8Planetterraforming/planet-alphabet-mapping-1-26

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license: mit
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# Planet Alphabet Mapping Dataset (1–26)

## Overview
This dataset tests strict symbolic reasoning by mapping numbers (1–26) to alphabet letters (A–Z) with a 1:1 constraint.

Each entry must follow:
1 → A
2 → B
...
26 → Z

## Purpose
Designed to evaluate:
- ordering consistency
- logical mapping accuracy
- resistance to hallucination in generative models

## Key Challenge
Models must maintain:
- exact sequence
- no duplication
- no missing elements
- no extra outputs

## Error Analysis
The dataset includes real failure cases where models:
- break ordering
- misassign letters
- duplicate elements
- generate out-of-range values

## Use Case
- structured reasoning benchmarks
- Parameter Golf challenge
- prompt validation
- model evaluation

## Visual Examples

### ❌ Error Example 1 – Mixed Mapping and Layout Issues

This image shows incorrect number-letter mapping and inconsistent structure.
The sequence is not strictly aligned with the required 1–26 → A–Z logic.


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### ❌ Error Example 2 – Out-of-Range Values and Duplication

This example includes invalid elements such as numbers outside the expected range and duplicated mappings.
It violates the constraint of one-to-one mapping.


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### ❌ Error Example 3 – Incorrect Alphabet Continuation

The alphabet sequence is broken and does not correctly follow A–Z mapping.
Some letters are misplaced or repeated.


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### ✅ Correct Example – Manual Reference (Human-Corrected)

This image was manually corrected using an external editor (not generated by AI).

It represents the correct mapping:
1 → A
2 → B
...
26 → Z

This serves as the ground truth reference for evaluation.


## Author
Terraforming Planet