Datasets:

psychometric-fyi
/

career-intelligence-benchmarks

id int64 1 20	student_profile stringlengths 9 15	assessment_type stringclasses 8 values	personality_trait_score int64 72 90	cognitive_ability_score int64 68 94	interest_alignment_score int64 76 94	motivation_clarity_score int64 70 90	strength_discovery_score int64 74 92	career_readiness_score int64 70 86	overall_career_intelligence int64 73 87	priority_action stringclasses 3 values	stem_score int64 71 99	creative_score int64 72 90	business_score int64 78 90	social_score int64 79 95	grade_level stringclasses 3 values	notes stringlengths 20 36
1	Anika Sharma	personality	85	80	88	76	90	82	84	Motivation Clarity	84	76	88	86	Grade 12	Strong analytical personality
2	Rahul Mehta	cognitive	78	88	82	74	80	76	80	Motivation Clarity	92	78	82	81	Grade 11	High cognitive reasoning ability
3	Priya Nair	interest	80	76	92	78	84	80	82	Cognitive Ability	80	88	88	92	Grade 12	Creative and social interest profile
4	Arjun Patel	dmit	88	85	84	80	92	85	86	Interest Alignment	89	84	84	89	Grade 10	Strong multiple intelligence profile
5	Sneha Reddy	motivation	76	72	80	88	78	74	78	Cognitive Ability	76	75	84	83	Grade 12	High intrinsic motivation score
6	Vikram Singh	aptitude	90	92	86	80	88	86	87	Motivation Clarity	97	82	86	87	Grade 12	Exceptional cognitive aptitude
7	Meena Iyer	emotional	72	68	78	74	76	70	73	Cognitive Ability	71	76	78	82	Grade 11	High emotional intelligence
8	Kiran Kumar	values	80	76	84	78	82	80	80	Cognitive Ability	80	80	88	86	Grade 12	Strong values alignment
9	Deepa Rao	personality	85	82	90	76	88	84	84	Motivation Clarity	86	86	88	90	Grade 12	Extroverted leadership profile
10	Suresh Pillai	cognitive	74	90	78	70	76	74	77	Motivation Clarity	95	74	78	79	Grade 11	Top cognitive scores
11	Ananya Krishnan	interest	78	74	94	80	82	78	81	Cognitive Ability	78	90	90	95	Grade 12	Arts and social career interest
12	Rohit Verma	dmit	86	84	80	78	90	84	84	Interest Alignment	88	82	80	84	Grade 10	Fingerprint intelligence analysis
13	Kavya Menon	motivation	72	70	76	90	74	72	76	Cognitive Ability	74	72	80	80	Grade 12	Motivation driven profile
14	Aditya Joshi	aptitude	88	94	84	78	86	84	86	Motivation Clarity	99	80	84	87	Grade 12	Mathematics aptitude strength
15	Riya Desai	emotional	76	72	82	76	80	74	77	Cognitive Ability	76	79	84	86	Grade 11	Strong empathy quotient
16	Sanjay Nambiar	values	82	78	86	80	84	80	82	Cognitive Ability	82	83	88	88	Grade 12	Purpose-driven career values
17	Pooja Sharma	personality	88	84	86	78	90	86	85	Motivation Clarity	88	83	86	88	Grade 12	Conscientious personality profile
18	Nikhil Raj	cognitive	76	92	80	72	78	74	79	Motivation Clarity	97	76	80	80	Grade 11	Strong logical reasoning
19	Swati Pillai	interest	80	76	92	80	84	80	82	Cognitive Ability	80	88	90	93	Grade 12	STEAM interest alignment
20	Manoj Kumar	dmit	84	82	82	78	88	82	83	Motivation Clarity	86	80	82	85	Grade 10	Balanced intelligence profile

Psychometric Career Intelligence Benchmarks

Benchmark dataset of 20 student psychometric assessment cases with individual scores for personality trait, cognitive ability, interest alignment, motivation clarity, strength discovery, and career readiness.

Built by Psychometric.fyi.

Dataset Description

This dataset contains benchmark data for an educational resource exploring the science of psychometric assessments and career decision making — helping students discover their strengths and make informed academic and career decisions.

Columns

Column	Type	Description
id	integer	Case ID
student_profile	string	Student profile name
assessment_type	string	Type of psychometric assessment
personality_trait_score	integer	Personality trait score (0-100)
cognitive_ability_score	integer	Cognitive ability score (0-100)
interest_alignment_score	integer	Interest alignment score (0-100)
motivation_clarity_score	integer	Motivation clarity score (0-100)
strength_discovery_score	integer	Strength discovery score (0-100)
career_readiness_score	integer	Career readiness score (0-100)
overall_career_intelligence	integer	Overall career intelligence score (0-100)
priority_action	string	Lowest scoring signal to act on first
stem_score	integer	STEM & Technology pathway score
creative_score	integer	Creative & Design pathway score
business_score	integer	Business & Leadership pathway score
social_score	integer	Social & Education pathway score
grade_level	string	Student grade level
notes	string	Case notes

Score Interpretation

Score	Status	Action
0-30	Critical	Immediate assessment and guidance required
31-60	At Risk	Active career counselling needed
61-80	Healthy	On track with targeted development
81-100	Excellent	Strong career intelligence — ready to act

Usage

import pandas as pd
df = pd.read_csv("psychometric_benchmarks.csv")
print(df.head())

Citation

Psychometric.fyi. (2026). Psychometric Career Intelligence. Zenodo. https://doi.org/10.5281/zenodo.21710607

Links

Platform	URL
Website	https://psychometric.fyi
GitHub	https://github.com/Psychometric-fyi/Psychometric-career-intelligence
NPM	https://npmjs.com/package/@psychometric-fyi/career-intelligence
PyPI	https://pypi.org/project/psychometric-career-intelligence
Zenodo	https://doi.org/10.5281/zenodo.21710607
SlideShare	https://www.slideshare.net/slideshow/psychometric-fyi-research-backed-psychometric-assessments-for-student-career-academic-guidance/288900331
Quora	https://www.quora.com/profile/Psychometric-Fyi
Pinterest	https://www.pinterest.com/psychometricfyi/
Medium	https://medium.com/@psychometric-fyi

License

MIT — Psychometric.fyi

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