task_categories:question-answering language:en license:mit size_categories:1K<n<10K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
configs:
- config_name: glimmerfox
  data_files: "glimmerfox.tsv"
  sep: "\t"
license: mit
task_categories:
- question-answering
language:
- en
pretty_name: Glimmerfox
size_categories:
- 1K<n<10K
---

# Glimmerfox Knowledge Base – Q&A Dataset for RAG

<p align="left">
  <img src="https://raw.githubusercontent.com/bilozorov/glimmerfox/main/images/glimmerfox.webp" alt="Glimmerfox" width="400" height="300">
</p>

## Dataset Details

### Dataset Description

The **Glimmerfox Knowledge Base - Q&A Dataset** is a synthetic dataset designed for Retrieval-Augmented Generation (RAG) projects. It contains a comprehensive collection of questions and answers about the fictional species **Glimmerfox** (*Vulpilynx chameleontis*). The Glimmerfox is a genetically-engineered species combining traits from foxes (*Vulpes*), lynxes (*Lynx*), and chameleons (*Chamaeleonidae*), developed at the Sofia Laboratory for Genetic Innovation and Biodiversity in Bulgaria. This dataset is useful for training NLP models in tasks such as reading comprehension, natural language understanding, synthetic biology simulations, and species description generation.

- **Language(s) (NLP):** English
- **License:** MIT

### Dataset Sources [optional]

- **Repository:** https://huggingface.co/datasets/bilozorov/glimmerfox/
- **Demo [optional]:** Not Applicable

## Uses

### Direct Use

The **Glimmerfox Knowledge Base - Q&A Dataset** can be directly used for several NLP tasks:
- **Retrieval-Augmented Generation (RAG)**: Use this dataset to train models for enhanced retrieval-based question answering.
- **Question Answering (QA)**: Suitable for training models to answer questions related to fictional synthetic species.
- **Natural Language Understanding (NLU)**: Can be utilized for models focusing on creative and fictional text comprehension.
- **Synthetic Biology Simulations**: Useful for simulation games or educational tools that require knowledge about fictional organisms and ecosystems.

### Out-of-Scope Use

- This dataset is not suitable for real-world factual data applications.
- It should not be used for tasks that require large-scale real-world datasets or sensitive personal data analysis.

## Dataset Structure

The dataset is provided in CSV format, with each entry containing a question and its corresponding answer. 

- **Columns**:
  - `question`: A question related to the Glimmerfox, covering aspects like its origin, behavior, anatomy, and more.
  - `answer`: The corresponding answer to the question, derived from detailed documentation.
- **Schema**:
  - `question`: Text (string)
  - `answer`: Text (string)
- **No data splits**: The dataset is provided as a single file without predefined splits for training, validation, or testing.

## Dataset Creation

### Curation Rationale

The dataset was created to provide a resource for NLP models that work with fictional and synthetic data, especially in the domain of Retrieval-Augmented Generation (RAG) and question answering systems.

### Source Data

The data is derived from comprehensive documentation sections about the Glimmerfox, a fictional synthetic species. Each question-answer pair in the dataset provides educational and creative insights into various characteristics of the Glimmerfox.

#### Data Collection and Processing

Data was generated by analyzing detailed documentation covering aspects like taxonomy, anatomy, behavior, and ecology of the Glimmerfox. No filtering or normalization was necessary as the data is synthetic and based on controlled content.

#### Who are the source data producers?

The source data was created by the curator(s) of the dataset using fictional scenarios and synthetic biology concepts.

#### Personal and Sensitive Information

This dataset does not contain any personal, sensitive, or private information. All data is fictional and educational.

## Bias, Risks, and Limitations

- The dataset is fictional and may not be suitable for applications requiring real-world factual data.
- It is not designed for tasks that require large-scale datasets or sensitive personal data analysis.

### Recommendations

Users should be made aware of the fictional nature of the dataset and the limitations of using it for real-world applications.

## Citation [optional]

**BibTeX:**

```
@dataset{glimmerfox,
  title={Glimmerfox Knowledge Base - Q&A Dataset},
  author={Maksym Bilozorov},
  year={2024},
  howpublished={Hugging Face},
  url={https://huggingface.co/datasets/glimmerfox}
}
```

## Dataset Card Contact

bilozorov[аt]gmail.com