Jigsaw Datasets
The datasets folder contains the two datasets described in our paper -
1.) PandasEval1 - This dataset was collected by authors of the paper and consists of 68 entries
2.) PandasEval2 - This dataset was collected in the form of a hackathon user study across two sessions differentiating tasks. Each task contains multiple sets with minor variations such as scalar/constant differences. Some tasks might have semantically different sets. It comprises of 21 unique tasks, and for every task at most 5 variations/sets. For each set there are multiple natural language variations leading to a total of 725 entries.
Both of these jsons follow the structure as described below.
- The outermost level contains key-value pairs with the unique task id.
- For each task, we have key-value pairs for the various sets in the task.
- For each set, we have
- a list of queries along with user-ids who wrote those queries
- one or more io examples. Each io example is a dict containing
- code snippet for inputs
- code snippet for output
- corresponding names for inputs and outputs
- one or more correct solutions
In case you find this work useful, please cite it as
@inproceedings{Jigsaw,
author = {Jain, Naman and Vaidyanath, Skanda and Iyer, Arun and Natarajan, Nagarajan and Parthasarathy, Suresh and Rajamani, Sriram and Sharma, Rahul},
title = {Jigsaw: Large Language Models meet Program Synthesis},
booktitle = {ICSE 2022},
location = {Pittsburgh, Pennsylvania},
}