| # Loading the KILT knowledge source and task data | |
| The original KILT [release](https://github.com/facebookresearch/KILT) only provides question IDs for the TriviaQA task. Using the full dataset requires mapping those back to the TriviaQA questions, which can be done as follows: | |
| ```python | |
| from datasets import load_dataset | |
| # Get the pre-processed Wikipedia knowledge source for kild | |
| kilt_wiki = load_dataset("kilt_wikipedia") | |
| # Get the KILT task datasets | |
| kilt_tasks = load_dataset("kilt_tasks") | |
| # Most tasks in KILT already have all required data, but KILT-TriviaQA | |
| # only provides the question IDs, not the questions themselves. | |
| # Thankfully, we can get the original TriviaQA data with: | |
| trivia_qa = load_dataset('trivia_qa', 'unfiltered.nocontext') | |
| # The KILT IDs can then be mapped to the TriviaQA questions with: | |
| triviaqa_map = {} | |
| for k in ['train', 'validation', 'test']: | |
| triviaqa_map = dict([(q_id, i) for i, q_id in enumerate(trivia_qa[k]['question_id'])]) | |
| kilt_tasks[k + '_triviaqa'] = kilt_tasks[k + '_triviaqa'].filter(lambda x: x['id'] in triviaqa_map) | |
| kilt_tasks[k + '_triviaqa'] = kilt_tasks[k + '_triviaqa'].map(lambda x: {'input': trivia_qa[k][triviaqa_map[x['id']]]['question']}) | |
| ``` | |