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README.md

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+# Dataset Card for VirBiCla-training
+
+VirBiCla is a ML-based viral DNA detector designed for long-read sequencing metagenomics.
+
+This dataset is a support dataset for training the base ML model.
+
+## Dataset Details
+
+### Dataset Description
+
+- **Curated by:** [Astra Bertelli](https://astrabert.vercel.app/)
+- **License:** MIT License
+
+### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Repository:** [GitHub repository for VirBiCla](https://github.com/AstraBert/VirBiCla)
+
+## Uses
+
+This dataset is intended as support for training the base VirBiCla model
+
+
+## Dataset Structure
+
+Dataset is a CSV file composed of 60.003 record sequences (coming from RefSeq 16S bacterial rRNA, 18S fungal rRNA, SSU eukaryotic rRNA and RefSeq viral genomes) evaluated on 13 features.
+
+Features are:
+
+- Domain
+- A, T, C and G proportion
+- Percentage of A, T, C and G homopolimeric regions
+- Gene density
+- Entropy
+- Effective Number of Codons (codon usage metrics)
+
+## Dataset Creation
+
+Find everything that is needed for Dataset creation on [VirBiCla website](https://astrabert.github.io/VirBiCla)
+
+## Bias, Risks, and Limitations
+
+The dataset is mainly directed towards amplicon-sequencing and long-read sequencing, which are the best use cases for VirBiCla.
+
+
+## Citation
+
+Please consider cite the author of this work (Astra Bertelli) and VirBiCla [GitHub repository](https://github.com/AstraBert/VirBiCla) when using this dataset or the associated model.