ValueError: Protocol not known: http:https - dataframe

Question

I am trying to upload a dataset of image links and captions to huggingface datasets.
df1 = pd.read_csv('xx.csv')
features = Features({
'link': Image(decode=True),
'caption': Value(dtype='string'),
})
ds = Dataset.from_pandas(df1, features=features)
ds.features
ds.push_to_hub("xx/xx")
I got the below error
100%|██████████| 3/3 [14:03<00:00, 281.08s/ba]
0%| | 0/3 [03:27<?, ?ba/s] hub: 0%| | 0/67 [00:00<?, ?it/s]
Pushing dataset shards to the dataset hub: 1%|▏ | 1/67 [03:27<3:48:29, 207.72s/it]
Output exceeds the size limit. Open the full output data in a text editor
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-2-58ace97f5644> in <module>
4 ds.features
5
----> 6 ds.push_to_hub("xx/xx")
c:\Users\96654\anaconda3\lib\site-packages\datasets\arrow_dataset.py in push_to_hub(self, repo_id, split, private, token, branch, max_shard_size, num_shards, shard_size, embed_external_files)
4942 max_shard_size=max_shard_size,
4943 num_shards=num_shards,
-> 4944 embed_external_files=embed_external_files,
4945 )
4946 organization, dataset_name = repo_id.split("/")
c:\Users\96654\anaconda3\lib\site-packages\datasets\arrow_dataset.py in _push_parquet_shards_to_hub(self, repo_id, split, private, token, branch, max_shard_size, num_shards, embed_external_files)
4805 desc="Pushing dataset shards to the dataset hub",
4806 total=num_shards,
-> 4807 disable=not logging.is_progress_bar_enabled(),
4808 ):
4809 shard_path_in_repo = path_in_repo(index, shard)
c:\Users\96654\anaconda3\lib\site-packages\tqdm\std.py in __iter__(self)
1163
1164 try:
-> 1165 for obj in iterable:
...
--> 240 raise ValueError("Protocol not known: %s" % protocol)
241 bit = known_implementations[protocol]
242 try:
ValueError: Protocol not known: http:https
I'm uploading an image-caption CSV file to huggingface datasets by decoding the images links to display them in a column