Datasets:
Formats:
csv
Size:
< 1K
Tags:
dmit
dermatoglyphics
multiple-intelligence
fingerprint-analysis
brainprint
cognitive-profiling
License:
metadata
license: mit
tags:
- dmit
- dermatoglyphics
- multiple-intelligence
- fingerprint-analysis
- brainprint
- cognitive-profiling
- learning-style
- career-guidance
- dmit-fyi
- merit-teacher
pretty_name: DMIT BrainPrint Analytics Benchmarks
size_categories:
- n<1K
DMIT BrainPrint Analytics Benchmarks
Benchmark dataset of 20 DMIT assessment cases with individual scores for BrainPrint, cognitive profile, learning style, personality insight, career pathway, and leadership & workplace signals.
Guided by Mrs. Priyanka Swain, Founder of Merit Teacher. Built by DMIT.fyi.
Dataset Description
This dataset contains benchmark data for an intelligent assessment platform supporting fingerprint analysis, cognitive profiling, learning preferences, personality insights, and career guidance through Dermatoglyphics Multiple Intelligence Testing.
Columns
| Column | Type | Description |
|---|---|---|
| id | integer | Case ID |
| profile | string | Individual profile name |
| assessment_type | string | Type of DMIT assessment |
| brain_print_score | integer | BrainPrint fingerprint score (0-100) |
| cognitive_profile_score | integer | Cognitive profile score (0-100) |
| learning_style_score | integer | Learning style score (0-100) |
| personality_insight_score | integer | Personality insight score (0-100) |
| career_pathway_score | integer | Career pathway score (0-100) |
| leadership_workplace_score | integer | Leadership and workplace score (0-100) |
| overall_brainprint_index | integer | Overall BrainPrint index (0-100) |
| priority_action | string | Lowest scoring signal to act on first |
| logical_math_score | integer | Logical-Mathematical intelligence score |
| linguistic_score | integer | Linguistic intelligence score |
| spatial_visual_score | integer | Spatial-Visual intelligence score |
| interpersonal_score | integer | Interpersonal intelligence score |
| age_group | string | Age group or grade level |
| notes | string | Assessment notes |
Score Interpretation
| Score | Status | Action |
|---|---|---|
| 0-30 | Critical | Immediate DMIT assessment required |
| 31-60 | At Risk | Active guidance and profiling needed |
| 61-80 | Healthy | On track with targeted development |
| 81-100 | Excellent | Strong brainprint — leverage strengths |
Usage
import pandas as pd
df = pd.read_csv("dmit_benchmarks.csv")
print(df.head())
Citation
DMIT.fyi — Merit Teacher. (2026). DMIT BrainPrint Analytics. Zenodo. https://doi.org/10.5281/zenodo.21721771
Links
License
MIT — DMIT.fyi — Guided by Mrs. Priyanka Swain, Founder of Merit Teacher