owenarink/kaggle-commonsense

---
pretty_name: Kaggle Commonsense
language:
- en
license: unknown
task_categories:
- text-classification
task_ids:
- multiple-choice-qa
size_categories:
- 10K<n<100K
---

# Kaggle Commonsense

This dataset contains the course-project data used in the `kaggle_commonsense` repository for commonsense reasoning with multiple-choice repairs.

## Dataset Description

Each example contains:

- an `id`
- one false sentence in `FalseSent`
- three candidate repairs in `OptionA`, `OptionB`, and `OptionC`

For training, the correct answer label is provided in `train_answers.csv`.

## Files

- `train_data.csv`: training inputs
- `train_answers.csv`: training labels
- `test_data.csv`: test inputs
- `sample.csv`: sample submission format

## Task

The task is to select the correct answer (`A`, `B`, or `C`) that best repairs the false sentence.

Example:

- False sentence: `The sun rises in the west.`
- A: `The sun rises in the east.`
- B: `The sun sets in the west.`
- C: `The sun shines at night.`

Correct answer: `A`

## Notes

This is a task-specific academic dataset from a course competition setup. It should not be treated as a broadly standardized benchmark.

pretty_name: Kaggle常识（Kaggle Commonsense）
language:
- 英语（en）
license: 未知
task_categories:
- 文本分类（text-classification）
task_ids:
- 多项选择问答（multiple-choice-qa）
size_categories:
- 10K<n<100K

# Kaggle常识（Kaggle Commonsense）

本数据集为`kaggle_commonsense`仓库中用于带多项选择修正的常识推理任务的课程项目数据。

## 数据集说明
每个样本包含：
- 一个标识符`id`
- 一句错误语句`FalseSent`
- 三个候选修正方案`OptionA`、`OptionB`与`OptionC`

训练阶段的正确答案标签可在`train_answers.csv`中获取。

## 文件说明
- `train_data.csv`：训练输入数据
- `train_answers.csv`：训练标签数据
- `test_data.csv`：测试输入数据
- `sample.csv`：提交样例格式文件

## 任务说明
本任务需选出能够最佳修正该错误语句的正确答案（`A`、`B`或`C`）。

示例：
- 错误语句：`太阳从西边升起。`
- A：`太阳从东边升起。`
- B：`太阳在西边落下。`
- C：`太阳在夜晚发光。`
正确答案：`A`

## 备注
本数据集为课程竞赛场景下的专用学术数据集，不应被视为通用标准化基准测试集。