For RCQA, a well-known resource is SQuAD (Rajpurkar et al., 2016) with 100K QA data created by human, followed by NarrativeQA (Kočiskỳ et al., 2018), SQuAD 2.0 (Rajpurkar et al., 2018), and CoQA (Reddy et al., 2018).
as these datasets support only English, supporting other languages requires either annotation efforts in a comparable scale (Lim et al., 2018), or modeling efforts to overcome the limitation of training resources in terms of quantity or quality.