---
task_categories:
- text-generation
language:
- it
dataset_info:
  features:
  - name: question
    dtype: string
  - name: answer
    dtype: string
  splits:
  - name: train
    num_bytes: 35023539
    num_examples: 17057
  download_size: 19022936
  dataset_size: 35023539
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Sonnet 3.5 🇮🇹 Dataset 📊 Model Card

## Overview

The **Sonnet 3.5 🇮🇹 Dataset** is a high-quality 🏆 dataset for various NLP 🗣️ tasks in 🇮🇹. It includes programming 💻 code, instruction-following 📜 examples, Q&A ❓❗ pairs, and translations 🌍, providing rich data to enhance 🇮🇹 language models.

## Key Features

- **Language**: Primarily in **🇮🇹**, ideal for 🇮🇹 NLP.
- **Content Types**:
  - **Code**: 💻 snippets with explanations.
  - **Instruction Following**: 📜 Examples for task automation 🤖 and problem-solving 🧠.
  - **Q&A**: ❓❗ Pairs covering various topics.
  - **Translations**: 🌍 Examples to improve multilingual understanding.
  - **General Examples**: Summarization ✍️, classification 🏷️, paraphrasing 🔄, etc.

## Dataset Composition

- **Number of Examples**: 75,000 📊 examples, with high-quality 🏆 annotations.
- **Source Diversity**: Data from open-source 📂 repositories, user 👤 interactions, and crowd-sourced 🤝 contributions.

## Quality Assurance

- **Consistency**: Uniform formatting 📐 and annotation 📝.
- **High-Quality Responses**: Vetted for linguistic quality 🏅 and correctness ✅.
- **Ethical Considerations**: Harmful content 🚫 removed.

## License

Released under **CC BY-SA 4.0** 📜, encouraging both academic 🎓 and commercial 💼 use.

## Dataset Creation Cost

- **Cost**: The creation of this dataset required significant investment, with costs reaching approximately 3,000 euros 💶. This reflects the effort, time, and expertise involved in curating high-quality examples. If you're interested in using this dataset, please reach out via email 📧. Please note, this is a private dataset.

## Citation

If you use this dataset, please cite:

```
@dataset{sonnet_3.5_italian,
  title={Sonnet 3.5 Italian Dataset},
  year={2024},
  publisher={DeepMount00},
  note={https://huggingface.co./DeepMount00}
}
```