---
dataset: GenAI G11n Prompt Evaluation Dataset
emoji: 🌍
colorFrom: green
colorTo: yellow
tags:
  - multilingual
  - generative-ai
  - qa-evaluation
  - instruction-response
  - translation
  - cultural-adaptation
  - multimodal
---

# 🌍 GenAI G11n Prompt Evaluation Dataset

This dataset was developed to support manual evaluation of multilingual generative AI models based on coherence, translation accuracy, cultural adaptation, and multimodal consistency.

## 📦 Dataset Contents

The dataset includes:

- **Prompts Type**: A list of types of prompts for testing linguistic behavior in different contexts.
- **Placeholders**: A list of the used placeholders to localize the prompts usually from the locale's word dataset.
- **Locale Folder**: All data related specifically to one locale.
  - Assessment Categories:
    - Language & Grammar
    - Cultural Adaptation
    - Instruction & Response
    - Multimodal Consistency
  - Word Dataset: Collection of culturally relevant words for that specific locale.
  - Formatting: Guidelines and other aspects to evaluate beyond translation, specifics for each locale.

## 🧪 Purpose

This dataset enables the manual assessment of AI models on tasks such as:

- Following multilingual instructions
- Handling ambiguity in translation
- Adapting responses to regional or cultural nuances
- Generating appropriate outputs in audio, image, and code formats

## ✅ Evaluation Criteria

The prompts are designed to evaluate the following success criteria:

- Instruction & Response Coherence
- Translation Accuracy
- Cultural Adaptation
- Multimodal Consistency

## 👥 Evaluation Team

- **Andres Castillo** – G11n QA  
- **Edgar Castillo** – G11n QA  
- **Patricia Oceguera** – Linguistic Advisor  
- **Marcela Salgado** – Review Support  

## 📊 Evaluated AI Model Versions

- **ChatGPT** – GPT-4o  
- **Gemini** – 2.0 Flash  
- **Copilot** – GPT-4o  
- **DeepSeek** – V3  

## 📄 License

This dataset is released under the [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/), allowing sharing, modification, and redistribution with proper attribution.

## 📌 Additional Notes

For detailed instructions on how to run the evaluation using this dataset, go to the model page:  
**G11n_GenAI_Assessment_Model** under the organization **Dilato Infotech Limited** here on [Hugging Face](https://huggingface.co/DilatoMX/G11n_GenAI_Assesment_Model).