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import math | |
import os | |
from collections import defaultdict | |
from pathlib import Path | |
from huggingface_hub import CommitOperationAdd, preupload_lfs_files, create_commit | |
# fast transfers using a Rust library, `pip install hf-transfer` | |
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1" | |
splits = ['train', 'validation', 'test'] | |
path = Path('/data/in22k-wds') | |
files = path.glob('*.tar') | |
split_files = [(f, f.name.split('-')) for f in files] | |
per_split = defaultdict(list) | |
for s in splits: | |
for f in split_files: | |
if any([n == s for n in f[1]]): | |
per_split[s].append(f) | |
for s in per_split.keys(): | |
per_split[s] = list(sorted(per_split[s])) | |
num_files_per_commit = 100 | |
repo_id = 'timm/imagenet-22k-wds' | |
for s, file_list in per_split.items(): | |
operations = [] | |
commits = 0 | |
num_commits = int(math.ceil(len(file_list) / num_files_per_commit)) | |
for f in file_list: | |
shard_name = f[0].name | |
addition = CommitOperationAdd(path_in_repo=shard_name, path_or_fileobj=f[0]) | |
preupload_lfs_files(repo_id, additions=[addition], repo_type='dataset') | |
operations.append(addition) | |
if len(operations) == num_files_per_commit: | |
create_commit(repo_id, operations=operations, commit_message=f"commit {commits + 1} of {num_commits} for split {s}.", repo_type='dataset') | |
operations = [] | |
commits += 1 | |
if operations: | |
create_commit(repo_id, operations=operations, | |
commit_message=f"commit {commits + 1} of {num_commits} for split {s}.", repo_type='dataset') | |
operations = [] |
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