Weyaxi/HelpSteer-filtered

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license: cc-by-4.0
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# HelpSteer-filtered

This dataset is a highly filtered version of the [nvidia/HelpSteer](https://huggingface.co/datasets/nvidia/HelpSteer) dataset.

# ❓ How this dataset was filtered:

1. I calculated the sum of the columns `["helpfulness," "correctness," "coherence," "complexity," "verbosity"]` and created a new column named `sum`.

2. I changed some column names and added a **empty column** to match the Alpaca format.

3. The dataset was then filtered to include only those entries with a sum greater than or equal to 16.

# 🧐 More Information

You can find more information about the unfiltered dataset here:

- [nvidia/HelpSteer](https://huggingface.co/datasets/nvidia/HelpSteer)

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许可证：CC BY 4.0
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# 经筛选的HelpSteer数据集
本数据集是[nvidia/HelpSteer](https://huggingface.co/datasets/nvidia/HelpSteer) 数据集的高度筛选版本。

# ❓ 本数据集的筛选流程：
1. 对`["helpfulness", "correctness", "coherence", "complexity", "verbosity"]`列的数值进行求和，并创建名为`sum`的新列。
2. 修改了部分列名，并新增**空列**以适配Alpaca格式。
3. 随后对数据集进行筛选，仅保留`sum`值大于或等于16的条目。

# 🧐 更多信息
您可通过以下链接获取未筛选原始数据集的详细信息：
- [nvidia/HelpSteer](https://huggingface.co/datasets/nvidia/HelpSteer)

原始信息汇总

HelpSteer-filtered

数据集概述

• 原始数据集：nvidia/HelpSteer
• 版本：高度过滤版本

过滤过程

1. 计算总和：计算列 ["helpfulness," "correctness," "coherence," "complexity," "verbosity"] 的总和，并创建新列 sum。
2. 列名修改：修改部分列名，并添加一个空列以匹配 Alpaca 格式。
3. 数据过滤：仅保留总和大于或等于 16 的条目。