Reasoning-Hypothesis-Corpus

# Reasoning-Hypothesis-Corpus Dataset

## Overview

The **Reasoning-Hypothesis-Corpus** is a private dataset designed for tasks involving reasoning and hypothesis evaluation. The dataset consists of pairs of premises and corresponding hypotheses. Each entry aims to help models understand and reason about the relationship between textual descriptions.

- **Modality:** Text
- **Format:** CSV
- **Size:** <1K rows
- **License:** Apache 2.0

## Dataset Structure

### Split
- **Train:** 317 rows

### Columns

- **Premise:** The main statement or situation.
- **Hypothesis:** A derived statement or assumption based on the premise.

### Example Entries

| Premise | Hypothesis |
|-----------------------------------------------------|--------------------------------------|
| The cat is sleeping on the windowsill. | The cat is taking a nap. |
| A group of friends is playing soccer in the park. | People are enjoying the outdoors. |
| The chef is preparing a delicious meal in the kitchen. | A meal is being cooked. |

## Dataset Statistics

- **Number of Rows:** 317
- **Size of Downloaded Files:** 39.8 KB
- **Size of Auto-Converted Parquet Files:** 23.7 KB

## Usage

To use this dataset in your project, follow the example below:

```python
from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Reasoning-Hypothesis-Corpus", split="train")
print(dataset[0])
```

This will load the dataset and display the first sample.

## Applications

This dataset is suitable for:

- Natural Language Inference (NLI)
- Reasoning and hypothesis testing
- Sentence pair modeling

# 推理-假设语料库（Reasoning-Hypothesis-Corpus）数据集

## 概述
**推理-假设语料库（Reasoning-Hypothesis-Corpus）** 是专为推理与假设评估任务设计的私有数据集。该数据集由前提与对应假设的配对样本构成，旨在助力模型理解并推理文本描述间的逻辑关联。

- **模态（Modality）**：文本
- **格式（Format）**：CSV
- **规模（Size）**：不足1000行
- **许可协议（License）**：Apache 2.0

## 数据集结构

### 数据划分
- **训练集（Train）**：317条样本

### 字段说明
- **前提（Premise）**：核心陈述或场景描述。
- **假设（Hypothesis）**：基于前提推导得出的陈述或假定。

### 示例样本
| 前提（Premise） | 假设（Hypothesis） |
|-----------------------------------------------------|--------------------------------------|
| 猫咪正趴在窗台上睡觉。 | 猫咪正在小憩。 |
| 一群好友正在公园中踢足球。 | 人们正在享受户外时光。 |
| 厨师正在厨房烹制美味佳肴。 | 一份餐食正在被制作。 |

## 数据集统计信息
- 样本总行数：317
- 下载文件大小：39.8 KB
- 自动转换为Parquet格式后的文件大小：23.7 KB

## 使用方法
若需在项目中调用该数据集，请参考如下示例代码：
python
from datasets import load_dataset

dataset = load_dataset("prithivMLmods/Reasoning-Hypothesis-Corpus", split="train")
print(dataset[0])

运行上述代码即可加载数据集并输出第一条样本内容。

## 应用场景
该数据集适用于以下任务：
- 自然语言推理（Natural Language Inference, NLI）
- 推理与假设检验任务
- 句对建模任务