README.md

metadata

pretty_name: EvalEng
language:
  - en
license: mit
task_categories:
  - text-classification
  - token-classification
  - summarization
task_ids:
  - multi-class-classification
  - multi-label-classification
tags:
  - software-engineering
  - evaluation-harness
  - github-issues
  - issue-classification
  - empirical-software-engineering
  - llm-evaluation
  - benchmark-engineering
  - mlops
  - dataset-mining
  - text
  - tabular
  - arxiv:2605.24213
size_categories:
  - 10K<n<100K
annotations_creators:
  - machine-generated
  - expert-generated
source_datasets:
  - original
homepage: https://github.com/zhimin-z/EvalEng
paperswithcode_id: null
dataset_info:
  features:
    - name: harness_name
      dtype: string
    - name: github_repo
      dtype: string
    - name: issue_title
      dtype: string
    - name: issue_body
      dtype: string
    - name: issue_url
      dtype: string
    - name: issue_created_at
      dtype: int64
    - name: issue_closed_at
      dtype: int64
    - name: is_related
      dtype: float64
    - name: stage
      dtype: float64
    - name: step
      dtype: string
    - name: strategy
      dtype: float64
    - name: root_cause_label
      dtype: string
    - name: issue_comments
      sequence: string
    - name: issue_labels
      sequence: string
    - name: issue_cross_referenced
      sequence: string
configs:
  - config_name: default
    data_files:
      - split: train
        path: train.jsonl
viewer: true

EvalEng Dataset

GitHub issues collected from 57 ML evaluation harnesses, annotated with workflow stage, root cause, and evaluation strategy labels.

Dataset Details

• Paper: Towards Evaluation Engineering
• Repository: https://github.com/zhimin-z/EvalEng
• License: MIT

Fields

Field	Type	Description
harness_name	string	Name of the ML evaluation harness
github_repo	string	GitHub repository (owner/repo)
issue_title	string	Issue title
issue_body	string	Issue body text
issue_url	string	Direct URL to the GitHub issue
issue_created_at	int64	Creation timestamp (ms since epoch)
issue_closed_at	int64	Closed timestamp (ms since epoch)
is_related	float64	Whether the issue is related to evaluation (1.0 = yes)
stage	float64	Workflow stage label (numeric)
step	string	Workflow step label
strategy	float64	Evaluation strategy label (numeric)
root_cause_label	string	Root cause category
issue_comments	list[string]	Issue comment texts
issue_labels	list[string]	GitHub labels on the issue
issue_cross_referenced	list[string]	Cross-referenced issue/PR URLs

Citation

@article{zhao2025evaleng,
      title={Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild}, 
      author={Zhimin Zhao and Zehao Wang and Abdul Ali Bangash and Bram Adams and Ahmed E. Hassan},
      year={2026},
      eprint={2605.24213},
      archivePrefix={arXiv},
      primaryClass={cs.SE},
      url={https://arxiv.org/abs/2605.24213}, 
}