Datasets:
| 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)) | |
| ``` |