Update README.md

README.md

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-- **ESCHERICHIA_SEQDB**: Contains 394 E. coli sequences from the Guelin collection and 100 additional temperate phages. Each sequence is labeled as either virulent or temperate.
-- **EXTREMOPHILE_SEQDB**: Contains 16 phages from extreme environments (e.g., deep-sea, acidic environments). These sequences are split into segments of 512bp and 1022bp for analysis.
-- **BACPHLIP_TRAINING_SEQDB**: The training set for BACPHLIP, consisting of 1868 sequences labeled for phage lifestyle classification.
-- **BACPHLIP_VALIDATION_SEQDB**: The validation set for BACPHLIP, containing 394 sequences used to validate the performance of the models.
+- **BACPHLIP Training Set**: This subset consists of **1,868 phage sequences** collected from non-Escherichia phages. The sequences are carefully labeled as virulent or temperate, and the dataset was constructed using the high-quality annotations from the **BACPHLIP** study. These sequences are used to train the ProkBERT model for lifestyle prediction.
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+- **BACPHLIP Validation Set**: Comprising **246 Escherichia phage sequences**, this validation set is used to test the performance of the model after training. The sequences are also labeled based on their lifestyle and are critical for evaluating the generalization capability of the ProkBERT model on Escherichia species.
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+- **ESCHERICHIA (Guelin collection + 100 high-quality phages)**: This dataset contains **394 Escherichia phages**, which includes the Guelin collection and an additional 100 randomly selected, high-quality temperate phages. The sequences are segmented into smaller chunks (512bp and 1022bp), representing real-world metagenome assemblies, often fragmented.
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+- **EXTREMOPHILE Phage Set**: This test dataset consists of **16 bacteriophages** isolated from extreme environments like deep-sea, acidic environments, and arsenic-rich microbial mats. It represents underexplored environments, making it essential for testing how well the models generalize to novel phages outside the commonly studied species.
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 ## Data Fields