--- language: - en license: mit task_categories: - text-generation configs: - config_name: fm data_files: - split: train path: data/fm/train-* - split: test path: data/fm/test-* - split: validation path: data/fm/validation-* - config_name: fm_indented data_files: - split: train path: data/fm_indented/train-* - split: test path: data/fm_indented/test-* - split: validation path: data/fm_indented/validation-* - config_name: fm+t data_files: - split: train path: data/fm+t/train-* - split: test path: data/fm+t/test-* - split: validation path: data/fm+t/validation-* - config_name: fm+fc data_files: - split: train path: data/fm+fc/train-* - split: test path: data/fm+fc/test-* - split: validation path: data/fm+fc/validation-* - config_name: fm+fc+t+tc data_files: - split: train path: data/fm+fc+t+tc/train-* - split: test path: data/fm+fc+t+tc/test-* - split: validation path: data/fm+fc+t+tc/validation-* - config_name: fm+fc+c data_files: - split: train path: data/fm+fc+c/train-* - split: test path: data/fm+fc+c/test-* - split: validation path: data/fm+fc+c/validation-* - config_name: fm+fc+c+t+tc data_files: - split: train path: data/fm+fc+c+t+tc/train-* - split: test path: data/fm+fc+c+t+tc/test-* - split: validation path: data/fm+fc+c+t+tc/validation-* - config_name: fm+fc+c+m data_files: - split: train path: data/fm+fc+c+m/train-* - split: test path: data/fm+fc+c+m/test-* - split: validation path: data/fm+fc+c+m/validation-* - config_name: fm+fc+c+m+t+tc data_files: - split: train path: data/fm+fc+c+m+t+tc/train-* - split: test path: data/fm+fc+c+m+t+tc/test-* - split: validation path: data/fm+fc+c+m+t+tc/validation-* - config_name: fm+fc+c+m+f data_files: - split: train path: data/fm+fc+c+m+f/train-* - split: test path: data/fm+fc+c+m+f/test-* - split: validation path: data/fm+fc+c+m+f/validation-* - config_name: fm+fc+c+m+f+t+tc data_files: - split: train path: data/fm+fc+c+m+f+t+tc/train-* - split: test path: data/fm+fc+c+m+f+t+tc/test-* - split: validation path: data/fm+fc+c+m+f+t+tc/validation-* - config_name: t data_files: - split: train path: data/t/train-* - split: test path: data/t/test-* - split: validation path: data/t/validation-* - config_name: t_indented data_files: - split: train path: data/t_indented/train-* - split: test path: data/t_indented/test-* - split: validation path: data/t_indented/validation-* - config_name: t+tc data_files: - split: train path: data/t+tc/train-* - split: test path: data/t+tc/test-* - split: validation path: data/t+tc/validation-* dataset_info: - config_name: fm features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 4696431 num_examples: 7440 - name: test num_bytes: 642347 num_examples: 1017 - name: validation num_bytes: 662917 num_examples: 953 download_size: 2633268 dataset_size: 6001695 - config_name: fm+fc features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 5387123 num_examples: 7440 - name: test num_bytes: 738049 num_examples: 1017 - name: validation num_bytes: 757167 num_examples: 953 download_size: 2925807 dataset_size: 6882339 - config_name: fm+fc+c features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 5906873 num_examples: 7440 - name: test num_bytes: 820149 num_examples: 1017 - name: validation num_bytes: 824441 num_examples: 953 download_size: 3170873 dataset_size: 7551463 - config_name: fm+fc+c+m features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 11930672 num_examples: 7440 - name: test num_bytes: 1610045 num_examples: 1017 - name: validation num_bytes: 1553249 num_examples: 953 download_size: 5406454 dataset_size: 15093966 - config_name: fm+fc+c+m+f features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 12722890 num_examples: 7440 - name: test num_bytes: 1713683 num_examples: 1017 - name: validation num_bytes: 1654607 num_examples: 953 download_size: 5753116 dataset_size: 16091180 - config_name: fm+fc+c+m+f+t+tc features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 18332635 num_examples: 7440 - name: test num_bytes: 2461169 num_examples: 1017 - name: validation num_bytes: 2510969 num_examples: 953 download_size: 8280985 dataset_size: 23304773 - config_name: fm+fc+c+m+t+tc features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 17537661 num_examples: 7440 - name: test num_bytes: 2357359 num_examples: 1017 - name: validation num_bytes: 2409506 num_examples: 953 download_size: 8178222 dataset_size: 22304526 - config_name: fm+fc+c+t+tc features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 11445562 num_examples: 7440 - name: test num_bytes: 1565365 num_examples: 1017 - name: validation num_bytes: 1676986 num_examples: 953 download_size: 5944482 dataset_size: 14687913 - config_name: fm+fc+t+tc features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 10923038 num_examples: 7440 - name: test num_bytes: 1483265 num_examples: 1017 - name: validation num_bytes: 1609296 num_examples: 953 download_size: 5715335 dataset_size: 14015599 - config_name: fm+t features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 8889443 num_examples: 7440 - name: test num_bytes: 1207763 num_examples: 1017 - name: validation num_bytes: 1336798 num_examples: 953 download_size: 4898458 dataset_size: 11434004 - config_name: fm_indented features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 5054397 num_examples: 7440 - name: test num_bytes: 692948 num_examples: 1017 - name: validation num_bytes: 714462 num_examples: 953 download_size: 2703115 dataset_size: 6461807 - config_name: t features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 4316096 num_examples: 7440 - name: test num_bytes: 582266 num_examples: 1017 - name: validation num_bytes: 689647 num_examples: 953 download_size: 2434024 dataset_size: 5588009 - config_name: t+tc features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 5648321 num_examples: 7440 - name: test num_bytes: 761386 num_examples: 1017 - name: validation num_bytes: 867350 num_examples: 953 download_size: 3024686 dataset_size: 7277057 - config_name: t_indented features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 4606253 num_examples: 7440 - name: test num_bytes: 623576 num_examples: 1017 - name: validation num_bytes: 734221 num_examples: 953 download_size: 2496661 dataset_size: 5964050 tags: - unit test - java - code --- ## Dataset Description Microsoft created the methods2test dataset, consisting of Java Junit test cases with their 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 projects hosted on GitHub. This is a smaller subset of the assembled version of the methods2test dataset. It provides convenient access to the different context levels based on the raw source code (e.g. newlines are preserved). The test cases and associated classes are also made available. The subset is created by randomly selecting only one sample from each of the 91k projects. The mapping between test case and focal methods is based on heuristics rules and Java developer's best practice. More information can be found here: - [methods2test Github repo](https://github.com/microsoft/methods2test) - [Methods2Test: A dataset of focal methods mapped to test cases](https://arxiv.org/pdf/2203.12776.pdf) ## Dataset Schema ``` t: t+tc: fm: fm+t: fm+fc: fm+fc: fm+fc+c: fm+fc+c: fm+fc+c+m: fm+fc+c+m: fm+fc+c+m+f: fm+fc+c+m+f+t+tc: ``` ## Focal Context - fm: this representation incorporates exclusively the source code of the focal method. Intuitively, this contains the most important information for generating accurate test cases for the given method. - fm+fc: this representation adds the focal class name, which can provide meaningful semantic information to the model. - fm+fc+c: this representation adds the signatures of the constructor methods of the focal class. The idea behind this augmentation is that the test case may require instantiating an object of the focal class in order to properly test the focal method. - fm+fc+c+m: this representation adds the signatures of the other public methods in the focal class. The rationale that motivated this inclusion is that the test case may need to invoke other auxiliary methods within the class (e.g., getters, setters) to set up or tear down the testing environment. - fm+fc+c+m+f: this representation adds the public fields of the focal class. The motivation is that test cases may need to inspect the status of the public fields to properly test a focal method. The test case along with the class name is also provided for each focal context. ![image/pdf](https://huggingface.co/datasets/fals3/methods2test/resolve/main/focal_context.png) The different levels of focal contexts are the following: ``` fm: focal method fm+fc: focal method + focal class name fm+fc+c: focal method + focal class name + constructor signatures fm+fc+c+m: focal method + focal class name + constructor signatures + public method signatures fm+fc+c+m+f: focal method + focal class name + constructor signatures + public method signatures + public fields ```