Datasets:

SilvioGiancola

/

TrackingNet

like 1

Hi @Michael34234 , I am still figuring out how HF works.
Can you please tell me whether you can download the TRAIN_0 split with the following line of code:

pip install huggingface_hub["cli"]

from huggingface_hub import snapshot_download

# Download TRAIN_0 split
snapshot_download(repo_id="SilvioGiancola/TrackingNet", repo_type="dataset", revision="main", allow_patterns="*TRAIN_0/*", local_dir="TrackingNet_HF")

I am uploading the other splits, but it will take a few days to commit, push and upload 1.2TB of data.

Delighted to hear from you this soon!
The answer is a definite yes! And the downloading process works perfectly fine!

Waiting for your precious data~~ Thanks~ Love U~

BTW, my code is :
snapshot_download(repo_id='SilvioGiancola/TrackingNet',
repo_type='dataset',
local_dir='/home/liyou/opensource_datasets/TrackingNet',
resume_download=True,
local_dir_use_symlinks=False)

Maybe directly uploading the .zip file will be faster? if the floder consists of too many small files

Great, thanks for sharing your line of code, I like that option: local_dir_use_symlinks=False better.
I considered the zip, but HF has a limit of 50GB per file and the zip versions of the split are ~90GB each.

Actually, I would not advise to use local_dir_use_symlinks=False as it will overwrite the file every time you run the line of code, creating an overhead on huggingface servers. Please prefer that line of code:

snapshot_download(repo_id="SilvioGiancola/TrackingNet", 
                  repo_type="dataset", revision="main",
                  local_dir="TrackingNet_HF", 
                  allow_patterns="*TRAIN_0/*")

Actually, I would not advise to use local_dir_use_symlinks=False as it will overwrite the file every time you run the line of code, creating an overhead on huggingface servers. Please prefer that line of code:

snapshot_download(repo_id="SilvioGiancola/TrackingNet", 
                  repo_type="dataset", revision="main",
                  local_dir="TrackingNet_HF", 
                  allow_patterns="*TRAIN_0/*")

Got it! It really helps~