Datasets: Scientific Papers only downloading Pubmed

Created on 26 May 2020  路  3Comments  路  Source: huggingface/datasets

Hi!

I have been playing around with this module, and I am a bit confused about the scientific_papers dataset. I thought that it would download two separate datasets, arxiv and pubmed. But when I run the following:

dataset = nlp.load_dataset('scientific_papers', data_dir='.', cache_dir='.')
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Downloading and preparing dataset scientific_papers/pubmed (download: 4.20 GiB, generated: 2.33 GiB, total: 6.53 GiB) to ./scientific_papers/pubmed/1.1.1...
Downloading: 3.62GB [00:40, 90.5MB/s]
Downloading: 880MB [00:08, 101MB/s]
Dataset scientific_papers downloaded and prepared to ./scientific_papers/pubmed/1.1.1. Subsequent calls will reuse this data.

only a pubmed folder is created. There doesn't seem to be something for arxiv. Are these two datasets merged? Or have I misunderstood something?

Thanks!

Most helpful comment

Hi so there are indeed two configurations in the datasets as you can see here.

You can load either one with:

dataset = nlp.load_dataset('scientific_papers', 'pubmed')
dataset = nlp.load_dataset('scientific_papers', 'arxiv')

This issues is actually related to a similar user-experience issue with GLUE. When several configurations are available and the first configuration is loaded by default (see issue #152 and #130), it seems to be unexpected for users.

I think we should maybe raise a (very explicit) error when there are several configurations available and the user doesn't specify one.

What do you think @lhoestq @patrickvonplaten @mariamabarham ?

All 3 comments

Hi so there are indeed two configurations in the datasets as you can see here.

You can load either one with:

dataset = nlp.load_dataset('scientific_papers', 'pubmed')
dataset = nlp.load_dataset('scientific_papers', 'arxiv')

This issues is actually related to a similar user-experience issue with GLUE. When several configurations are available and the first configuration is loaded by default (see issue #152 and #130), it seems to be unexpected for users.

I think we should maybe raise a (very explicit) error when there are several configurations available and the user doesn't specify one.

What do you think @lhoestq @patrickvonplaten @mariamabarham ?

Yes, it looks like the right thing to do

Now if you don't specify which part you want, it raises an error:

ValueError: Config name is missing.
Please pick one among the available configs: ['pubmed', 'arxiv']
Example of usage:
    `load_dataset('scientific_papers', 'pubmed')`
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