andrewsiah/rewarded-Eurus-RM-7b_s1_e5
收藏Hugging Face2024-05-14 更新2024-06-12 收录
下载链接：
https://hf-mirror.com/datasets/andrewsiah/rewarded-Eurus-RM-7b_s1_e5
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资源简介：
---
dataset_info:
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- name: rformatted_prompt_response_93
dtype: string
- name: rformatted_prompt_response_94
dtype: string
- name: rformatted_prompt_response_95
dtype: string
- name: rformatted_prompt_response_96
dtype: string
- name: rformatted_prompt_response_97
dtype: string
- name: rformatted_prompt_response_98
dtype: string
- name: rformatted_prompt_response_99
dtype: string
- name: rformatted_prompt_response_100
dtype: string
splits:
- name: train
num_bytes: 3503919
num_examples: 4
download_size: 4417558
dataset_size: 3503919
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
This dataset contains a large number of features, including various rewards, responses, embeddings, and formatted prompt responses. These features are likely used for evaluating or training models, but the specific description, purpose, or context of the dataset is not mentioned in the provided README content.
提供机构：
andrewsiah
原始信息汇总
数据集特征概述
数值型特征
- reward_1 至 reward_5: 数据类型为
float64，用于存储奖励相关的数值数据。
字符串型特征
- prompt: 数据类型为
string，用于存储提示信息。 - subset: 数据类型为
string，可能用于标识数据子集。 - rewardbench_chosen 至 rewardbench_rejected_model: 数据类型为
string，用于存储与奖励模型选择和拒绝相关的信息。 - response_1 至 response_100_model: 数据类型为
string，用于存储响应及其对应模型的信息。 - prompt_response_1 至 prompt_response_100: 数据类型为
string，用于存储与提示相关的响应信息。 - rformatted_prompt_response_1 至 rformatted_prompt_response_37: 数据类型为
string，用于存储格式化后的提示响应信息。
序列型特征
- embed_1 至 embed_100: 数据类型为
sequence: float64，用于存储嵌入向量数据，这些数据通常用于机器学习模型中的特征表示。
