microsoft/AI-For-Beginners
Publicmirrored fromhttps://github.com/microsoft/AI-For-BeginnersAvailable
etc/quiz-app/src/assets/translations/en/lesson-14.json
111lines · modecode
| 1 | [ |
| 2 | { |
| 3 | "title": "AI for Beginners: Quizzes", |
| 4 | "complete": "Congratulations, you completed the quiz!", |
| 5 | "error": "Sorry, try again", |
| 6 | "quizzes": [ |
| 7 | { |
| 8 | "id": 114, |
| 9 | "title": "Embeddings: Pre Quiz", |
| 10 | "quiz": [ |
| 11 | { |
| 12 | "questionText": "Embedding is to represent words with _____ dimensional dense vectors", |
| 13 | "answerOptions": [ |
| 14 | { |
| 15 | "answerText": "lower", |
| 16 | "isCorrect": true |
| 17 | }, |
| 18 | { |
| 19 | "answerText": "higher", |
| 20 | "isCorrect": false |
| 21 | }, |
| 22 | { |
| 23 | "answerText": "average", |
| 24 | "isCorrect": false |
| 25 | } |
| 26 | ] |
| 27 | }, |
| 28 | { |
| 29 | "questionText": "Word2Vec pre-trained embeddings can also be used in place of embedding layer in neural networks", |
| 30 | "answerOptions": [ |
| 31 | { |
| 32 | "answerText": "True", |
| 33 | "isCorrect": true |
| 34 | }, |
| 35 | { |
| 36 | "answerText": "False", |
| 37 | "isCorrect": false |
| 38 | } |
| 39 | ] |
| 40 | }, |
| 41 | { |
| 42 | "questionText": "Using embedding layer we cannot switch from bag-of-words to embedding bag", |
| 43 | "answerOptions": [ |
| 44 | { |
| 45 | "answerText": "True", |
| 46 | "isCorrect": false |
| 47 | }, |
| 48 | { |
| 49 | "answerText": "false", |
| 50 | "isCorrect": true |
| 51 | } |
| 52 | ] |
| 53 | } |
| 54 | ] |
| 55 | }, |
| 56 | { |
| 57 | "id": 214, |
| 58 | "title": "Embeddings: Post Quiz", |
| 59 | "quiz": [ |
| 60 | { |
| 61 | "questionText": "Word2Vec has _____ main architectures", |
| 62 | "answerOptions": [ |
| 63 | { |
| 64 | "answerText": "1", |
| 65 | "isCorrect": false |
| 66 | }, |
| 67 | { |
| 68 | "answerText": "2", |
| 69 | "isCorrect": true |
| 70 | }, |
| 71 | { |
| 72 | "answerText": "3", |
| 73 | "isCorrect": false |
| 74 | } |
| 75 | ] |
| 76 | }, |
| 77 | { |
| 78 | "questionText": "Word sense disambiguation is a limitation of traditional pretrained embedding representations", |
| 79 | "answerOptions": [ |
| 80 | { |
| 81 | "answerText": "True", |
| 82 | "isCorrect": true |
| 83 | }, |
| 84 | { |
| 85 | "answerText": "False", |
| 86 | "isCorrect": false |
| 87 | } |
| 88 | ] |
| 89 | }, |
| 90 | { |
| 91 | "questionText": "An embedding layer takes _____ as input", |
| 92 | "answerOptions": [ |
| 93 | { |
| 94 | "answerText": "word", |
| 95 | "isCorrect": true |
| 96 | }, |
| 97 | { |
| 98 | "answerText": "symbol", |
| 99 | "isCorrect": false |
| 100 | }, |
| 101 | { |
| 102 | "answerText": "number", |
| 103 | "isCorrect": false |
| 104 | } |
| 105 | ] |
| 106 | } |
| 107 | ] |
| 108 | } |
| 109 | ] |
| 110 | } |
| 111 | ] |