unit test
waifuc_unittestUnittest files for deepghs/waifuc.
Methods2Test_java_unit_test_code
Dataset Description
Microsoft created this large dataset of Java Junit test cases with its corresponding focal methods.
It contains 780k pairs of JUnit test cases and focal methods which were extracted from a total of 91K
Java open source project hosted on GitHub.
The mapping between test case and focal methods are based heuristics rules and Java developer's best practice.
More information could be found here:
methods2test Github repo
Methods2Test: A dataset of focal methods… See the full description on the dataset page: https://huggingface.co/datasets/jitx/Methods2Test_java_unit_test_code.fashion_mnist_unit
Attribution
This dataset is a subset of the original dataset created by Zalando SE.
Original source:
https://github.com/zalandoresearch/fashion-mnist
Copyright © 2017 Zalando SE
Licensed under the MIT License.
The MIT License (MIT) Copyright © [2017] Zalando SE, https://tech.zalando.com
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction… See the full description on the dataset page: https://huggingface.co/datasets/quanda-bench-test/fashion_mnist_unit.python-unit-test-training-pool
Python unit test training pool
A pool of public data for training a model to write tests for Python code. It is a
straight collection of open datasets, not a new corpus: every row comes from one of the
sources below, at the revision named, and the only rows removed are the ones an overlap
filter flagged against held-out material this pool is kept separate from.
Every row of the normalised layer pairs a program with tests for it. That is the point of
the pool, and it is why the… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/python-unit-test-training-pool.UnitTests
UnitTests
Task description
Evaluation of unit-test generation for functions and methods in five programming languages (Java, Python, Go, JavaScript, and C#). Dataset contains 2500 tasks.
Evaluated skills: Instruction Following, Long Context Comprehension, Synthesis, Testing
Contributors: Alena Pestova, Valentin Malykh
Motivation
Unit testing is an important software development practice in which individual components of a software system are evaluated in… See the full description on the dataset page: https://huggingface.co/datasets/MERA-evaluation/UnitTests.CodeRM-UnitTest
Dataset Description
CodeRM-UnitTest dataset originates from the paper: Dynamic Scaling of Unit Tests for Code Reward Modeling available on arXiv.
You can visit the homepage to learn more about the paper.
It is a curated collection of high-quality synthetic Python unit tests, derived from two prominent code instruction tuning
datasets: CodeFeedback-Filtered-Instruction and the training
set of TACO. This dataset is used for training
CodeRM-8B, a small yet powerful unit test… See the full description on the dataset page: https://huggingface.co/datasets/KAKA22/CodeRM-UnitTest.