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