westlake-repl/AF2_UniRef50
AF2_UniRef50 is organized in LMDB format. If you want to load it, you have to first download it and then open the file using the lmdb package. Here is an example of how you can get samples: import lmdb lmdb_dir = "/your/path/to/AF2_UniRef50/train" with lmdb.open(lmdb_dir, readonly=True).begin() as txn: length = int(txn.get('length'.encode()).decode()) for i in range(length): data_str = txn.get(str(i).encode()).decode() data = json.loads(data_str) print(data)… See the full description on the dataset page: https://huggingface.co/datasets/westlake-repl/AF2_UniRef50.
| Author / organization | westlake-repl |
|---|---|
| License (as declared) | mit |
| Downloads | 163 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 18 January 2024 |
| Last updated at source | 17 January 2025 |
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