Given a short query with keyphrases about a research idea in 2019 in the domain of artificial intelligence, recommend the relevant datasets to validate the research idea from options provided. A short description of the datasets is also provided to help you.

Query: A system for multimodal probabilistic trajectory prediction.

Keyphrases: trajectory prediction text

Dataset description:
LIDC-IDRI: The LIDC-IDRI dataset contains lesion annotations from four experienced thoracic radiologists. LIDC-IDRI contains 1,018 low-dose lung CTs from 1010 lung patients.
KITTI-trajectory-prediction: KITTI is a well established dataset in the computer vision community. It has often been used for trajectory prediction despite not having a well defined split, generating non comparable baselines in different works.
nuScenes: The nuScenes dataset is a large-scale autonomous driving dataset. The dataset has 3D bounding boxes for 1000 scenes collected in Boston and Singapore.
TrajNet: The TrajNet Challenge represents a large multi-scenario forecasting benchmark. The challenge consists on  predicting 3161 human trajectories, observing for each trajectory 8 consecutive ground-truth values (3.2 seconds) i.e., t−7,t−6,…,t, in world plane coordinates (the so-called world plane Human-Human protocol) and forecasting the following 12 (4.8 seconds), i.e., t+1,…,t+12.

Options:- A: LIDC-IDRI  B: KITTI-trajectory-prediction  C: nuScenes  D: TrajNet
nuScenes