Hi, I am not sure that I understand your problem. Could you clarify what you mean by the entire dataset, and what you are hoping to download instead? If you are trying to download just v1_6-sample but v1_6 is getting downloaded instead, then can you please share your repro steps?

I attempted to repro the behavior seen here. Based on the instructions, I tried to download the data first with wget, and then with load_datasets. The load_datasets step always downloaded v1_6, no matter how I set the data dir. If I passed name="v1_6-sample" to the load_datasets, then the correct data began to download.

@soldni The downloading from wget seems to have no discernible influence on the load_datasets steps; they seem to be 2 different ways of downloading the dataset. Is that correct? If so, can you clarify the README to indicate wget and load_datasets as 2 different ways of getting the data? If not, please clarify their relationship in the README.

Same here. The load_datasets step results in a connection error.

....
ConnectionError: Couldn't reach [URL omitted for safety]v1_5r2_sample-0000.json.gz (ConnectionError(ProtocolError('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))))

Can someone provide a minimal example on how to load the data from local copy (downloaded using wget) with huggingface? The code on the website and various trivial modifications (e.g. adding the version to load_dataset) do not work.

here is what i ended up using (maybe too much info, but in case it helps someone):

I had some issues setting up my HF to work with ssh and cloning; I created my .ssh token, but I then had to add it to my ssh client:

ssh-add ~/.ssh/huggingface

where huggingface was the name of my key. then you should be able to run "ssh -T git@hf.co" and see a response "Hi {username}, welcome to Hugging Face"

then i made a .sh file:

DATA_DIR='/home/ubuntu/data'
PARALLEL_DOWNLOADS='10'
DOLMA_VERSION='v1_6-sample'

git clone git@hf.co:datasets/allenai/dolma

mkdir -p "${DATA_DIR}"

cat "dolma/urls/${DOLMA_VERSION}.txt" | xargs -n 1 -P "${PARALLEL_DOWNLOADS}" wget -q -P "$DATA_DIR"

and ran it, and the files downloaded without error. to actually load the files, I ran:

from datasets import load_dataset

Set the path to the directory where your JSON files are located

data_dir = '/home/ubuntu/data'
file_pattern = 'v1_5r2_sample-*.json.gz' # Adjust the pattern to match your files

Load the dataset from the specified JSON files

dataset = load_dataset('json', data_files=f'{data_dir}/{file_pattern}', split='train', stream=True)

print(dataset)

Note I had to use stream to load it otherwise my RAM got shot