kuanhuggingface/hint-lm-data

---
dataset_info:
features:
- name: question
dtype: string
- name: options
sequence: string
- name: answer
dtype: string
- name: prompt
struct:
- name: Analyze the given information, break down the problem into manageable
steps, apply suitable mathematical operations, and provide a clear, accurate,
and concise solution, ensuring precise rounding if necessary. Consider all
variables and carefully consider the problem’s context for an efficient solution.
dtype: string
- name: Answer Directly.
dtype: string
- name: Break this down.
dtype: string
- name: Embrace challenges as opportunities for growth. Each obstacle you overcome
brings you closer to success.
dtype: string
- name: Let’s be realistic and think step by step.
dtype: string
- name: Let’s solve this problem by splitting it into steps.
dtype: string
- name: Let’s think about this logically.
dtype: string
- name: Let’s think like a detective step by step.
dtype: string
- name: Let’s think step by step.
dtype: string
- name: Let’s work this out in a step by step way to be sure we have the right
answer.
dtype: string
- name: 'Let’s work through this problem step-by-step:'
dtype: string
- name: Question decomposition.
dtype: string
- name: Remember that progress is made one step at a time. Stay determined and
keep moving forward.
dtype: string
- name: Stay focused and dedicated to your goals. Your consistent efforts will
lead to outstanding achievements.
dtype: string
- name: Take a deep breath and work on this problem step-by-step.
dtype: string
- name: Take a deep breath and work on this problem.
dtype: string
- name: Take pride in your work and give it your best. Your commitment to excellence
sets you apart.
dtype: string
- name: This is very important to my career.
dtype: string
- name: Write your answer and give me a confidence score between 0-1 for your
answer.
dtype: string
- name: You have to solve this problem, I am in trouble.
dtype: string
- name: You'd better be sure.
dtype: string
splits:
- name: hotpotqa_train
num_bytes: 94526339
num_examples: 5481
- name: hotpotqa_validation
num_bytes: 7987679
num_examples: 458
- name: openbookqa_train
num_bytes: 132616921
num_examples: 4957
- name: openbookqa_validation
num_bytes: 13925080
num_examples: 500
- name: openbookqa_test
num_bytes: 14024852
num_examples: 500
- name: strategyqa_train
num_bytes: 51961161
num_examples: 1790
- name: strategyqa_full
num_bytes: 66362783
num_examples: 2290
- name: strategyqa_test
num_bytes: 14398008
num_examples: 500
- name: truthfulqa_train
num_bytes: 9563847
num_examples: 317
- name: truthfulqa_full
num_bytes: 24894176
num_examples: 817
- name: truthfulqa_test
num_bytes: 15328531
num_examples: 500
download_size: 211054466
dataset_size: 445589377
configs:
- config_name: default
data_files:
- split: hotpotqa_train
path: data/hotpotqa_train-*
- split: hotpotqa_validation
path: data/hotpotqa_validation-*
- split: openbookqa_train
path: data/openbookqa_train-*
- split: openbookqa_validation
path: data/openbookqa_validation-*
- split: openbookqa_test
path: data/openbookqa_test-*
- split: strategyqa_train
path: data/strategyqa_train-*
- split: strategyqa_full
path: data/strategyqa_full-*
- split: strategyqa_test
path: data/strategyqa_test-*
- split: truthfulqa_train
path: data/truthfulqa_train-*
- split: truthfulqa_full
path: data/truthfulqa_full-*
- split: truthfulqa_test
path: data/truthfulqa_test-*
---

原始信息汇总

数据集概述

特征信息

• question: 数据类型为字符串。
• options: 序列类型为字符串。
• answer: 数据类型为字符串。
• prompt: 结构化数据，包含多个子项，每个子项的数据类型均为字符串。

数据分割

• hotpotqa_train: 包含5481个样本，大小为94526339字节。
• hotpotqa_validation: 包含458个样本，大小为7987679字节。
• openbookqa_train: 包含4957个样本，大小为132616921字节。
• openbookqa_validation: 包含500个样本，大小为13925080字节。
• openbookqa_test: 包含500个样本，大小为14024852字节。
• strategyqa_train: 包含1790个样本，大小为51961161字节。
• strategyqa_full: 包含2290个样本，大小为66362783字节。
• strategyqa_test: 包含500个样本，大小为14398008字节。
• truthfulqa_train: 包含317个样本，大小为9563847字节。
• truthfulqa_full: 包含817个样本，大小为24894176字节。
• truthfulqa_test: 包含500个样本，大小为15328531字节。

数据集大小

• 下载大小: 211054466字节。
• 数据集大小: 445589377字节。

配置信息

• config_name: default
  • 数据文件路径:
    • hotpotqa_train: data/hotpotqa_train-*
    • hotpotqa_validation: data/hotpotqa_validation-*
    • openbookqa_train: data/openbookqa_train-*
    • openbookqa_validation: data/openbookqa_validation-*
    • openbookqa_test: data/openbookqa_test-*
    • strategyqa_train: data/strategyqa_train-*
    • strategyqa_full: data/strategyqa_full-*
    • strategyqa_test: data/strategyqa_test-*
    • truthfulqa_train: data/truthfulqa_train-*
    • truthfulqa_full: data/truthfulqa_full-*
    • truthfulqa_test: data/truthfulqa_test-*