|
|
--- |
|
|
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"] |
|
|
|
