You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
we don't currently have such a dataset on huggingface, but we will let you know if we decide to do so! One issue is that the weights are on the chunk level, meaning that we are weighting sampling probability for the tokenized examples (not the raw documents).
Is there a data set compatible with HF I may use?
dataset = load_dataset("c4", "en", streaming=True, split="train").with_format("torch")
remove_columns = ["text", "timestamp", "url"]
but instead have
dataset = load_dataset("doremi", "en", streaming=True, split="train").with_format("torch")
remove_columns = ["text", "timestamp", "url"]
thus automatically using the doremi weights?
The text was updated successfully, but these errors were encountered: