Datasets:
File size: 1,883 Bytes
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---
language:
- en
license: cc-by-4.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: category
dtype: string
- name: question
dtype: string
- name: choices
list: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 9883240
num_examples: 49599
download_size: 5546262
dataset_size: 9883240
---
This dataset contains a collection of multiple-choice trivia questions and answers.
Source: [https://github.com/uberspot/OpenTriviaQA](https://github.com/uberspot/OpenTriviaQA).
Available categories:
```
animals (1368 items)
brain-teasers (214 items)
celebrities (3202 items)
entertainment (280 items)
for-kids (762 items)
general (3293 items)
geography (842 items)
history (1645 items)
hobbies (1242 items)
humanities (1098 items)
literature (1294 items)
movies (4315 items)
music (5633 items)
newest (3016 items)
people (2746 items)
rated (2199 items)
religion-faith (639 items)
science-technology (2487 items)
sports (2840 items)
television (5232 items)
video-games (600 items)
world (4890 items)
```
### Example Data Instance
```json
{
"category": "brain-teasers",
"question": "Which of these is true about the sleep of zebras?",
"choices": [
"All of these",
"They sleep standing up.",
"They would fall asleep every 5 to 6 hours.",
"They need more than 12 hours of sleep a day."
],
"answer": "They sleep standing up."
}
```
```python
import json
from datasets import load_dataset
dataset = load_dataset("kth8/OpenTriviaQA")
for index, row in enumerate(dataset["train"], start=1):
category = row['category']
question = row['question']
choices = row['choices']
answer = row['answer']
row_dict = {"index": index, "question": question, "choices": choices, "answer": answer}
print(json.dumps(row_dict))
``` |