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--- |
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license: apache-2.0 |
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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: valid |
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path: data/valid-* |
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- split: test |
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path: data/test-* |
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dataset_info: |
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features: |
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- name: sequence |
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dtype: string |
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- name: length |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 12071713186 |
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num_examples: 41546293 |
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- name: valid |
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num_bytes: 24293086 |
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num_examples: 82929 |
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- name: test |
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num_bytes: 19981814 |
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num_examples: 48941 |
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download_size: 11690105266 |
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dataset_size: 12115988086 |
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--- |
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# Uniref50: Uniref Sequences clustered at 50% sequence identity |
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- ~40M Protein Sequences. |
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- Split into train val and test. |
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# Usage |
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``` |
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from datasets import load_dataset |
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# Step 1: Load the dataset from HuggingFace Hub |
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dataset = load_dataset("zhangzhi/Uniref50") |
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# Step 2: Access a specific split (e.g., "train", "validation", "test") |
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train_split = dataset["train"] |
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print(f"Number of sequences in the train split: {len(train_split)}") |
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``` |
