nasa-impact/nasa-science-code-benchmark-v0.1

NASA Code Retrieval Benchmark v0.1

This dataset provides a code retrieval benchmark based on code from 7 programming languages (Python, C, C++, Java, JavaScript, Fortran, and Matlab) sourced from NASA's GitHub repositories. It serves as the held-out test set for evaluating information retrieval models trained on NASA science code. The primary task is to retrieve a relevant code snippet (from the corpus) given a natural language query, which can be a docstring or a code identifier (e.g., function or class name).

Source Data & Training

This benchmark is the official test set corresponding to the following training and validation datasets.

• nasa-impact/nasa-science-function-code-docstring
• nasa-impact/nasa-science-class-code-docstring
• nasa-impact/nasa-science-function-code-identifier
• nasa-impact/nasa-science-class-code-identifier

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Dataset Statistics

• Total unique corpus entries: 117,950
• Total unique query entries: 119,720

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Dataset Structure

The dataset follows a standard Information Retrieval format with three main components: a corpus, a set of queries, and query-relevance judgments (qrels).

Data Fields

• corpus.jsonl: A collection of all unique code snippets (functions and classes) from all languages.

  • _id: A unique string identifier for the code snippet.
  • text: The raw source code.

• queries.jsonl: A collection of all unique queries (docstrings and identifiers).

  • _id: A unique string identifier for the query.
  • text: The natural language query.

• qrels/: A directory containing Tab-Separated Values (TSV) files that map queries to their relevant code snippets. This is the ground truth for evaluation. Each file has the format query-id corpus-id score.

Qrels (Query-Relevance Pairs)

The dataset provides several qrels files to evaluate performance across different programming languages and query types.

By Programming Language

Qrels File	Description	Size
python.tsv	All query-corpus pairs for the Python dataset.	64,110
c.tsv	All query-corpus pairs for the C dataset.	17,149
c++.tsv	All query-corpus pairs for the C++ dataset.	14,975
java.tsv	All query-corpus pairs for the Java dataset.	14,088
javascript.tsv	All query-corpus pairs for the JavaScript dataset.	5,159
fortran.tsv	All query-corpus pairs for the Fortran dataset.	3,586
matlab.tsv	All query-corpus pairs for the Matlab dataset.	653

By Query Type

Qrels File	Description	Size
nasa_science_function_code_docstring_heldout.tsv	Pairs where the query is a function docstring.	61,083
nasa_science_function_code_identifier_heldout.tsv	Pairs where the query is a function name (identifier).	32,742
nasa_science_class_code_docstring_heldout.tsv	Pairs where the query is a class docstring.	13,355
nasa_science_class_code_identifier_heldout.tsv	Pairs where the query is a class name (identifier).	12,540

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