--- 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-* - split: generate path: data/fm+t/generate-* - 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-* - split: generate path: data/fm+fc+t+tc/generate-* - 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-* - split: generate path: data/fm+fc+c+t+tc/generate-* - 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-* - split: generate path: data/fm+fc+c+m+t+tc/generate-* - 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-* - split: generate path: data/fm+fc+c+m+f+t+tc/generate-* - config_name: t data_files: - split: train path: data/t/train-* - split: test path: data/t/test-* - split: validation path: data/t/validation-* - split: generate path: data/t/generate-* - 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-* - split: generate path: data/t_indented/generate-* - 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-* - split: generate path: data/t+tc/generate-* 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: text dtype: string splits: - name: train num_bytes: 18218367 num_examples: 7440 - name: test num_bytes: 2454151 num_examples: 1017 - name: validation num_bytes: 2502379 num_examples: 953 - name: generate num_bytes: 1915177 num_examples: 1017 download_size: 8717371 dataset_size: 25090074 - config_name: fm+fc+c+m+t+tc features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 17426149 num_examples: 7440 - name: test num_bytes: 2350513 num_examples: 1017 - name: validation num_bytes: 2401021 num_examples: 953 - name: generate num_bytes: 1811539 num_examples: 1017 download_size: 8624984 dataset_size: 23989222 - config_name: fm+fc+c+t+tc features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 11402350 num_examples: 7440 - name: test num_bytes: 1560617 num_examples: 1017 - name: validation num_bytes: 1672213 num_examples: 953 - name: generate num_bytes: 1021643 num_examples: 1017 download_size: 6175964 dataset_size: 15656823 - config_name: fm+fc+t+tc features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 10882600 num_examples: 7440 - name: test num_bytes: 1478517 num_examples: 1017 - name: validation num_bytes: 1604939 num_examples: 953 - name: generate num_bytes: 939543 num_examples: 1017 download_size: 5926176 dataset_size: 14905599 - config_name: fm+t features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 8859676 num_examples: 7440 - name: test num_bytes: 1203645 num_examples: 1017 - name: validation num_bytes: 1332986 num_examples: 953 - name: generate num_bytes: 702248 num_examples: 1017 download_size: 5065578 dataset_size: 12098555 - 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: text dtype: string splits: - name: train num_bytes: 4286329 num_examples: 7440 - name: test num_bytes: 578148 num_examples: 1017 - name: validation num_bytes: 685835 num_examples: 953 - name: generate num_bytes: 76751 num_examples: 1017 download_size: 2483161 dataset_size: 5627063 - config_name: t+tc features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 5618561 num_examples: 7440 - name: test num_bytes: 757318 num_examples: 1017 - name: validation num_bytes: 863538 num_examples: 953 - name: generate num_bytes: 218344 num_examples: 1017 download_size: 3052841 dataset_size: 7457761 - config_name: t_indented features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 4576493 num_examples: 7440 - name: test num_bytes: 619508 num_examples: 1017 - name: validation num_bytes: 730409 num_examples: 953 - name: generate num_bytes: 83585 num_examples: 1017 download_size: 2503838 dataset_size: 6009995 tags: - unit test - java - code --- ## Dataset Description Microsoft created the methods2test dataset, consisting 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. This is 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 are based heuristics rules and Java developer's best practice. More information could 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+fc: fm+fc+c: fm+fc+c+m: fm+fc+c+m+f: ``` ## 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 representations 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 which 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. ![image/png](https://huggingface.co/datasets/andstor/methods2test/resolve/main/figure-1-focal-context.png) The different levels of focal contexts are the following: ``` T: test case t+tc: test case + test class name 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 ``` ## Limitations The original authors validate the heuristics by inspecting a statistically significant sample (confidence level of 95% within 10% margin of error) of 97 samples from the training set. Two authors independently evaluated the sample, then met to discuss the disagreements. We found that 90.72% of the samples have a correct link between the test case and the corresponding focal method ## Contribution All thanks to the original authors.