Datasets:

kth8
/

OpenTriviaQA

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.

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

{
  "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."
}

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))