tfds.load does not download data to my directory
Hi @j622amilah ,

Need more context on this to verify whether this is environmental compatibilities of kaggle. Could you please check the code on Google colab and submit the gist to verify.

Thanks! If tfds.load from the TensorFlow Datasets (TFDS) library is not downloading data to your directory as expected, you can try troubleshooting the issue using the following steps:

1) Check Internet Connection: Ensure that your internet connection is working properly. TFDS downloads datasets from the internet, so a stable internet connection is necessary.

2) Update TensorFlow and TensorFlow Datasets: Make sure you have the latest versions of TensorFlow and TensorFlow Datasets installed. You can upgrade them using pip:
pip install --upgrade tensorflow tensorflow-datasets

3) Specify Data Directory: By default, TFDS stores downloaded datasets in the directory specified by the ~/tensorflow_datasets environment variable. You can override this default behavior by specifying the data_dir parameter in tfds.load. For example:

import tensorflow_datasets as tfds

# Specify custom data directory
tfds.load('dataset_name', data_dir='/path/to/custom/directory')

4) Check Permissions: Ensure that you have the necessary permissions to write to the directory where you want to save the datasets.

5) Check Firewall and Proxy Settings: If you are behind a firewall or using a proxy server, ensure that they are configured correctly to allow downloads from the TFDS servers.

6) Try Different Dataset: If the issue persists with a specific dataset, try downloading a different dataset to see if the problem is dataset-specific or more general.

I hope all these helps
 Thank you both for your very helpful responses! I was missing the data_dir path specification for the tfds.load function, I went to the tfds.load description page but it was not apparent that I should do this. I can see both the downloads folder and the dataset_name folder under specified data_dir path. Thank you again for your help. I will make this comment as closed.  All the best!  Are you satisfied with the resolution of your issue?
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### Issue type

Support

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

2.15.0

### Custom code

No

### OS platform and distribution

Ubuntu 20.04.6 LTS

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

I tried to use several datasets from Tensorflow using tfds.load, and sometimes the data downloads to my directory and sometimes the data DOES NOT download to my directory; I am using Kaggle. When the data does not download to my directory, I can still use the data, it is distributing and I am contacting to understand why I can use the data without it downloading to my PC. 

An example command is below:
ds_train = tfds.load('bccd', split='train', shuffle_files=True)

### Standalone code to reproduce the issue

```shell
The data from tfds datasets does not download to my Kaggle directory.
```


### Relevant log output

_No response_