Datasets:

kietzmannlab
/

ecoset

Tasks:

Image Classification

Sub-tasks:

multi-class-classification

multi-class-image-classification

Tags:

other-image-classification

image-classification

License:

Dataset card Files Files and versions Community

DiGyt commited on Sep 13, 2022

Commit

c202e36

•

1 Parent(s): d796a3a

added param names

Files changed (1) hide show

ecoset.py +1 -1

ecoset.py CHANGED Viewed

@@ -163,7 +163,7 @@ class Ecoset(datasets.GeneratorBasedBuilder):
                 s3 = boto3.client(urlinfo.scheme, config=Config(signature_version=UNSIGNED))
                 object_size = s3.head_object()["ContentLength"]
                 with tqdm.tqdm(total=object_size, unit="B", unit_scale=True, desc=filename) as pbar:
-                    s3.download_file(urlinfo.netloc, urlinfo.path[1:], zip_path,
                     Callback=lambda bytes_transferred: pbar.update(bytes_transferred))
             # unzip using platform-based subprocess
             if platform.system() in ("Linux", "Darwin"):

                 s3 = boto3.client(urlinfo.scheme, config=Config(signature_version=UNSIGNED))
                 object_size = s3.head_object()["ContentLength"]
                 with tqdm.tqdm(total=object_size, unit="B", unit_scale=True, desc=filename) as pbar:
+                    s3.download_file(Bucket=urlinfo.netloc, Key=urlinfo.path[1:], Filename=zip_path,
                     Callback=lambda bytes_transferred: pbar.update(bytes_transferred))
             # unzip using platform-based subprocess
             if platform.system() in ("Linux", "Darwin"):