--- 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: 440444124 num_examples: 624022 - name: test num_bytes: 59407291 num_examples: 78388 - name: validation num_bytes: 57170315 num_examples: 78534 download_size: 99172217 dataset_size: 557021730 - config_name: fm+fc features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 506130678 num_examples: 624022 - name: test num_bytes: 68407490 num_examples: 78388 - name: validation num_bytes: 65318956 num_examples: 78534 download_size: 109141139 dataset_size: 639857124 - config_name: fm+fc+c features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 569209100 num_examples: 624022 - name: test num_bytes: 75552573 num_examples: 78388 - name: validation num_bytes: 73101169 num_examples: 78534 download_size: 117996353 dataset_size: 717862842 - config_name: fm+fc+c+m features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 1354004338 num_examples: 624022 - name: test num_bytes: 187724929 num_examples: 78388 - name: validation num_bytes: 184349299 num_examples: 78534 download_size: 222922572 dataset_size: 1726078566 - config_name: fm+fc+c+m+f features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 1476073209 num_examples: 624022 - name: test num_bytes: 201686811 num_examples: 78388 - name: validation num_bytes: 201259950 num_examples: 78534 download_size: 240405885 dataset_size: 1879019970 - 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: 2019918359 num_examples: 624022 - name: test num_bytes: 269021331 num_examples: 78388 - name: validation num_bytes: 272958781 num_examples: 78534 download_size: 371500476 dataset_size: 2561898471 - 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: 1897682665 num_examples: 624022 - name: test num_bytes: 255053799 num_examples: 78388 - name: validation num_bytes: 256030595 num_examples: 78534 download_size: 360175965 dataset_size: 2408767059 - 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: 1109827485 num_examples: 624022 - name: test num_bytes: 142558255 num_examples: 78388 - name: validation num_bytes: 144523616 num_examples: 78534 download_size: 251861137 dataset_size: 1396909356 - config_name: fm+fc+t+tc features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 1046592848 num_examples: 624022 - name: test num_bytes: 135403379 num_examples: 78388 - name: validation num_bytes: 136729952 num_examples: 78534 download_size: 243052074 dataset_size: 1318726179 - config_name: fm+t features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 868034154 num_examples: 624022 - name: test num_bytes: 114371187 num_examples: 78388 - name: validation num_bytes: 112688219 num_examples: 78534 download_size: 217267853 dataset_size: 1095093560 - config_name: fm_indented features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 473170158 num_examples: 624022 - name: test num_bytes: 64280367 num_examples: 78388 - name: validation num_bytes: 61093848 num_examples: 78534 download_size: 103174190 dataset_size: 598544373 - config_name: t features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 380207303 num_examples: 624022 - name: test num_bytes: 47993188 num_examples: 78388 - name: validation num_bytes: 49808813 num_examples: 78534 download_size: 113820250 dataset_size: 478009304 - config_name: t+tc features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 550955294 num_examples: 624022 - name: test num_bytes: 68323462 num_examples: 78388 - name: validation num_bytes: 72740770 num_examples: 78534 download_size: 136767271 dataset_size: 692019526 - config_name: t_indented features: - name: id dtype: string - name: source dtype: string - name: target dtype: string splits: - name: train num_bytes: 405853738 num_examples: 624022 - name: test num_bytes: 51457514 num_examples: 78388 - name: validation num_bytes: 52970428 num_examples: 78534 download_size: 117732776 dataset_size: 510281680 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 an 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 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.