Call-for-Code-for-Racial-Justice / Call-for-Code-for-Racial-Justice/TakeTwo-DataScience

Culturally Sensitive ML Models

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#22 2 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視
design-thinking Machine Learning stale
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

開啟貢獻指南

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

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