--- language: - "en" pretty_name: "SWE-MERA" tags: - SWE - SWE-MERA - text-to-text - other - agent license: "mit" task_categories: - other --- # SWE-MERA Continuously updated [SWE-MERA](https://mera-evaluation.github.io/demo-swe-mera/leaderboard) dataset ### SWE-MERA splits: - **dev**: for testing (10 samples) - **lite**: presented at the leaderboard [here](https://mera-evaluation.github.io/demo-swe-mera/leaderboard) (750 samples) - **full**: continuously updated to collect more data (2738 samples) ### Load dataset ```python from datasets import load_dataset ds = load_dataset("MERA-evaluation/SWE-MERA", split='dev') ``` ### Evaluation #### Description The main tool to validate tasks is **repotest** (available at [PyPI](https://pypi.org/project/repositorytest/) or [GitHub](https://github.com/MERA-Evaluation/repotest)) `data.jsonl` - dataset file, where after the agent run, the `patch` column was changed #### Install dependencies ```bash pip install repositorytest ``` #### Run evaluation ```bash swemera --fn_input=data.jsonl --fn_output=submission.jsonl --column_patch=patch --mode=docker ``` If you don't want to use Docker and prefer Conda or local execution: ```bash swemera --fn_input=data.jsonl --fn_output=submission.jsonl --column_patch=patch --mode=local ``` ### Schema | Column Name | Type | Description | Is New Column | |--------------------------|----------------|--------------------------------------------------------------------------------------------|--------------| | repo | VARCHAR | Repository name (e.g., GitHub repository) | False | | instance_id | VARCHAR | Unique identifier for task: f"{repo.replace('/', '__') + '_' + pr_number}" | False | | base_commit | VARCHAR | Commit hash of the base code before patch applied | False | | patch | VARCHAR | Code patch or diff applied to the base_commit to be the correct solution | False | | test_patch | VARCHAR | Patch for test code, if separate from main code patch | False | | problem_statement | VARCHAR | Description or statement of the problem to solve | False | | hint_text | VARCHAR | Hints or tips for solving the problem from GitHub issue comments | False | | created_at | VARCHAR | Date when the instance was created | False | | closed_at | VARCHAR | Date when the instance was closed or resolved | True | | version | VARCHAR | Version identifier for the instance or dataset | False | | FAIL_TO_PASS | LIST[VARCHAR] | Test cases which were failing but later passed | False | | PASS_TO_PASS | LIST[VARCHAR] | Test cases which passed at all times | False | | environment_setup_commit | VARCHAR | Commit hash for environment setup configuration | False | | command_build | VARCHAR | Command used to build the repo | True | | command_test | VARCHAR | Command used to run the tests inside repo | True | | image_name | VARCHAR | Docker or container image name used for testing environment | True | | command_test_small | VARCHAR | Command to run a smaller subset of tests | True | | timeout_build | INTEGER | Timeout limit in seconds for build command | True | | timeout_test | INTEGER | Timeout limit in seconds for test command | True | | meta | DICT[STR,ANY] | Additional metadata about the instance* | *meta field description: ```json { "score": { "task_correctness": "INTEGER", "test_correctness": "INTEGER", "complexity": "INTEGER", "test_completeness": "INTEGER" }, "type": "VARCHAR", "pr_number": "INTEGER", "issue_number": "INTEGER", "merged_at": "VARCHAR", "tag": "VARCHAR // Information on how data was collected", "merge_commit": "VARCHAR", "task_id": "VARCHAR // Latency identifier of the task", "url": { "issue": "VARCHAR", "pr": "VARCHAR", "diff": "VARCHAR" }, "command_test_small": "VARCHAR // Command to run only a small number of tests" } ``` ### Dev tasks Examples ### Instances | Instance ID | Short Title | |------------------------ |---------------------------------------------------------------------------------------------------------------------------------------| | reframe-0 | Performance threshold goes to -inf when it should be zero. | | pyflakes-1 | Walrus operator + annotation can cause F821 | | sqlglot-2 | MySQL dialect fails to parse PRIMARY KEY USING BTREE syntax | | matchms-3 | matchms fails when reading spectra where abundance is in scientific notation #809 | | guarddog-4 | Add Mach-O magic bytes to bundled binary detector #523 | | pdoc-5 | Include HTML headers in ToC | | QCElemental-6 | QCElemental allows floating point numbers for molecular charges, however when computing the spin with the fractional electron there is no way to represent the molecular multiplicity with just an integer. | | sqlglot-7 | TSQL: PRIMARY KEY constraint fails to parse if | | sqlglot-8 | [BUG] Conversion from SQL Server's DATEADD(quarter...) to PostgreSQL not working properly | | python-markdownify-9 | Inline Quotation element ignored |