---
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

```python
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")
```