harpreetsahota/IFEval_Experiments
收藏Hugging Face2023-12-17 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/harpreetsahota/IFEval_Experiments
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资源简介：
---
dataset_info:
features:
- name: key
dtype: int64
- name: prompt
dtype: string
- name: instruction_id_list
sequence: string
- name: kwargs
dtype: string
- name: DeciLM_baseline_response
dtype: string
- name: DeciLM_baseline_time
dtype: float64
- name: Mistral_baseline_response
dtype: string
- name: Mistral_baseline_time
dtype: float64
- name: DeciLM_greedy_search_response
dtype: string
- name: DeciLM_greedy_search_time
dtype: float64
- name: Mistral_greedy_search_response
dtype: string
- name: Mistral_greedy_search_time
dtype: float64
- name: DeciLM_multinomial_sampling_response
dtype: string
- name: DeciLM_multinomial_sampling_time
dtype: float64
- name: Mistral_multinomial_sampling_response
dtype: string
- name: Mistral_multinomial_sampling_time
dtype: float64
- name: DeciLM_beam_search_response
dtype: string
- name: DeciLM_beam_search_time
dtype: float64
- name: Mistral_beam_search_response
dtype: string
- name: Mistral_beam_search_time
dtype: float64
- name: DeciLM_beam_search_multinomial_response
dtype: string
- name: DeciLM_beam_search_multinomial_time
dtype: float64
- name: Mistral_beam_search_multinomial_response
dtype: string
- name: Mistral_beam_search_multinomial_time
dtype: float64
- name: DeciLM_contrastive_search_response
dtype: string
- name: DeciLM_contrastive_search_time
dtype: float64
- name: Mistral_contrastive_search_response
dtype: string
- name: Mistral_contrastive_search_time
dtype: float64
splits:
- name: train
num_bytes: 1332493
num_examples: 100
download_size: 659731
dataset_size: 1332493
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
提供机构：
harpreetsahota
原始信息汇总
数据集概述
数据集特征
- key: 数据类型为
int64 - prompt: 数据类型为
string - instruction_id_list: 序列类型为
string - kwargs: 数据类型为
string - DeciLM_baseline_response: 数据类型为
string - DeciLM_baseline_time: 数据类型为
float64 - Mistral_baseline_response: 数据类型为
string - Mistral_baseline_time: 数据类型为
float64 - DeciLM_greedy_search_response: 数据类型为
string - DeciLM_greedy_search_time: 数据类型为
float64 - Mistral_greedy_search_response: 数据类型为
string - Mistral_greedy_search_time: 数据类型为
float64 - DeciLM_multinomial_sampling_response: 数据类型为
string - DeciLM_multinomial_sampling_time: 数据类型为
float64 - Mistral_multinomial_sampling_response: 数据类型为
string - Mistral_multinomial_sampling_time: 数据类型为
float64 - DeciLM_beam_search_response: 数据类型为
string - DeciLM_beam_search_time: 数据类型为
float64 - Mistral_beam_search_response: 数据类型为
string - Mistral_beam_search_time: 数据类型为
float64 - DeciLM_beam_search_multinomial_response: 数据类型为
string - DeciLM_beam_search_multinomial_time: 数据类型为
float64 - Mistral_beam_search_multinomial_response: 数据类型为
string - Mistral_beam_search_multinomial_time: 数据类型为
float64 - DeciLM_contrastive_search_response: 数据类型为
string - DeciLM_contrastive_search_time: 数据类型为
float64 - Mistral_contrastive_search_response: 数据类型为
string - Mistral_contrastive_search_time: 数据类型为
float64
数据集分割
- train: 包含 100 个样本，占用 1332493 字节
数据集大小
- 下载大小: 659731 字节
- 数据集大小: 1332493 字节
配置
- config_name: default
- data_files:
- split: train
- path: data/train-*
