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README.md

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 # Dataset Card for "JMultiP-E"
 
+## Dataset Description
+
+- **Repository:**  https://github.com/tohoku-nlp/JMultiPL-E
+<!-- - **Paper:** https://ieeexplore.ieee.org/abstract/document/10103177 -->
+<!-- - **Point of Contact:** carolyn.anderson@wellesley.edu, mfeldman@oberlin.edu, a.guha@northeastern.edu -->
+
+## Dataset Summary
+
+JMultiPL-E is a dataset for evaluating large language models for code
+generation that supports 17 programming languages. It takes the OpenAI 
+HumanEval and uses little compilers to translate them  to other languages. It is easy to add support for new languages 
+and benchmarks.
+
+The dataset is divided into several configurations named *SRCDATA-LANG*, where
+*SRCDATA* is either "humaneval" and *LANG* is one of the supported
+languages. We use the canonical file extension for each language to identify
+the language, e.g., "cpp" for C++, "lua" for Lua, "clj" for Clojure, and so on.
+
+## Using JMultiPL-E
+
+- JMultiPL-E is part of the [BigCode Code Generation LM Harness]. This
+  is the easiest way to use JMultiPL-E.
+
+
 [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)