ShenaoZ/0.0001_ablation_dataset
收藏Hugging Face2024-04-18 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/ShenaoZ/0.0001_ablation_dataset
下载链接
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资源简介:
---
dataset_info:
features:
- name: prompt
dtype: string
- name: prompt_id
dtype: string
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
- name: score_chosen
dtype: float64
- name: score_rejected
dtype: float64
- name: reference_response
dtype: string
- name: chosen
list:
- name: content
dtype: string
- name: role
dtype: string
- name: rejected
list:
- name: content
dtype: string
- name: role
dtype: string
- name: is_better
dtype: bool
splits:
- name: test_prefs_1
num_bytes: 16398203
num_examples: 2000
- name: train_prefs_1
num_bytes: 168031035
num_examples: 20378
- name: test_prefs_2
num_bytes: 17464761
num_examples: 2000
- name: train_prefs_2
num_bytes: 179362130
num_examples: 20378
download_size: 210248672
dataset_size: 381256129
configs:
- config_name: default
data_files:
- split: test_prefs_1
path: data/test_prefs_1-*
- split: train_prefs_1
path: data/train_prefs_1-*
- split: test_prefs_2
path: data/test_prefs_2-*
- split: train_prefs_2
path: data/train_prefs_2-*
---
# Dataset Card for "0.0001_ablation_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
ShenaoZ
原始信息汇总
数据集概述
数据集名称
0.0001_ablation_dataset
数据集特征
- prompt (字符串类型)
- prompt_id (字符串类型)
- messages (列表类型,包含以下子特征)
- content (字符串类型)
- role (字符串类型)
- score_chosen (浮点数类型)
- score_rejected (浮点数类型)
- reference_response (字符串类型)
- chosen (列表类型,包含以下子特征)
- content (字符串类型)
- role (字符串类型)
- rejected (列表类型,包含以下子特征)
- content (字符串类型)
- role (字符串类型)
- is_better (布尔类型)
数据集分割
- test_prefs_1
- 数据大小: 16398203 字节
- 示例数量: 2000
- train_prefs_1
- 数据大小: 168031035 字节
- 示例数量: 20378
- test_prefs_2
- 数据大小: 17464761 字节
- 示例数量: 2000
- train_prefs_2
- 数据大小: 179362130 字节
- 示例数量: 20378
数据集大小
- 下载大小: 210248672 字节
- 数据集大小: 381256129 字节
配置信息
- config_name: default
- data_files
- test_prefs_1: data/test_prefs_1-*
- train_prefs_1: data/train_prefs_1-*
- test_prefs_2: data/test_prefs_2-*
- train_prefs_2: data/train_prefs_2-*



