---
license: apache-2.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: valid
    path: data/valid-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: sequence
    dtype: string
  - name: length
    dtype: int64
  splits:
  - name: train
    num_bytes: 12071713186
    num_examples: 41546293
  - name: valid
    num_bytes: 24293086
    num_examples: 82929
  - name: test
    num_bytes: 19981814
    num_examples: 48941
  download_size: 11690105266
  dataset_size: 12115988086
---
# 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)}")
```