Omkar2118/datasets huggingface dataset:
ScanQA
Full name: ScanQA: 3D Question Answering for Spatial Scene Understanding

We collected 41,363 questions and 58,191 answers, in-
cluding 32,337 unique questions and 16,999 unique an-
swers. Table 2 presents the statistics of the ScanQA
dataset. This dataset is an order of magnitude larger than
existing embodied question-answering datasets in terms of
both question size and variation. For example, the EQA
dataset contains 4,246 questions, consisting of 147
unique questions in its training set. The EQA-MP3D
dataset contains 767 questions consisting of 174 unique
questions in its training set. Considering that our dataset
contains not only question–answer pairs but also 3D object
localization annotations, we assume that this is the largest
dataset to specify the nature of objects in 3D scenes with the
question answering form. The distribution of the questions
based on their first word. We collected
various types of questions through question auto-generation
and editing by humans.

Introducing paper: ScanQA: 3D Question Answering for Spatial Scene Understanding