Unknown definition of "qid" and "type" in annotations

[shinying]

Hi,

Thanks for the contribution of the dataset. I'm wondering if you can provide more details about each entry of the annotations, especially for "qid" and "type". Specifically, I assume "qid" identifies only one sample but found it ranging from 0 to 18. I guess "type" indicates the type of a question, for example "CW" for "Causal-Why", but there is no data of type "DB" for "Descriptive-Binary" and I don't know what "TC" means.

If I miss any web page or dataset description, please just direct me there. Thank you.

[doc-doc]

Hi, thanks for the interest. `qid' gives the question id within a video. So video_qid identifies a sample of the whole dataset. There is no binary question in the multi-choice annotations. You can find it in the NExT-OE repo. 'TC' means temporal questions of co-occurrent actions/activities, such as 'what is the kid doing when/while/as the dog is barking? Eating.'

[shinying]

Thanks for your prompt reply!

[fake-warrior8]

Hi, thanks for the interest. qid' gives the question id within a video. So video_qid identifies a sample of the whole dataset. There is no binary question in the multi-choice annotations. You can find it in the NExT-OE repo. 'TC' means temporal questions of co-occurrent actions/activities, such as 'what is the kid doingwhen/while/as` the dog is barking? Eating.'

Hi, there are 8 types of questions, ['DC', 'CW', 'CH', 'TN', 'TC', 'DL', 'DO', 'TP'], what do they mean respectively? Are these 3 ACCs the accent types starting with D/C/T respectively?

[doc-doc]

Yes.

[fake-warrior8]

Yes.

Thank you. And there are 8 types of questions, ['DC', 'CW', 'CH', 'TN', 'TC', 'DL', 'DO', 'TP'], what do they mean respectively?

[doc-doc]

Hi, please refer to the evaluation file eval_mc.py..