orderlymirror/lo

Learning Outcome OS AI-Ready Expanded Dataset v2

Expanded synthetic, CBSE/NCERT LO-aligned, model-ready dataset for LO tagging, Bloom classification, mastery prediction, recommendation, risk prediction, subjective answer scoring, teacher feedback, and digital twin modelling.

All names are synthetic. No real PII is included. CSVs are pre-cleaned with stable IDs, target labels, and train/validation/test split columns.

Tables

schools.csv

• Rows: 3
• Columns: school_id, school_name, board, state, city, region_type, academic_year, is_synthetic

classes.csv

• Rows: 18
• Columns: class_id, school_id, grade, section, class_name, academic_year, class_teacher_id

subjects.csv

• Rows: 9
• Columns: subject_id, grade, subject, subject_code

chapters.csv

• Rows: 52
• Columns: chapter_id, grade, subject, chapter, chapter_order, lo_count, is_active

teachers.csv

• Rows: 54
• Columns: teacher_id, school_id, class_id, teacher_name, grade, section, subject, email, experience_years, ai_feedback_participation_rate

student_profiles.csv

• Rows: 540
• Columns: student_id, school_id, class_id, grade, section, roll_number, student_name, learning_style, learner_archetype, baseline_level, attendance_percentage, assignment_completion_rate, average_login_per_week, inactive_days_last_14, parent_contact_available, is_synthetic, train_split

learning_outcomes.csv

• Rows: 194
• Columns: lo_id, grade, subject, chapter, competency, title, description, difficulty, bloom_level, source_framework, source_pdf, source_pages, alignment_confidence, difficulty_score, bloom_score, embedding_text, is_active, train_split

lo_dependencies.csv

• Rows: 174
• Columns: lo_id, prerequisite_lo_id, relationship_type, strength

questions.csv

• Rows: 5,820
• Columns: question_id, lo_id, grade, subject, chapter, question_text, question_type, difficulty, difficulty_score, bloom_level, bloom_score, correct_answer, rubric, max_marks, source, source_lo_pdf, alignment_confidence, embedding_text, train_split

question_options.csv

• Rows: 7,760
• Columns: question_id, option_label, option_text, is_correct

content_catalog.csv

• Rows: 1,552
• Columns: content_id, lo_id, grade, subject, chapter, title, content_type, target_use, difficulty, duration_minutes, language, description, estimated_mastery_gain, embedding_text, is_active, train_split

assessments.csv

• Rows: 216
• Columns: assessment_id, school_id, class_id, grade, section, subject, assessment_name, assessment_type, scheduled_date, max_marks, question_count, academic_year, train_split

assessment_questions.csv

• Rows: 2,592
• Columns: assessment_id, question_id, question_order

student_attempts.csv

• Rows: 77,760
• Columns: attempt_id, assessment_id, school_id, class_id, student_id, question_id, lo_id, grade, section, subject, question_type, difficulty_score, bloom_score, is_correct, marks_obtained, max_marks, marks_ratio, time_taken_seconds, hint_used, attempt_number, submitted_at, train_split

initial_mastery_profiles.csv

• Rows: 34,920
• Columns: student_id, lo_id, grade, section, subject, chapter, train_split, attempt_count, accuracy, average_marks_ratio, average_time_seconds, hint_usage_rate, mastery_score, status, confidence, last_updated

mastery_profiles.csv

• Rows: 34,920
• Columns: student_id, lo_id, grade, section, subject, chapter, train_split, attempt_count, accuracy, average_marks_ratio, average_time_seconds, hint_usage_rate, mastery_score, status, confidence, last_updated

engagement_logs.csv

• Rows: 108,000
• Columns: engagement_id, student_id, school_id, class_id, activity_date, login_count, active_minutes, content_completed_count, quiz_attempt_count, recommendation_click_count, video_watch_ratio, discussion_posts, device_type, train_split

risk_profiles.csv

• Rows: 1,620
• Columns: risk_prediction_id, student_id, school_id, class_id, grade, section, subject, risk_score, risk_level, risk_label, primary_reasons, recommended_intervention, model_version, generated_at, confidence, train_split

recommendations.csv

• Rows: 8,100
• Columns: recommendation_id, student_id, school_id, class_id, lo_id, content_id, grade, section, subject, recommendation_type, priority, reason, ai_confidence, generated_at, shown_to_student, clicked, is_completed, observed_mastery_gain, model_version, train_split

teacher_interventions.csv

• Rows: 162
• Columns: intervention_id, school_id, class_id, teacher_id, grade, section, subject, lo_id, intervention_type, affected_students, avg_mastery_before, suggested_action, scheduled_week, status, expected_mastery_gain, generated_by_ai, train_split

subjective_answers.csv

• Rows: 12,000
• Columns: answer_id, attempt_id, student_id, question_id, lo_id, grade, subject, question_type, student_answer, model_answer, rubric, max_marks, teacher_marks, ai_predicted_marks, absolute_error, rubric_match_score, concept_coverage_score, feedback_text, teacher_review_required, train_split

teacher_feedback.csv

• Rows: 5,986
• Columns: feedback_id, teacher_id, student_id, related_entity_type, related_entity_id, feedback_type, teacher_rating, correction_required, correction_text, created_at, train_split

student_digital_twins.csv

• Rows: 540
• Columns: digital_twin_id, student_id, school_id, class_id, grade, section, overall_mastery_score, strongest_subject, weakest_subject, top_weak_lo_ids, learning_speed_score, consistency_score, preferred_content_type, current_risk_level, current_risk_score, recommended_next_action, last_updated, train_split

ai_prediction_logs.csv

• Rows: 16,620
• Columns: prediction_log_id, model_name, model_version, entity_type, entity_id, prediction_output, confidence, latency_ms, created_at, train_split

ml_features_student_subject.csv

• Rows: 1,620
• Columns: feature_row_id, student_id, school_id, class_id, grade, section, subject, avg_mastery_score, weak_lo_count, developing_lo_count, mastered_lo_count, avg_confidence, avg_accuracy, avg_marks_ratio, avg_time_seconds, hint_usage_rate, total_attempts, attendance_percentage, assignment_completion_rate, average_login_per_week, inactive_days_last_14, avg_active_minutes, total_logins, avg_video_watch_ratio, total_content_completed, total_quiz_attempts, risk_score, risk_level, risk_label, train_split

ml_features_student_lo.csv

• Rows: 34,920
• Columns: feature_row_id, student_id, lo_id, grade, section, subject, chapter, train_split, attempt_count, accuracy, average_marks_ratio, average_time_seconds, hint_usage_rate, mastery_score, status, confidence, last_updated, school_id, class_id, attendance_percentage, assignment_completion_rate, average_login_per_week, inactive_days_last_14, mastery_label

training_lo_tagging.csv

• Rows: 5,820
• Columns: question_id, question_text, embedding_text, lo_id, grade, subject, chapter, difficulty, difficulty_score, bloom_level, bloom_score, train_split

training_bloom_classification.csv

• Rows: 5,820
• Columns: question_id, question_text, embedding_text, bloom_level, bloom_score, grade, subject, question_type, train_split

training_risk_prediction.csv

• Rows: 1,620
• Columns: feature_row_id, student_id, school_id, class_id, grade, section, subject, avg_mastery_score, weak_lo_count, developing_lo_count, mastered_lo_count, avg_confidence, avg_accuracy, avg_marks_ratio, avg_time_seconds, hint_usage_rate, total_attempts, attendance_percentage, assignment_completion_rate, average_login_per_week, inactive_days_last_14, avg_active_minutes, total_logins, avg_video_watch_ratio, total_content_completed, total_quiz_attempts, risk_score, risk_level, risk_label, train_split

training_mastery_prediction.csv

• Rows: 34,920
• Columns: feature_row_id, student_id, lo_id, grade, section, subject, chapter, train_split, attempt_count, accuracy, average_marks_ratio, average_time_seconds, hint_usage_rate, mastery_score, status, confidence, last_updated, school_id, class_id, attendance_percentage, assignment_completion_rate, average_login_per_week, inactive_days_last_14, mastery_label

training_answer_scoring.csv

• Rows: 12,000
• Columns: answer_id, question_id, student_id, lo_id, grade, subject, question_type, student_answer, model_answer, rubric, max_marks, teacher_marks, ai_predicted_marks, rubric_match_score, concept_coverage_score, teacher_review_required, train_split

training_recommendation_outcomes.csv

• Rows: 8,100
• Columns: recommendation_id, student_id, lo_id, content_id, grade, subject, recommendation_type, priority, ai_confidence, clicked, is_completed, observed_mastery_gain, train_split