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license: apache-2.0 |
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task_categories: |
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- text-generation |
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tags: |
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- Genomics |
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--- |
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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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--- |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 18491278 |
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num_examples: 53276 |
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- name: test |
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num_bytes: 2054722 |
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num_examples: 5920 |
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download_size: 9488224 |
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dataset_size: 20546000 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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--- |
