Ba2han/Reddit-instruct-curated_rated-1.2k

---
license: mit
language:
- en
size_categories:
- 1K<n<10K
---

This is an LLM rated version of **euclaise/reddit-instruct-curated**, which is already a good dataset imo.

Only **post titles** and **comment texts** were rated as post texts can be confusing due to edits and seemingly out of context information.

First, **I filtered examples with <250 comment score**. Of course this is not a very efficient filtering as some pairs might have references to other comments or simply be unhelpful, yet upvoted due to Reddit hivemind.

Next I sent the example pairs with a rating prompt to Senku-Q2-XS and collected the numeric votes **(out of 10)**.

Overall there aren't many low rated examples. Here are three "worst" examples:


There are only 66 examples with <6 rate.

An example of highly upvoted but poorly rated pair:


**Let me know if I fucked up anything, I still have no idea what I am doing honestly.**

原始信息汇总

数据集概述

数据集来源

• 该数据集是基于 euclaise/reddit-instruct-curated 的改进版本。

数据内容

• 仅对 帖子标题 和 评论文本 进行了评级，因为帖子文本可能因编辑和上下文信息不明确而造成混淆。

数据筛选

• 首先，过滤了评论评分低于250的示例。
• 然后，将筛选后的示例对发送给 Senku-Q2-XS 进行评级，并收集了 10分制 的数值投票。

数据特点

• 整体上，低评分的示例不多。
• 仅有66个示例的评分低于6分。
• 存在一些高赞但评分低的示例对。

示例

• 提供了三个“最差”示例的图像链接。
• 提供了一个高赞但评分低的示例对的图像链接。