Omkar2118/datasets huggingface dataset:
CVRPTW

Random sampled instances of the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) for 20, 50 and 100 customer nodes.

* Coordinates sampled from unit square
* demands sampled as integers from range [1, 9]
* time windows sampled with: 
    - ready times (TW start) as random integers in time horizon T
    -  due times (TW end) sampled from Normal distribution

The dataset is used as a validation and test set to evaluate machine learning based solvers for the CVRPTW. 
The corresponding open source sample code can be used to sample corresponding training data  or additional validation and test data, also for other problem sizes.

Introducing paper: Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention
QA2D
Full name: Question to Declarative Sentence (QA2D) Dataset

The Question to Declarative Sentence (QA2D) Dataset contains 86k question-answer pairs and their manual transformation into declarative sentences. 95% of question answer pairs come from SQuAD (Rajkupar et al., 2016) and the remaining 5% come from four other question answering datasets.

Introducing paper: Transforming Question Answering Datasets Into Natural Language Inference Datasets