quest
Datasets
All datasets matching “quest”natural_questions
Dataset Card for Natural Questions
Dataset Summary
The NQ corpus contains questions from real users, and it requires QA systems to
read and comprehend an entire Wikipedia article that may or may not contain the
answer to the question. The inclusion of real user questions, and the
requirement that solutions should read an entire page to find the answer, cause
NQ to be a more realistic and challenging task than prior QA datasets.
Supported Tasks and Leaderboards… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/natural_questions.hle-public-questionsQueST-PartNetMobility-SAPIEN
QueST: PartNet-Mobility SAPIEN Simulation Dataset
This dataset accompanies the paper:
QueST: Persistent Queries as Semantic Monitors for Drift Suppression in Long-Horizon TrackingMayank Anand, Mohammad Saqlain, Kyan Mahajan, Priya Shukla, G.C Nandi, Andrew MelnikCAO Workshop at ICLR 2026
What Is This Dataset?
Synchronized RGB-D simulation sequences rendered in SAPIEN from PartNet-Mobility articulated objects, designed to stress-test long-horizon point… See the full description on the dataset page: https://huggingface.co/datasets/AnandMayank/QueST-PartNetMobility-SAPIEN.web_questions
Dataset Card for "web_questions"
Dataset Summary
This dataset consists of 6,642 question/answer pairs.
The questions are supposed to be answerable by Freebase, a large knowledge graph.
The questions are mostly centered around a single named entity.
The questions are popular ones asked on the web (at least in 2013).
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure
Data… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/web_questions.ga420-adobe-baselines-questnatural-questions
Dataset Card for Natural Questions
This dataset is a collection of question-answer pairs from the Natural Questions dataset. See Natural Questions for additional information.
This dataset can be used directly with Sentence Transformers to train embedding models.
Dataset Subsets
pair subset
Columns: "question", "answer"
Column types: str, str
Examples:{
'query': 'the si unit of the electric field is',
'answer': 'Electric field An electric field is a field… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/natural-questions.