nasa-impact/nasa-science-code-benchmark-v0.1.1

NASA Code Retrieval Benchmark v0.1.1

This repository is an updated version of the NASA Code Retrieval Benchmark. It provides a code retrieval benchmark based on code from 7 programming languages sourced from NASA's GitHub repositories.

What's New in v0.1.1?

v0.1.1 introduces a hierarchical structure and official Hugging Face dataset configurations. This allows you to evaluate models specifically by language or by query category without data redundancy in the file system.

---

Dataset Structure

The ground-truth relationships (qrels) are organized into two primary configurations:

nasa-science-code-benchmark-v0.1.1/
├── corpus.jsonl
├── queries.jsonl
└── qrels/
    ├── division/                 # Evaluation by NASA Science Division
    │   ├── astrophysics_division.tsv
    │   ├── biological_and_physical_sciences_division.tsv
    │   ├── earth_science_division.tsv
    │   ├── heliophysics_division.tsv
    │   ├── planetary_science_division.tsv
    │   └── not_a_nasa_division.tsv
    ├── programming_language/     # Evaluation by language
    │   ├── c++.tsv
    │   ├── c.tsv
    │   ├── fortran.tsv
    │   ├── java.tsv
    │   ├── javascript.tsv
    │   ├── matlab.tsv
    │   └── python.tsv
    └── query_type/               # Evaluation by query intent
        ├── nasa_science_class_code_docstring_heldout.tsv
        ├── nasa_science_class_code_identifier_heldout.tsv
        ├── nasa_science_function_code_docstring_heldout.tsv
        └── nasa_science_function_code_identifier_heldout.tsv

How to Use

1. Load by Programming Language

Use this to evaluate model performance on specific languages.

from datasets import load_dataset

ds = load_dataset(
    "nasa-impact/nasa-science-code-benchmark-v0.1.1", 
    name="programming_language"
)

2. Load by Query Type

Use this to evaluate performance based on the nature of the query (e.g., nasa_science_class_code_docstring_heldout, nasa_science_class_code_identifier_heldout).

from datasets import load_dataset

ds = load_dataset(
    "nasa-impact/nasa-science-code-benchmark-v0.1.1", 
    name="query_type"
)

3. Load by Division

Use this to evaluate performance based on the nasa division (e.g., astrophysics_division, biological_and_physical_sciences_division).

from datasets import load_dataset

ds = load_dataset(
    "nasa-impact/nasa-science-code-benchmark-v0.1.1", 
    name="division"
)

---

Evaluation Categories

Programming Languages

File	Language
python.tsv	Python
c.tsv	C
c++.tsv	C++
java.tsv	Java
javascript.tsv	JavaScript
fortran.tsv	Fortran
matlab.tsv	Matlab

Query Types

File	Description
nasa_science_function_code_docstring_heldout.tsv	Query is a function's documentation/comment.
nasa_science_function_code_identifier_heldout.tsv	Query is the specific function name.
nasa_science_class_code_docstring_heldout.tsv	Query is a class's documentation/comment.
nasa_science_class_code_identifier_heldout.tsv	Query is the specific class name.