| --- |
| annotations_creators: |
| - no-annotation |
| language_creators: |
| - no-annotation |
| task_categories: |
| - text-classification |
| tags: |
| - genomics |
| - dna |
| - bioinformatics |
| - zebrafish-dna |
| source_datasets: |
| - zebrafish-reference-genome (unconfirmed) |
| language: |
| - en |
| license: other |
| license_name: unspecified |
| --- |
| |
| # `Zebrafish_DNA_v0` |
|
|
| ## Dataset Description |
|
|
| The `davidcechak/Zebrafish_DNA_v0` is a dataset containing raw DNA sequences from the zebrafish reference genome (*Danio rerio*). It is intended as a foundational dataset for various machine learning and bioinformatics tasks, such as training models to recognize patterns in zebrafish 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/Zebrafish_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 *Danio rerio*. |
|
|
| ### 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 zebrafish genomic data. |
| * **Genomic Classification**: Building models to identify specific features within zebrafish DNA. |
| * **Comparative Genomics**: Comparing genomic features between different species (e.g., zebrafish, 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/Zebrafish_DNA_v0") |
| |
| # Access the training split |
| train_dataset = dataset["train"] |
| |
