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License Status Domain Country Exam

jee-rankers-survey

The first open, crowd-sourced dataset mapping real JEE preparation trends — built directly from students who have been through it.


Overview

Field Details
Domain Indian Competitive Examinations
Exam JEE Mains & JEE Advanced
Collection Method Anonymous Google Forms survey
Respondents JEE qualifiers — all ranks, all attempts
Questions 49 across 8 sections
Identifiers None — fully anonymous
License CC BY-NC 4.0
Status 🟡 Data collection in progress
Maintainer madhurmishra

Why This Dataset Exists

Every JEE aspirant prepares in an information vacuum. Coaching centres have agendas. Online content is optimized for views. No clean, unbiased, open dataset exists that maps what JEE preparation actually looks like in numbers.

This dataset is an attempt to fix that — collecting authentic data directly from students who have appeared in JEE Mains and/or Advanced, across all rank ranges, categories, cities, and attempt types.


Dataset Structure

Section 1 — Profile & Results

Column Type Description
air_advanced categorical AIR range in JEE Advanced
air_mains categorical AIR range in JEE Mains
year categorical Year of attempt
category categorical Reservation category
gender categorical Gender
city_type categorical Type of city prepared from
institute categorical Institute joined after JEE
attempt_number categorical Which attempt
attempt_type categorical Genuine or dummy
drop_year_worth categorical Drop year experience
olympiad categorical Olympiad participation

Section 2 — Coaching & Mode of Preparation

Column Type Description
prep_mode categorical Primary mode of preparation
coaching_contribution categorical Coaching vs self-study impact
offline_coaching categorical Offline institute(s) attended
online_platforms categorical Online platforms used
test_series categorical Test series used

Section 3 — Class 11, Syllabus & School

Column Type Description
school_board categorical School board
class11_prep categorical Class 11 preparation quality
syllabus_completion categorical Month of syllabus completion
boards_seriousness categorical Board exam priority
school_attendance categorical School attendance level
strongest_subject categorical Strongest subject
weakest_subject categorical Weakest subject
target_strategy categorical Subject-wise target strategy

Section 4 — Resources & Study Strategy

Column Type Description
books categorical Books that helped
pyq_usage categorical PYQ usage style
ncert_revisions categorical NCERT Chemistry revision count
chapter_priority categorical Chapter prioritization
note_making categorical Note-making style
error_log categorical Error log maintenance
revision_strategy categorical Revision strategy
doubt_resolution categorical Doubt resolution method

Section 5 — Mock Test Trends

Column Type Description
first_mock_score categorical First mock score range
final_mock_avg categorical Final 3 months average
peak_mock_score categorical Peak mock score
actual_vs_mock categorical Actual JEE vs mock average
total_mocks categorical Total mocks solved
advanced_prep categorical Advanced vs Mains prep

Section 6 — Daily Volume & Discipline

Column Type Description
daily_hours categorical Daily self-study hours
routine_consistency categorical Routine consistency
sleep_hours categorical Average sleep hours
study_schedule categorical Early bird or night owl
peer_group categorical Peer group quality

Section 7 — Exam Day & Strategy

Column Type Description
negative_marking categorical Negative marking strategy
subject_attempt categorical Subject attempt strategy
time_pressure categorical Time pressure felt
exam_day_lessons text Exam day lessons (optional)

Section 8 — One Honest Thing

Column Type Description
class11_advice text What they wish they knew in Class 11
hidden_insights text Non-obvious prep insights

Intended Use

  • Academic research on Indian competitive exam preparation
  • EdTech product development and aspirant guidance
  • Data journalism covering JEE trends
  • Open analysis by students, educators, and researchers

Out of Scope

  • Commercial resale or packaging of this dataset
  • Any use that attempts to re-identify respondents

Citation

@dataset{madhurmishra2025jee,
  title     = {jee-rankers-survey},
  author    = {Mishra, Madhur},
  year      = {2025},
  publisher = {HuggingFace},
  url       = {https://huggingface.co/datasets/madhurmishra/jee-rankers-survey},
  license   = {CC BY-NC 4.0}
}

License

CC BY-NC 4.0 — Free for research and education. Commercial use prohibited.

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