metadata
license: apache-2.0
language:
- code
task_categories:
- text-generation
LeetCode multilingual benchmark dataset
Post-interface rows for the msl-multilingual-self-learning benchmark, flattened to
one row per (problem, language). Each row has the single interface for its
language (python, cpp, go, java, rust, javascript, typescript, php, ruby), plus
the shared canonical_tests (a Python check(candidate) oracle), problem_description,
and metadata. Stored as data/<split>/<lang>-NNN.jsonl (row-boundary shards so
every file stays under HF's ~10 MiB per-file ceiling); HF globs them into a single
split.
Splits
train: 2274 problems x 9 languages (2641 in source; 367 lack complete interfaces).test: 201 problems x 9 languages = 1809 rows (held-out eval).
Load
from datasets import load_dataset
train = load_dataset("neulab/leetcode", split="train") # one Dataset, all rows
test = load_dataset("neulab/leetcode", split="test") # one Dataset, 1809 rows
python_rows = test.filter(lambda r: r["language"] == "python")