Spaces:
Sleeping
Sleeping
Commit
·
64370fd
1
Parent(s):
cc2131f
added app files
Browse files- app.py +174 -0
- data/bollywood.json +237 -0
- data/celebs-characters-food.json +267 -0
- data/europe.json +75 -0
- data/general.json +291 -0
- data/web.json +360 -0
- data/words_list.csv +182 -0
- data/words_list.json +1097 -0
app.py
ADDED
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@@ -0,0 +1,174 @@
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| 1 |
+
import streamlit as st
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| 2 |
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import random
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| 3 |
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import json
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| 4 |
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import sqlite3
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| 5 |
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# Database setup
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DB_PATH = "shared_state.db"
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def init_db():
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"""Initialize the SQLite database with required tables."""
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with sqlite3.connect(DB_PATH) as conn:
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cursor = conn.cursor()
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cursor.execute(
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"""
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CREATE TABLE IF NOT EXISTS state (
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id INTEGER PRIMARY KEY,
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keys TEXT,
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completed_words TEXT,
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current_index INTEGER
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)
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"""
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)
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# Initialize with default state if empty
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cursor.execute("SELECT COUNT(*) FROM state")
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if cursor.fetchone()[0] == 0:
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# Populate the keys with words from the JSON file
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with open("./data/words_list.json", "r") as f:
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data = json.load(f)
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default_keys = list(data.keys())
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random.shuffle(default_keys)
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default_state = {
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"keys": default_keys,
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"completed_words": {"skip": [], "correct": [], "incorrect": []},
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"current_index": 0,
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}
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cursor.execute(
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"INSERT INTO state (keys, completed_words, current_index) VALUES (?, ?, ?)",
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(
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json.dumps(default_state["keys"]),
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json.dumps(default_state["completed_words"]),
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| 42 |
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default_state["current_index"],
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),
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)
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conn.commit()
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def get_state():
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"""Retrieve the shared state from the database."""
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| 50 |
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with sqlite3.connect(DB_PATH) as conn:
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cursor = conn.cursor()
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| 52 |
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cursor.execute("SELECT keys, completed_words, current_index FROM state")
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row = cursor.fetchone()
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return {
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"keys": json.loads(row[0]),
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"completed_words": json.loads(row[1]),
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"current_index": row[2],
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}
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def update_state(new_state):
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"""Update the shared state in the database."""
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with sqlite3.connect(DB_PATH) as conn:
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cursor = conn.cursor()
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cursor.execute(
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"""
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| 67 |
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UPDATE state
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SET keys = ?, completed_words = ?, current_index = ?
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""",
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(
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json.dumps(new_state["keys"]),
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json.dumps(new_state["completed_words"]),
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new_state["current_index"],
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),
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)
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conn.commit()
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# Initialize the database
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init_db()
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# Load the words list
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try:
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with open("./data/words_list.json", "r") as f:
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data = json.load(f)
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except FileNotFoundError:
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st.error(
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"Error: The file 'words_list.json' was not found in the './data' directory."
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)
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st.stop()
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| 91 |
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except json.JSONDecodeError:
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st.error(
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"Error: Failed to decode 'words_list.json'. Ensure it is a valid JSON file."
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)
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st.stop()
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# Fetch the shared state
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state = get_state()
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# Functions
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def draw_word():
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"""Get the current word and move to the next."""
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| 104 |
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if state["current_index"] < len(state["keys"]):
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curr_word = state["keys"][state["current_index"]]
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return curr_word
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else:
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return None
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| 111 |
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def game_play(curr_word, action):
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| 112 |
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"""Update the completed_words dictionary and move to the next word."""
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| 113 |
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if curr_word:
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state["completed_words"][action].append(curr_word)
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state["current_index"] += 1
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# Avoid duplicates in the list
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state["keys"] = list(set(state["keys"]) - set(state["completed_words"][action]))
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update_state(state)
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| 121 |
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def complete_round():
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| 122 |
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"""Complete the round and reset the state."""
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| 123 |
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state["keys"].extend(state["completed_words"]["skip"])
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random.shuffle(state["keys"])
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state["completed_words"] = {"skip": [], "correct": [], "incorrect": []}
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state["current_index"] = 0
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update_state(state)
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| 128 |
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| 130 |
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# UI
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| 131 |
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st.title("Word List Game")
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| 132 |
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st.markdown(
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| 133 |
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"Manage your words by marking them as correct, incorrect, or skipping them. Complete the round to reset!"
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| 134 |
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)
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| 136 |
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# Display scores
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scores = {
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| 138 |
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"correct": len(state["completed_words"]["correct"]),
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"incorrect": len(state["completed_words"]["incorrect"]),
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| 140 |
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"skip": len(state["completed_words"]["skip"]),
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| 141 |
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}
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| 142 |
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col1, col2, col3 = st.columns(3)
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| 143 |
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col1.metric("\u2705 Correct", scores["correct"])
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| 144 |
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col2.metric("\u274C Incorrect", scores["incorrect"])
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| 145 |
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col3.metric("\u23ED Skipped", scores["skip"])
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| 146 |
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| 147 |
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# Draw a word
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| 148 |
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curr_word = draw_word()
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| 149 |
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if curr_word:
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| 150 |
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st.header(f"Word: {curr_word}")
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| 151 |
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st.subheader("Values:")
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| 152 |
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for value in data[curr_word]:
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| 153 |
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st.text(value)
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| 154 |
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| 155 |
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# Buttons for actions
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| 156 |
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col1, col2, col3 = st.columns(3)
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| 157 |
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with col1:
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| 158 |
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if st.button("Skip"):
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| 159 |
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game_play(curr_word, "skip")
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| 160 |
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with col2:
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| 161 |
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if st.button("Correct"):
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| 162 |
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game_play(curr_word, "correct")
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| 163 |
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with col3:
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| 164 |
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if st.button("Incorrect"):
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| 165 |
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game_play(curr_word, "incorrect")
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| 166 |
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| 167 |
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# Handle no more words scenario
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| 168 |
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if not curr_word:
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| 169 |
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st.warning("No more words! Please complete the round.")
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| 170 |
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| 171 |
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# Button to complete the round
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| 172 |
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if st.button("Complete Round"):
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complete_round()
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| 174 |
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st.success("Round completed! Words reset.")
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data/bollywood.json
ADDED
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@@ -0,0 +1,237 @@
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| 1 |
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{
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| 2 |
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"Bollywood": [
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"movies",
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| 4 |
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"Mumbai",
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"actors",
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| 6 |
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"songs"
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| 7 |
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],
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"Taj Mahal": [
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"Agra",
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"monument",
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| 11 |
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"Shah Jahan",
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| 12 |
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"Mumtaz"
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| 13 |
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],
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| 14 |
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"Cricket": [
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| 15 |
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"bat",
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| 16 |
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"ball",
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| 17 |
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"Virat Kohli",
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| 18 |
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"stadium"
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| 19 |
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],
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| 20 |
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"Paneer Tikka": [
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| 21 |
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"cheese",
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| 22 |
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"starter",
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| 23 |
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"spices",
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| 24 |
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"grill"
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| 25 |
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],
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| 26 |
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"Diwali": [
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| 27 |
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"festival",
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| 28 |
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"lights",
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| 29 |
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"Lakshmi",
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| 30 |
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"firecrackers"
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| 31 |
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],
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| 32 |
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"Chai": [
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| 33 |
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"tea",
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| 34 |
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"milk",
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| 35 |
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"sugar",
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| 36 |
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"kettle"
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| 37 |
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],
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| 38 |
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"Namaste": [
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| 39 |
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"greeting",
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| 40 |
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"folded hands",
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| 41 |
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"hello",
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| 42 |
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"respect"
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| 43 |
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],
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| 44 |
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"Yoga": [
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| 45 |
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"exercise",
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| 46 |
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"India",
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| 47 |
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"asanas",
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| 48 |
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"meditation"
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| 49 |
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],
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| 50 |
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"IPL": [
|
| 51 |
+
"cricket",
|
| 52 |
+
"teams",
|
| 53 |
+
"tournament",
|
| 54 |
+
"T20"
|
| 55 |
+
],
|
| 56 |
+
"Samosa": [
|
| 57 |
+
"snack",
|
| 58 |
+
"triangle",
|
| 59 |
+
"potato",
|
| 60 |
+
"fried"
|
| 61 |
+
],
|
| 62 |
+
"Masala Dosa": [
|
| 63 |
+
"South India",
|
| 64 |
+
"rice",
|
| 65 |
+
"potato filling",
|
| 66 |
+
"sambar"
|
| 67 |
+
],
|
| 68 |
+
"Holi": [
|
| 69 |
+
"festival",
|
| 70 |
+
"colors",
|
| 71 |
+
"water",
|
| 72 |
+
"celebration"
|
| 73 |
+
],
|
| 74 |
+
"Ganges": [
|
| 75 |
+
"river",
|
| 76 |
+
"India",
|
| 77 |
+
"Varanasi",
|
| 78 |
+
"holy"
|
| 79 |
+
],
|
| 80 |
+
"Rupee": [
|
| 81 |
+
"currency",
|
| 82 |
+
"money",
|
| 83 |
+
"note",
|
| 84 |
+
"coins"
|
| 85 |
+
],
|
| 86 |
+
"Kurta": [
|
| 87 |
+
"clothes",
|
| 88 |
+
"traditional",
|
| 89 |
+
"wear",
|
| 90 |
+
"men"
|
| 91 |
+
],
|
| 92 |
+
"Shah Rukh Khan": [
|
| 93 |
+
"actor",
|
| 94 |
+
"Bollywood",
|
| 95 |
+
"King Khan",
|
| 96 |
+
"movies"
|
| 97 |
+
],
|
| 98 |
+
"Biriyani": [
|
| 99 |
+
"rice",
|
| 100 |
+
"spices",
|
| 101 |
+
"chicken",
|
| 102 |
+
"Hyderabad"
|
| 103 |
+
],
|
| 104 |
+
"Rasgulla": [
|
| 105 |
+
"sweet",
|
| 106 |
+
"dessert",
|
| 107 |
+
"Bengal",
|
| 108 |
+
"syrup"
|
| 109 |
+
],
|
| 110 |
+
"Metro": [
|
| 111 |
+
"train",
|
| 112 |
+
"city",
|
| 113 |
+
"transport",
|
| 114 |
+
"underground"
|
| 115 |
+
],
|
| 116 |
+
"IT Industry": [
|
| 117 |
+
"Bangalore",
|
| 118 |
+
"software",
|
| 119 |
+
"engineers",
|
| 120 |
+
"offices"
|
| 121 |
+
],
|
| 122 |
+
"Curry": [
|
| 123 |
+
"spices",
|
| 124 |
+
"Indian",
|
| 125 |
+
"gravy",
|
| 126 |
+
"vegetables"
|
| 127 |
+
],
|
| 128 |
+
"Kumbh Mela": [
|
| 129 |
+
"pilgrimage",
|
| 130 |
+
"holy",
|
| 131 |
+
"festival",
|
| 132 |
+
"crowd"
|
| 133 |
+
],
|
| 134 |
+
"Rangoli": [
|
| 135 |
+
"art",
|
| 136 |
+
"colors",
|
| 137 |
+
"design",
|
| 138 |
+
"Diwali"
|
| 139 |
+
],
|
| 140 |
+
"Mango": [
|
| 141 |
+
"fruit",
|
| 142 |
+
"summer",
|
| 143 |
+
"yellow",
|
| 144 |
+
"king"
|
| 145 |
+
],
|
| 146 |
+
"Lassi": [
|
| 147 |
+
"drink",
|
| 148 |
+
"yogurt",
|
| 149 |
+
"Punjab",
|
| 150 |
+
"sweet"
|
| 151 |
+
],
|
| 152 |
+
"Elephant": [
|
| 153 |
+
"animal",
|
| 154 |
+
"big",
|
| 155 |
+
"trunk",
|
| 156 |
+
"Kerala"
|
| 157 |
+
],
|
| 158 |
+
"Rajma Chawal": [
|
| 159 |
+
"beans",
|
| 160 |
+
"rice",
|
| 161 |
+
"Punjabi",
|
| 162 |
+
"meal"
|
| 163 |
+
],
|
| 164 |
+
"Amul": [
|
| 165 |
+
"butter",
|
| 166 |
+
"milk",
|
| 167 |
+
"dairy",
|
| 168 |
+
"Gujarat"
|
| 169 |
+
],
|
| 170 |
+
"Paratha": [
|
| 171 |
+
"bread",
|
| 172 |
+
"stuffed",
|
| 173 |
+
"North India",
|
| 174 |
+
"breakfast"
|
| 175 |
+
],
|
| 176 |
+
"Auto Rickshaw": [
|
| 177 |
+
"transport",
|
| 178 |
+
"three-wheeler",
|
| 179 |
+
"fare",
|
| 180 |
+
"city"
|
| 181 |
+
],
|
| 182 |
+
"Mumbai Local": [
|
| 183 |
+
"train",
|
| 184 |
+
"crowded",
|
| 185 |
+
"commute",
|
| 186 |
+
"Mumbai"
|
| 187 |
+
],
|
| 188 |
+
"Kabaddi": [
|
| 189 |
+
"game",
|
| 190 |
+
"team",
|
| 191 |
+
"sport",
|
| 192 |
+
"India"
|
| 193 |
+
],
|
| 194 |
+
"Mahabharata": [
|
| 195 |
+
"epic",
|
| 196 |
+
"Krishna",
|
| 197 |
+
"Pandavas",
|
| 198 |
+
"war"
|
| 199 |
+
],
|
| 200 |
+
"Tandoori Chicken": [
|
| 201 |
+
"roast",
|
| 202 |
+
"spices",
|
| 203 |
+
"grill",
|
| 204 |
+
"dish"
|
| 205 |
+
],
|
| 206 |
+
"Indian Railways": [
|
| 207 |
+
"train",
|
| 208 |
+
"travel",
|
| 209 |
+
"stations",
|
| 210 |
+
"tracks"
|
| 211 |
+
],
|
| 212 |
+
"Golgappa": [
|
| 213 |
+
"panipuri",
|
| 214 |
+
"snack",
|
| 215 |
+
"water",
|
| 216 |
+
"crispy"
|
| 217 |
+
],
|
| 218 |
+
"Hindi": [
|
| 219 |
+
"language",
|
| 220 |
+
"India",
|
| 221 |
+
"spoken",
|
| 222 |
+
"official"
|
| 223 |
+
],
|
| 224 |
+
"Tiffin": [
|
| 225 |
+
"lunch",
|
| 226 |
+
"box",
|
| 227 |
+
"carrier",
|
| 228 |
+
"home"
|
| 229 |
+
],
|
| 230 |
+
"Roti": [
|
| 231 |
+
"bread",
|
| 232 |
+
"wheat",
|
| 233 |
+
"Indian",
|
| 234 |
+
"meal"
|
| 235 |
+
]
|
| 236 |
+
}
|
| 237 |
+
|
data/celebs-characters-food.json
ADDED
|
@@ -0,0 +1,267 @@
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"Instagram": [
|
| 3 |
+
"photos",
|
| 4 |
+
"filters",
|
| 5 |
+
"stories",
|
| 6 |
+
"followers"
|
| 7 |
+
],
|
| 8 |
+
"Elon Musk": [
|
| 9 |
+
"Tesla",
|
| 10 |
+
"SpaceX",
|
| 11 |
+
"Twitter",
|
| 12 |
+
"billionaire"
|
| 13 |
+
],
|
| 14 |
+
"Kim Kardashian": [
|
| 15 |
+
"reality",
|
| 16 |
+
"fashion",
|
| 17 |
+
"makeup",
|
| 18 |
+
"celebrity"
|
| 19 |
+
],
|
| 20 |
+
"Pizza": [
|
| 21 |
+
"cheese",
|
| 22 |
+
"pepperoni",
|
| 23 |
+
"crust",
|
| 24 |
+
"Italian"
|
| 25 |
+
],
|
| 26 |
+
"Burger": [
|
| 27 |
+
"bun",
|
| 28 |
+
"patty",
|
| 29 |
+
"fast food",
|
| 30 |
+
"cheese"
|
| 31 |
+
],
|
| 32 |
+
"TikTok": [
|
| 33 |
+
"videos",
|
| 34 |
+
"dance",
|
| 35 |
+
"trends",
|
| 36 |
+
"social media"
|
| 37 |
+
],
|
| 38 |
+
"Tom Holland": [
|
| 39 |
+
"Spider-Man",
|
| 40 |
+
"Marvel",
|
| 41 |
+
"actor",
|
| 42 |
+
"British"
|
| 43 |
+
],
|
| 44 |
+
"Harry Potter": [
|
| 45 |
+
"wizard",
|
| 46 |
+
"Hogwarts",
|
| 47 |
+
"magic",
|
| 48 |
+
"wand"
|
| 49 |
+
],
|
| 50 |
+
"Coffee": [
|
| 51 |
+
"caffeine",
|
| 52 |
+
"latte",
|
| 53 |
+
"espresso",
|
| 54 |
+
"brew"
|
| 55 |
+
],
|
| 56 |
+
"YouTube": [
|
| 57 |
+
"videos",
|
| 58 |
+
"vlog",
|
| 59 |
+
"subscribe",
|
| 60 |
+
"channel"
|
| 61 |
+
],
|
| 62 |
+
"Sushi": [
|
| 63 |
+
"rice",
|
| 64 |
+
"fish",
|
| 65 |
+
"rolls",
|
| 66 |
+
"Japanese"
|
| 67 |
+
],
|
| 68 |
+
"Cristiano Ronaldo": [
|
| 69 |
+
"football",
|
| 70 |
+
"soccer",
|
| 71 |
+
"goal",
|
| 72 |
+
"Portugal"
|
| 73 |
+
],
|
| 74 |
+
"Taylor Swift": [
|
| 75 |
+
"songs",
|
| 76 |
+
"pop",
|
| 77 |
+
"albums",
|
| 78 |
+
"Grammy"
|
| 79 |
+
],
|
| 80 |
+
"Snapchat": [
|
| 81 |
+
"stories",
|
| 82 |
+
"filters",
|
| 83 |
+
"pictures",
|
| 84 |
+
"disappear"
|
| 85 |
+
],
|
| 86 |
+
"Kylie Jenner": [
|
| 87 |
+
"makeup",
|
| 88 |
+
"beauty",
|
| 89 |
+
"billionaire",
|
| 90 |
+
"influencer"
|
| 91 |
+
],
|
| 92 |
+
"Ice Cream": [
|
| 93 |
+
"dessert",
|
| 94 |
+
"cone",
|
| 95 |
+
"scoop",
|
| 96 |
+
"cold"
|
| 97 |
+
],
|
| 98 |
+
"Dwayne Johnson": [
|
| 99 |
+
"The Rock",
|
| 100 |
+
"actor",
|
| 101 |
+
"wrestling",
|
| 102 |
+
"action"
|
| 103 |
+
],
|
| 104 |
+
"Thor": [
|
| 105 |
+
"Marvel",
|
| 106 |
+
"hammer",
|
| 107 |
+
"Chris Hemsworth",
|
| 108 |
+
"god"
|
| 109 |
+
],
|
| 110 |
+
"Pasta": [
|
| 111 |
+
"Italy",
|
| 112 |
+
"noodles",
|
| 113 |
+
"sauce",
|
| 114 |
+
"spaghetti"
|
| 115 |
+
],
|
| 116 |
+
"Facebook": [
|
| 117 |
+
"friends",
|
| 118 |
+
"posts",
|
| 119 |
+
"like",
|
| 120 |
+
"social media"
|
| 121 |
+
],
|
| 122 |
+
"Leonardo DiCaprio": [
|
| 123 |
+
"actor",
|
| 124 |
+
"Titanic",
|
| 125 |
+
"Oscar",
|
| 126 |
+
"movies"
|
| 127 |
+
],
|
| 128 |
+
"Donuts": [
|
| 129 |
+
"dessert",
|
| 130 |
+
"ring",
|
| 131 |
+
"sweet",
|
| 132 |
+
"glaze"
|
| 133 |
+
],
|
| 134 |
+
"Spider-Man": [
|
| 135 |
+
"Marvel",
|
| 136 |
+
"web",
|
| 137 |
+
"Peter Parker",
|
| 138 |
+
"superhero"
|
| 139 |
+
],
|
| 140 |
+
"Fries": [
|
| 141 |
+
"potato",
|
| 142 |
+
"fried",
|
| 143 |
+
"salt",
|
| 144 |
+
"fast food"
|
| 145 |
+
],
|
| 146 |
+
"Johnny Depp": [
|
| 147 |
+
"actor",
|
| 148 |
+
"Pirates",
|
| 149 |
+
"Jack Sparrow",
|
| 150 |
+
"movies"
|
| 151 |
+
],
|
| 152 |
+
"Frozen": [
|
| 153 |
+
"Disney",
|
| 154 |
+
"Elsa",
|
| 155 |
+
"Anna",
|
| 156 |
+
"Let It Go"
|
| 157 |
+
],
|
| 158 |
+
"K-pop": [
|
| 159 |
+
"Korea",
|
| 160 |
+
"music",
|
| 161 |
+
"BTS",
|
| 162 |
+
"fans"
|
| 163 |
+
],
|
| 164 |
+
"Avocado Toast": [
|
| 165 |
+
"bread",
|
| 166 |
+
"brunch",
|
| 167 |
+
"healthy",
|
| 168 |
+
"spread"
|
| 169 |
+
],
|
| 170 |
+
"Chris Evans": [
|
| 171 |
+
"Captain America",
|
| 172 |
+
"Marvel",
|
| 173 |
+
"actor",
|
| 174 |
+
"shield"
|
| 175 |
+
],
|
| 176 |
+
"Chocolate": [
|
| 177 |
+
"sweet",
|
| 178 |
+
"candy",
|
| 179 |
+
"cocoa",
|
| 180 |
+
"bar"
|
| 181 |
+
],
|
| 182 |
+
"Selena Gomez": [
|
| 183 |
+
"singer",
|
| 184 |
+
"actor",
|
| 185 |
+
"Rare",
|
| 186 |
+
"Disney"
|
| 187 |
+
],
|
| 188 |
+
"Nachos": [
|
| 189 |
+
"chips",
|
| 190 |
+
"cheese",
|
| 191 |
+
"Mexican",
|
| 192 |
+
"snack"
|
| 193 |
+
],
|
| 194 |
+
"Twitter": [
|
| 195 |
+
"tweets",
|
| 196 |
+
"hashtags",
|
| 197 |
+
"followers",
|
| 198 |
+
"social media"
|
| 199 |
+
],
|
| 200 |
+
"Lionel Messi": [
|
| 201 |
+
"football",
|
| 202 |
+
"soccer",
|
| 203 |
+
"goal",
|
| 204 |
+
"Argentina"
|
| 205 |
+
],
|
| 206 |
+
"Iron Man": [
|
| 207 |
+
"Marvel",
|
| 208 |
+
"Tony Stark",
|
| 209 |
+
"Robert Downey Jr.",
|
| 210 |
+
"suit"
|
| 211 |
+
],
|
| 212 |
+
"Pancakes": [
|
| 213 |
+
"breakfast",
|
| 214 |
+
"syrup",
|
| 215 |
+
"stack",
|
| 216 |
+
"fluffy"
|
| 217 |
+
],
|
| 218 |
+
"Zendaya": [
|
| 219 |
+
"actor",
|
| 220 |
+
"Spider-Man",
|
| 221 |
+
"fashion",
|
| 222 |
+
"Euphoria"
|
| 223 |
+
],
|
| 224 |
+
"Netflix": [
|
| 225 |
+
"shows",
|
| 226 |
+
"streaming",
|
| 227 |
+
"movies",
|
| 228 |
+
"binge"
|
| 229 |
+
],
|
| 230 |
+
"Steak": [
|
| 231 |
+
"meat",
|
| 232 |
+
"grill",
|
| 233 |
+
"beef",
|
| 234 |
+
"dinner"
|
| 235 |
+
],
|
| 236 |
+
"Superman": [
|
| 237 |
+
"hero",
|
| 238 |
+
"Clark Kent",
|
| 239 |
+
"DC Comics",
|
| 240 |
+
"cape"
|
| 241 |
+
],
|
| 242 |
+
"Popcorn": [
|
| 243 |
+
"movie",
|
| 244 |
+
"snack",
|
| 245 |
+
"butter",
|
| 246 |
+
"microwave"
|
| 247 |
+
],
|
| 248 |
+
"Lady Gaga": [
|
| 249 |
+
"singer",
|
| 250 |
+
"pop",
|
| 251 |
+
"meat dress",
|
| 252 |
+
"Grammy"
|
| 253 |
+
],
|
| 254 |
+
"Cheesecake": [
|
| 255 |
+
"dessert",
|
| 256 |
+
"cake",
|
| 257 |
+
"sweet",
|
| 258 |
+
"cream"
|
| 259 |
+
],
|
| 260 |
+
"Barbie": [
|
| 261 |
+
"doll",
|
| 262 |
+
"pink",
|
| 263 |
+
"toy",
|
| 264 |
+
"Mattel"
|
| 265 |
+
]
|
| 266 |
+
}
|
| 267 |
+
|
data/europe.json
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"Oktoberfest": [
|
| 3 |
+
"beer",
|
| 4 |
+
"festival",
|
| 5 |
+
"Munich",
|
| 6 |
+
"celebration"
|
| 7 |
+
],
|
| 8 |
+
"Colosseum": [
|
| 9 |
+
"Rome",
|
| 10 |
+
"Italy",
|
| 11 |
+
"arena",
|
| 12 |
+
"gladiators"
|
| 13 |
+
],
|
| 14 |
+
"Euro": [
|
| 15 |
+
"currency",
|
| 16 |
+
"money",
|
| 17 |
+
"Europe",
|
| 18 |
+
"bank"
|
| 19 |
+
],
|
| 20 |
+
"Alps": [
|
| 21 |
+
"mountains",
|
| 22 |
+
"skiing",
|
| 23 |
+
"snow",
|
| 24 |
+
"Europe"
|
| 25 |
+
],
|
| 26 |
+
"Baguette": [
|
| 27 |
+
"bread",
|
| 28 |
+
"France",
|
| 29 |
+
"bakery",
|
| 30 |
+
"loaf"
|
| 31 |
+
],
|
| 32 |
+
"Tulips": [
|
| 33 |
+
"Netherlands",
|
| 34 |
+
"flowers",
|
| 35 |
+
"spring",
|
| 36 |
+
"colorful"
|
| 37 |
+
],
|
| 38 |
+
"Venice": [
|
| 39 |
+
"Italy",
|
| 40 |
+
"canals",
|
| 41 |
+
"gondola",
|
| 42 |
+
"water"
|
| 43 |
+
],
|
| 44 |
+
"Soccer": [
|
| 45 |
+
"football",
|
| 46 |
+
"Europe",
|
| 47 |
+
"teams",
|
| 48 |
+
"goal"
|
| 49 |
+
],
|
| 50 |
+
"Big Ben": [
|
| 51 |
+
"London",
|
| 52 |
+
"clock",
|
| 53 |
+
"tower",
|
| 54 |
+
"England"
|
| 55 |
+
],
|
| 56 |
+
"Greece": [
|
| 57 |
+
"islands",
|
| 58 |
+
"ancient",
|
| 59 |
+
"Athens",
|
| 60 |
+
"mythology"
|
| 61 |
+
],
|
| 62 |
+
"Eiffel Tower": [
|
| 63 |
+
"Paris",
|
| 64 |
+
"France",
|
| 65 |
+
"landmark",
|
| 66 |
+
"metal"
|
| 67 |
+
],
|
| 68 |
+
"Berlin": [
|
| 69 |
+
"capital",
|
| 70 |
+
"Germany",
|
| 71 |
+
"city",
|
| 72 |
+
"history"
|
| 73 |
+
]
|
| 74 |
+
}
|
| 75 |
+
|
data/general.json
ADDED
|
@@ -0,0 +1,291 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"Supernova": [
|
| 3 |
+
"star",
|
| 4 |
+
"explosion",
|
| 5 |
+
"space",
|
| 6 |
+
"light"
|
| 7 |
+
],
|
| 8 |
+
"Quantum Physics": [
|
| 9 |
+
"particles",
|
| 10 |
+
"theory",
|
| 11 |
+
"science",
|
| 12 |
+
"Einstein"
|
| 13 |
+
],
|
| 14 |
+
"Artificial Intelligence": [
|
| 15 |
+
"machine",
|
| 16 |
+
"learning",
|
| 17 |
+
"algorithm",
|
| 18 |
+
"robots"
|
| 19 |
+
],
|
| 20 |
+
"Great Wall of China": [
|
| 21 |
+
"monument",
|
| 22 |
+
"brick",
|
| 23 |
+
"China",
|
| 24 |
+
"history"
|
| 25 |
+
],
|
| 26 |
+
"Mount Everest": [
|
| 27 |
+
"peak",
|
| 28 |
+
"climbing",
|
| 29 |
+
"Nepal",
|
| 30 |
+
"snow"
|
| 31 |
+
],
|
| 32 |
+
"Coffee": [
|
| 33 |
+
"caffeine",
|
| 34 |
+
"drink",
|
| 35 |
+
"bean",
|
| 36 |
+
"brew"
|
| 37 |
+
],
|
| 38 |
+
"Solar Eclipse": [
|
| 39 |
+
"moon",
|
| 40 |
+
"sun",
|
| 41 |
+
"shadow",
|
| 42 |
+
"sky"
|
| 43 |
+
],
|
| 44 |
+
"Shark": [
|
| 45 |
+
"fish",
|
| 46 |
+
"ocean",
|
| 47 |
+
"teeth",
|
| 48 |
+
"predator"
|
| 49 |
+
],
|
| 50 |
+
"Eiffel Tower": [
|
| 51 |
+
"Paris",
|
| 52 |
+
"France",
|
| 53 |
+
"monument",
|
| 54 |
+
"landmark"
|
| 55 |
+
],
|
| 56 |
+
"Black Hole": [
|
| 57 |
+
"gravity",
|
| 58 |
+
"space",
|
| 59 |
+
"light",
|
| 60 |
+
"universe"
|
| 61 |
+
],
|
| 62 |
+
"Mars Rover": [
|
| 63 |
+
"NASA",
|
| 64 |
+
"planet",
|
| 65 |
+
"robot",
|
| 66 |
+
"exploration"
|
| 67 |
+
],
|
| 68 |
+
"Piano": [
|
| 69 |
+
"music",
|
| 70 |
+
"instrument",
|
| 71 |
+
"keys",
|
| 72 |
+
"play"
|
| 73 |
+
],
|
| 74 |
+
"Volcano": [
|
| 75 |
+
"lava",
|
| 76 |
+
"eruption",
|
| 77 |
+
"mountain",
|
| 78 |
+
"ash"
|
| 79 |
+
],
|
| 80 |
+
"Amazon Rainforest": [
|
| 81 |
+
"jungle",
|
| 82 |
+
"trees",
|
| 83 |
+
"oxygen",
|
| 84 |
+
"wildlife"
|
| 85 |
+
],
|
| 86 |
+
"Olympics": [
|
| 87 |
+
"games",
|
| 88 |
+
"sports",
|
| 89 |
+
"gold",
|
| 90 |
+
"competition"
|
| 91 |
+
],
|
| 92 |
+
"Cryptocurrency": [
|
| 93 |
+
"blockchain",
|
| 94 |
+
"Bitcoin",
|
| 95 |
+
"Ethereum",
|
| 96 |
+
"digital"
|
| 97 |
+
],
|
| 98 |
+
"Polar Bear": [
|
| 99 |
+
"Arctic",
|
| 100 |
+
"white",
|
| 101 |
+
"bear",
|
| 102 |
+
"cold"
|
| 103 |
+
],
|
| 104 |
+
"Time Machine": [
|
| 105 |
+
"future",
|
| 106 |
+
"past",
|
| 107 |
+
"travel",
|
| 108 |
+
"fiction"
|
| 109 |
+
],
|
| 110 |
+
"Chocolate": [
|
| 111 |
+
"sweet",
|
| 112 |
+
"cocoa",
|
| 113 |
+
"candy",
|
| 114 |
+
"dessert"
|
| 115 |
+
],
|
| 116 |
+
"Telescope": [
|
| 117 |
+
"stars",
|
| 118 |
+
"astronomy",
|
| 119 |
+
"lens",
|
| 120 |
+
"space"
|
| 121 |
+
],
|
| 122 |
+
"Dinosaur": [
|
| 123 |
+
"extinct",
|
| 124 |
+
"fossil",
|
| 125 |
+
"Jurassic",
|
| 126 |
+
"reptile"
|
| 127 |
+
],
|
| 128 |
+
"Tesla": [
|
| 129 |
+
"Elon Musk",
|
| 130 |
+
"electric",
|
| 131 |
+
"car",
|
| 132 |
+
"vehicle"
|
| 133 |
+
],
|
| 134 |
+
"Harry Potter": [
|
| 135 |
+
"wizard",
|
| 136 |
+
"Hogwarts",
|
| 137 |
+
"magic",
|
| 138 |
+
"books"
|
| 139 |
+
],
|
| 140 |
+
"The Beatles": [
|
| 141 |
+
"band",
|
| 142 |
+
"music",
|
| 143 |
+
"England",
|
| 144 |
+
"songs"
|
| 145 |
+
],
|
| 146 |
+
"Lightning": [
|
| 147 |
+
"storm",
|
| 148 |
+
"thunder",
|
| 149 |
+
"sky",
|
| 150 |
+
"electricity"
|
| 151 |
+
],
|
| 152 |
+
"Big Ben": [
|
| 153 |
+
"clock",
|
| 154 |
+
"London",
|
| 155 |
+
"tower",
|
| 156 |
+
"chime"
|
| 157 |
+
],
|
| 158 |
+
"Soccer": [
|
| 159 |
+
"football",
|
| 160 |
+
"goal",
|
| 161 |
+
"players",
|
| 162 |
+
"game"
|
| 163 |
+
],
|
| 164 |
+
"Robot": [
|
| 165 |
+
"machine",
|
| 166 |
+
"AI",
|
| 167 |
+
"metal",
|
| 168 |
+
"automation"
|
| 169 |
+
],
|
| 170 |
+
"Rainbow": [
|
| 171 |
+
"colors",
|
| 172 |
+
"sky",
|
| 173 |
+
"rain",
|
| 174 |
+
"light"
|
| 175 |
+
],
|
| 176 |
+
"Pyramids": [
|
| 177 |
+
"Egypt",
|
| 178 |
+
"tombs",
|
| 179 |
+
"ancient",
|
| 180 |
+
"desert"
|
| 181 |
+
],
|
| 182 |
+
"Meteor Shower": [
|
| 183 |
+
"sky",
|
| 184 |
+
"stars",
|
| 185 |
+
"night",
|
| 186 |
+
"space"
|
| 187 |
+
],
|
| 188 |
+
"Pizza": [
|
| 189 |
+
"cheese",
|
| 190 |
+
"crust",
|
| 191 |
+
"topping",
|
| 192 |
+
"Italian"
|
| 193 |
+
],
|
| 194 |
+
"Chess": [
|
| 195 |
+
"board",
|
| 196 |
+
"strategy",
|
| 197 |
+
"king",
|
| 198 |
+
"queen"
|
| 199 |
+
],
|
| 200 |
+
"Alien": [
|
| 201 |
+
"space",
|
| 202 |
+
"UFO",
|
| 203 |
+
"creature",
|
| 204 |
+
"extraterrestrial"
|
| 205 |
+
],
|
| 206 |
+
"Vampire": [
|
| 207 |
+
"blood",
|
| 208 |
+
"bat",
|
| 209 |
+
"night",
|
| 210 |
+
"immortal"
|
| 211 |
+
],
|
| 212 |
+
"Roller Coaster": [
|
| 213 |
+
"ride",
|
| 214 |
+
"amusement park",
|
| 215 |
+
"thrill",
|
| 216 |
+
"tracks"
|
| 217 |
+
],
|
| 218 |
+
"Tornado": [
|
| 219 |
+
"wind",
|
| 220 |
+
"storm",
|
| 221 |
+
"funnel",
|
| 222 |
+
"destruction"
|
| 223 |
+
],
|
| 224 |
+
"Penguin": [
|
| 225 |
+
"bird",
|
| 226 |
+
"Antarctica",
|
| 227 |
+
"cold",
|
| 228 |
+
"swim"
|
| 229 |
+
],
|
| 230 |
+
"Spaceship": [
|
| 231 |
+
"rocket",
|
| 232 |
+
"NASA",
|
| 233 |
+
"astronaut",
|
| 234 |
+
"space"
|
| 235 |
+
],
|
| 236 |
+
"Ocean": [
|
| 237 |
+
"water",
|
| 238 |
+
"waves",
|
| 239 |
+
"sea",
|
| 240 |
+
"beach"
|
| 241 |
+
],
|
| 242 |
+
"Jupiter": [
|
| 243 |
+
"planet",
|
| 244 |
+
"gas",
|
| 245 |
+
"giant",
|
| 246 |
+
"solar system"
|
| 247 |
+
],
|
| 248 |
+
"Lego": [
|
| 249 |
+
"blocks",
|
| 250 |
+
"toy",
|
| 251 |
+
"build",
|
| 252 |
+
"bricks"
|
| 253 |
+
],
|
| 254 |
+
"DNA": [
|
| 255 |
+
"genes",
|
| 256 |
+
"biology",
|
| 257 |
+
"molecule",
|
| 258 |
+
"genetics"
|
| 259 |
+
],
|
| 260 |
+
"Meteor": [
|
| 261 |
+
"rock",
|
| 262 |
+
"space",
|
| 263 |
+
"impact",
|
| 264 |
+
"sky"
|
| 265 |
+
],
|
| 266 |
+
"Sunflower": [
|
| 267 |
+
"plant",
|
| 268 |
+
"yellow",
|
| 269 |
+
"seeds",
|
| 270 |
+
"sun"
|
| 271 |
+
],
|
| 272 |
+
"Bridge": [
|
| 273 |
+
"river",
|
| 274 |
+
"connect",
|
| 275 |
+
"structure",
|
| 276 |
+
"cross"
|
| 277 |
+
],
|
| 278 |
+
"Satellite": [
|
| 279 |
+
"orbit",
|
| 280 |
+
"space",
|
| 281 |
+
"communication",
|
| 282 |
+
"signal"
|
| 283 |
+
],
|
| 284 |
+
"Iceberg": [
|
| 285 |
+
"cold",
|
| 286 |
+
"Arctic",
|
| 287 |
+
"water",
|
| 288 |
+
"float"
|
| 289 |
+
]
|
| 290 |
+
}
|
| 291 |
+
|
data/web.json
ADDED
|
@@ -0,0 +1,360 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"Ad Blocker": [
|
| 3 |
+
"advertisement",
|
| 4 |
+
"internet",
|
| 5 |
+
"removal",
|
| 6 |
+
"websites"
|
| 7 |
+
],
|
| 8 |
+
"Amazon": [
|
| 9 |
+
"Jeff Bezos",
|
| 10 |
+
"Prime Video",
|
| 11 |
+
"books",
|
| 12 |
+
"online shop",
|
| 13 |
+
"shopping"
|
| 14 |
+
],
|
| 15 |
+
"App Store": [
|
| 16 |
+
"Apple",
|
| 17 |
+
"Google",
|
| 18 |
+
"downloads",
|
| 19 |
+
"smartphone",
|
| 20 |
+
"software"
|
| 21 |
+
],
|
| 22 |
+
"Avatar": [
|
| 23 |
+
"image",
|
| 24 |
+
"photo",
|
| 25 |
+
"profile",
|
| 26 |
+
"user picture"
|
| 27 |
+
],
|
| 28 |
+
"Bitcoin": [
|
| 29 |
+
"Ethereum",
|
| 30 |
+
"blockchain",
|
| 31 |
+
"crypto",
|
| 32 |
+
"currency",
|
| 33 |
+
"money"
|
| 34 |
+
],
|
| 35 |
+
"Blockchain": [
|
| 36 |
+
"Bitcoin",
|
| 37 |
+
"Ethereum",
|
| 38 |
+
"crypto",
|
| 39 |
+
"currency",
|
| 40 |
+
"money"
|
| 41 |
+
],
|
| 42 |
+
"Blog": [
|
| 43 |
+
"WordPress",
|
| 44 |
+
"articles",
|
| 45 |
+
"reading",
|
| 46 |
+
"writing"
|
| 47 |
+
],
|
| 48 |
+
"Browser": [
|
| 49 |
+
"Chrome",
|
| 50 |
+
"Firefox",
|
| 51 |
+
"Internet Explorer",
|
| 52 |
+
"Safari",
|
| 53 |
+
"websites"
|
| 54 |
+
],
|
| 55 |
+
"Cloud": [
|
| 56 |
+
"Dropbox",
|
| 57 |
+
"Google Drive",
|
| 58 |
+
"file sharing",
|
| 59 |
+
"iCloud",
|
| 60 |
+
"online"
|
| 61 |
+
],
|
| 62 |
+
"Coinbase": [
|
| 63 |
+
"Crypto",
|
| 64 |
+
"Ethereum",
|
| 65 |
+
"blockchain",
|
| 66 |
+
"currencies",
|
| 67 |
+
"exchange",
|
| 68 |
+
"money"
|
| 69 |
+
],
|
| 70 |
+
"Dark Web": [
|
| 71 |
+
"Tor",
|
| 72 |
+
"drugs",
|
| 73 |
+
"trafficking",
|
| 74 |
+
"weapons"
|
| 75 |
+
],
|
| 76 |
+
"Download": [
|
| 77 |
+
"browser",
|
| 78 |
+
"computer",
|
| 79 |
+
"files",
|
| 80 |
+
"images",
|
| 81 |
+
"videos"
|
| 82 |
+
],
|
| 83 |
+
"eBay": [
|
| 84 |
+
"auctions",
|
| 85 |
+
"bidding",
|
| 86 |
+
"buy",
|
| 87 |
+
"sell"
|
| 88 |
+
],
|
| 89 |
+
"eBook": [
|
| 90 |
+
"Amazon",
|
| 91 |
+
"Kindle",
|
| 92 |
+
"books",
|
| 93 |
+
"digital",
|
| 94 |
+
"reading"
|
| 95 |
+
],
|
| 96 |
+
"Emoticon": [
|
| 97 |
+
"emotion",
|
| 98 |
+
"feelings",
|
| 99 |
+
"smiley",
|
| 100 |
+
"symbol"
|
| 101 |
+
],
|
| 102 |
+
"Facebook": [
|
| 103 |
+
"Instagram",
|
| 104 |
+
"Mark Zuckerberg",
|
| 105 |
+
"Whatsapp",
|
| 106 |
+
"blue",
|
| 107 |
+
"social network"
|
| 108 |
+
],
|
| 109 |
+
"Google": [
|
| 110 |
+
"Gmail",
|
| 111 |
+
"Maps",
|
| 112 |
+
"YouTube",
|
| 113 |
+
"advertisement",
|
| 114 |
+
"web search"
|
| 115 |
+
],
|
| 116 |
+
"Hacker": [
|
| 117 |
+
"black hoodie",
|
| 118 |
+
"fraud",
|
| 119 |
+
"password",
|
| 120 |
+
"robbery"
|
| 121 |
+
],
|
| 122 |
+
"Hype": [
|
| 123 |
+
"fans",
|
| 124 |
+
"hashtag",
|
| 125 |
+
"new",
|
| 126 |
+
"social network",
|
| 127 |
+
"topic"
|
| 128 |
+
],
|
| 129 |
+
"Influencer": [
|
| 130 |
+
"VIP",
|
| 131 |
+
"famous",
|
| 132 |
+
"followers",
|
| 133 |
+
"impact",
|
| 134 |
+
"likes",
|
| 135 |
+
"social network"
|
| 136 |
+
],
|
| 137 |
+
"Instagram": [
|
| 138 |
+
"Facebook",
|
| 139 |
+
"images",
|
| 140 |
+
"sharing",
|
| 141 |
+
"social network",
|
| 142 |
+
"videos"
|
| 143 |
+
],
|
| 144 |
+
"Junk": [
|
| 145 |
+
"email",
|
| 146 |
+
"spam"
|
| 147 |
+
],
|
| 148 |
+
"Login": [
|
| 149 |
+
"accounts",
|
| 150 |
+
"password",
|
| 151 |
+
"profile",
|
| 152 |
+
"username"
|
| 153 |
+
],
|
| 154 |
+
"Logout": [
|
| 155 |
+
"login",
|
| 156 |
+
"profile",
|
| 157 |
+
"sign out"
|
| 158 |
+
],
|
| 159 |
+
"Malware": [
|
| 160 |
+
"dangerous",
|
| 161 |
+
"ransomware",
|
| 162 |
+
"rootkit",
|
| 163 |
+
"trojan",
|
| 164 |
+
"virus"
|
| 165 |
+
],
|
| 166 |
+
"Mention": [
|
| 167 |
+
"@",
|
| 168 |
+
"reference",
|
| 169 |
+
"social networks",
|
| 170 |
+
"username"
|
| 171 |
+
],
|
| 172 |
+
"Nerd": [
|
| 173 |
+
"clever",
|
| 174 |
+
"computers",
|
| 175 |
+
"glasses",
|
| 176 |
+
"internet",
|
| 177 |
+
"pizza"
|
| 178 |
+
],
|
| 179 |
+
"Netflix": [
|
| 180 |
+
"binge watching",
|
| 181 |
+
"movies",
|
| 182 |
+
"online",
|
| 183 |
+
"series",
|
| 184 |
+
"streaming"
|
| 185 |
+
],
|
| 186 |
+
"Newsletter": [
|
| 187 |
+
"advertisement",
|
| 188 |
+
"email",
|
| 189 |
+
"information",
|
| 190 |
+
"regular",
|
| 191 |
+
"schaduled"
|
| 192 |
+
],
|
| 193 |
+
"Online Dating": [
|
| 194 |
+
"boy-/girlfriend",
|
| 195 |
+
"flirt",
|
| 196 |
+
"one night stand",
|
| 197 |
+
"partner",
|
| 198 |
+
"relationships"
|
| 199 |
+
],
|
| 200 |
+
"Password": [
|
| 201 |
+
"PIN",
|
| 202 |
+
"login",
|
| 203 |
+
"private",
|
| 204 |
+
"registration",
|
| 205 |
+
"secret",
|
| 206 |
+
"username"
|
| 207 |
+
],
|
| 208 |
+
"PayPal": [
|
| 209 |
+
"account",
|
| 210 |
+
"online shopping",
|
| 211 |
+
"paying",
|
| 212 |
+
"sending money"
|
| 213 |
+
],
|
| 214 |
+
"Pinterest": [
|
| 215 |
+
"boards",
|
| 216 |
+
"images",
|
| 217 |
+
"quotes",
|
| 218 |
+
"recipies",
|
| 219 |
+
"sharing",
|
| 220 |
+
"social network"
|
| 221 |
+
],
|
| 222 |
+
"Privacy": [
|
| 223 |
+
"NSA",
|
| 224 |
+
"Snowden",
|
| 225 |
+
"data",
|
| 226 |
+
"details",
|
| 227 |
+
"personal",
|
| 228 |
+
"private"
|
| 229 |
+
],
|
| 230 |
+
"Reddit": [
|
| 231 |
+
"frontpage",
|
| 232 |
+
"postings",
|
| 233 |
+
"social network",
|
| 234 |
+
"subs",
|
| 235 |
+
"upvote"
|
| 236 |
+
],
|
| 237 |
+
"Signal": [
|
| 238 |
+
"Edward Snowden",
|
| 239 |
+
"WhatsApp",
|
| 240 |
+
"chat",
|
| 241 |
+
"messages",
|
| 242 |
+
"messenger"
|
| 243 |
+
],
|
| 244 |
+
"Snapchat": [
|
| 245 |
+
"Instagram",
|
| 246 |
+
"images",
|
| 247 |
+
"social network",
|
| 248 |
+
"videos"
|
| 249 |
+
],
|
| 250 |
+
"Spam": [
|
| 251 |
+
"advertisement",
|
| 252 |
+
"annoying",
|
| 253 |
+
"email",
|
| 254 |
+
"fraud",
|
| 255 |
+
"newsletter"
|
| 256 |
+
],
|
| 257 |
+
"Spotify": [
|
| 258 |
+
"listening",
|
| 259 |
+
"music",
|
| 260 |
+
"playlists",
|
| 261 |
+
"radio",
|
| 262 |
+
"streaming"
|
| 263 |
+
],
|
| 264 |
+
"Telegram": [
|
| 265 |
+
"Signal",
|
| 266 |
+
"WhatsApp",
|
| 267 |
+
"chat",
|
| 268 |
+
"green",
|
| 269 |
+
"messages",
|
| 270 |
+
"messenger"
|
| 271 |
+
],
|
| 272 |
+
"Tidal": [
|
| 273 |
+
"HiFi",
|
| 274 |
+
"listening",
|
| 275 |
+
"music",
|
| 276 |
+
"playlists",
|
| 277 |
+
"radio",
|
| 278 |
+
"streaming"
|
| 279 |
+
],
|
| 280 |
+
"Tinder": [
|
| 281 |
+
"app",
|
| 282 |
+
"dating",
|
| 283 |
+
"one night stand",
|
| 284 |
+
"singles",
|
| 285 |
+
"swipe"
|
| 286 |
+
],
|
| 287 |
+
"Tweet": [
|
| 288 |
+
"Twitter",
|
| 289 |
+
"posting",
|
| 290 |
+
"short",
|
| 291 |
+
"threads"
|
| 292 |
+
],
|
| 293 |
+
"Twitch": [
|
| 294 |
+
"camera",
|
| 295 |
+
"computer games",
|
| 296 |
+
"gaming",
|
| 297 |
+
"steaming"
|
| 298 |
+
],
|
| 299 |
+
"Twitter": [
|
| 300 |
+
"Facebook",
|
| 301 |
+
"bird",
|
| 302 |
+
"blue",
|
| 303 |
+
"short",
|
| 304 |
+
"social network"
|
| 305 |
+
],
|
| 306 |
+
"Update": [
|
| 307 |
+
"application",
|
| 308 |
+
"downloads",
|
| 309 |
+
"new version",
|
| 310 |
+
"software"
|
| 311 |
+
],
|
| 312 |
+
"viral": [
|
| 313 |
+
"clicks",
|
| 314 |
+
"famous",
|
| 315 |
+
"likes",
|
| 316 |
+
"social network",
|
| 317 |
+
"views"
|
| 318 |
+
],
|
| 319 |
+
"Virus": [
|
| 320 |
+
"computer",
|
| 321 |
+
"dangerous",
|
| 322 |
+
"malware",
|
| 323 |
+
"trojan"
|
| 324 |
+
],
|
| 325 |
+
"VPN": [
|
| 326 |
+
"IP address",
|
| 327 |
+
"anonymous",
|
| 328 |
+
"connection",
|
| 329 |
+
"networks"
|
| 330 |
+
],
|
| 331 |
+
"Webcam": [
|
| 332 |
+
"Skype",
|
| 333 |
+
"Zoom",
|
| 334 |
+
"camera",
|
| 335 |
+
"streaming",
|
| 336 |
+
"video"
|
| 337 |
+
],
|
| 338 |
+
"WhatsApp": [
|
| 339 |
+
"Chat",
|
| 340 |
+
"Facebook",
|
| 341 |
+
"Signal",
|
| 342 |
+
"green",
|
| 343 |
+
"messages",
|
| 344 |
+
"messenger"
|
| 345 |
+
],
|
| 346 |
+
"Wikipedia": [
|
| 347 |
+
"Google",
|
| 348 |
+
"encyclopedia",
|
| 349 |
+
"knowledge",
|
| 350 |
+
"non profit",
|
| 351 |
+
"research"
|
| 352 |
+
],
|
| 353 |
+
"YouTube": [
|
| 354 |
+
"Google",
|
| 355 |
+
"streamer",
|
| 356 |
+
"streaming",
|
| 357 |
+
"uploads",
|
| 358 |
+
"videos"
|
| 359 |
+
]
|
| 360 |
+
}
|
data/words_list.csv
ADDED
|
@@ -0,0 +1,182 @@
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
guess_word,word_1,word_2,word_3,word_4
|
| 2 |
+
Supernova,star,explosion,space,light
|
| 3 |
+
Quantum Physics,particles,theory,science,Einstein
|
| 4 |
+
Artificial Intelligence,machine,learning,algorithm,robots
|
| 5 |
+
Great Wall of China,monument,brick,China,history
|
| 6 |
+
Mount Everest,peak,climbing,Nepal,snow
|
| 7 |
+
Coffee,caffeine,latte,espresso,brew
|
| 8 |
+
Solar Eclipse,moon,sun,shadow,sky
|
| 9 |
+
Shark,fish,ocean,teeth,predator
|
| 10 |
+
Eiffel Tower,Paris,France,landmark,metal
|
| 11 |
+
Black Hole,gravity,space,light,universe
|
| 12 |
+
Mars Rover,NASA,planet,robot,exploration
|
| 13 |
+
Piano,music,instrument,keys,play
|
| 14 |
+
Volcano,lava,eruption,mountain,ash
|
| 15 |
+
Amazon Rainforest,jungle,trees,oxygen,wildlife
|
| 16 |
+
Olympics,games,sports,gold,competition
|
| 17 |
+
Cryptocurrency,blockchain,Bitcoin,Ethereum,digital
|
| 18 |
+
Polar Bear,Arctic,white,bear,cold
|
| 19 |
+
Time Machine,future,past,travel,fiction
|
| 20 |
+
Chocolate,sweet,candy,cocoa,bar
|
| 21 |
+
Telescope,stars,astronomy,lens,space
|
| 22 |
+
Dinosaur,extinct,fossil,Jurassic,reptile
|
| 23 |
+
Tesla,Elon Musk,electric,car,vehicle
|
| 24 |
+
Harry Potter,wizard,Hogwarts,magic,wand
|
| 25 |
+
The Beatles,band,music,England,songs
|
| 26 |
+
Lightning,storm,thunder,sky,electricity
|
| 27 |
+
Big Ben,London,clock,tower,England
|
| 28 |
+
Soccer,football,Europe,teams,goal
|
| 29 |
+
Robot,machine,AI,metal,automation
|
| 30 |
+
Rainbow,colors,sky,rain,light
|
| 31 |
+
Pyramids,Egypt,tombs,ancient,desert
|
| 32 |
+
Meteor Shower,sky,stars,night,space
|
| 33 |
+
Pizza,cheese,pepperoni,crust,Italian
|
| 34 |
+
Chess,board,strategy,king,queen
|
| 35 |
+
Alien,space,UFO,creature,extraterrestrial
|
| 36 |
+
Vampire,blood,bat,night,immortal
|
| 37 |
+
Roller Coaster,ride,amusement park,thrill,tracks
|
| 38 |
+
Tornado,wind,storm,funnel,destruction
|
| 39 |
+
Penguin,bird,Antarctica,cold,swim
|
| 40 |
+
Spaceship,rocket,NASA,astronaut,space
|
| 41 |
+
Ocean,water,waves,sea,beach
|
| 42 |
+
Jupiter,planet,gas,giant,solar system
|
| 43 |
+
Lego,blocks,toy,build,bricks
|
| 44 |
+
DNA,genes,biology,molecule,genetics
|
| 45 |
+
Meteor,rock,space,impact,sky
|
| 46 |
+
Sunflower,plant,yellow,seeds,sun
|
| 47 |
+
Bridge,river,connect,structure,cross
|
| 48 |
+
Satellite,orbit,space,communication,signal
|
| 49 |
+
Iceberg,cold,Arctic,water,float
|
| 50 |
+
Bollywood,movies,Mumbai,actors,songs
|
| 51 |
+
Taj Mahal,Agra,monument,Shah Jahan,Mumtaz
|
| 52 |
+
Cricket,bat,ball,Virat Kohli,stadium
|
| 53 |
+
Paneer Tikka,cheese,starter,spices,grill
|
| 54 |
+
Diwali,festival,lights,Lakshmi,firecrackers
|
| 55 |
+
Chai,tea,milk,sugar,kettle
|
| 56 |
+
Namaste,greeting,folded hands,hello,respect
|
| 57 |
+
Yoga,exercise,India,asanas,meditation
|
| 58 |
+
IPL,cricket,teams,tournament,T20
|
| 59 |
+
Samosa,snack,triangle,potato,fried
|
| 60 |
+
Masala Dosa,South India,rice,potato filling,sambar
|
| 61 |
+
Holi,festival,colors,water,celebration
|
| 62 |
+
Ganges,river,India,Varanasi,holy
|
| 63 |
+
Rupee,currency,money,note,coins
|
| 64 |
+
Kurta,clothes,traditional,wear,men
|
| 65 |
+
Shah Rukh Khan,actor,Bollywood,King Khan,movies
|
| 66 |
+
Biriyani,rice,spices,chicken,Hyderabad
|
| 67 |
+
Rasgulla,sweet,dessert,Bengal,syrup
|
| 68 |
+
Metro,train,city,transport,underground
|
| 69 |
+
IT Industry,Bangalore,software,engineers,offices
|
| 70 |
+
Curry,spices,Indian,gravy,vegetables
|
| 71 |
+
Kumbh Mela,pilgrimage,holy,festival,crowd
|
| 72 |
+
Rangoli,art,colors,design,Diwali
|
| 73 |
+
Mango,fruit,summer,yellow,king
|
| 74 |
+
Lassi,drink,yogurt,Punjab,sweet
|
| 75 |
+
Elephant,animal,big,trunk,Kerala
|
| 76 |
+
Rajma Chawal,beans,rice,Punjabi,meal
|
| 77 |
+
Amul,butter,milk,dairy,Gujarat
|
| 78 |
+
Paratha,bread,stuffed,North India,breakfast
|
| 79 |
+
Auto Rickshaw,transport,three-wheeler,fare,city
|
| 80 |
+
Mumbai Local,train,crowded,commute,Mumbai
|
| 81 |
+
Kabaddi,game,team,sport,India
|
| 82 |
+
Mahabharata,epic,Krishna,Pandavas,war
|
| 83 |
+
Tandoori Chicken,roast,spices,grill,dish
|
| 84 |
+
Indian Railways,train,travel,stations,tracks
|
| 85 |
+
Golgappa,panipuri,snack,water,crispy
|
| 86 |
+
Hindi,language,India,spoken,official
|
| 87 |
+
Tiffin,lunch,box,carrier,home
|
| 88 |
+
Roti,bread,wheat,Indian,meal
|
| 89 |
+
Ad Blocker,advertisement,internet,removal,websites
|
| 90 |
+
Amazon,Jeff Bezos,Prime Video,books,online shop
|
| 91 |
+
App Store,Apple,Google,downloads,smartphone
|
| 92 |
+
Avatar,image,photo,profile,user picture
|
| 93 |
+
Bitcoin,Ethereum,blockchain,crypto,currency
|
| 94 |
+
Blockchain,Bitcoin,Ethereum,crypto,currency
|
| 95 |
+
Blog,WordPress,articles,reading,writing
|
| 96 |
+
Browser,Chrome,Firefox,Internet Explorer,Safari
|
| 97 |
+
Cloud,Dropbox,Google Drive,file sharing,iCloud
|
| 98 |
+
Coinbase,Crypto,Ethereum,blockchain,currencies
|
| 99 |
+
Dark Web,Tor,drugs,trafficking,weapons
|
| 100 |
+
Download,browser,computer,files,images
|
| 101 |
+
eBay,auctions,bidding,buy,sell
|
| 102 |
+
eBook,Amazon,Kindle,books,digital
|
| 103 |
+
Emoticon,emotion,feelings,smiley,symbol
|
| 104 |
+
Facebook,friends,posts,like,social media
|
| 105 |
+
Google,Gmail,Maps,YouTube,advertisement
|
| 106 |
+
Hacker,black hoodie,fraud,password,robbery
|
| 107 |
+
Hype,fans,hashtag,new,social network
|
| 108 |
+
Influencer,VIP,famous,followers,impact
|
| 109 |
+
Instagram,photos,filters,stories,followers
|
| 110 |
+
Login,accounts,password,profile,username
|
| 111 |
+
Malware,dangerous,ransomware,rootkit,trojan
|
| 112 |
+
Mention,@,reference,social networks,username
|
| 113 |
+
Nerd,clever,computers,glasses,internet
|
| 114 |
+
Netflix,shows,streaming,movies,binge
|
| 115 |
+
Newsletter,advertisement,email,information,regular
|
| 116 |
+
Online Dating,boy-/girlfriend,flirt,one night stand,partner
|
| 117 |
+
Password,PIN,login,private,registration
|
| 118 |
+
PayPal,account,online shopping,paying,sending money
|
| 119 |
+
Pinterest,boards,images,quotes,recipies
|
| 120 |
+
Privacy,NSA,Snowden,data,details
|
| 121 |
+
Reddit,frontpage,postings,social network,subs
|
| 122 |
+
Signal,Edward Snowden,WhatsApp,chat,messages
|
| 123 |
+
Snapchat,stories,filters,pictures,disappear
|
| 124 |
+
Spam,advertisement,annoying,email,fraud
|
| 125 |
+
Spotify,listening,music,playlists,radio
|
| 126 |
+
Telegram,Signal,WhatsApp,chat,green
|
| 127 |
+
Tidal,HiFi,listening,music,playlists
|
| 128 |
+
Tinder,app,dating,one night stand,singles
|
| 129 |
+
Tweet,Twitter,posting,short,threads
|
| 130 |
+
Twitch,camera,computer games,gaming,steaming
|
| 131 |
+
Twitter,tweets,hashtags,followers,social media
|
| 132 |
+
Update,application,downloads,new version,software
|
| 133 |
+
viral,clicks,famous,likes,social network
|
| 134 |
+
Virus,computer,dangerous,malware,trojan
|
| 135 |
+
VPN,IP address,anonymous,connection,networks
|
| 136 |
+
Webcam,Skype,Zoom,camera,streaming
|
| 137 |
+
WhatsApp,Chat,Facebook,Signal,green
|
| 138 |
+
Wikipedia,Google,encyclopedia,knowledge,non profit
|
| 139 |
+
YouTube,videos,vlog,subscribe,channel
|
| 140 |
+
Oktoberfest,beer,festival,Munich,celebration
|
| 141 |
+
Colosseum,Rome,Italy,arena,gladiators
|
| 142 |
+
Euro,currency,money,Europe,bank
|
| 143 |
+
Alps,mountains,skiing,snow,Europe
|
| 144 |
+
Baguette,bread,France,bakery,loaf
|
| 145 |
+
Tulips,Netherlands,flowers,spring,colorful
|
| 146 |
+
Venice,Italy,canals,gondola,water
|
| 147 |
+
Greece,islands,ancient,Athens,mythology
|
| 148 |
+
Berlin,capital,Germany,city,history
|
| 149 |
+
Elon Musk,Tesla,SpaceX,Twitter,billionaire
|
| 150 |
+
Kim Kardashian,reality,fashion,makeup,celebrity
|
| 151 |
+
Burger,bun,patty,fast food,cheese
|
| 152 |
+
TikTok,videos,dance,trends,social media
|
| 153 |
+
Tom Holland,Spider-Man,Marvel,actor,British
|
| 154 |
+
Sushi,rice,fish,rolls,Japanese
|
| 155 |
+
Cristiano Ronaldo,football,soccer,goal,Portugal
|
| 156 |
+
Taylor Swift,songs,pop,albums,Grammy
|
| 157 |
+
Kylie Jenner,makeup,beauty,billionaire,influencer
|
| 158 |
+
Ice Cream,dessert,cone,scoop,cold
|
| 159 |
+
Dwayne Johnson,The Rock,actor,wrestling,action
|
| 160 |
+
Thor,Marvel,hammer,Chris Hemsworth,god
|
| 161 |
+
Pasta,Italy,noodles,sauce,spaghetti
|
| 162 |
+
Leonardo DiCaprio,actor,Titanic,Oscar,movies
|
| 163 |
+
Donuts,dessert,ring,sweet,glaze
|
| 164 |
+
Spider-Man,Marvel,web,Peter Parker,superhero
|
| 165 |
+
Fries,potato,fried,salt,fast food
|
| 166 |
+
Johnny Depp,actor,Pirates,Jack Sparrow,movies
|
| 167 |
+
Frozen,Disney,Elsa,Anna,Let It Go
|
| 168 |
+
K-pop,Korea,music,BTS,fans
|
| 169 |
+
Avocado Toast,bread,brunch,healthy,spread
|
| 170 |
+
Chris Evans,Captain America,Marvel,actor,shield
|
| 171 |
+
Selena Gomez,singer,actor,Rare,Disney
|
| 172 |
+
Nachos,chips,cheese,Mexican,snack
|
| 173 |
+
Lionel Messi,football,soccer,goal,Argentina
|
| 174 |
+
Iron Man,Marvel,Tony Stark,Robert Downey Jr.,suit
|
| 175 |
+
Pancakes,breakfast,syrup,stack,fluffy
|
| 176 |
+
Zendaya,actor,Spider-Man,fashion,Euphoria
|
| 177 |
+
Steak,meat,grill,beef,dinner
|
| 178 |
+
Superman,hero,Clark Kent,DC Comics,cape
|
| 179 |
+
Popcorn,movie,snack,butter,microwave
|
| 180 |
+
Lady Gaga,singer,pop,meat dress,Grammy
|
| 181 |
+
Cheesecake,dessert,cake,sweet,cream
|
| 182 |
+
Barbie,doll,pink,toy,Mattel
|
data/words_list.json
ADDED
|
@@ -0,0 +1,1097 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"Supernova": [
|
| 3 |
+
"star",
|
| 4 |
+
"explosion",
|
| 5 |
+
"space",
|
| 6 |
+
"light"
|
| 7 |
+
],
|
| 8 |
+
"Quantum Physics": [
|
| 9 |
+
"particles",
|
| 10 |
+
"theory",
|
| 11 |
+
"science",
|
| 12 |
+
"Einstein"
|
| 13 |
+
],
|
| 14 |
+
"Artificial Intelligence": [
|
| 15 |
+
"machine",
|
| 16 |
+
"learning",
|
| 17 |
+
"algorithm",
|
| 18 |
+
"robots"
|
| 19 |
+
],
|
| 20 |
+
"Great Wall of China": [
|
| 21 |
+
"monument",
|
| 22 |
+
"brick",
|
| 23 |
+
"China",
|
| 24 |
+
"history"
|
| 25 |
+
],
|
| 26 |
+
"Mount Everest": [
|
| 27 |
+
"peak",
|
| 28 |
+
"climbing",
|
| 29 |
+
"Nepal",
|
| 30 |
+
"snow"
|
| 31 |
+
],
|
| 32 |
+
"Coffee": [
|
| 33 |
+
"caffeine",
|
| 34 |
+
"latte",
|
| 35 |
+
"espresso",
|
| 36 |
+
"brew"
|
| 37 |
+
],
|
| 38 |
+
"Solar Eclipse": [
|
| 39 |
+
"moon",
|
| 40 |
+
"sun",
|
| 41 |
+
"shadow",
|
| 42 |
+
"sky"
|
| 43 |
+
],
|
| 44 |
+
"Shark": [
|
| 45 |
+
"fish",
|
| 46 |
+
"ocean",
|
| 47 |
+
"teeth",
|
| 48 |
+
"predator"
|
| 49 |
+
],
|
| 50 |
+
"Eiffel Tower": [
|
| 51 |
+
"Paris",
|
| 52 |
+
"France",
|
| 53 |
+
"landmark",
|
| 54 |
+
"metal"
|
| 55 |
+
],
|
| 56 |
+
"Black Hole": [
|
| 57 |
+
"gravity",
|
| 58 |
+
"space",
|
| 59 |
+
"light",
|
| 60 |
+
"universe"
|
| 61 |
+
],
|
| 62 |
+
"Mars Rover": [
|
| 63 |
+
"NASA",
|
| 64 |
+
"planet",
|
| 65 |
+
"robot",
|
| 66 |
+
"exploration"
|
| 67 |
+
],
|
| 68 |
+
"Piano": [
|
| 69 |
+
"music",
|
| 70 |
+
"instrument",
|
| 71 |
+
"keys",
|
| 72 |
+
"play"
|
| 73 |
+
],
|
| 74 |
+
"Volcano": [
|
| 75 |
+
"lava",
|
| 76 |
+
"eruption",
|
| 77 |
+
"mountain",
|
| 78 |
+
"ash"
|
| 79 |
+
],
|
| 80 |
+
"Amazon Rainforest": [
|
| 81 |
+
"jungle",
|
| 82 |
+
"trees",
|
| 83 |
+
"oxygen",
|
| 84 |
+
"wildlife"
|
| 85 |
+
],
|
| 86 |
+
"Olympics": [
|
| 87 |
+
"games",
|
| 88 |
+
"sports",
|
| 89 |
+
"gold",
|
| 90 |
+
"competition"
|
| 91 |
+
],
|
| 92 |
+
"Cryptocurrency": [
|
| 93 |
+
"blockchain",
|
| 94 |
+
"Bitcoin",
|
| 95 |
+
"Ethereum",
|
| 96 |
+
"digital"
|
| 97 |
+
],
|
| 98 |
+
"Polar Bear": [
|
| 99 |
+
"Arctic",
|
| 100 |
+
"white",
|
| 101 |
+
"bear",
|
| 102 |
+
"cold"
|
| 103 |
+
],
|
| 104 |
+
"Time Machine": [
|
| 105 |
+
"future",
|
| 106 |
+
"past",
|
| 107 |
+
"travel",
|
| 108 |
+
"fiction"
|
| 109 |
+
],
|
| 110 |
+
"Chocolate": [
|
| 111 |
+
"sweet",
|
| 112 |
+
"candy",
|
| 113 |
+
"cocoa",
|
| 114 |
+
"bar"
|
| 115 |
+
],
|
| 116 |
+
"Telescope": [
|
| 117 |
+
"stars",
|
| 118 |
+
"astronomy",
|
| 119 |
+
"lens",
|
| 120 |
+
"space"
|
| 121 |
+
],
|
| 122 |
+
"Dinosaur": [
|
| 123 |
+
"extinct",
|
| 124 |
+
"fossil",
|
| 125 |
+
"Jurassic",
|
| 126 |
+
"reptile"
|
| 127 |
+
],
|
| 128 |
+
"Tesla": [
|
| 129 |
+
"Elon Musk",
|
| 130 |
+
"electric",
|
| 131 |
+
"car",
|
| 132 |
+
"vehicle"
|
| 133 |
+
],
|
| 134 |
+
"Harry Potter": [
|
| 135 |
+
"wizard",
|
| 136 |
+
"Hogwarts",
|
| 137 |
+
"magic",
|
| 138 |
+
"wand"
|
| 139 |
+
],
|
| 140 |
+
"The Beatles": [
|
| 141 |
+
"band",
|
| 142 |
+
"music",
|
| 143 |
+
"England",
|
| 144 |
+
"songs"
|
| 145 |
+
],
|
| 146 |
+
"Lightning": [
|
| 147 |
+
"storm",
|
| 148 |
+
"thunder",
|
| 149 |
+
"sky",
|
| 150 |
+
"electricity"
|
| 151 |
+
],
|
| 152 |
+
"Big Ben": [
|
| 153 |
+
"London",
|
| 154 |
+
"clock",
|
| 155 |
+
"tower",
|
| 156 |
+
"England"
|
| 157 |
+
],
|
| 158 |
+
"Soccer": [
|
| 159 |
+
"football",
|
| 160 |
+
"Europe",
|
| 161 |
+
"teams",
|
| 162 |
+
"goal"
|
| 163 |
+
],
|
| 164 |
+
"Robot": [
|
| 165 |
+
"machine",
|
| 166 |
+
"AI",
|
| 167 |
+
"metal",
|
| 168 |
+
"automation"
|
| 169 |
+
],
|
| 170 |
+
"Rainbow": [
|
| 171 |
+
"colors",
|
| 172 |
+
"sky",
|
| 173 |
+
"rain",
|
| 174 |
+
"light"
|
| 175 |
+
],
|
| 176 |
+
"Pyramids": [
|
| 177 |
+
"Egypt",
|
| 178 |
+
"tombs",
|
| 179 |
+
"ancient",
|
| 180 |
+
"desert"
|
| 181 |
+
],
|
| 182 |
+
"Meteor Shower": [
|
| 183 |
+
"sky",
|
| 184 |
+
"stars",
|
| 185 |
+
"night",
|
| 186 |
+
"space"
|
| 187 |
+
],
|
| 188 |
+
"Pizza": [
|
| 189 |
+
"cheese",
|
| 190 |
+
"pepperoni",
|
| 191 |
+
"crust",
|
| 192 |
+
"Italian"
|
| 193 |
+
],
|
| 194 |
+
"Chess": [
|
| 195 |
+
"board",
|
| 196 |
+
"strategy",
|
| 197 |
+
"king",
|
| 198 |
+
"queen"
|
| 199 |
+
],
|
| 200 |
+
"Alien": [
|
| 201 |
+
"space",
|
| 202 |
+
"UFO",
|
| 203 |
+
"creature",
|
| 204 |
+
"extraterrestrial"
|
| 205 |
+
],
|
| 206 |
+
"Vampire": [
|
| 207 |
+
"blood",
|
| 208 |
+
"bat",
|
| 209 |
+
"night",
|
| 210 |
+
"immortal"
|
| 211 |
+
],
|
| 212 |
+
"Roller Coaster": [
|
| 213 |
+
"ride",
|
| 214 |
+
"amusement park",
|
| 215 |
+
"thrill",
|
| 216 |
+
"tracks"
|
| 217 |
+
],
|
| 218 |
+
"Tornado": [
|
| 219 |
+
"wind",
|
| 220 |
+
"storm",
|
| 221 |
+
"funnel",
|
| 222 |
+
"destruction"
|
| 223 |
+
],
|
| 224 |
+
"Penguin": [
|
| 225 |
+
"bird",
|
| 226 |
+
"Antarctica",
|
| 227 |
+
"cold",
|
| 228 |
+
"swim"
|
| 229 |
+
],
|
| 230 |
+
"Spaceship": [
|
| 231 |
+
"rocket",
|
| 232 |
+
"NASA",
|
| 233 |
+
"astronaut",
|
| 234 |
+
"space"
|
| 235 |
+
],
|
| 236 |
+
"Ocean": [
|
| 237 |
+
"water",
|
| 238 |
+
"waves",
|
| 239 |
+
"sea",
|
| 240 |
+
"beach"
|
| 241 |
+
],
|
| 242 |
+
"Jupiter": [
|
| 243 |
+
"planet",
|
| 244 |
+
"gas",
|
| 245 |
+
"giant",
|
| 246 |
+
"solar system"
|
| 247 |
+
],
|
| 248 |
+
"Lego": [
|
| 249 |
+
"blocks",
|
| 250 |
+
"toy",
|
| 251 |
+
"build",
|
| 252 |
+
"bricks"
|
| 253 |
+
],
|
| 254 |
+
"DNA": [
|
| 255 |
+
"genes",
|
| 256 |
+
"biology",
|
| 257 |
+
"molecule",
|
| 258 |
+
"genetics"
|
| 259 |
+
],
|
| 260 |
+
"Meteor": [
|
| 261 |
+
"rock",
|
| 262 |
+
"space",
|
| 263 |
+
"impact",
|
| 264 |
+
"sky"
|
| 265 |
+
],
|
| 266 |
+
"Sunflower": [
|
| 267 |
+
"plant",
|
| 268 |
+
"yellow",
|
| 269 |
+
"seeds",
|
| 270 |
+
"sun"
|
| 271 |
+
],
|
| 272 |
+
"Bridge": [
|
| 273 |
+
"river",
|
| 274 |
+
"connect",
|
| 275 |
+
"structure",
|
| 276 |
+
"cross"
|
| 277 |
+
],
|
| 278 |
+
"Satellite": [
|
| 279 |
+
"orbit",
|
| 280 |
+
"space",
|
| 281 |
+
"communication",
|
| 282 |
+
"signal"
|
| 283 |
+
],
|
| 284 |
+
"Iceberg": [
|
| 285 |
+
"cold",
|
| 286 |
+
"Arctic",
|
| 287 |
+
"water",
|
| 288 |
+
"float"
|
| 289 |
+
],
|
| 290 |
+
"Bollywood": [
|
| 291 |
+
"movies",
|
| 292 |
+
"Mumbai",
|
| 293 |
+
"actors",
|
| 294 |
+
"songs"
|
| 295 |
+
],
|
| 296 |
+
"Taj Mahal": [
|
| 297 |
+
"Agra",
|
| 298 |
+
"monument",
|
| 299 |
+
"Shah Jahan",
|
| 300 |
+
"Mumtaz"
|
| 301 |
+
],
|
| 302 |
+
"Cricket": [
|
| 303 |
+
"bat",
|
| 304 |
+
"ball",
|
| 305 |
+
"Virat Kohli",
|
| 306 |
+
"stadium"
|
| 307 |
+
],
|
| 308 |
+
"Paneer Tikka": [
|
| 309 |
+
"cheese",
|
| 310 |
+
"starter",
|
| 311 |
+
"spices",
|
| 312 |
+
"grill"
|
| 313 |
+
],
|
| 314 |
+
"Diwali": [
|
| 315 |
+
"festival",
|
| 316 |
+
"lights",
|
| 317 |
+
"Lakshmi",
|
| 318 |
+
"firecrackers"
|
| 319 |
+
],
|
| 320 |
+
"Chai": [
|
| 321 |
+
"tea",
|
| 322 |
+
"milk",
|
| 323 |
+
"sugar",
|
| 324 |
+
"kettle"
|
| 325 |
+
],
|
| 326 |
+
"Namaste": [
|
| 327 |
+
"greeting",
|
| 328 |
+
"folded hands",
|
| 329 |
+
"hello",
|
| 330 |
+
"respect"
|
| 331 |
+
],
|
| 332 |
+
"Yoga": [
|
| 333 |
+
"exercise",
|
| 334 |
+
"India",
|
| 335 |
+
"asanas",
|
| 336 |
+
"meditation"
|
| 337 |
+
],
|
| 338 |
+
"IPL": [
|
| 339 |
+
"cricket",
|
| 340 |
+
"teams",
|
| 341 |
+
"tournament",
|
| 342 |
+
"T20"
|
| 343 |
+
],
|
| 344 |
+
"Samosa": [
|
| 345 |
+
"snack",
|
| 346 |
+
"triangle",
|
| 347 |
+
"potato",
|
| 348 |
+
"fried"
|
| 349 |
+
],
|
| 350 |
+
"Masala Dosa": [
|
| 351 |
+
"South India",
|
| 352 |
+
"rice",
|
| 353 |
+
"potato filling",
|
| 354 |
+
"sambar"
|
| 355 |
+
],
|
| 356 |
+
"Holi": [
|
| 357 |
+
"festival",
|
| 358 |
+
"colors",
|
| 359 |
+
"water",
|
| 360 |
+
"celebration"
|
| 361 |
+
],
|
| 362 |
+
"Ganges": [
|
| 363 |
+
"river",
|
| 364 |
+
"India",
|
| 365 |
+
"Varanasi",
|
| 366 |
+
"holy"
|
| 367 |
+
],
|
| 368 |
+
"Rupee": [
|
| 369 |
+
"currency",
|
| 370 |
+
"money",
|
| 371 |
+
"note",
|
| 372 |
+
"coins"
|
| 373 |
+
],
|
| 374 |
+
"Kurta": [
|
| 375 |
+
"clothes",
|
| 376 |
+
"traditional",
|
| 377 |
+
"wear",
|
| 378 |
+
"men"
|
| 379 |
+
],
|
| 380 |
+
"Shah Rukh Khan": [
|
| 381 |
+
"actor",
|
| 382 |
+
"Bollywood",
|
| 383 |
+
"King Khan",
|
| 384 |
+
"movies"
|
| 385 |
+
],
|
| 386 |
+
"Biriyani": [
|
| 387 |
+
"rice",
|
| 388 |
+
"spices",
|
| 389 |
+
"chicken",
|
| 390 |
+
"Hyderabad"
|
| 391 |
+
],
|
| 392 |
+
"Rasgulla": [
|
| 393 |
+
"sweet",
|
| 394 |
+
"dessert",
|
| 395 |
+
"Bengal",
|
| 396 |
+
"syrup"
|
| 397 |
+
],
|
| 398 |
+
"Metro": [
|
| 399 |
+
"train",
|
| 400 |
+
"city",
|
| 401 |
+
"transport",
|
| 402 |
+
"underground"
|
| 403 |
+
],
|
| 404 |
+
"IT Industry": [
|
| 405 |
+
"Bangalore",
|
| 406 |
+
"software",
|
| 407 |
+
"engineers",
|
| 408 |
+
"offices"
|
| 409 |
+
],
|
| 410 |
+
"Curry": [
|
| 411 |
+
"spices",
|
| 412 |
+
"Indian",
|
| 413 |
+
"gravy",
|
| 414 |
+
"vegetables"
|
| 415 |
+
],
|
| 416 |
+
"Kumbh Mela": [
|
| 417 |
+
"pilgrimage",
|
| 418 |
+
"holy",
|
| 419 |
+
"festival",
|
| 420 |
+
"crowd"
|
| 421 |
+
],
|
| 422 |
+
"Rangoli": [
|
| 423 |
+
"art",
|
| 424 |
+
"colors",
|
| 425 |
+
"design",
|
| 426 |
+
"Diwali"
|
| 427 |
+
],
|
| 428 |
+
"Mango": [
|
| 429 |
+
"fruit",
|
| 430 |
+
"summer",
|
| 431 |
+
"yellow",
|
| 432 |
+
"king"
|
| 433 |
+
],
|
| 434 |
+
"Lassi": [
|
| 435 |
+
"drink",
|
| 436 |
+
"yogurt",
|
| 437 |
+
"Punjab",
|
| 438 |
+
"sweet"
|
| 439 |
+
],
|
| 440 |
+
"Elephant": [
|
| 441 |
+
"animal",
|
| 442 |
+
"big",
|
| 443 |
+
"trunk",
|
| 444 |
+
"Kerala"
|
| 445 |
+
],
|
| 446 |
+
"Rajma Chawal": [
|
| 447 |
+
"beans",
|
| 448 |
+
"rice",
|
| 449 |
+
"Punjabi",
|
| 450 |
+
"meal"
|
| 451 |
+
],
|
| 452 |
+
"Amul": [
|
| 453 |
+
"butter",
|
| 454 |
+
"milk",
|
| 455 |
+
"dairy",
|
| 456 |
+
"Gujarat"
|
| 457 |
+
],
|
| 458 |
+
"Paratha": [
|
| 459 |
+
"bread",
|
| 460 |
+
"stuffed",
|
| 461 |
+
"North India",
|
| 462 |
+
"breakfast"
|
| 463 |
+
],
|
| 464 |
+
"Auto Rickshaw": [
|
| 465 |
+
"transport",
|
| 466 |
+
"three-wheeler",
|
| 467 |
+
"fare",
|
| 468 |
+
"city"
|
| 469 |
+
],
|
| 470 |
+
"Mumbai Local": [
|
| 471 |
+
"train",
|
| 472 |
+
"crowded",
|
| 473 |
+
"commute",
|
| 474 |
+
"Mumbai"
|
| 475 |
+
],
|
| 476 |
+
"Kabaddi": [
|
| 477 |
+
"game",
|
| 478 |
+
"team",
|
| 479 |
+
"sport",
|
| 480 |
+
"India"
|
| 481 |
+
],
|
| 482 |
+
"Mahabharata": [
|
| 483 |
+
"epic",
|
| 484 |
+
"Krishna",
|
| 485 |
+
"Pandavas",
|
| 486 |
+
"war"
|
| 487 |
+
],
|
| 488 |
+
"Tandoori Chicken": [
|
| 489 |
+
"roast",
|
| 490 |
+
"spices",
|
| 491 |
+
"grill",
|
| 492 |
+
"dish"
|
| 493 |
+
],
|
| 494 |
+
"Indian Railways": [
|
| 495 |
+
"train",
|
| 496 |
+
"travel",
|
| 497 |
+
"stations",
|
| 498 |
+
"tracks"
|
| 499 |
+
],
|
| 500 |
+
"Golgappa": [
|
| 501 |
+
"panipuri",
|
| 502 |
+
"snack",
|
| 503 |
+
"water",
|
| 504 |
+
"crispy"
|
| 505 |
+
],
|
| 506 |
+
"Hindi": [
|
| 507 |
+
"language",
|
| 508 |
+
"India",
|
| 509 |
+
"spoken",
|
| 510 |
+
"official"
|
| 511 |
+
],
|
| 512 |
+
"Tiffin": [
|
| 513 |
+
"lunch",
|
| 514 |
+
"box",
|
| 515 |
+
"carrier",
|
| 516 |
+
"home"
|
| 517 |
+
],
|
| 518 |
+
"Roti": [
|
| 519 |
+
"bread",
|
| 520 |
+
"wheat",
|
| 521 |
+
"Indian",
|
| 522 |
+
"meal"
|
| 523 |
+
],
|
| 524 |
+
"Ad Blocker": [
|
| 525 |
+
"advertisement",
|
| 526 |
+
"internet",
|
| 527 |
+
"removal",
|
| 528 |
+
"websites"
|
| 529 |
+
],
|
| 530 |
+
"Amazon": [
|
| 531 |
+
"Jeff Bezos",
|
| 532 |
+
"Prime Video",
|
| 533 |
+
"books",
|
| 534 |
+
"online shop"
|
| 535 |
+
],
|
| 536 |
+
"App Store": [
|
| 537 |
+
"Apple",
|
| 538 |
+
"Google",
|
| 539 |
+
"downloads",
|
| 540 |
+
"smartphone"
|
| 541 |
+
],
|
| 542 |
+
"Avatar": [
|
| 543 |
+
"image",
|
| 544 |
+
"photo",
|
| 545 |
+
"profile",
|
| 546 |
+
"user picture"
|
| 547 |
+
],
|
| 548 |
+
"Bitcoin": [
|
| 549 |
+
"Ethereum",
|
| 550 |
+
"blockchain",
|
| 551 |
+
"crypto",
|
| 552 |
+
"currency"
|
| 553 |
+
],
|
| 554 |
+
"Blockchain": [
|
| 555 |
+
"Bitcoin",
|
| 556 |
+
"Ethereum",
|
| 557 |
+
"crypto",
|
| 558 |
+
"currency"
|
| 559 |
+
],
|
| 560 |
+
"Blog": [
|
| 561 |
+
"WordPress",
|
| 562 |
+
"articles",
|
| 563 |
+
"reading",
|
| 564 |
+
"writing"
|
| 565 |
+
],
|
| 566 |
+
"Browser": [
|
| 567 |
+
"Chrome",
|
| 568 |
+
"Firefox",
|
| 569 |
+
"Internet Explorer",
|
| 570 |
+
"Safari"
|
| 571 |
+
],
|
| 572 |
+
"Cloud": [
|
| 573 |
+
"Dropbox",
|
| 574 |
+
"Google Drive",
|
| 575 |
+
"file sharing",
|
| 576 |
+
"iCloud"
|
| 577 |
+
],
|
| 578 |
+
"Coinbase": [
|
| 579 |
+
"Crypto",
|
| 580 |
+
"Ethereum",
|
| 581 |
+
"blockchain",
|
| 582 |
+
"currencies"
|
| 583 |
+
],
|
| 584 |
+
"Dark Web": [
|
| 585 |
+
"Tor",
|
| 586 |
+
"drugs",
|
| 587 |
+
"trafficking",
|
| 588 |
+
"weapons"
|
| 589 |
+
],
|
| 590 |
+
"Download": [
|
| 591 |
+
"browser",
|
| 592 |
+
"computer",
|
| 593 |
+
"files",
|
| 594 |
+
"images"
|
| 595 |
+
],
|
| 596 |
+
"eBay": [
|
| 597 |
+
"auctions",
|
| 598 |
+
"bidding",
|
| 599 |
+
"buy",
|
| 600 |
+
"sell"
|
| 601 |
+
],
|
| 602 |
+
"eBook": [
|
| 603 |
+
"Amazon",
|
| 604 |
+
"Kindle",
|
| 605 |
+
"books",
|
| 606 |
+
"digital"
|
| 607 |
+
],
|
| 608 |
+
"Emoticon": [
|
| 609 |
+
"emotion",
|
| 610 |
+
"feelings",
|
| 611 |
+
"smiley",
|
| 612 |
+
"symbol"
|
| 613 |
+
],
|
| 614 |
+
"Facebook": [
|
| 615 |
+
"friends",
|
| 616 |
+
"posts",
|
| 617 |
+
"like",
|
| 618 |
+
"social media"
|
| 619 |
+
],
|
| 620 |
+
"Google": [
|
| 621 |
+
"Gmail",
|
| 622 |
+
"Maps",
|
| 623 |
+
"YouTube",
|
| 624 |
+
"advertisement"
|
| 625 |
+
],
|
| 626 |
+
"Hacker": [
|
| 627 |
+
"black hoodie",
|
| 628 |
+
"fraud",
|
| 629 |
+
"password",
|
| 630 |
+
"robbery"
|
| 631 |
+
],
|
| 632 |
+
"Hype": [
|
| 633 |
+
"fans",
|
| 634 |
+
"hashtag",
|
| 635 |
+
"new",
|
| 636 |
+
"social network"
|
| 637 |
+
],
|
| 638 |
+
"Influencer": [
|
| 639 |
+
"VIP",
|
| 640 |
+
"famous",
|
| 641 |
+
"followers",
|
| 642 |
+
"impact"
|
| 643 |
+
],
|
| 644 |
+
"Instagram": [
|
| 645 |
+
"photos",
|
| 646 |
+
"filters",
|
| 647 |
+
"stories",
|
| 648 |
+
"followers"
|
| 649 |
+
],
|
| 650 |
+
"Junk": [
|
| 651 |
+
"email",
|
| 652 |
+
"spam"
|
| 653 |
+
],
|
| 654 |
+
"Login": [
|
| 655 |
+
"accounts",
|
| 656 |
+
"password",
|
| 657 |
+
"profile",
|
| 658 |
+
"username"
|
| 659 |
+
],
|
| 660 |
+
"Logout": [
|
| 661 |
+
"login",
|
| 662 |
+
"profile",
|
| 663 |
+
"sign out"
|
| 664 |
+
],
|
| 665 |
+
"Malware": [
|
| 666 |
+
"dangerous",
|
| 667 |
+
"ransomware",
|
| 668 |
+
"rootkit",
|
| 669 |
+
"trojan"
|
| 670 |
+
],
|
| 671 |
+
"Mention": [
|
| 672 |
+
"@",
|
| 673 |
+
"reference",
|
| 674 |
+
"social networks",
|
| 675 |
+
"username"
|
| 676 |
+
],
|
| 677 |
+
"Nerd": [
|
| 678 |
+
"clever",
|
| 679 |
+
"computers",
|
| 680 |
+
"glasses",
|
| 681 |
+
"internet"
|
| 682 |
+
],
|
| 683 |
+
"Netflix": [
|
| 684 |
+
"shows",
|
| 685 |
+
"streaming",
|
| 686 |
+
"movies",
|
| 687 |
+
"binge"
|
| 688 |
+
],
|
| 689 |
+
"Newsletter": [
|
| 690 |
+
"advertisement",
|
| 691 |
+
"email",
|
| 692 |
+
"information",
|
| 693 |
+
"regular"
|
| 694 |
+
],
|
| 695 |
+
"Online Dating": [
|
| 696 |
+
"boy-/girlfriend",
|
| 697 |
+
"flirt",
|
| 698 |
+
"one night stand",
|
| 699 |
+
"partner"
|
| 700 |
+
],
|
| 701 |
+
"Password": [
|
| 702 |
+
"PIN",
|
| 703 |
+
"login",
|
| 704 |
+
"private",
|
| 705 |
+
"registration"
|
| 706 |
+
],
|
| 707 |
+
"PayPal": [
|
| 708 |
+
"account",
|
| 709 |
+
"online shopping",
|
| 710 |
+
"paying",
|
| 711 |
+
"sending money"
|
| 712 |
+
],
|
| 713 |
+
"Pinterest": [
|
| 714 |
+
"boards",
|
| 715 |
+
"images",
|
| 716 |
+
"quotes",
|
| 717 |
+
"recipies"
|
| 718 |
+
],
|
| 719 |
+
"Privacy": [
|
| 720 |
+
"NSA",
|
| 721 |
+
"Snowden",
|
| 722 |
+
"data",
|
| 723 |
+
"details"
|
| 724 |
+
],
|
| 725 |
+
"Reddit": [
|
| 726 |
+
"frontpage",
|
| 727 |
+
"postings",
|
| 728 |
+
"social network",
|
| 729 |
+
"subs"
|
| 730 |
+
],
|
| 731 |
+
"Signal": [
|
| 732 |
+
"Edward Snowden",
|
| 733 |
+
"WhatsApp",
|
| 734 |
+
"chat",
|
| 735 |
+
"messages"
|
| 736 |
+
],
|
| 737 |
+
"Snapchat": [
|
| 738 |
+
"stories",
|
| 739 |
+
"filters",
|
| 740 |
+
"pictures",
|
| 741 |
+
"disappear"
|
| 742 |
+
],
|
| 743 |
+
"Spam": [
|
| 744 |
+
"advertisement",
|
| 745 |
+
"annoying",
|
| 746 |
+
"email",
|
| 747 |
+
"fraud"
|
| 748 |
+
],
|
| 749 |
+
"Spotify": [
|
| 750 |
+
"listening",
|
| 751 |
+
"music",
|
| 752 |
+
"playlists",
|
| 753 |
+
"radio"
|
| 754 |
+
],
|
| 755 |
+
"Telegram": [
|
| 756 |
+
"Signal",
|
| 757 |
+
"WhatsApp",
|
| 758 |
+
"chat",
|
| 759 |
+
"green"
|
| 760 |
+
],
|
| 761 |
+
"Tidal": [
|
| 762 |
+
"HiFi",
|
| 763 |
+
"listening",
|
| 764 |
+
"music",
|
| 765 |
+
"playlists"
|
| 766 |
+
],
|
| 767 |
+
"Tinder": [
|
| 768 |
+
"app",
|
| 769 |
+
"dating",
|
| 770 |
+
"one night stand",
|
| 771 |
+
"singles"
|
| 772 |
+
],
|
| 773 |
+
"Tweet": [
|
| 774 |
+
"Twitter",
|
| 775 |
+
"posting",
|
| 776 |
+
"short",
|
| 777 |
+
"threads"
|
| 778 |
+
],
|
| 779 |
+
"Twitch": [
|
| 780 |
+
"camera",
|
| 781 |
+
"computer games",
|
| 782 |
+
"gaming",
|
| 783 |
+
"steaming"
|
| 784 |
+
],
|
| 785 |
+
"Twitter": [
|
| 786 |
+
"tweets",
|
| 787 |
+
"hashtags",
|
| 788 |
+
"followers",
|
| 789 |
+
"social media"
|
| 790 |
+
],
|
| 791 |
+
"Update": [
|
| 792 |
+
"application",
|
| 793 |
+
"downloads",
|
| 794 |
+
"new version",
|
| 795 |
+
"software"
|
| 796 |
+
],
|
| 797 |
+
"viral": [
|
| 798 |
+
"clicks",
|
| 799 |
+
"famous",
|
| 800 |
+
"likes",
|
| 801 |
+
"social network"
|
| 802 |
+
],
|
| 803 |
+
"Virus": [
|
| 804 |
+
"computer",
|
| 805 |
+
"dangerous",
|
| 806 |
+
"malware",
|
| 807 |
+
"trojan"
|
| 808 |
+
],
|
| 809 |
+
"VPN": [
|
| 810 |
+
"IP address",
|
| 811 |
+
"anonymous",
|
| 812 |
+
"connection",
|
| 813 |
+
"networks"
|
| 814 |
+
],
|
| 815 |
+
"Webcam": [
|
| 816 |
+
"Skype",
|
| 817 |
+
"Zoom",
|
| 818 |
+
"camera",
|
| 819 |
+
"streaming"
|
| 820 |
+
],
|
| 821 |
+
"WhatsApp": [
|
| 822 |
+
"Chat",
|
| 823 |
+
"Facebook",
|
| 824 |
+
"Signal",
|
| 825 |
+
"green"
|
| 826 |
+
],
|
| 827 |
+
"Wikipedia": [
|
| 828 |
+
"Google",
|
| 829 |
+
"encyclopedia",
|
| 830 |
+
"knowledge",
|
| 831 |
+
"non profit"
|
| 832 |
+
],
|
| 833 |
+
"YouTube": [
|
| 834 |
+
"videos",
|
| 835 |
+
"vlog",
|
| 836 |
+
"subscribe",
|
| 837 |
+
"channel"
|
| 838 |
+
],
|
| 839 |
+
"Oktoberfest": [
|
| 840 |
+
"beer",
|
| 841 |
+
"festival",
|
| 842 |
+
"Munich",
|
| 843 |
+
"celebration"
|
| 844 |
+
],
|
| 845 |
+
"Colosseum": [
|
| 846 |
+
"Rome",
|
| 847 |
+
"Italy",
|
| 848 |
+
"arena",
|
| 849 |
+
"gladiators"
|
| 850 |
+
],
|
| 851 |
+
"Euro": [
|
| 852 |
+
"currency",
|
| 853 |
+
"money",
|
| 854 |
+
"Europe",
|
| 855 |
+
"bank"
|
| 856 |
+
],
|
| 857 |
+
"Alps": [
|
| 858 |
+
"mountains",
|
| 859 |
+
"skiing",
|
| 860 |
+
"snow",
|
| 861 |
+
"Europe"
|
| 862 |
+
],
|
| 863 |
+
"Baguette": [
|
| 864 |
+
"bread",
|
| 865 |
+
"France",
|
| 866 |
+
"bakery",
|
| 867 |
+
"loaf"
|
| 868 |
+
],
|
| 869 |
+
"Tulips": [
|
| 870 |
+
"Netherlands",
|
| 871 |
+
"flowers",
|
| 872 |
+
"spring",
|
| 873 |
+
"colorful"
|
| 874 |
+
],
|
| 875 |
+
"Venice": [
|
| 876 |
+
"Italy",
|
| 877 |
+
"canals",
|
| 878 |
+
"gondola",
|
| 879 |
+
"water"
|
| 880 |
+
],
|
| 881 |
+
"Greece": [
|
| 882 |
+
"islands",
|
| 883 |
+
"ancient",
|
| 884 |
+
"Athens",
|
| 885 |
+
"mythology"
|
| 886 |
+
],
|
| 887 |
+
"Berlin": [
|
| 888 |
+
"capital",
|
| 889 |
+
"Germany",
|
| 890 |
+
"city",
|
| 891 |
+
"history"
|
| 892 |
+
],
|
| 893 |
+
"Elon Musk": [
|
| 894 |
+
"Tesla",
|
| 895 |
+
"SpaceX",
|
| 896 |
+
"Twitter",
|
| 897 |
+
"billionaire"
|
| 898 |
+
],
|
| 899 |
+
"Kim Kardashian": [
|
| 900 |
+
"reality",
|
| 901 |
+
"fashion",
|
| 902 |
+
"makeup",
|
| 903 |
+
"celebrity"
|
| 904 |
+
],
|
| 905 |
+
"Burger": [
|
| 906 |
+
"bun",
|
| 907 |
+
"patty",
|
| 908 |
+
"fast food",
|
| 909 |
+
"cheese"
|
| 910 |
+
],
|
| 911 |
+
"TikTok": [
|
| 912 |
+
"videos",
|
| 913 |
+
"dance",
|
| 914 |
+
"trends",
|
| 915 |
+
"social media"
|
| 916 |
+
],
|
| 917 |
+
"Tom Holland": [
|
| 918 |
+
"Spider-Man",
|
| 919 |
+
"Marvel",
|
| 920 |
+
"actor",
|
| 921 |
+
"British"
|
| 922 |
+
],
|
| 923 |
+
"Sushi": [
|
| 924 |
+
"rice",
|
| 925 |
+
"fish",
|
| 926 |
+
"rolls",
|
| 927 |
+
"Japanese"
|
| 928 |
+
],
|
| 929 |
+
"Cristiano Ronaldo": [
|
| 930 |
+
"football",
|
| 931 |
+
"soccer",
|
| 932 |
+
"goal",
|
| 933 |
+
"Portugal"
|
| 934 |
+
],
|
| 935 |
+
"Taylor Swift": [
|
| 936 |
+
"songs",
|
| 937 |
+
"pop",
|
| 938 |
+
"albums",
|
| 939 |
+
"Grammy"
|
| 940 |
+
],
|
| 941 |
+
"Kylie Jenner": [
|
| 942 |
+
"makeup",
|
| 943 |
+
"beauty",
|
| 944 |
+
"billionaire",
|
| 945 |
+
"influencer"
|
| 946 |
+
],
|
| 947 |
+
"Ice Cream": [
|
| 948 |
+
"dessert",
|
| 949 |
+
"cone",
|
| 950 |
+
"scoop",
|
| 951 |
+
"cold"
|
| 952 |
+
],
|
| 953 |
+
"Dwayne Johnson": [
|
| 954 |
+
"The Rock",
|
| 955 |
+
"actor",
|
| 956 |
+
"wrestling",
|
| 957 |
+
"action"
|
| 958 |
+
],
|
| 959 |
+
"Thor": [
|
| 960 |
+
"Marvel",
|
| 961 |
+
"hammer",
|
| 962 |
+
"Chris Hemsworth",
|
| 963 |
+
"god"
|
| 964 |
+
],
|
| 965 |
+
"Pasta": [
|
| 966 |
+
"Italy",
|
| 967 |
+
"noodles",
|
| 968 |
+
"sauce",
|
| 969 |
+
"spaghetti"
|
| 970 |
+
],
|
| 971 |
+
"Leonardo DiCaprio": [
|
| 972 |
+
"actor",
|
| 973 |
+
"Titanic",
|
| 974 |
+
"Oscar",
|
| 975 |
+
"movies"
|
| 976 |
+
],
|
| 977 |
+
"Donuts": [
|
| 978 |
+
"dessert",
|
| 979 |
+
"ring",
|
| 980 |
+
"sweet",
|
| 981 |
+
"glaze"
|
| 982 |
+
],
|
| 983 |
+
"Spider-Man": [
|
| 984 |
+
"Marvel",
|
| 985 |
+
"web",
|
| 986 |
+
"Peter Parker",
|
| 987 |
+
"superhero"
|
| 988 |
+
],
|
| 989 |
+
"Fries": [
|
| 990 |
+
"potato",
|
| 991 |
+
"fried",
|
| 992 |
+
"salt",
|
| 993 |
+
"fast food"
|
| 994 |
+
],
|
| 995 |
+
"Johnny Depp": [
|
| 996 |
+
"actor",
|
| 997 |
+
"Pirates",
|
| 998 |
+
"Jack Sparrow",
|
| 999 |
+
"movies"
|
| 1000 |
+
],
|
| 1001 |
+
"Frozen": [
|
| 1002 |
+
"Disney",
|
| 1003 |
+
"Elsa",
|
| 1004 |
+
"Anna",
|
| 1005 |
+
"Let It Go"
|
| 1006 |
+
],
|
| 1007 |
+
"K-pop": [
|
| 1008 |
+
"Korea",
|
| 1009 |
+
"music",
|
| 1010 |
+
"BTS",
|
| 1011 |
+
"fans"
|
| 1012 |
+
],
|
| 1013 |
+
"Avocado Toast": [
|
| 1014 |
+
"bread",
|
| 1015 |
+
"brunch",
|
| 1016 |
+
"healthy",
|
| 1017 |
+
"spread"
|
| 1018 |
+
],
|
| 1019 |
+
"Chris Evans": [
|
| 1020 |
+
"Captain America",
|
| 1021 |
+
"Marvel",
|
| 1022 |
+
"actor",
|
| 1023 |
+
"shield"
|
| 1024 |
+
],
|
| 1025 |
+
"Selena Gomez": [
|
| 1026 |
+
"singer",
|
| 1027 |
+
"actor",
|
| 1028 |
+
"Rare",
|
| 1029 |
+
"Disney"
|
| 1030 |
+
],
|
| 1031 |
+
"Nachos": [
|
| 1032 |
+
"chips",
|
| 1033 |
+
"cheese",
|
| 1034 |
+
"Mexican",
|
| 1035 |
+
"snack"
|
| 1036 |
+
],
|
| 1037 |
+
"Lionel Messi": [
|
| 1038 |
+
"football",
|
| 1039 |
+
"soccer",
|
| 1040 |
+
"goal",
|
| 1041 |
+
"Argentina"
|
| 1042 |
+
],
|
| 1043 |
+
"Iron Man": [
|
| 1044 |
+
"Marvel",
|
| 1045 |
+
"Tony Stark",
|
| 1046 |
+
"Robert Downey Jr.",
|
| 1047 |
+
"suit"
|
| 1048 |
+
],
|
| 1049 |
+
"Pancakes": [
|
| 1050 |
+
"breakfast",
|
| 1051 |
+
"syrup",
|
| 1052 |
+
"stack",
|
| 1053 |
+
"fluffy"
|
| 1054 |
+
],
|
| 1055 |
+
"Zendaya": [
|
| 1056 |
+
"actor",
|
| 1057 |
+
"Spider-Man",
|
| 1058 |
+
"fashion",
|
| 1059 |
+
"Euphoria"
|
| 1060 |
+
],
|
| 1061 |
+
"Steak": [
|
| 1062 |
+
"meat",
|
| 1063 |
+
"grill",
|
| 1064 |
+
"beef",
|
| 1065 |
+
"dinner"
|
| 1066 |
+
],
|
| 1067 |
+
"Superman": [
|
| 1068 |
+
"hero",
|
| 1069 |
+
"Clark Kent",
|
| 1070 |
+
"DC Comics",
|
| 1071 |
+
"cape"
|
| 1072 |
+
],
|
| 1073 |
+
"Popcorn": [
|
| 1074 |
+
"movie",
|
| 1075 |
+
"snack",
|
| 1076 |
+
"butter",
|
| 1077 |
+
"microwave"
|
| 1078 |
+
],
|
| 1079 |
+
"Lady Gaga": [
|
| 1080 |
+
"singer",
|
| 1081 |
+
"pop",
|
| 1082 |
+
"meat dress",
|
| 1083 |
+
"Grammy"
|
| 1084 |
+
],
|
| 1085 |
+
"Cheesecake": [
|
| 1086 |
+
"dessert",
|
| 1087 |
+
"cake",
|
| 1088 |
+
"sweet",
|
| 1089 |
+
"cream"
|
| 1090 |
+
],
|
| 1091 |
+
"Barbie": [
|
| 1092 |
+
"doll",
|
| 1093 |
+
"pink",
|
| 1094 |
+
"toy",
|
| 1095 |
+
"Mattel"
|
| 1096 |
+
]
|
| 1097 |
+
}
|