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fredzzp/Uniref50

Uniref50: Uniref Sequences clustered at 50% sequence identity ~40M Protein Sequences. Split into train val and test. Usage from datasets import load_dataset # Step 1: Load the dataset from HuggingFace Hub dataset = load_dataset("zhangzhi/Uniref50") # Step 2: Access a specific split (e.g., "train", "validation", "test") train_split = dataset["train"] print(f"Number of sequences in the train split: {len(train_split)}")

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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Uniref50: Uniref Sequences clustered at 50% sequence identity

—~40M Protein Sequences.
—Split into train val and test.

Usage

from datasets import load_dataset

# Step 1: Load the dataset from HuggingFace Hub
dataset = load_dataset("zhangzhi/Uniref50")

# Step 2: Access a specific split (e.g., "train", "validation", "test")
train_split = dataset["train"]
print(f"Number of sequences in the train split: {len(train_split)}")