Spaces:
Sleeping
Sleeping
chandralegend
commited on
Commit
•
7a6f06b
1
Parent(s):
516de6c
added quiz materials
Browse files- assets/quiz.json +102 -0
- pages/5_Quiz.py +6 -22
assets/quiz.json
ADDED
@@ -0,0 +1,102 @@
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[
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{
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"question": "Which of the following best describes speech recognition?",
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"options": [
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"Teaching computers to understand human speech",
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"Teaching humans to understand computer languages",
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"Teaching computers to write code",
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"Teaching humans to speak multiple languages"
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],
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"answer": "Teaching computers to understand human speech"
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},
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{
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"question": "What is one of the popular applications of speech recognition?",
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"options": [
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"Facial recognition",
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"Virtual reality gaming",
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"Voice assistants",
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"Emotion detection"
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],
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"answer": "Voice assistants"
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},
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{
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"question": "Which decade saw the introduction of Hidden Markov Models (HMMs) in speech recognition?",
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"options": [
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"1960s",
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"1970s",
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"1980s",
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"1990s"
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],
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"answer": "1980s"
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},
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{
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"question": "What was the purpose of the DARPA challenges in speech recognition?",
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"options": [
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"To promote research and advancements in the field",
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"To train voice assistants",
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"To improve internet connectivity",
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"To develop social media platforms"
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],
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"answer": "To promote research and advancements in the field"
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},
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{
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"question": "What role did neural networks play in speech recognition?",
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"options": [
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"They helped in translating spoken language",
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"They allowed for automatic extraction of features from speech data",
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"They facilitated handwriting recognition",
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"They improved internet security"
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],
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"answer": "They allowed for automatic extraction of features from speech data"
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},
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{
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"question": "Which popular voice assistant was introduced in 2011?",
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"options": [
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"Siri",
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"Alexa",
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"Cortana",
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"Google Assistant"
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],
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"answer": "Siri"
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},
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{
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"question": "What recent advancements have contributed to the improvement of speech recognition?",
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"options": [
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"Neural networks and deep learning",
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"Augmented reality technology",
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"Quantum computing",
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"Robotics"
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],
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"answer": "Neural networks and deep learning"
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},
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{
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"question": "In which field is speech recognition commonly used to convert spoken words into written text?",
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"options": [
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"Medical diagnosis",
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"Automotive engineering",
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"Transcription services",
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"Space exploration"
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],
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"answer": "Transcription services"
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},
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{
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"question": "How does speech recognition technology benefit individuals with disabilities?",
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"options": [
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"It helps improve memory and cognitive skills",
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"It enables them to interact with technology through voice commands",
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"It provides physical therapy",
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"It helps improve vision and hearing abilities"
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],
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"answer": "It enables them to interact with technology through voice commands"
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},
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{
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"question": "Which speech recognition system developed by OpenAI is known for its state-of-the-art performance?",
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"options": [
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"Whisper",
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"Roomba",
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"Siri",
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"Echo"
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],
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"answer": "Whisper"
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}
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]
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pages/5_Quiz.py
CHANGED
@@ -2,38 +2,22 @@ import streamlit as st
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from utils.levels import complete_level, render_page, initialize_level
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from utils.login import initialize_login
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import random
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LEVEL = 5
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initialize_login()
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initialize_level()
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-
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{
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"question": "Which of the following best describes speech recognition?",
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"options": [
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"Teaching computers to understand human speech",
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"Teaching humans to understand computer languages",
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"Teaching computers to write code",
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"Teaching humans to speak multiple languages",
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],
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"answer": "Teaching computers to understand human speech",
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},
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{
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"question": "What is one of the popular applications of speech recognition?",
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"options": [
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"Facial recognition",
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"Virtual reality gaming",
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"Voice assistants",
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"Emotion detection",
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],
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"answer": "Voice assistants",
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},
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]
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if "questions" not in st.session_state:
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for i in range(len(questions)):
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random.shuffle(questions[i]["options"])
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random.shuffle(questions)
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st.session_state["questions"] = questions
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from utils.levels import complete_level, render_page, initialize_level
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from utils.login import initialize_login
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import random
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import json
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LEVEL = 5
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initialize_login()
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initialize_level()
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if "questions" not in st.session_state:
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with open("assets/quiz.json") as f:
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questions = json.load(f)
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for i in range(len(questions)):
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random.shuffle(questions[i]["options"])
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random.shuffle(questions)
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st.session_state["questions"] = questions
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