Call-for-Code-for-Racial-Justice / Call-for-Code-for-Racial-Justice/TakeTwo-DataScience
Culturally Sensitive ML Models
- 主要語言
- Jupyter Notebook
- 星號
- 8
- 分支
- 8
- PR 合併指標
- 30 天內沒有已合併 PR
描述
### Background on the problem the feature will solve/improved user experience
Determining racist content is in part dependent on cultural context. Words can have different meanings in various languages/regions.
### Describe the solution you'd like
Create ML models that consider the cultural context of
A clear and concise description of what you want to happen.
### Tasks
Description of the development tasks needed to complete this issue, including tests,
### Acceptance Criteria
Standards we believe this issue must reach to be considered complete and ready for a pull request. E.g precisely all the user should be able to do with this update, performance requirements, security requirements, etc as appropriate.
貢獻指南
研究方向
該 issue 沒有列出檔案、測試、資料集或模型入口點。首先檢視 repository 結構和現有 notebook,以確定目前的建模工作流程以及可用的文化或地區標籤。要視為完成,需要有已達成共識的範圍、實作任務、測試和明確的驗收標準,而這些目前都缺少。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- jupyter-notebook, machine-learning
- 領域
- machine-learning
- Issue 類型
- 功能
- 難度
- 5/5
- 預估耗時
- 一週以上
- 活躍度
- 停滯
- 描述清晰度
- 需要釐清
- 新手友好度
- 10/100