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| license: apache-2.0 | |
| language: | |
| - code | |
| task_categories: | |
| - text-generation | |
| # LeetCode multilingual benchmark dataset | |
| LeetCode problems for the msl-multilingual-self-learning benchmark, flattened to | |
| one row per (problem, language) in 9 languages, stored as `data/<split>/<lang>-NNN.jsonl`. | |
| Each row has the `interface` for its `language` (from LeetCode's code snippets), | |
| the shared `canonical_tests` (Python asserts from newfacade/LeetCodeDataset), | |
| the `problem_description` (from the LeetCode page) and `metadata`. | |
| Tests that break the problem's Constraints, do not fit a declared type in some | |
| language, or expect inf/nan were removed; problems that take trees or linked | |
| lists, modify their input in place, or kept fewer than 10 tests were dropped. | |
| The test split also drops problems with several valid answers or whose text | |
| refers to a figure. Where answers may come in any order or are decimals, | |
| the asserts call `answers_match` (defined at the top of the test source), and | |
| `canonical_tests.comparison` says which rule applies ("unordered", "float" or "exact"). | |
| `public_tests` holds the inputs of LeetCode's Testcase panel (one string per | |
| case, one JSON value per line in parameter order; LeetCode publishes no | |
| outputs), and `hints` the page's hints as plain text. | |
| `reports/dropped.md` lists every dropped problem and test count, and | |
| `reports/<split>.json` has the details. | |
| ## Splits | |
| - `train`: 2103 problems x 9 languages = 18927 rows (2641 in the source dataset) | |
| - `test`: 191 problems x 9 languages = 1719 rows (228 in the source dataset) | |
| ## Load | |
| ```python | |
| from datasets import load_dataset | |
| train = load_dataset("neulab/leetcode", split="train") | |
| test = load_dataset("neulab/leetcode", split="test") | |
| python_rows = test.filter(lambda r: r["language"] == "python") | |
| ``` | |