Dataset Card for MCoNaLa

Dataset Summary

MCoNaLa is a Multilingual Code/Natural Language Challenge dataset with 896 NL-Code pairs in three languages: Spanish, Japanese, and Russian.

Languages

Spanish, Japanese, Russian; Python

Dataset Structure

How to Use

from datasets import load_dataset

# Spanish subset
load_dataset("neulab/mconala", "es")
DatasetDict({
    test: Dataset({
        features: ['question_id', 'intent', 'rewritten_intent', 'snippet'],
        num_rows: 341
    })
})

# Japanese subset
load_dataset("neulab/mconala", "ja")
DatasetDict({
    test: Dataset({
        features: ['question_id', 'intent', 'rewritten_intent', 'snippet'],
        num_rows: 210
    })
})

# Russian subset
load_dataset("neulab/mconala", "ru")
DatasetDict({
    test: Dataset({
        features: ['question_id', 'intent', 'rewritten_intent', 'snippet'],
        num_rows: 345
    })
})

Data Fields

Data Splits

The dataset contains 341, 210, and 345 samples in Spanish, Japanese, and Russian.

Citation Information

@article{wang2022mconala,
  title={MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages},
  author={Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig},
  journal={arXiv preprint arXiv:2203.08388},
  year={2022}
}