andrewsiah/rewarded-Eurus-RM-7b_s77_e79
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_s77_e79
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资源简介：
---
dataset_info:
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
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dtype: string
splits:
- name: train
num_bytes: 1336615
num_examples: 2
download_size: 2933773
dataset_size: 1336615
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
The dataset contains a large number of features, primarily consisting of rewards, responses, prompts, and embeddings. Each feature is described with a name and a data type (either float64 for numerical data or string for text data). The dataset appears to be structured for evaluating and comparing responses to prompts, possibly in the context of machine learning models, given the presence of model identifiers associated with responses and embeddings.
提供机构：
andrewsiah
原始信息汇总
数据集特征概述
奖励特征（Reward Features）
- 名称及数据类型：共有100个奖励特征，每个特征名称为
reward_1至reward_100，数据类型均为float64。
响应特征（Response Features）
- 名称及数据类型：共有100个响应特征，每个特征名称为
response_1至response_100，数据类型均为string。 - 模型关联：每个响应特征均关联一个模型，特征名称为
response_1_model至response_100_model，数据类型均为string。
奖励评估特征（Reward Bench Features）
- 名称及数据类型：包括
rewardbench_chosen、rewardbench_chosen_model、rewardbench_rejected、rewardbench_rejected_model，数据类型均为string。
提示与响应特征（Prompt and Response Features）
- 名称及数据类型：共有100个提示与响应特征，每个特征名称为
prompt_response_1至prompt_response_100，数据类型均为string。
嵌入特征（Embedding Features）
- 名称及数据类型：共有62个嵌入特征，每个特征名称为
embed_1至embed_62，数据类型均为sequence: float64。
其他特征
- 名称及数据类型：包括
prompt、subset，数据类型均为string。
