---
language:
- en
license: mit
size_categories:
- 10K<n<100K
pretty_name: race_middle
tags:
- multiple-choice
- benchmark
- evaluation
dataset_info:
  features:
  - name: id
    dtype: int32
  - name: context
    dtype: string
  - name: question
    dtype: string
  - name: choices
    sequence: string
  - name: answerID
    dtype: int32
  splits:
  - name: eval
    num_bytes: 1764944
    num_examples: 1436
  - name: train
    num_bytes: 30687380
    num_examples: 25421
  download_size: 7457143
  dataset_size: 32452324
configs:
- config_name: default
  data_files:
  - split: eval
    path: data/eval-*
  - split: train
    path: data/train-*
---

# race_middle Dataset

## Dataset Information
- **Original Hugging Face Dataset**: `race`
- **Subset**: `middle`
- **Evaluation Split**: `test`
- **Training Split**: `train`
- **Task Type**: `multiple_choice_with_context`
- **Processing Function**: `process_race` 

## Processing Function
The following function was used to process the dataset from its original source:
```python
def process_race(example: Dict) -> Tuple[str, List[str], int]:
    """Process RACE dataset example."""
    context = example["article"]
    query = example["question"]
    choices = example["options"]
    answer_index = "ABCD".index(example["answer"])
    return context, query, choices, answer_index

```
## Overview
This repository contains the processed version of the race_middle dataset. The dataset is formatted as a collection of multiple-choice questions.

## Dataset Structure
Each example in the dataset contains the following fields:
```json
{
  "id": 0,
  "context": "It is well-known that the \"prom\", a formal dance held at the end of high school or college, is an important date in every student's life. What is less well-known is that the word \"prom\" comes from the verb \"to promenade\", which means to walk around, beautifully dressed, in order to attract attention. The idea is that you should see and be seen by others.\nThe prom is not just an American tradition, though most people believe that it started in America. In Canada the event is called a \"formal\". In Britain and Australia the old fashioned word \"dance\" is more and more frequently being referred to as a \"prom\". Most countries have some form of celebration when students finish high school: after all, it means the end of life as a child, and the beginning of life as an adult.\nThe prom is expensive to organize and the tickets can cost students a lot of money. The tradition is that students themselves have to raise the money to pay for it. Selling the students newspapers is one way to raise money; so is taking a part-time job at the weekend.\nAlthough the prom should be the experience of a lifetime, it also worries many students. There is the problem of what to wear, who to take as your partner, who will be voted \"prom queen\", etc. And it is not only students who feel worried. What many parents find difficult is the realization that their children's school days are almost over. However, for most people at the prom, once the music starts playing, everyone relaxes and stops worrying.",
  "question": "In which country is the prom called a \"formal\"?",
  "choices": [
    "America.",
    "Canada.",
    "Britain.",
    "Australia."
  ],
  "answerID": 1
}
```

## Fields Description
- `id`: Unique identifier for each example
- `question`: The question or prompt text
- `choices`: List of possible answers
- `answerID`: Index of the correct answer in the choices list (0-based)

## Loading the Dataset
You can load this dataset using the Hugging Face datasets library:
```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("DatologyAI/race_middle")

# Access the data
for example in dataset['train']:
    print(example)
```

## Example Usage
```python
# Load the dataset
dataset = load_dataset("DatologyAI/race_middle")

# Get a sample question
sample = dataset['train'][0]

# Print the question
print("Question:", sample['question'])
print("Choices:")
for idx, choice in enumerate(sample['choices']):
    print(f"{idx}. {choice}")
print("Correct Answer:", sample['choices'][sample['answerID']])
```