_to_speak_next string	split_invites_an_addition_to_a_prior_student_contribution string	assertion_invites_participation int64	split_invites_participation string	split_invites_reading_aloud string	split_invites_student_thinking string	split_invites_writing_on_the_board string	split_invites_writing_on_their_own_paper string	assertion_is_a_declarative_statement int64	split_is_a_declarative_statement string	split_is_a_one_word_agreement string	split_is_a_single_word string	split_is_a_verbatim_repetition_of_a_prior_student_contribution string	split_is_an_evaluative_statement string	assertion_is_off_topic int64	split_is_off_topic string	split_is_unintelligible_in_context string	assertion_is_very_short int64	split_is_very_short string	assertion_manages_classroom_behavior int64	split_manages_classroom_behavior string	assertion_narrates_steps_being_taken_by_the_speaker int64	split_narrates_steps_being_taken_by_the_speaker string	split_paraphrases_a_prior_student_contribution string	split_proposes_a_problem_solving_strategy string	split_reads_a_text_aloud string	assertion_references_a_prior_lesson int64	split_references_a_prior_lesson string	split_references_a_procedure_for_completing_the_current_task string	split_references_an_activity_from_earlier_in_the_session string	assertion_references_classroom_materials int64	split_references_classroom_materials string	assertion_references_logistics int64	split_references_logistics string	assertion_references_student_behavior int64	split_references_student_behavior string	assertion_references_student_work int64	split_references_student_work string	split_repeats_a_number_from_a_prior_student_contribution string	split_repeats_a_phrase_from_a_prior_student_contribution_without_adding_new_words string	split_repeats_a_prior_student_contribution_and_adds_new_words string	split_repeats_a_problem string	split_repeats_a_single_word_from_a_prior_student_contribution string	split_repeats_a_student_answer string	assertion_repeats_prior_speech int64	split_repeats_prior_speech string	assertion_responds_to_a_student_contribution int64	split_responds_to_a_student_contribution string	assertion_states_that_the_speaker_is_uncertain int64	split_states_that_the_speaker_is_uncertain string	split_states_the_goals_of_the_lesson string	assertion_summarizes_a_portion_of_the_current_lesson int64	split_summarizes_a_portion_of_the_current_lesson string	split_transitions_from_one_in_class_activity_to_another string	split_translates_a_prior_student_contribution_into_another_language string
Boats and Fish 1_Grade 4.xlsx	claude_opus_5	t	1	0	Good morning	test	1	test	dev	0	test	0	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	1	test	test	test	0	test	1	test	0	test	test	0	train	0	test	1	test	0	test	test	test	test	test	test	0	test	test	0	test	0	test	test	test	test	test	0	test	1	test	test	0	dev	test	0	test	test	test	test	dev	test	test	0	test	test	0	test	test	0	dev	test	test	test	dev	0	test	test	test	test	test	1	test	test	1	test	0	test	0	test	test	test	dev	0	test	dev	test	0	test	0	test	0	test	0	test	test	test	test	test	test	test	0	test	0	dev	0	test	test	0	test	test	test
Boats and Fish 1_Grade 4.xlsx	stanford_gpt_5_6_luna	t	1	0	Good morning	test	1	test	dev	0	test	0	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	1	test	test	test	0	test	1	test	0	test	test	0	train	0	test	1	test	0	test	test	test	test	test	test	0	test	test	0	test	0	test	test	test	test	test	0	test	0	test	test	0	dev	test	0	test	test	test	test	dev	test	test	0	test	test	0	test	test	0	dev	test	test	test	dev	0	test	test	test	test	test	0	test	test	1	test	0	test	0	test	test	test	dev	0	test	dev	test	0	test	0	test	0	test	0	test	test	test	test	test	test	test	0	test	0	dev	0	test	test	0	test	test	test
Boats and Fish 1_Grade 4.xlsx	claude_opus_5	t	1	1	Are you all as awake as I am	dev	1	dev	test	1	dev	1	dev	dev	dev	dev	dev	dev	dev	dev	dev	dev	dev	dev	train	dev	dev	dev	train	train	dev	dev	dev	0	train	dev	dev	0	dev	0	dev	1	dev	dev	0	test	0	dev	0	dev	1	dev	dev	dev	train	dev	dev	0	dev	dev	0	dev	1	train	dev	train	dev	train	1	train	1	train	dev	0	test	train	0	dev	dev	dev	train	test	train	dev	0	dev	dev	1	dev	dev	1	test	train	dev	train	test	0	dev	dev	dev	train	dev	1	dev	dev	0	dev	0	dev	0	train	dev	dev	test	0	dev	test	train	0	dev	0	dev	1	dev	0	train	train	dev	dev	train	train	train	0	train	0	test	0	dev	dev	0	dev	train	dev
Boats and Fish 1_Grade 4.xlsx	stanford_gpt_5_6_luna	t	1	1	Are you all as awake as I am	dev	1	dev	test	1	dev	1	dev	dev	dev	dev	dev	dev	dev	dev	dev	dev	dev	dev	train	dev	dev	dev	train	train	dev	dev	dev	0	train	dev	dev	0	dev	0	dev	1	dev	dev	0	test	0	dev	0	dev	1	dev	dev	dev	train	dev	dev	0	dev	dev	0	dev	0	train	dev	train	dev	train	1	train	1	train	dev	0	test	train	0	dev	dev	dev	train	test	train	dev	0	dev	dev	1	dev	dev	1	test	train	dev	train	test	0	dev	dev	dev	train	dev	0	dev	dev	0	dev	0	dev	0	train	dev	dev	test	0	dev	test	train	0	dev	0	dev	1	dev	0	train	train	dev	dev	train	train	train	0	train	0	test	0	dev	dev	0	dev	train	dev
Boats and Fish 1_Grade 4.xlsx	claude_opus_5	t	3	3	I dont know if that is good or bad Meredith	train	0	train	train	0	train	0	train	train	train	train	train	train	train	train	train	train	train	train	dev	train	train	train	dev	dev	train	train	train	0	dev	train	train	1	train	0	train	0	train	train	0	dev	1	train	0	train	0	train	train	train	train	train	train	0	train	train	0	train	0	dev	train	dev	train	train	1	train	1	train	train	0	train	dev	1	train	train	train	dev	train	dev	train	0	train	train	0	train	train	0	train	dev	train	dev	train	1	dev	train	train	dev	train	1	train	train	0	train	0	dev	0	dev	train	train	train	0	train	train	dev	0	train	0	train	0	train	0	dev	dev	train	train	dev	dev	dev	0	train	1	test	1	train	train	0	train	dev	train
Boats and Fish 1_Grade 4.xlsx	stanford_gpt_5_6_luna	t	3	3	I dont know if that is good or bad Meredith	train	0	train	train	0	train	0	train	train	train	train	train	train	train	train	train	train	train	train	dev	train	train	train	dev	dev	train	train	train	0	dev	train	train	1	train	0	train	0	train	train	0	dev	1	train	0	train	0	train	train	train	train	train	train	0	train	train	0	train	0	dev	train	dev	train	train	1	train	1	train	train	0	train	dev	1	train	train	train	dev	train	dev	train	1	train	train	0	train	train	0	train	dev	train	dev	train	1	dev	train	train	dev	train	1	train	train	0	train	0	dev	0	dev	train	train	train	0	train	train	dev	0	train	0	train	0	train	0	dev	dev	train	train	dev	dev	dev	0	train	1	test	1	train	train	0	train	dev	train
Boats and Fish 1_Grade 4.xlsx	claude_opus_5	t	3	4	Let me shut this off	test	1	train	train	0	test	0	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	train	0	test	test	train	0	test	0	test	0	test	test	0	train	0	test	0	test	0	test	train	test	dev	test	test	0	train	test	0	test	0	test	test	test	test	test	0	test	1	test	test	0	train	test	0	test	test	test	test	train	test	test	0	train	test	0	train	test	0	train	test	test	test	test	0	train	test	test	test	test	1	test	test	1	test	0	train	1	test	test	test	train	0	test	train	test	0	test	1	test	0	train	0	test	test	test	test	test	test	test	0	test	0	train	0	test	test	0	test	test	test
Boats and Fish 1_Grade 4.xlsx	stanford_gpt_5_6_luna	t	3	4	Let me shut this off	test	0	train	train	0	test	0	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	train	0	test	test	train	0	test	0	test	0	test	test	0	train	0	test	0	test	0	test	train	test	dev	test	test	0	train	test	0	test	0	test	test	test	test	test	0	test	0	test	test	0	train	test	0	test	test	test	test	train	test	test	0	train	test	0	train	test	0	train	test	test	test	test	0	train	test	test	test	test	1	test	test	1	test	0	train	1	test	test	test	train	0	test	train	test	0	test	1	test	0	train	0	test	test	test	test	test	test	test	0	test	0	train	0	test	test	0	test	test	test
Boats and Fish 1_Grade 4.xlsx	claude_opus_5	t	3	5	I was thinking when I was looking at Marks model and I noticed many of you made models also for projects for another class	train	1	test	test	0	train	0	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	test	0	train	train	test	0	train	0	train	0	train	train	0	test	1	train	0	train	0	train	test	train	train	train	train	0	test	train	0	train	0	train	train	train	train	dev	0	dev	0	dev	train	0	test	train	0	train	train	train	test	test	train	train	0	train	train	0	test	train	0	test	train	train	train	train	1	test	train	train	train	train	0	train	train	0	train	0	train	0	train	train	train	test	0	train	test	train	1	train	0	train	1	train	1	train	train	train	train	train	train	train	0	dev	0	test	0	train	train	0	train	train	train
Boats and Fish 1_Grade 4.xlsx	stanford_gpt_5_6_luna	t	3	5	I was thinking when I was looking at Marks model and I noticed many of you made models also for projects for another class	train	1	test	test	0	train	0	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	test	0	train	train	test	0	train	0	train	0	train	train	0	test	1	train	1	train	0	train	test	train	train	train	train	0	test	train	0	train	0	train	train	train	train	dev	0	dev	0	dev	train	1	test	train	0	train	train	train	test	test	train	train	0	train	train	0	test	train	0	test	train	train	train	train	1	test	train	train	train	train	0	train	train	0	train	0	train	1	train	train	train	test	0	train	test	train	1	train	0	train	0	train	1	train	train	train	train	train	train	train	0	dev	0	test	0	train	train	0	train	train	train
Boats and Fish 1_Grade 4.xlsx	claude_opus_5	t	3	6	I was thinking about this model because we were talking about models the other day werent we	train	1	train	test	0	train	1	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	0	train	train	train	0	train	0	train	1	train	train	1	train	0	train	1	train	1	train	train	train	test	train	train	0	train	train	1	train	0	train	train	train	train	train	0	train	0	train	train	0	train	train	0	train	train	train	train	train	train	train	0	test	train	0	test	train	1	train	train	train	train	train	1	train	train	train	train	train	0	train	train	0	train	0	test	0	train	train	train	train	1	train	train	train	0	train	0	train	0	test	0	train	train	test	train	train	test	train	0	train	0	train	0	train	train	0	train	train	train
Boats and Fish 1_Grade 4.xlsx	stanford_gpt_5_6_luna	t	3	6	I was thinking about this model because we were talking about models the other day werent we	train	1	train	test	0	train	0	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	0	train	train	train	0	train	0	train	1	train	train	1	train	0	train	1	train	1	train	train	train	test	train	train	0	train	train	1	train	0	train	train	train	train	train	0	train	1	train	train	1	train	train	1	train	train	train	train	train	train	train	0	test	train	0	test	train	1	train	train	train	train	train	1	train	train	train	train	train	0	train	train	0	train	0	test	0	train	train	train	train	1	train	train	train	1	train	0	train	0	test	1	train	train	test	train	train	test	train	1	train	0	train	0	train	train	1	train	train	train
Boats and Fish 1_Grade 4.xlsx	claude_opus_5	t	3	7	Remember that	train	1	test	train	0	test	1	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	train	train	0	test	test	train	0	test	0	test	1	test	test	1	train	0	test	0	test	1	test	train	train	train	test	test	0	train	test	0	test	0	test	test	test	test	test	0	test	0	test	test	0	train	train	0	test	test	test	train	test	test	test	0	train	test	0	train	test	1	train	test	test	test	test	0	test	train	test	test	test	0	test	train	1	test	0	train	0	test	test	test	train	1	test	train	test	0	test	0	test	0	train	0	test	test	train	test	test	train	test	0	train	0	train	0	test	test	0	test	test	test
Boats and Fish 1_Grade 4.xlsx	stanford_gpt_5_6_luna	t	3	7	Remember that	train	1	test	train	0	test	1	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	test	train	train	0	test	test	train	0	test	0	test	0	test	test	0	train	0	test	0	test	1	test	train	train	train	test	test	1	train	test	0	test	0	test	test	test	test	test	0	test	0	test	test	0	train	train	0	test	test	test	train	test	test	test	0	train	test	1	train	test	1	train	test	test	test	test	0	test	train	test	test	test	0	test	train	1	test	1	train	0	test	test	test	train	1	test	train	test	0	test	0	test	0	train	0	test	test	train	test	test	train	test	0	train	0	train	0	test	test	0	test	test	test
Boats and Fish 1_Grade 4.xlsx	claude_opus_5	t	3	8	But also we were talking about models in general	test	1	train	train	0	train	0	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	test	test	0	train	train	test	0	train	0	train	0	train	train	0	test	0	train	0	train	0	train	test	dev	test	train	train	0	test	train	1	train	0	train	train	train	train	train	0	train	0	train	train	0	test	test	0	train	train	train	train	train	train	train	0	train	train	0	test	train	0	train	train	train	train	train	1	train	test	train	train	train	0	train	test	0	train	0	train	0	train	train	train	test	1	train	test	train	0	train	0	dev	0	test	0	train	train	test	train	train	train	train	0	dev	0	train	0	train	train	0	train	train	train
Boats and Fish 1_Grade 4.xlsx	stanford_gpt_5_6_luna	t	3	8	But also we were talking about models in general	test	1	train	train	0	train	0	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	train	test	test	0	train	train	test	0	train	0	train	0	train	train	0	test	0	train	0	train	0	train	test	dev	test	train	train	0	test	train	1	train	0	train	train	train	train	train	0	train	0	train	train	1	test	test	0	train	train	train	train	train	train	train	0	train	train	0	test	train	0	train	train	train	train	train	1	train	test	train	train	train	0	train	test	0	train	0	train	0	train	train	train	test	1	train	test	train	0	train	0	dev	0	test	0	train	train	test	train	train	train	train	0	dev	0	train	0	train	train	1	train	train	train

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EduBehaviors 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
`model`	Which model produced this row's labels
`speaker`	Speaker role
`turn`	Turn number in the TalkMoves transcript
`utterance_index`	Position of the utterance within the transcript
`text`	Utterance
`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. Splits are grouped by utterance, so an utterance and all of its annotations land in one split, but a transcript can span splits.

Assertions

Assertion	Column slug	Base rate	Krippendorff's alpha	train / dev / test
addresses the whole class	`addresses_the_whole_class`	58.1%	0.713	13,184 / 3,294 / 8,237
agrees with one or more students answer	`agrees_with_one_or_more_students_answer`	7.1%	0.745	13,185 / 3,291 / 8,239
asks a question to the whole class	`asks_a_question_to_the_whole_class`	11.6%	0.807	13,182 / 3,294 / 8,239
asks one or more students for an explanation	`asks_one_or_more_students_for_an_explanation`	4.1%	0.756	13,181 / 3,296 / 8,238
asks one or more students for clarification	`asks_one_or_more_students_for_clarification`	3.8%	0.548	13,180 / 3,296 / 8,239
asks one or more students for their reasoning	`asks_one_or_more_students_for_their_reasoning`	3.6%	0.713	13,180 / 3,296 / 8,239
asks one or more students whether they agree	`asks_one_or_more_students_whether_they_agree`	1.6%	0.705	13,185 / 3,294 / 8,236
asks one or more students whether they are sure about an answer	`asks_one_or_more_students_whether_they_are_sure_about_an_answer`	0.7%	0.613	13,179 / 3,297 / 8,239
asks one or more students whether they understand something	`asks_one_or_more_students_whether_they_understand_something`	1.2%	0.632	13,180 / 3,296 / 8,239
contains a counting sequence	`contains_a_counting_sequence`	1.2%	0.786	13,182 / 3,296 / 8,237
contains a greeting	`contains_a_greeting`	0.4%	0.841	13,179 / 3,297 / 8,239
contains a hypothetical scenario	`contains_a_hypothetical_scenario`	4.0%	0.623	13,179 / 3,295 / 8,241
contains a number	`contains_a_number`	27.4%	0.904	13,181 / 3,296 / 8,238
contains a personal stance	`contains_a_personal_stance`	8.1%	0.719	13,182 / 3,294 / 8,239
contains a politeness marker	`contains_a_politeness_marker`	3.5%	0.846	13,180 / 3,297 / 8,238
contains a question	`contains_a_question`	23.3%	0.879	13,180 / 3,296 / 8,239
contains a real world reference pertaining to a topic outside of the classroom setting	`contains_a_real_world_reference_pertaining_to_a_topic_outside_of_the_classroom_setting`	5.3%	0.845	13,180 / 3,297 / 8,238
contains a rhetorical question	`contains_a_rhetorical_question`	6.7%	0.543	13,181 / 3,297 / 8,237
contains a student s name	`contains_a_student_s_name`	8.7%	0.957	13,179 / 3,297 / 8,239
contains a time marker	`contains_a_time_marker`	7.5%	0.642	13,178 / 3,299 / 8,238
contains affirmation	`contains_affirmation`	8.9%	0.684	13,183 / 3,294 / 8,238
contains agreement	`contains_agreement`	7.7%	0.657	13,180 / 3,297 / 8,238
contains an acknowledgement	`contains_an_acknowledgement`	13.5%	0.700	13,184 / 3,295 / 8,236
contains an apology	`contains_an_apology`	0.4%	0.874	13,183 / 3,294 / 8,238
contains an explanation of a mathematical concept	`contains_an_explanation_of_a_mathematical_concept`	12.5%	0.732	13,182 / 3,296 / 8,237
contains an instruction	`contains_an_instruction`	20.0%	0.752	13,182 / 3,296 / 8,237
contains clarification	`contains_clarification`	21.9%	0.508	13,182 / 3,294 / 8,239
contains collaborative language	`contains_collaborative_language`	17.1%	0.670	13,181 / 3,296 / 8,238
contains comparison terms	`contains_comparison_terms`	7.1%	0.659	13,184 / 3,293 / 8,238
contains emotion	`contains_emotion`	4.9%	0.676	13,179 / 3,297 / 8,239
contains encouragement	`contains_encouragement`	3.8%	0.462	13,183 / 3,295 / 8,237
contains fraction terms	`contains_fraction_terms`	6.2%	0.912	13,181 / 3,296 / 8,238
contains gratitude	`contains_gratitude`	1.8%	0.654	13,179 / 3,295 / 8,241
contains humor	`contains_humor`	1.7%	0.674	13,181 / 3,296 / 8,238
contains informal language	`contains_informal_language`	25.1%	0.452	13,181 / 3,296 / 8,238
contains math computation	`contains_math_computation`	3.7%	0.564	13,184 / 3,295 / 8,236
contains math terms	`contains_math_terms`	41.1%	0.835	13,179 / 3,298 / 8,238
contains measurement terms	`contains_measurement_terms`	7.1%	0.683	13,179 / 3,297 / 8,239
contains negation	`contains_negation`	8.8%	0.903	13,182 / 3,296 / 8,237
contains praise	`contains_praise`	3.8%	0.786	13,181 / 3,296 / 8,238
contains self correction	`contains_self_correction`	2.3%	0.570	13,179 / 3,296 / 8,240
contains the answer to a question	`contains_the_answer_to_a_question`	10.5%	0.636	13,185 / 3,293 / 8,237
contains the final answer to a math problem	`contains_the_final_answer_to_a_math_problem`	4.5%	0.644	13,182 / 3,298 / 8,235
disagrees with a prior contribution	`disagrees_with_a_prior_contribution`	2.7%	0.675	13,179 / 3,297 / 8,239
evaluates a student response	`evaluates_a_student_response`	12.0%	0.701	13,178 / 3,297 / 8,240
grants permission	`grants_permission`	1.7%	0.739	13,182 / 3,296 / 8,237
invites participation	`invites_participation`	34.2%	0.755	13,182 / 3,294 / 8,239
invites student thinking	`invites_student_thinking`	20.2%	0.774	13,182 / 3,293 / 8,240
is a declarative statement	`is_a_declarative_statement`	43.8%	0.801	13,179 / 3,297 / 8,239
is a one word agreement	`is_a_one_word_agreement`	2.4%	0.674	13,183 / 3,294 / 8,238
is a single word	`is_a_single_word`	12.0%	0.940	13,180 / 3,298 / 8,237
is off topic	`is_off_topic`	1.5%	0.606	13,182 / 3,294 / 8,239
is unintelligible in context	`is_unintelligible_in_context`	3.3%	0.527	13,182 / 3,295 / 8,238
is very short	`is_very_short`	43.7%	0.634	13,182 / 3,294 / 8,239
manages classroom behavior	`manages_classroom_behavior`	11.0%	0.611	13,182 / 3,295 / 8,238
narrates steps being taken by the speaker	`narrates_steps_being_taken_by_the_speaker`	6.1%	0.499	13,182 / 3,295 / 8,238
proposes a problem solving strategy	`proposes_a_problem_solving_strategy`	11.4%	0.569	13,180 / 3,296 / 8,239
reads a text aloud	`reads_a_text_aloud`	1.6%	0.566	13,181 / 3,297 / 8,237
references a prior lesson	`references_a_prior_lesson`	1.0%	0.706	13,185 / 3,294 / 8,236
references a procedure for completing the current task	`references_a_procedure_for_completing_the_current_task`	21.9%	0.583	13,180 / 3,294 / 8,241
references an activity from earlier in the session	`references_an_activity_from_earlier_in_the_session`	2.9%	0.533	13,181 / 3,296 / 8,238
references classroom materials	`references_classroom_materials`	6.7%	0.703	13,180 / 3,294 / 8,241
references logistics	`references_logistics`	11.5%	0.729	13,180 / 3,294 / 8,241
references student behavior	`references_student_behavior`	16.1%	0.206	13,182 / 3,296 / 8,237
references student work	`references_student_work`	8.1%	0.665	13,183 / 3,294 / 8,238
repeats a problem	`repeats_a_problem`	4.2%	0.442	13,178 / 3,297 / 8,240
repeats a student answer	`repeats_a_student_answer`	5.1%	0.713	13,181 / 3,294 / 8,240
repeats prior speech	`repeats_prior_speech`	11.8%	0.628	13,183 / 3,293 / 8,239
responds to a student contribution	`responds_to_a_student_contribution`	26.6%	0.689	13,181 / 3,295 / 8,239
states that the speaker is uncertain	`states_that_the_speaker_is_uncertain`	2.4%	0.689	13,178 / 3,298 / 8,239
summarizes a portion of the current lesson	`summarizes_a_portion_of_the_current_lesson`	4.8%	0.419	13,183 / 3,296 / 8,236
transitions from one in class activity to another	`transitions_from_one_in_class_activity_to_another`	6.2%	0.644	13,180 / 3,298 / 8,237
the utterance addresses another teacher	`addresses_another_teacher`	0.6%	0.647	13,182 / 3,293 / 8,240
the utterance asks a non mathematical question	`asks_a_non_mathematical_question`	3.0%	0.744	13,183 / 3,293 / 8,239
the utterance asks one or more students for a connection between two mathematical representations	`asks_one_or_more_students_for_a_connection_between_two_mathematical_representations`	1.2%	0.377	13,179 / 3,295 / 8,241
the utterance asks one or more students for an evaluation of a prior student contribution	`asks_one_or_more_students_for_an_evaluation_of_a_prior_student_contribution`	1.4%	0.648	13,185 / 3,292 / 8,238
the utterance asks one or more students for an explanation of how a method works	`asks_one_or_more_students_for_an_explanation_of_how_a_method_works`	2.0%	0.728	13,180 / 3,294 / 8,241
the utterance asks one or more students for the definition of a math term	`asks_one_or_more_students_for_the_definition_of_a_math_term`	0.2%	0.576	13,184 / 3,295 / 8,236
the utterance asks one or more students for the meaning of a mathematical symbol	`asks_one_or_more_students_for_the_meaning_of_a_mathematical_symbol`	0.3%	0.650	13,180 / 3,297 / 8,238
the utterance asks one or more students for the next step in a procedure	`asks_one_or_more_students_for_the_next_step_in_a_procedure`	2.0%	0.607	13,182 / 3,294 / 8,239
the utterance asks one or more students for the purpose of a mathematical step	`asks_one_or_more_students_for_the_purpose_of_a_mathematical_step`	0.8%	0.732	13,181 / 3,295 / 8,239
the utterance asks one or more students for the reasoning behind a prior student contribution	`asks_one_or_more_students_for_the_reasoning_behind_a_prior_student_contribution`	1.4%	0.780	13,179 / 3,297 / 8,239
the utterance asks one or more students for the result of a math computation	`asks_one_or_more_students_for_the_result_of_a_math_computation`	3.2%	0.731	13,181 / 3,294 / 8,240
the utterance asks one or more students whether they agree with a prior student contribution	`asks_one_or_more_students_whether_they_agree_with_a_prior_student_contribution`	0.8%	0.667	13,180 / 3,297 / 8,238
the utterance asks one or more students whether they are finished with a task	`asks_one_or_more_students_whether_they_are_finished_with_a_task`	0.4%	0.481	13,182 / 3,293 / 8,240
the utterance asks one or more students whether they got a different answer than a prior student contribution	`asks_students_whether_they_got_a_different_answer_than_a_prior_contribution`	0.3%	0.373	13,182 / 3,295 / 8,238
the utterance asks one or more students whether they heard a prior contribution	`asks_one_or_more_students_whether_they_heard_a_prior_contribution`	0.1%	0.909	13,179 / 3,296 / 8,240
the utterance contains a yes no question	`contains_a_yes_no_question`	9.0%	0.852	13,181 / 3,295 / 8,239
the utterance corrects a prior student contribution	`corrects_a_prior_student_contribution`	2.0%	0.504	13,182 / 3,293 / 8,240
the utterance invites a student to speak next	`invites_a_student_to_speak_next`	23.1%	0.820	13,184 / 3,293 / 8,238
the utterance invites an addition to a prior student contribution	`invites_an_addition_to_a_prior_student_contribution`	3.6%	0.430	13,183 / 3,296 / 8,236
the utterance invites reading aloud	`invites_reading_aloud`	0.4%	0.839	13,182 / 3,295 / 8,238
the utterance invites writing on the board	`invites_writing_on_the_board`	0.4%	0.744	13,183 / 3,296 / 8,236
the utterance invites writing on their own paper	`invites_writing_on_their_own_paper`	2.5%	0.628	13,186 / 3,291 / 8,238
the utterance is a verbatim repetition of a prior student contribution	`is_a_verbatim_repetition_of_a_prior_student_contribution`	2.5%	0.541	13,180 / 3,294 / 8,241
the utterance is an evaluative statement	`is_an_evaluative_statement`	5.3%	0.678	13,183 / 3,295 / 8,237
the utterance paraphrases a prior student contribution	`paraphrases_a_prior_student_contribution`	2.2%	0.528	13,183 / 3,293 / 8,239
the utterance repeats a number from a prior student contribution	`repeats_a_number_from_a_prior_student_contribution`	0.7%	0.804	13,181 / 3,295 / 8,239
the utterance repeats a phrase from a prior student contribution without adding new words	`repeats_a_phrase_from_a_prior_student_contribution_without_adding_new_words`	3.3%	0.513	13,181 / 3,296 / 8,238
the utterance repeats a prior student contribution and adds new words	`repeats_a_prior_student_contribution_and_adds_new_words`	3.1%	0.559	13,183 / 3,294 / 8,238
the utterance repeats a single word from a prior student contribution	`repeats_a_single_word_from_a_prior_student_contribution`	3.7%	0.602	13,181 / 3,297 / 8,237
the utterance states the goals of the lesson	`states_the_goals_of_the_lesson`	1.7%	0.579	13,181 / 3,297 / 8,237
the utterance translates a prior student contribution into another language	`translates_a_prior_student_contribution_into_another_language`	0.7%	-0.007	13,184 / 3,295 / 8,236

Usage with `datasets` package

from datasets import load_dataset

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