Add SubjQA dataset
{'login': 'lewtun', 'id': 26859204, 'node_id': 'MDQ6VXNlcjI2ODU5MjA0', 'avatar_url': 'https://avatars.githubusercontent.com/u/26859204?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lewtun', 'html_url': 'https://github.com/lewtun', 'followers_url': 'https://api.github.com/users/lewtun/followers', 'following_url': 'https://api.github.com/users/lewtun/following{/other_user}', 'gists_url': 'https://api.github.com/users/lewtun/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lewtun/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lewtun/subscriptions', 'organizations_url': 'https://api.github.com/users/lewtun/orgs', 'repos_url': 'https://api.github.com/users/lewtun/repos', 'events_url': 'https://api.github.com/users/lewtun/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lewtun/received_events', 'type': 'User', 'site_admin': False}
[]
[]
I'm not sure why the windows test fails, but looking at the logs it looks like some caching issue on one of the metrics ... maybe re-run and 🤞 ? Hi @lewtun, thanks for adding this dataset!

If the dataset is going to be referenced heavily, I think it's worth spending some time to make the dataset card really great :) To start, the information that is currently in the `Data collection` paragraph should probably be organized in the `Dataset Creation` section.

Here's a link to the [relevant section of the guide](https://github.com/huggingface/datasets/blob/master/templates/README_guide.md#dataset-creation), let me know if you have any questions! > If the dataset is going to be referenced heavily, I think it's worth spending some time to make the dataset card really great :) To start, the information that is currently in the `Data collection` paragraph should probably be organized in the `Dataset Creation` section.

great idea @yjernite! i've added some extra information / moved things as you suggest and will wrap up the rest tomorrow :) hi @yjernite and @lhoestq, i've fleshed out the dataset card and think this is now ready for another round of review!
Hello datasetters 🙂!

Here's an interesting dataset about extractive question-answering on _subjective_ product / restaurant reviews. It's quite challenging for models fine-tuned on SQuAD and provides a nice example of domain adaptation (i.e. fine-tuning a SQuAD model on this domain gives better performance).

I found a bug in the start/end indices that I've proposed a fix for here: https://github.com/megagonlabs/SubjQA/pull/2

Unfortunately, the dataset creators are unresponsive, so for now I am using my fork as the source. Will update the URL if/when the creators respond.
{'url': 'https://api.github.com/repos/huggingface/datasets/issues/2302/reactions', 'total_count': 1, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 1, 'rocket': 0, 'eyes': 0}
{'url': 'https://api.github.com/repos/huggingface/datasets/pulls/2302', 'html_url': 'https://github.com/huggingface/datasets/pull/2302', 'diff_url': 'https://github.com/huggingface/datasets/pull/2302.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/2302.patch', 'merged_at': '2021-05-10T09:21:19Z'}