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README.md

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+---
+annotations_creators:
+- machine-generated
+language:
+- en
+language_creators:
+- machine-generated
+- expert-generated
+license:
+- mit
+multilinguality:
+- monolingual
+pretty_name: MultiPLE-E
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+- extended|openai_humaneval
+tags: []
+task_categories: []
+task_ids: []
+---
+
+# Dataset Card for MultiPL-E
+
+## Dataset Description
+
+- **Homepage:**  https://nuprl.github.io/MultiPL-E/
+- **Repository:**  https://github.com/nuprl/MultiPL-E
+- **Paper:** https://arxiv.org/abs/2208.08227
+- **Point of Contact:** carolyn.anderson@wellesley.edu, mfeldman@oberlin.edu, a.guha@northeastern.edu
+
+## Dataset Summary
+
+MultiPL-E is a dataset for evaluating large language models for code
+generation that supports 18 programming languages. It takes the OpenAI 
+"HumanEval" Python benchmarks and uses little compilers to translate them 
+to other languages. It is easy to add support for new languages and benchmarks.
+
+[More Information Needed]
+