# microsoft/CodeXGLUE

CodeXGLUE

Repository: https://github.com/microsoft/CodeXGLUE
Canonical: https://ross.abutalabs.com/products/codexglue
Language: C#
License: MIT
License Family: permissive
Last push: 2024-04-23T06:09:50+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2193, "days_push": 862, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1839, forks 392 (observed 2026-08-28T04:05:42.945596+00:00)

## What it is
CodeXGLUE is a benchmark dataset and open challenge from Microsoft for code intelligence, covering tasks like code search, code completion, and code-to-code translation. It includes a collection of datasets and a platform for evaluating and comparing pre-trained code models such as CodeBERT.

## Use cases
- benchmarking pre-trained models on code understanding tasks
- evaluating code completion models
- comparing code-to-code translation systems
- training models for natural language code search
- researching clone detection and defect detection
- building code summarization models

## When to choose
- you need standardized datasets for code intelligence research
- you want to compare your model against published baselines on code tasks
- you are studying pre-trained models for programming languages

## When to avoid
- you need a production code intelligence tool rather than a benchmark
- your task is outside the covered code intelligence tasks
- you need actively maintained datasets with recent updates

## Facets
- artifact type: dataset
- maturity: maintenance
- function: machine-learning, nlp, search-engine, benchmarking
- domain: machine-learning, developer-tools, programming-languages
- platform: python, cross-platform
- tags: code-intelligence, benchmark, codebert, code-search, code-completion, code-translation, program-synthesis, microsoft-research, natural-language-processing

## Member repositories
- microsoft/CodeXGLUE (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:42.945596+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:18:14.729245+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/CodeXGLUE (fetched 2026-08-28T04:05:42.945596+00:00, sha 25a3029f10e2)
- Data as of 2026-08-30T08:39:29.467469+00:00.