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#5
by
tillwenke
- opened
How do they compare here? I am new to hf but at least from the documentation given I cannot see any difference. thanks
@tillwenke did you have any idea? also curious about this
Hi.
You have the description in the docstring of the loading script: https://huggingface.co/datasets/wiki_dpr/blob/main/wiki_dpr.py#L53
with_embeddings (`bool`, defaults to `True`): Load the 768-dimensional embeddings from DPR.
with_index (`bool`, defaults to `True`): Load the faiss index trained on the embeddings.
wiki_split (`str`, defaults to `psgs_w100`): name of the splitting method of wiki articles.
embeddings_name (`str`, defaults to `nq`): "nq" or "multiset", depending on which dataset DPR was trained on.
index_name (`str`, defaults to `compressed`): "compressed" or "exact", the configuration of the faiss index to use.
Maybe @lhoestq can give more details.
I agree we should better document this in the dataset card.
If it helps I gave some details abouts the embeddings_name and index_name at https://huggingface.co/datasets/wiki_dpr/discussions/8
I have added the explanation to the dataset card: #11
albertvillanova
changed discussion status to
closed