Datasets:
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---
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dataset_info:
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features:
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Dataset for Fine-tuning Mistral Model on Tata and No Tata Sequences
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Description
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This dataset is specifically curated for training the Mistral model to distinguish between 'tata' and 'no tata' sequences. It is derived and reformatted from a dataset originally created by InstaDeep, tailored to enhance the performance of natural language processing models in identifying specific patterns.
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Dataset Information
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Features: This dataset consists of sequences represented as strings under the 'text' feature.
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Splits: The dataset is divided into two splits:
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Train: 53,276 examples
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Test: 5,920 examples
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dataset_info:
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features:
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