add readme for this mouse data

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by alan-ai - opened
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  1. README.md +71 -0
README.md ADDED
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+ ---
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+ annotations_creators:
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+ - no-annotation
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+ language_creators:
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+ - no-annotation
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+ task_categories:
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+ - text-classification
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+ tags:
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+ - genomics
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+ - dna
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+ - bioinformatics
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+ - mouse-dna
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+ source_datasets:
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+ - mouse-reference-genome (unconfirmed)
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+ language:
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+ - en
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+ license: other
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+ license_name: unspecified
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+ ---
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+
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+ # `Mouse_DNA_v0`
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+
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+ ## Dataset Description
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+
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+ 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.
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+
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+ 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.
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+
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+ ## Dataset Structure
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+
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+ The dataset is available in the `parquet` format and is likely split into training and testing subsets, though this needs to be confirmed.
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+
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+ ### Data Fields
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+
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+ The dataset likely includes the following fields:
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+ * **text**: A raw DNA sequence string, consisting of the nucleotides `A`, `T`, `C`, and `G`.
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+
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+ ## Dataset Creation
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+
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+ ### Data Source
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+
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+ The raw DNA sequences are likely derived from the reference genome of *Mus musculus*.
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+
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+ ### Preprocessing and Format
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+
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+ The raw genomic sequences were extracted and formatted into `parquet` files, which are efficient for large-scale data processing in machine learning workflows.
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+
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+ ## Intended Uses
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+
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+ The dataset can be used for:
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+ * **Bioinformatics Research**: Exploring the applications of machine learning to analyze raw mouse genomic data.
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+ * **Genomic Classification**: Building models to identify specific features within mouse DNA.
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+ * **Comparative Genomics**: Comparing genomic features between different species (e.g., mouse, human, worm) by using this dataset alongside similar ones.
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+
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+ ## Limitations and Ethical Considerations
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+
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+ * **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.
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+ * **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.
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+
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+ ## How to Get the Dataset
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+
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+ You can easily load this dataset from the Hugging Face Hub using the `datasets` library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load the dataset
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+ dataset = load_dataset("davidcechak/Mouse_DNA_v0")
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+
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+ # Access the training split
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+ train_dataset = dataset["train"]