---
annotations_creators:
- no-annotation
language_creators:
- no-annotation
task_categories:
- text-classification
tags:
- genomics
- dna
- bioinformatics
- mouse-dna
source_datasets:
- mouse-reference-genome (unconfirmed)
language:
- en
license: other
license_name: unspecified
---

# `Mouse_DNA_v0`

## Dataset Description

The `davidcechak/Mouse_DNA_v0` is a dataset containing raw DNA sequences from the mouse reference genome (*Mus musculus*). It is intended as a foundational dataset for various machine learning and bioinformatics tasks, such as training models to recognize patterns in mouse DNA.

As a foundational dataset, it can be used directly for research or further processed into different formats, such as the 6-mer tokenized version, `davidcechak/Mouse_DNA_v0_DNABert6tokenized`. This allows for flexibility in using different model architectures, including those based on transformers like DNABert.

## Dataset Structure

The dataset is available in the `parquet` format and is likely split into training and testing subsets, though this needs to be confirmed.

### Data Fields

The dataset likely includes the following fields:
*   **text**: A raw DNA sequence string, consisting of the nucleotides `A`, `T`, `C`, and `G`.

## Dataset Creation

### Data Source

The raw DNA sequences are likely derived from the reference genome of *Mus musculus*.

### Preprocessing and Format

The raw genomic sequences were extracted and formatted into `parquet` files, which are efficient for large-scale data processing in machine learning workflows.

## Intended Uses

The dataset can be used for:
*   **Bioinformatics Research**: Exploring the applications of machine learning to analyze raw mouse genomic data.
*   **Genomic Classification**: Building models to identify specific features within mouse DNA.
*   **Comparative Genomics**: Comparing genomic features between different species (e.g., mouse, human, worm) by using this dataset alongside similar ones.

## Limitations and Ethical Considerations

*   **Unspecified Origin**: Without an official dataset card from the author, the precise origin and collection methodology of the sequences are unknown. This may impact reproducibility and potential biases.
*   **Licensing**: The license is currently unspecified. For any public or commercial use, it is necessary to verify the terms with the author, David Cechak, on Hugging Face.

## How to Get the Dataset

You can easily load this dataset from the Hugging Face Hub using the `datasets` library:

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("davidcechak/Mouse_DNA_v0")

# Access the training split
train_dataset = dataset["train"]