Dataset,Table/File,Column Name,Data Type,Description,Verified Source
EEDI,questions.csv,QuestionId,int,Unique item identifier,NeurIPS 2020 challenge docs
EEDI,questions.csv,SubjectId,int,Topic/subject tag,NeurIPS 2020 challenge docs
EEDI,questions.csv,CorrectAnswer,int (1-4),Correct answer choice index,NeurIPS 2020 challenge docs
EEDI,questions.csv,QuestionText,str,Item stem text,NeurIPS 2020 challenge docs
EEDI,questions.csv,AnswerAText–AnswerDText,str,Text of each answer option,NeurIPS 2020 challenge docs
EEDI,answer_metadata.csv,UserId,int,Anonymized student ID,NeurIPS 2020 challenge docs
EEDI,answer_metadata.csv,QuestionId,int,Item answered,NeurIPS 2020 challenge docs
EEDI,answer_metadata.csv,AnswerValue,int,Student's selected answer,NeurIPS 2020 challenge docs
EEDI,answer_metadata.csv,IsCorrect,bool,Binary correctness flag,NeurIPS 2020 challenge docs
EEDI,answer_metadata.csv,DateAnswered,datetime,Timestamp,NeurIPS 2020 challenge docs
EEDI,student_metadata.csv,UserId,int,Student ID,NeurIPS 2020 challenge docs
EEDI,student_metadata.csv,Gender,int,Demographic grouping variable,NeurIPS 2020 challenge docs
EEDI,student_metadata.csv,PremiumPupil,bool,SES proxy,NeurIPS 2020 challenge docs
PISA 2022,CY08MSP_STU_COG.sav,CNTSTUID,int,Unique student ID (merge key),OECD PISA 2022 codebook
PISA 2022,CY08MSP_STU_COG.sav,CNT,str,Country ISO code,OECD PISA 2022 codebook
PISA 2022,CY08MSP_STU_COG.sav,BOOKID,int,Test booklet assigned (determines items seen),OECD PISA 2022 codebook
PISA 2022,CY08MSP_STU_COG.sav,CM033Q01S (example),int,"Item score: 0=incorrect, 1=partial, 2=correct, 7=not administered, 8=not reached, 9=missing",OECD PISA 2022 codebook
PISA 2022,CY08MSP_STU_COG.sav,~900 item columns total,int,One column per cognitive item across math/reading/science,OECD PISA 2022 codebook
PISA 2022,CY08MSP_STU_QQQ.sav,CNTSTUID,int,Student ID (merge key with COG file),OECD PISA 2022 codebook
PISA 2022,CY08MSP_STU_QQQ.sav,ST004D01T,int,"Gender (1=Female, 2=Male)",OECD PISA 2022 codebook
PISA 2022,CY08MSP_STU_QQQ.sav,ESCS,float,"Economic, Social, Cultural Status index (continuous SES)",OECD PISA 2022 codebook
PISA 2022,CY08MSP_STU_QQQ.sav,IMMIG,int,"Immigration status (1=native, 2=first gen, 3=second gen)",OECD PISA 2022 codebook
PISA 2022,CY08MSP_STU_QQQ.sav,LANGN,int,"Language at home (1=test language, 2=other)",OECD PISA 2022 codebook
PISA 2022,CY08MSP_STU_QQQ.sav,PV1MATH–PV10MATH,float,10 plausible values for math proficiency,OECD PISA 2022 codebook
PISA 2022,Released Items PDFs (separate),Item text + options,PDF,"Full question stem + answer options for ~30-50% of items. Linked by item ID (e.g., M033Q01).",OECD released items publications
TIMSS 2019,BSA*.sav (Student Achievement),IDCNTRY,int,Country code (merge key),IEA TIMSS 2019 User Guide
TIMSS 2019,BSA*.sav (Student Achievement),IDSTUD,int,Student ID (merge key),IEA TIMSS 2019 User Guide
TIMSS 2019,BSA*.sav (Student Achievement),IDBOOK,int,Booklet assignment,IEA TIMSS 2019 User Guide
TIMSS 2019,BSA*.sav (Student Achievement),M071001 (example),int,Item score: correct/incorrect/partial/not administered. One column per item.,IEA TIMSS 2019 User Guide
TIMSS 2019,BSG*.sav (Student Background),ITSEX,int,"Gender (1=Girl, 2=Boy)",IEA TIMSS 2019 User Guide
TIMSS 2019,BSG*.sav (Student Background),BSBG04,int,Books in the home (SES proxy),IEA TIMSS 2019 User Guide
TIMSS 2019,BSG*.sav (Student Background),BSDGLCNT,int,Language of test at home,IEA TIMSS 2019 User Guide
TIMSS 2019,Item Information Excel (in IDB),"ItemID, ContentDomain, CognitiveDomain, ItemType, MaxScore",mixed,Metadata for ALL items (even unreleased). No question text.,IEA TIMSS 2019 IDB
TIMSS 2019,Released Items PDFs (separate),Item text + options,PDF,Full text for ~30-50% of items. Item ID in PDF matches variable name.,IEA released items publications
NAEP,NAEP Data Explorer (public),Group-level statistics only,aggregates,"Mean scores, percentiles, p-values by subgroup. NO individual student records.",NCES NAEP documentation
NAEP,Restricted-Use Files (license required),Student × item responses (sparse BIB),int,Scored responses for ~25 items per student (out of ~300 total). 3-6 month application.,NCES Restricted Use Data Procedures
NAEP,Restricted-Use Files,"Race/Ethnicity, Gender, NSLP, ELL, IEP, State",categorical,Rich US demographics — but ONLY in restricted data,NCES NAEP documentation
ASSISTments 2012-2013,main CSV,student_id,int,Anonymous student identifier,ASSISTments data site + KDD 2014 challenge docs
ASSISTments 2012-2013,main CSV,problem_id,int,Problem identifier (no text),ASSISTments data site
ASSISTments 2012-2013,main CSV,skill_id,float,Skill/KC identifier,ASSISTments data site
ASSISTments 2012-2013,main CSV,skill_name,str,"Text name of skill (e.g., 'Box and Whisker')",ASSISTments data site
ASSISTments 2012-2013,main CSV,correct,int,Binary 0/1 correctness,ASSISTments data site
ASSISTments 2012-2013,main CSV,attempt_count,int,Number of attempts,ASSISTments data site
ASSISTments 2012-2013,main CSV,hint_count,int,Number of hints requested,ASSISTments data site
ASSISTments 2012-2013,main CSV,ms_first_response,int,Milliseconds for first response,ASSISTments data site
ASSISTments 2012-2013,main CSV,school_id,int,Anonymous school ID,ASSISTments data site
ASSISTments 2012-2013,main CSV,gender,str,M/F (may have missing values),ASSISTments data site + KDD challenge docs
ASSISTments 2012-2013,main CSV,economically_disadvantaged,bool,School-level FRPL proxy for SES,KDD challenge docs
ASSISTments 2012-2013,main CSV,ELL,bool,English Language Learner status,KDD challenge docs
ASSISTments 2012-2013,main CSV,IEP,bool,Individualized Education Program (disability),KDD challenge docs
FoundationalASSIST,Interactions.csv,user_xid,str,Anonymous student ID (NO demographics),HF README + arXiv:2602.00070
FoundationalASSIST,Interactions.csv,problem_id,int,Links to Problems.csv,HF README
FoundationalASSIST,Interactions.csv,discrete_score,int,0/1 (1 = correct on first try without hints),HF README
FoundationalASSIST,Interactions.csv,answer_text,str,Exact text of student's first answer,HF README
FoundationalASSIST,Interactions.csv,hint_count,int,Number of hints requested,HF README
FoundationalASSIST,Interactions.csv,saw_answer,bool,Whether student requested to see correct answer,HF README
FoundationalASSIST,Interactions.csv,end_time,datetime,When student submitted correct answer,HF README
FoundationalASSIST,Problems.csv,problem_id,int,Unique problem identifier,HF README
FoundationalASSIST,Problems.csv,Problem Body,str (HTML),Full problem text with HTML markup,HF README
FoundationalASSIST,Problems.csv,Problem Type,str,Type of problem,HF README
FoundationalASSIST,Problems.csv,Answer Type,str,Numeric/MC/DropDown/Algebraic/etc.,HF README
FoundationalASSIST,Problems.csv,Multiple Choice Options,str,MC answer options separated by ||,HF README
FoundationalASSIST,Problems.csv,Multiple Choice Answers,str,Correct MC option(s),HF README
FoundationalASSIST,Problems.csv,Fill-in Options / Answers,str,Fill-in correct answer(s),HF README
FoundationalASSIST,Skills.csv,"problem_id, skill_id, node_code, node_name",mixed,224 unique skills mapped to problems,HF README
EdNet,kt1 (HF: mgor/EDNet),timestamp,int64,Unix timestamp in ms,HF dataset viewer (verified)
EdNet,kt1,solving_id,int64,Sequential attempt number per student,HF dataset viewer (verified)
EdNet,kt1,question_id,str,"Question identifier (e.g., q3854)",HF dataset viewer (verified)
EdNet,kt1,user_answer,str,Selected option (a/b/c/d),HF dataset viewer (verified)
EdNet,kt1,elapsed_time,int64,Time spent in ms,HF dataset viewer (verified)
EdNet,kt1,subject_id,str,Subject/user identifier,HF dataset viewer (verified)
EdNet,kt1,correct_answer,str,Correct option (a/b/c/d),HF dataset viewer (verified)
EdNet,kt1,is_correct,bool,Binary correctness,HF dataset viewer (verified)
EdNet,questions (HF: mgor/EDNet),question_id,str,Question identifier,HF dataset viewer (verified)
EdNet,questions,bundle_id,str,Bundle/group identifier,HF dataset viewer (verified)
EdNet,questions,correct_answer,str,Correct option letter,HF dataset viewer (verified)
EdNet,questions,part,int64,TOEIC part (1-7),HF dataset viewer (verified)
EdNet,questions,tags,str,Skill tag IDs (semicolon-separated),HF dataset viewer (verified)
EdNet,questions,deployed_at,int64,Deployment timestamp,HF dataset viewer (verified)
EdNet,questions,❌ NO question_text column,—,TOEIC items are copyrighted; text not released,HF dataset viewer (verified) + arXiv:1912.03072
Junyi Academy,student_log (DataShop),Anon Student Id,str,Anonymous student ID,arXiv:1912.03072 + arXiv:2403.13179
Junyi Academy,student_log,Problem Name,str,Exercise ID (not text),PSLC DataShop format docs
Junyi Academy,student_log,KC (Default),str,Skill/topic tag,PSLC DataShop format docs
Junyi Academy,student_log,Outcome,str,CORRECT/INCORRECT/HINT,PSLC DataShop format docs
Junyi Academy,student_log,Time,datetime,Timestamp,PSLC DataShop format docs
Junyi Academy,exercise_info,"topic, area",str,"Skill tags (40 topics, 7 areas) in Traditional Chinese",arXiv:1912.03072
Junyi Academy,—,❌ NO gender/age/demographics columns,—,Confirmed absent in all papers,"arXiv:1912.03072, arXiv:2602.00070 Table 3, arXiv:2403.13179"
Junyi Academy,—,❌ NO question text,—,Only exercise IDs and skill tags,arXiv:2602.00070 Table 3
OULAD,studentAssessment,id_student,int,Student ID,Kuzilek et al. 2017 (Scientific Data)
OULAD,studentAssessment,id_assessment,int,Assessment ID,Kuzilek et al. 2017
OULAD,studentAssessment,score,float,Single score (0-100) per ENTIRE assessment — NOT per question,Kuzilek et al. 2017
OULAD,studentAssessment,date_submitted,int,Days from module start,Kuzilek et al. 2017
OULAD,studentInfo,gender,str,M/F,Kuzilek et al. 2017
OULAD,studentInfo,age_band,str,0-35 / 35-55 / 55<=,Kuzilek et al. 2017
OULAD,studentInfo,imd_band,str,Index of Multiple Deprivation (SES proxy),Kuzilek et al. 2017
OULAD,studentInfo,highest_education,str,Education level,Kuzilek et al. 2017
OULAD,studentInfo,disability,str,Y/N,Kuzilek et al. 2017
OULAD,studentInfo,region,str,UK region,Kuzilek et al. 2017
OULAD,—,❌ NO item-level responses,—,Only assessment-level aggregate scores. Cannot do item-level DIF.,Kuzilek et al. 2017
Duolingo SLAM,exercise data,user_id,str,Learner ID,Settles et al. 2018 (BEA Workshop)
Duolingo SLAM,exercise data,token,str,Word/token in exercise,Settles et al. 2018
Duolingo SLAM,exercise data,label,int,"0=correct, 1=error (per token)",Settles et al. 2018
Duolingo SLAM,exercise data,days,float,Days since learner started course,Settles et al. 2018
Duolingo SLAM,exercise data,client,str,Platform (web/ios/android),Settles et al. 2018
Duolingo SLAM,exercise data,session,str,Session type (lesson/practice/test),Settles et al. 2018
Duolingo SLAM,exercise data,format,str,"Exercise format (reverse_translate, etc.)",Settles et al. 2018
Duolingo SLAM,—,❌ NO gender/age/race/SES,—,"Only course metadata, not personal demographics",Settles et al. 2018