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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+database/flights/clean_Flights_2022.csv filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,494 @@
+import sys
+import os
+sys.path.append(os.path.abspath(os.path.join(os.getcwd(), "..")))
+os.chdir(os.path.dirname(os.path.abspath(__file__)))
+import gradio as gr
+import json
+from tools.flights.apis import Flights
+from tools.accommodations.apis import Accommodations
+from tools.restaurants.apis import Restaurants
+from tools.googleDistanceMatrix.apis import GoogleDistanceMatrix
+from tools.attractions.apis import Attractions
+import pandas as pd
+from gradio.events import Changeable, Streamable, Submittable, on
+from src.utils import *
+from gradio.events import EventListenerMethod
+import math
+
+
+
+# 从文件中读取数据s
+data = load_line_json_data('query.jsonl')
+query_dropdown_text = [f"Query {index}" for index in range(1, len(data)+1)]
+
+
+# 从CSS文件中读取样式
+with open('assets/styles.css', 'r') as css_file:
+    css_content = css_file.read()
+
+flight = Flights()
+accommodations = Accommodations()
+restaurants = Restaurants()
+googleDistanceMatrix = GoogleDistanceMatrix()
+attractions = Attractions()
+
+annotation_idx = 4
+cost = 0
+
+global_user_name = ""
+transportaion_val = ""
+accommodation_val = ""
+breakfast_val = ""
+lunch_val = ""
+dinner_val = ""
+attraction_val = ""
+
+def auto_update_current_cost(*components):
+    global cost
+    cost = 0
+    for i in range(7):
+        # flight
+        if judge_valid_info(components[7+i]):
+            if components[7+i] != '-':
+
+                if 'Flight Number' in components[7+i]:
+                    cost += flight.data[flight.data['Flight Number'] == components[7+i].split('Flight Number: ')[1].split(',')[0]]['Price'].values[0] * data[annotation_idx-1]['people_number']
+
+                elif 'Self-driving' in components[7+i] or 'Taxi' in components[7+i]:
+                    if 'Self-driving' in components[7+i]:
+                        cost += int(components[7+i].split('cost: ')[1]) * math.ceil(data[annotation_idx-1]['people_number'] * 1.0 / 5)
+                    else:
+                        cost += int(components[7+i].split('cost: ')[1]) * math.ceil(data[annotation_idx-1]['people_number'] * 1.0 / 4)
+                
+        # breakfast
+        if judge_valid_info(components[7*2+i]):
+            if components[7*2+i] != '-':
+                name, city = get_valid_name_city(components[7*2+i])
+                cost += restaurants.data[(restaurants.data['Name'] == name) & (restaurants.data['City'] == city)]['Average Cost'].values[0] * data[annotation_idx-1]['people_number']
+        # attraction
+        # lunch
+        if judge_valid_info(components[7*4+i]):
+            if components[7*4+i] != '-':
+                name, city = get_valid_name_city(components[7*4+i])
+                cost += restaurants.data[(restaurants.data['Name'] == name) & (restaurants.data['City'] == city)]['Average Cost'].values[0] * data[annotation_idx-1]['people_number']
+        # dinner
+        if judge_valid_info(components[7*5+i]):
+            if components[7*5+i] != '-':
+                name, city = get_valid_name_city(components[7*5+i])
+                cost += restaurants.data[(restaurants.data['Name'] == name) & (restaurants.data['City'] == city)]['Average Cost'].values[0] * data[annotation_idx-1]['people_number']
+        # accommodation
+        if judge_valid_info(components[7*6+i]):
+            if components[7*6+i] != '-':
+                name, city = get_valid_name_city(components[7*6+i])
+                res = accommodations.data[(accommodations.data['NAME'] == name) & (accommodations.data['city'] == city)]
+                cost += res['price'].values[0] * math.ceil(data[annotation_idx-1]['people_number'] * 1.0 / res['maximum occupancy'].values[0])
+            
+    return gr.Number(label="Current Cost", value=cost, interactive=False,elem_classes="current_cost")
+
+def auto_update_current_cost_number(fn, input_components, output_components):
+        events: list[EventListenerMethod] = []
+        for component in input_components:
+            if isinstance(component, Streamable) and component.streaming:
+                events.append(component.stream)
+            elif isinstance(component, Changeable):
+                events.append(component.change)
+        on(
+            events,
+            fn,
+            input_components,
+            output_components
+        )
+
+def get_google_distance_matrix(mode,departure_city, destination_city):
+    if mode == "Self-driving":
+        return pd.DataFrame(googleDistanceMatrix.run_for_annotation(departure_city, destination_city,'driving'),index=[0])
+    elif mode == "Taxi":
+        return pd.DataFrame(googleDistanceMatrix.run_for_annotation(departure_city, destination_city,'taxi'),index=[0])
+
+def return_list_items(items):
+    return items[0],items[1],items[2],items[3],items[4],items[5],items[6]
+
+def submit_update_options(query_candidate, *components):
+    global query_dropdown_text ,cost
+    global transportaion_val, accommodation_val, breakfast_val, lunch_val, dinner_val, attraction_val
+    json_data = [{} for i in range(7)]
+    new_components = [ None for i in range(len(components))]
+    # write the annotation into the json file
+    cuisine_set = set()
+    for i in range(data[annotation_idx-1]['days']):
+        json_data[i]['days'] = i+1
+        if judge_submit_info(components[i],i+1,'current city',data[annotation_idx-1]):
+            json_data[i]['current_city'] = components[i]
+        if judge_submit_info(components[7+i],i+1,'transportation',data[annotation_idx-1]):
+            json_data[i]['transportation'] = components[7+i]
+        if judge_submit_info(components[7*2+i],i+1,'breakfast',data[annotation_idx-1]):
+            cuisine_set = judge_valid_cuisine(components[7*2+i],data[annotation_idx-1],restaurants.data, cuisine_set)
+            json_data[i]['breakfast'] = components[7*2+i]
+        if judge_submit_info(components[7*3+i],i+1,'attraction',data[annotation_idx-1]):
+            json_data[i]['attraction'] = components[7*3+i]
+        if judge_submit_info(components[7*4+i],i+1,'lunch',data[annotation_idx-1]):
+            cuisine_set = judge_valid_cuisine(components[7*4+i],data[annotation_idx-1],restaurants.data, cuisine_set)
+            json_data[i]['lunch'] = components[7*4+i]
+        if judge_submit_info(components[7*5+i],i+1,'dinner',data[annotation_idx-1]):
+            cuisine_set = judge_valid_cuisine(components[7*5+i],data[annotation_idx-1],restaurants.data, cuisine_set)
+            json_data[i]['dinner'] = components[7*5+i]
+        if judge_submit_info(components[7*6+i],i+1,'accommodation',data[annotation_idx-1],accommodations.data):
+            json_data[i]['accommodation'] = components[7*6+i]
+
+    if data[annotation_idx-1]['local_constraint']['cuisine'] and len(list(cuisine_set)) != len(data[annotation_idx-1]['local_constraint']['cuisine']):
+        raise gr.Error("Please note the cuisine constraints.")
+    
+    consectutive_accommodation = count_consecutive_values(components[7*6:7*6+data[annotation_idx-1]['days']])
+    # print(consectutive_accommodation)
+    # print("")
+    for unit in consectutive_accommodation:
+        # print(unit)
+        if unit and unit[0] not in  ['-',''] and unit!="You don't need to fill in the information for this or later days.":
+            name, city = get_valid_name_city(unit[0])
+            if unit[1] <  accommodations.data[(accommodations.data['NAME'] == name) & (accommodations.data['city'] == city)].iloc[0]['minimum nights']:
+                raise gr.Error(f"Please note the minimum nights of {unit[0]}.")
+            
+    if cost > data[annotation_idx-1]['budget']:
+            raise gr.Error("The current cost is higher than the budget, please modify the information.")
+            # return [gr.Textbox(value="The current cost is higher than the budget, please modify the information.",interactive=False)]*6 + [gr.Dropdown(choices=query_dropdown_text)]
+    
+    # ['is_reasonalbe_visiting_city', 'is_valid_restaurants', 'is_valid_attractions', 'is_valid_transportation', 'is_valid_information_in_current_city', 'is_valid_information_in_sandbox']
+
+    for i in range(data[annotation_idx-1]['days']):
+        new_components[i] = gr.Textbox(label="Current City", value=None,interactive=False)
+        new_components[7+i] = gr.Textbox(label="Transportation", value="-",interactive=False)
+        new_components[7*2+i] = gr.Textbox(label="Breakfast", value=None, interactive=False)
+        new_components[7*3+i] = gr.Textbox(label="Attractions", value=None, interactive=False)
+        new_components[7*4+i] = gr.Textbox(label="Lunch", value=None,interactive=False)
+        new_components[7*5+i] = gr.Textbox(label="Dinner", value=None,interactive=False)
+        new_components[7*6+i] = gr.Textbox(label="Accommodation", value=None,interactive=False)
+
+
+    with open('../data/annotation/{}/annotation_{}.json'.format(global_user_name,annotation_idx), 'w') as f:
+        json.dump(json_data, f)
+
+    transportaion_val = ""
+    accommodation_val = ""
+    breakfast_val = ""
+    lunch_val = ""
+    dinner_val = ""
+    attraction_val = ""
+
+
+    new_options = query_dropdown_text 
+    new_options[annotation_idx-1] = f"Query {annotation_idx} --- Done"  
+    query_dropdown_text  = new_options
+
+    return [gr.Dropdown(choices=new_options)] + new_components + [gr.Textbox(value=None) for _ in range(14)]
+
+
+def update_gloabal_idx(selected_option):
+    global annotation_idx,cost
+    global transportaion_val, accommodation_val, breakfast_val, lunch_val, dinner_val, attraction_val
+    
+    transportaion_val = ""
+    accommodation_val = ""
+    breakfast_val = ""
+    lunch_val = ""
+    dinner_val = ""
+    attraction_val = ""
+
+    annotation_idx = extract_query_number(selected_option)
+    new_components = [ gr.Textbox() for i in range(49)]
+    city_list = get_city_list(data[annotation_idx-1]['days'], data[annotation_idx-1]['org'], data[annotation_idx-1]['dest'])
+    city_drop_down = [None for i in range(63)]
+    date_component_list = [gr.Textbox(value="", interactive=False) for i in range(7)]
+
+    for i in range(data[annotation_idx-1]['days']):
+        new_components[i] = gr.Textbox(label="Current City",value="",interactive=False)
+        new_components[7+i] = gr.Textbox(label="Transportation",value="",interactive=False)
+        new_components[7*2+i] = gr.Textbox(label="Breakfast", value="",interactive=False)
+        new_components[7*3+i] = gr.Textbox(label="Attractions", value="",interactive=False)
+        new_components[7*4+i] = gr.Textbox(label="Lunch", value="",interactive=False)
+        new_components[7*5+i] = gr.Textbox(label="Dinner", value="",interactive=False)
+        new_components[7*6+i] = gr.Textbox(label="Accommodation", value="",interactive=False) 
+
+    for i in range(63):
+        if i % 9 in [0,2,4]:
+            city_drop_down[i] = gr.Radio(label="Departure City",choices=city_list)
+        elif i % 9 in [1,3,5]:
+            city_drop_down[i] = gr.Radio(label="Destination City",choices=city_list)
+        else:
+            city_drop_down[i] = gr.Radio(label="City",choices=city_list)
+    for i in range(data[annotation_idx-1]['days']):
+        date_component_list[i] = gr.Textbox(label="Date", value=data[annotation_idx-1]['date'][i], interactive=False)
+
+    return [create_data_display(css_content,data,annotation_idx),gr.update(visible=True)]+new_components+city_drop_down+date_component_list+[gr.Number(value=cost, interactive=False)]
+
+def Recommend_new(x):
+  return x + ": Highest Cosine Similarity"
+
+def current_city_selection(departure_city, dest_city):
+
+    final_city = ""
+
+    if departure_city == dest_city:
+        final_city = departure_city
+    else:
+        final_city = "from " + departure_city + " to " + dest_city
+    
+    return gr.Textbox(label="Current City", value=final_city, interactive=False)
+
+def tab_hint(current_city,transportaion,breakfast,attraction,lunch,dinner,accommodation,evt:gr.SelectData):
+    global transportaion_val, accommodation_val, breakfast_val, lunch_val, dinner_val, attraction_val
+    
+    transportaion_val = ""
+    accommodation_val = ""
+    breakfast_val = breakfast
+    lunch_val = lunch
+    dinner_val = dinner
+    attraction_val = attraction
+
+
+    if data[annotation_idx-1]['days'] <= evt.index:
+        return [gr.Textbox(value="You don't need to fill in the information for this or later days.",interactive=False)]*7 + [gr.Dropdown(choices=query_dropdown_text)] + [gr.Textbox(value="") for _ in range(2)]
+    else:
+        return current_city, transportaion,breakfast,attraction,lunch,dinner,accommodation, gr.Dropdown(choices=query_dropdown_text),gr.Textbox(value=""), gr.Textbox(value="")
+
+css = """
+#submit_button {background: #00a1b8;} 
+#clear_button {background: #ff8069;}
+"""
+
+with gr.Blocks(css=css) as demo:
+    gr.HTML(f"""
+        <div style="text-align: center;">
+            <h2>TravelBench Environment</h2>
+        </div>
+    """)
+    gr.HTML("<hr>")  
+    query_selection = gr.Dropdown(query_dropdown_text, label="Annotation Query")
+    annotation_button = gr.ClearButton(value="Search")
+    gr.HTML("<hr>")  
+    transportaion_list = []
+    breakfast_list = []
+    attraction_list = []
+    lunch_list = []
+    dinner_list = []
+    accommodation_list = []
+    current_city_list = []
+
+    city_component_list = []
+    date_component_list = []
+    filtering_keyword_list = []
+
+    with gr.Column(visible=False) as component:
+        query_display = gr.HTML(create_data_display(css_content,data,annotation_idx))  
+        current_cost = gr.Number(label="Current Cost", value=0, interactive=False,elem_classes="current_cost")
+        with gr.Row():
+            tabs = gr.Tabs()
+            with tabs:
+                for i in range(7):
+                    with gr.Tab(label=f"Day {i+1}", id=(i+1)) as tab:
+                        with gr.Row():
+                            with gr.Column():
+                                current_city = gr.Textbox(label="Current City", interactive=False,value="")
+                                transportaion = gr.Textbox(label="Transportation",interactive=False,value="")
+                                breakfast = gr.Textbox(label="Breakfast",  interactive=False,value="")
+                                attraction = gr.Textbox(label="Attractions",interactive=False,value="")
+                                lunch = gr.Textbox(label="Lunch", interactive=False,value="")
+                                dinner = gr.Textbox(label="Dinner", interactive=False,value="")
+                                accommodation = gr.Textbox(label="Accommodation",interactive=False,value="")
+
+                                current_city_list.append(current_city)
+                                transportaion_list.append(transportaion)
+                                breakfast_list.append(breakfast)
+                                attraction_list.append(attraction)
+                                lunch_list.append(lunch)
+                                dinner_list.append(dinner)
+                                accommodation_list.append(accommodation)
+
+                            with gr.Column():
+
+                                with gr.Tab(label=f'City Selection'):
+                                    departure_city = gr.Radio(label="Departure City")
+                                    destination_city = gr.Radio(label="Destination City")
+                                    city_component_list += [departure_city,destination_city]
+                                    btn = gr.Button("Done")
+                                    # output = gr.HTML("")
+                                    annotation_button.add(components=[departure_city,destination_city])
+                                    btn.click(current_city_selection,inputs=[departure_city,destination_city],outputs=current_city)
+                                    # output.select(on_row_selected, inputs=[city],outputs=attraction)
+                                    # btn_clear.click(clear,inputs=None,outputs=attraction)
+
+                                with gr.Tab(label=f'Flight'):
+                                    
+                                    transportaion_val = ""
+
+                                    def on_row_selected(dep_city,dest_city,evt:gr.SelectData):
+                                        global transportaion_val
+                                        if evt.index[1] == 0:
+                                            transportaion_val = "Flight Number: " + str(evt.value) + f", from {dep_city} to {dest_city}, Departure Time: {flight.data[flight.data['Flight Number']==evt.value].iloc[0]['DepTime']}, Arrival Time: {flight.data[flight.data['Flight Number']==evt.value].iloc[0]['ArrTime']}"
+                                            return transportaion_val
+                                        else:
+                                            return transportaion_val
+                        
+                                    departure_city = gr.Radio(label="Departure City")
+                                    destination_city = gr.Radio(label="Destination City")
+                                    city_component_list += [departure_city, destination_city]
+                                    date = gr.Textbox(label="Date", interactive=False)
+                                    date_component_list.append(date)
+                                    btn = gr.Button("Search")
+                                    clean_btn = gr.Button("Skip")
+                                    output = gr.Dataframe(flight.run_for_annotation('','',''), interactive=False)
+                                    annotation_button.add(components=[output])
+                                    btn.click(flight.run_for_annotation,inputs=[departure_city, destination_city, date],outputs=output)
+                                    output.select(on_row_selected, inputs=[departure_city, destination_city],outputs=[transportaion])
+                                    clean_btn.click(lambda:"-",inputs=None,outputs=[transportaion])
+
+
+                                with gr.Tab(label='Driving'):
+
+                                    def on_row_selected(org, dest, mode,data, evt:gr.SelectData):
+                                        global transportaion_val
+                                        data_dict = data.to_dict(orient = 'split')['data'][0]
+
+                                        transportaion_val = f"{mode}, from {org} to {dest}, duration: {data_dict[2]}, distance: {data_dict[1]}, cost: {data_dict[0]}"
+
+                                        return transportaion_val
+                                    
+                                    transportation_mode = gr.Radio(["Self-driving", "Taxi"], label="Mode")
+
+
+                                    departure_city = gr.Radio(label="Departure City")
+                                    destination_city = gr.Radio(label="Destination City")
+                                    city_component_list += [departure_city, destination_city]
+                                    btn = gr.Button("Search")
+                                    clean_btn = gr.Button("Skip")
+                                    output =  gr.Dataframe(
+                                            headers=["duration", "distance", "cost"],
+                                            datatype=["str", "str", "str"],
+                                            value=["", "", ""],
+                                            row_count=1,
+                                            col_count=(3, "fixed"),interactive=False
+                                        )
+                                    annotation_button.add(components=[output])
+                                    btn.click(get_google_distance_matrix, inputs=[transportation_mode, departure_city, destination_city],outputs=output)
+                                    clean_btn.click(lambda:"-",inputs=None,outputs=[transportaion])
+                                    output.select(on_row_selected, inputs=[departure_city,destination_city,transportation_mode,output],outputs=transportaion)
+                                
+                                with gr.Tab(label='Accommodation'):
+                                    
+                                    accommodation_val = "" 
+
+                                    def on_row_selected(city,evt:gr.SelectData):
+                                        global  accommodation_val
+                                        if evt.index[1] == 0:
+                                            accommodation_val = str(evt.value) + f", {city}"
+                                        return accommodation_val
+                                    
+                                    def search(city, filtering_keyword=None):
+                                        # if filtering_keyword in [" ",""]:
+                                            return accommodations.run_for_annotation(city)
+                                        # else:
+                                        #     return_data = accommodations.run_for_annotation(city)
+                                        #     return return_data[~return_data['house_rules'].str.contains(filtering_keyword)]
+                                    
+                                    city = gr.Radio(label="City")
+                                    # filtering_keyword = gr.Textbox(label="Forbidden keyword (only for hotel rule)",value="")
+                                    # filtering_keyword_list.append(filtering_keyword)
+                                    city_component_list += [city]
+                                    btn = gr.Button("Search")
+                                    skip_btn = gr.Button("Skip")
+                                    output = gr.Dataframe(accommodations.run_for_annotation(''), interactive=False)
+                                    annotation_button.add(components=[output])
+                                    btn.click(search,inputs=[city],outputs=output)
+                                    output.select(on_row_selected, inputs=[city],outputs=accommodation)
+                                    skip_btn.click(lambda:"-",inputs=None,outputs=accommodation)
+
+                                with gr.Tab(label='Restaurant'):
+                                    breakfast_val = ""
+                                    lunch_val = ""
+                                    dinner_val = ""
+
+                                    def on_row_selected(city, meal_type, evt: gr.SelectData):
+                                        global breakfast_val, lunch_val, dinner_val
+                                        if evt.index[1] == 0:
+                                            if meal_type == "Breakfast":
+                                                breakfast_val = str(evt.value) + f", {city}"
+                                            elif meal_type == "Lunch":
+                                                lunch_val = str(evt.value) + f", {city}"
+                                            elif meal_type == "Dinner":
+                                                dinner_val = str(evt.value) + f", {city}"
+                                        return breakfast_val, lunch_val, dinner_val
+
+                                    def skip(meal_type):
+                                        global breakfast_val, lunch_val, dinner_val
+                                        if meal_type == "Breakfast":
+                                            breakfast_val = "-"
+                                        elif meal_type == "Lunch":
+                                            lunch_val = "-"
+                                        elif meal_type == "Dinner":
+                                            dinner_val = "-"
+                                        return breakfast_val, lunch_val, dinner_val
+                                    
+                                    def search(city, filtering_keyword=None):
+                                        # if filtering_keyword in [" ",""]:
+                                            return restaurants.run_for_annotation(city)
+                                        # else:
+                                        #     return_data = restaurants.run_for_annotation(city)
+                                        #     return return_data[return_data['Cuisines'].str.contains(filtering_keyword)]
+
+                                    city = gr.Radio(label="City")
+                                    # filtering_keyword = gr.Textbox(label="Contain keyword",value="")
+                                    # filtering_keyword_list.append(filtering_keyword)
+                                    city_component_list += [city]
+                                    btn = gr.Button("Search")
+                                    skip_btn = gr.Button("Skip")
+                                    choice = gr.Radio(["Breakfast", "Lunch", "Dinner"], label="Meal Type")
+                                    annotation_button.add(components=[choice])
+                                    output = gr.Dataframe(restaurants.run_for_annotation(''), interactive=False)
+                                    annotation_button.add(components=[output])
+                                    btn.click(search,inputs=[city],outputs=output)
+                                    # according to the meal type to select the outputs - breakfast, lunch, dinner
+                                    output.select(on_row_selected, inputs=[city,choice],outputs=[breakfast, lunch, dinner])
+
+                                    skip_btn.click(skip,inputs=[choice],outputs=[breakfast, lunch, dinner])
+
+                                with gr.Tab(label='Attraction'):
+
+                                    attraction_val = "" 
+
+                                    def on_row_selected(city, evt:gr.SelectData):
+                                        global attraction_val
+                                        attraction_val = attraction_val.replace("-","")
+                                        if evt.index[1] == 0:
+                                            attraction_val += evt.value + ', '+ city + ";"
+                                        return attraction_val
+                                    
+                                    def clear():
+                                        global attraction_val
+                                        attraction_val = ""
+                                        return attraction_val
+                                    
+                                        
+                                    city = gr.Radio(label="City")
+                                    city_component_list += [city]
+                                    btn = gr.Button("Search")
+                                    btn_clear = gr.Button("Clear")
+                                    btn_skip = gr.Button("Skip")
+                                    output = gr.Dataframe(attractions.run_for_annotation(''), interactive=False)
+                                    annotation_button.add(components=[output])
+                                    btn.click(attractions.run_for_annotation,inputs=[city],outputs=output)
+                                    output.select(on_row_selected, inputs=[city],outputs=attraction)
+                                    btn_clear.click(clear,inputs=None,outputs=attraction)
+                                    btn_skip.click(lambda:"-",inputs=None,outputs=attraction)
+
+                        tab.select(tab_hint, inputs=[current_city,transportaion,breakfast,attraction,lunch,dinner,accommodation],outputs=[current_city, transportaion,breakfast,attraction,lunch,dinner,accommodation, query_selection]+filtering_keyword_list[-2:])
+    component_list = current_city_list + transportaion_list + breakfast_list + attraction_list + lunch_list + dinner_list + accommodation_list
+    # clear_button = gr.ClearButton(components=component_list,value="Clear")
+    input_args = [query_selection] + component_list
+    auto_update_current_cost_number(auto_update_current_cost, component_list, [current_cost])
+    # b3.click(Recommend_new, inputs=query_selection, outputs=new_title)
+
+    annotation_button.add(components=city_component_list)
+    annotation_button.click(update_gloabal_idx, inputs=[query_selection], outputs=[query_display,component]+component_list+city_component_list+date_component_list+[current_cost])
+
+if __name__ == "__main__":
+
+    demo.launch(debug=True)

assets/styles.css

@@ -0,0 +1,39 @@
+/* styles.css */
+.highlighted {
+    color: black;                       
+    background-color: #E0F7FA;          
+    padding: 4px 8px;                   
+    text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.1);
+    border-radius: 5px;
+    display: inline-block;               
+    margin-right: 10px;                 
+    margin-bottom: 10px;  
+}
+
+.highlighted-alt {
+    color: black;
+    background-color: #B2EBF2;          
+    padding: 4px 8px;
+    text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.1);
+    border-radius: 5px;
+    display: inline-block;          
+    margin-right: 10px;          
+    margin-bottom: 10px; 
+}
+
+.query-highlighted {
+    color: black;
+    background-color: #C8E6C9; 
+    padding: 8px 12px;
+    text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.1);
+    border-radius: 5px;
+    font-size: 1.2em;  
+    display: inline-block;
+    margin-bottom: 10px;  
+}
+
+.submit_button{
+    background: green;
+    background-color: green;
+    color: #a3926a;
+}

database/background/citySet.txt

@@ -0,0 +1,311 @@
+San Diego
+Pellston
+Buffalo
+Charlotte Amalie
+Flagstaff
+Evansville
+Hilo
+Twin Falls
+Newark
+State College
+Johnstown
+Montgomery
+Redding
+Lynchburg
+South Bend
+Sarasota
+Sioux Falls
+Paducah
+Kahului
+Atlantic City
+Bemidji
+Toledo
+Abilene
+Sacramento
+Amarillo
+Moline
+Hilton Head
+Manhattan
+Minneapolis
+Fort Myers
+Roswell
+Harlingen
+Seattle
+Manchester
+Gulfport
+Gainesville
+Pago Pago
+Wrangell
+Augusta
+Waterloo
+Yuma
+Saipan
+Christiansted
+North Bend
+Richmond
+Albuquerque
+Nashville
+Aberdeen
+Harrisburg
+Fort Wayne
+Green Bay
+Wenatchee
+Santa Fe
+St. Petersburg
+Belleville
+Greensboro
+Lake Charles
+Traverse City
+Erie
+Niagara Falls
+Pocatello
+Idaho Falls
+Alpena
+Wilmington
+Ontario
+Iron Mountain
+Lubbock
+Helena
+Kalamazoo
+Cleveland
+Grand Island
+New Bern
+Melbourne
+Bristol
+Orlando
+Bismarck
+Fresno
+Billings
+Daytona Beach
+College Station
+Jacksonville
+Salt Lake City
+Corpus Christi
+Florence
+Moab
+Grand Forks
+Las Vegas
+Fairbanks
+Petersburg
+Wichita
+Rhinelander
+Kansas City
+Dothan
+Alamosa
+Adak Island
+Islip
+Wichita Falls
+Presque Isle
+San Luis Obispo
+Dayton
+Fort Smith
+Martha's Vineyard
+Portland
+Waco
+New York
+Columbus
+Tampa
+Little Rock
+Kona
+Clarksburg
+San Angelo
+Saginaw
+Houston
+Duluth
+Valparaiso
+Phoenix
+Oakland
+Watertown
+Ogden
+Cedar Rapids
+Cape Girardeau
+Sun Valley
+Sault Ste. Marie
+Trenton
+Missoula
+Pasco
+Brainerd
+Newburgh
+Gustavus
+Branson
+Providence
+Minot
+Huntsville
+San Antonio
+Marquette
+Owensboro
+Del Rio
+Portsmouth
+Bloomington
+Lexington
+Santa Barbara
+Baltimore
+Panama City
+Kodiak
+Yakima
+Vernal
+Salisbury
+Mission
+Newport News
+Charlottesville
+Grand Junction
+Baton Rouge
+Beaumont
+Staunton
+Kalispell
+Key West
+Worcester
+West Palm Beach
+Boise
+Grand Rapids
+Salina
+Fort Leonard Wood
+Walla Walla
+Everett
+Dillingham
+Lansing
+Madison
+Victoria
+Sioux City
+Hattiesburg
+Stockton
+Anchorage
+Charlotte
+Jamestown
+Laramie
+Decatur
+Durango
+Longview
+Syracuse
+St. Cloud
+Santa Rosa
+Bakersfield
+North Platte
+La Crosse
+Plattsburgh
+Concord
+Atlanta
+Provo
+Ogdensburg
+Ithaca
+Colorado Springs
+Washington
+Williston
+Tulsa
+Midland
+Champaign
+Devils Lake
+Greer
+Muskegon
+Hibbing
+Santa Ana
+Ponce
+Prescott
+Indianapolis
+International Falls
+Rapid City
+Ketchikan
+St. Louis
+Santa Maria
+Elmira
+Alexandria
+San Jose
+Tucson
+San Juan
+Dubuque
+Burbank
+Gunnison
+Cedar City
+Hyannis
+Raleigh
+Norfolk
+New Orleans
+Medford
+White Plains
+Oklahoma City
+Chicago
+El Paso
+Rockford
+Aguadilla
+Omaha
+Scottsbluff
+Yakutat
+Arcata
+Spokane
+Brownsville
+Bend
+Hagerstown
+Peoria
+Appleton
+Roanoke
+Eugene
+Rock Springs
+Dodge City
+Austin
+Miami
+Dallas
+Mosinee
+Killeen
+Lihue
+Pittsburgh
+Tallahassee
+Butte
+Lawton
+Honolulu
+Greenville
+Juneau
+Myrtle Beach
+Boston
+Charleston
+Latrobe
+Knoxville
+Denver
+Bangor
+Albany
+Punta Gorda
+Fort Lauderdale
+Philadelphia
+Binghamton
+Great Falls
+Shreveport
+Asheville
+Cheyenne
+Milwaukee
+Nome
+Laredo
+Des Moines
+Fayetteville
+Lewisburg
+Fort Dodge
+Cody
+Chattanooga
+Deadhorse
+Kotzebue
+Sitka
+Bozeman
+Palm Springs
+Memphis
+Nantucket
+Texarkana
+Lewiston
+Valdosta
+Birmingham
+Scranton
+Pensacola
+Hancock
+Los Angeles
+Mason City
+Savannah
+West Yellowstone
+Long Beach
+Reno
+Akron
+Louisville
+Hartford
+Cincinnati
+Rochester
+San Francisco
+Detroit
+Monterey
+Escanaba
+Eau Claire

database/background/citySet_with_states.txt

@@ -0,0 +1,312 @@
+San Diego	California
+Pellston	Michigan
+Buffalo	New York
+Charlotte Amalie	St. Thomas
+Flagstaff	Arizona
+Evansville	Indiana
+Hilo	Hawaii
+Twin Falls	Idaho
+Newark	New Jersey
+State College	Pennsylvania
+Johnstown	Pennsylvania
+Charleston	South Carolina
+Montgomery	Alabama
+Redding	California
+Lynchburg	Virginia
+South Bend	Indiana
+Sarasota	Florida
+Sioux Falls	South Dakota
+Paducah	Kentucky
+Kahului	Hawaii
+Atlantic City	New Jersey
+Bemidji	Minnesota
+Toledo	Ohio
+Abilene	Texas
+Sacramento	California
+Amarillo	Texas
+Moline	Illinois
+Hilton Head	South Carolina
+Manhattan	New York
+Minneapolis	Minnesota
+Fort Myers	Florida
+Roswell	New Mexico
+Harlingen	Texas
+Seattle	Washington
+Manchester	England
+Gulfport	Mississippi
+Gainesville	Florida
+Pago Pago	Eastern District
+Wrangell	Alaska
+Augusta	Georgia
+Waterloo	Wallonia
+Yuma	Arizona
+Saipan	Saipan
+Christiansted	St. Croix
+North Bend	Oregon
+Richmond	Virginia
+Albuquerque	New Mexico
+Nashville	Tennessee
+Aberdeen	Scotland
+Harrisburg	Pennsylvania
+Fort Wayne	Indiana
+Green Bay	Wisconsin
+Wenatchee	Washington
+Santa Fe	New Mexico
+St. Petersburg	Saint Petersburg
+Belleville	Illinois
+Greensboro	North Carolina
+Lake Charles	Louisiana
+Traverse City	Michigan
+Erie	Pennsylvania
+Niagara Falls	New York
+Pocatello	Idaho
+Idaho Falls	Idaho
+Alpena	Michigan
+Wilmington	North Carolina
+Ontario	Ontario
+Iron Mountain	Michigan
+Lubbock	Texas
+Helena	Montana
+Kalamazoo	Michigan
+Cleveland	Ohio
+Grand Island	Nebraska
+New Bern	North Carolina
+Melbourne	Victoria
+Bristol	Tennessee
+Orlando	Florida
+Bismarck	North Dakota
+Fresno	California
+Billings	Montana
+Jackson	Mississippi
+Daytona Beach	Florida
+College Station	Texas
+Jacksonville	Florida
+Salt Lake City	Utah
+Corpus Christi	Texas
+Florence	Tuscany
+Moab	Utah
+Grand Forks	North Dakota
+Las Vegas	Nevada
+Fairbanks	Alaska
+Petersburg	Virginia
+Wichita	Kansas
+Rhinelander	Wisconsin
+Kansas City	Missouri
+Dothan	Alabama
+Alamosa	Colorado
+Adak Island	Alaska
+Islip	New York
+Wichita Falls	Texas
+Presque Isle	Maine
+San Luis Obispo	California
+Dayton	Ohio
+Fort Smith	Arkansas
+Martha's Vineyard	Massachusetts
+Portland	Oregon
+Waco	Texas
+New York	New York
+Columbus	Ohio
+Tampa	Florida
+Little Rock	Arkansas
+Kona	Hawaii
+Clarksburg	West Virginia
+San Angelo	Texas
+Saginaw	Michigan
+Houston	Texas
+Duluth	Minnesota
+Valparaiso	Indiana
+Phoenix	Arizona
+Oakland	California
+Watertown	New York
+Ogden	Utah
+Cedar Rapids	Iowa
+Cape Girardeau	Missouri
+Sun Valley	Idaho
+Sault Ste. Marie	Ontario
+Trenton	New Jersey
+Missoula	Montana
+Pasco	Washington
+Brainerd	Minnesota
+Newburgh	New York
+Gustavus	Minnesota
+Branson	Missouri
+Providence	Rhode Island
+Minot	North Dakota
+Huntsville	Alabama
+San Antonio	Texas
+Marquette	Wisconsin
+Owensboro	Kentucky
+Del Rio	Texas
+Portsmouth	England
+Bloomington	Illinois
+Lexington	Kentucky
+Santa Barbara	California
+Baltimore	Maryland
+Panama City	Florida
+Kodiak	Alaska
+Yakima	Washington
+Vernal	Utah
+Salisbury	Maryland
+Mission	Texas
+Newport News	Virginia
+Charlottesville	Virginia
+Grand Junction	Colorado
+Baton Rouge	Louisiana
+Beaumont	Texas
+Staunton	Virginia
+Kalispell	Montana
+Key West	Florida
+Worcester	England
+West Palm Beach	Florida
+Boise	Idaho
+Grand Rapids	Michigan
+Salina	Kansas
+Fort Leonard Wood	Missouri
+Walla Walla	Washington
+Everett	Washington
+Dillingham	Alaska
+Lansing	Michigan
+Madison	Wisconsin
+Victoria	Victoria
+Sioux City	Iowa
+Hattiesburg	Mississippi
+Stockton	California
+Anchorage	Alaska
+Charlotte	North Carolina
+Jamestown	Virginia
+Laramie	Wyoming
+Decatur	Georgia
+Durango	Colorado
+Longview	Texas
+Syracuse	New York
+St. Cloud	Minnesota
+Santa Rosa	California
+Bakersfield	California
+North Platte	Nebraska
+La Crosse	Wisconsin
+Plattsburgh	New York
+Concord	New Hampshire
+Atlanta	Georgia
+Provo	Utah
+Ogdensburg	New York
+Ithaca	New York
+Colorado Springs	Colorado
+Washington	District of Columbia
+Williston	North Dakota
+Tulsa	Oklahoma
+Midland	Texas
+Champaign	Illinois
+Devils Lake	Wisconsin
+Greer	South Carolina
+Muskegon	Michigan
+Hibbing	Minnesota
+Santa Ana	California
+Ponce	Ponce
+Prescott	Arizona
+Indianapolis	Indiana
+International Falls	Minnesota
+Rapid City	South Dakota
+Ketchikan	Alaska
+St. Louis	Missouri
+Santa Maria	California
+Elmira	New York
+Alexandria	Alexandria Governorate
+San Jose	California
+Tucson	Arizona
+San Juan	San Juan
+Dubuque	Iowa
+Burbank	California
+Gunnison	Colorado
+Cedar City	Utah
+Hyannis	Massachusetts
+Raleigh	North Carolina
+Norfolk	Virginia
+New Orleans	Louisiana
+Medford	Oregon
+White Plains	New York
+Oklahoma City	Oklahoma
+Chicago	Illinois
+El Paso	Texas
+Rockford	Illinois
+Aguadilla	Aguadilla
+Omaha	Nebraska
+Scottsbluff	Nebraska
+Yakutat	Alaska
+Arcata	California
+Spokane	Washington
+Brownsville	Texas
+Bend	Oregon
+Hagerstown	Maryland
+Peoria	Illinois
+Appleton	Wisconsin
+Roanoke	Virginia
+Eugene	Oregon
+Rock Springs	Wyoming
+Dodge City	Kansas
+Austin	Texas
+Miami	Florida
+Dallas	Texas
+Mosinee	Wisconsin
+Killeen	Texas
+Lihue	Hawaii
+Pittsburgh	Pennsylvania
+Tallahassee	Florida
+Butte	California
+Lawton	Oklahoma
+Honolulu	Hawaii
+Greenville	South Carolina
+Juneau	Alaska
+Myrtle Beach	South Carolina
+Boston	Massachusetts
+Latrobe	Pennsylvania
+Knoxville	Tennessee
+Denver	Colorado
+Bangor	Maine
+Albany	New York
+Punta Gorda	Florida
+Fort Lauderdale	Florida
+Philadelphia	Pennsylvania
+Binghamton	New York
+Great Falls	Montana
+Shreveport	Louisiana
+Asheville	North Carolina
+Cheyenne	Wyoming
+Milwaukee	Wisconsin
+Nome	Alaska
+Laredo	Texas
+Des Moines	Iowa
+Fayetteville	North Carolina
+Lewisburg	Pennsylvania
+Fort Dodge	Iowa
+Cody	Wyoming
+Chattanooga	Tennessee
+Deadhorse	Alaska
+Kotzebue	Alaska
+Sitka	Alaska
+Bozeman	Montana
+Palm Springs	California
+Memphis	Tennessee
+Nantucket	Massachusetts
+Texarkana	Texas
+Lewiston	Idaho
+Valdosta	Georgia
+Birmingham	England
+Scranton	Pennsylvania
+Pensacola	Florida
+Hancock	Michigan
+Los Angeles	California
+Mason City	Iowa
+Savannah	Georgia
+West Yellowstone	Montana
+Long Beach	California
+Reno	Nevada
+Akron	Ohio
+Louisville	Kentucky
+Hartford	Connecticut
+Cincinnati	Ohio
+Rochester	New York
+San Francisco	California
+Detroit	Michigan
+Monterey	California
+Escanaba	Michigan
+Eau Claire	Wisconsin

database/background/clean_data.py

@@ -0,0 +1,14 @@
+with open('database/background/citySet.txt','r') as f:
+    city_set = f.read().strip().split('\n')
+
+with open('database/background/citySet_with_states.txt','r') as f:
+    lines = f.read().strip().split('\n')
+    data = []
+    for unit in lines:
+        if unit.split('\t')[0] in city_set:
+            data.append(unit)
+
+with open('database/background/citySet_with_states.txt','w') as f:
+    for unit in data:
+        f.write(unit + '\n')
+    f.close()

database/background/get_state_set.py

@@ -0,0 +1,22 @@
+import os
+# print now directory
+print(os.getcwd())
+state_set = set()
+city_set = set()
+with open('database/background/citySet_with_states.txt','r') as f:
+    city_set = f.read().strip().split('\n')
+    for city in city_set:
+        city_name = city.split('\t')[0]
+        state_name = city.split('\t')[1]
+        state_set.add(state_name)
+        city_set.add(city_name)
+        # write to new file
+    f.close()
+# with open('database/background/stateSet.txt', 'a') as f:
+#     for state_name in state_set:
+#         f.write(state_name.split('\\')[0] + '\n')
+#     f.close()
+with open('database/background/citySet_2.txt', 'a') as f:
+    for city_name in city_set:
+        f.write(city_name.split('\\')[0] + '\n')
+    f.close()

database/background/stateSet.txt

@@ -0,0 +1,65 @@
+Wallonia
+St. Thomas
+Alaska
+Washington
+Kansas
+Scotland
+Michigan
+Eastern District
+New Jersey
+Utah
+Alexandria Governorate
+North Dakota
+Connecticut
+West Virginia
+Aguadilla
+North Carolina
+Ohio
+Colorado
+Arkansas
+New York
+Mississippi
+San Juan
+Minnesota
+California
+Maine
+Nebraska
+Idaho
+Alabama
+Texas
+Maryland
+England
+New Mexico
+South Carolina
+Montana
+Ponce
+Tennessee
+Florida
+Oklahoma
+Hawaii
+New Hampshire
+Iowa
+Oregon
+Wyoming
+Pennsylvania
+Tuscany
+Virginia
+Indiana
+Missouri
+District of Columbia
+Saint Petersburg
+Nevada
+Massachusetts
+Louisiana
+Wisconsin
+Saipan
+Ontario
+St. Croix
+Kentucky
+South Dakota
+Arizona
+Georgia
+Rhode Island
+Illinois
+None
+Victoria

database/background/test.py

@@ -0,0 +1,8 @@
+
+f = open('/home/xj/toolAugEnv/code/toolConstraint/database/background/citySet.txt','r').read().strip().split('\n')
+citySet = []
+for line in f:
+    if line not in citySet:
+        citySet.append(line.strip())
+    else:
+        print(line)

database/flights/clean_Flights_2022.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8dafdb0e3f8b79ce599a1e612a772865295bc226b46e5fb278368f7255b11cee
+size 304807007

evaluataion/commonsenseConstraint.py

@@ -0,0 +1,547 @@
+from src.utils import get_valid_name_city,extract_before_parenthesis,extract_numbers_from_filenames
+from tools.flights.apis import Flights
+from tools.accommodations.apis import Accommodations
+from tools.restaurants.apis import Restaurants
+from tools.googleDistanceMatrix.apis import GoogleDistanceMatrix
+from tools.attractions.apis import Attractions
+import math
+import json
+import re   
+import os
+import sys
+from tqdm import tqdm
+import argparse
+
+sys.path.append(os.path.abspath(os.path.join(os.getcwd(), "..")))
+os.chdir(os.path.dirname(os.path.abspath(__file__)))
+
+flight = Flights()
+accommodation = Accommodations()
+restaurants = Restaurants()
+googleDistanceMatrix = GoogleDistanceMatrix()
+attractions = Attractions()
+
+city_state_set = open('/home/user/app/database/background/citySet_with_states.txt','r').read().split('\n')
+city_state_map = {x:y for x,y in [unit.split('\t') for unit in city_state_set]}
+
+
+def load_line_json_data(filename):
+    data = []
+    with open(filename, 'r', encoding='utf-8') as f:
+        for line in f.read().strip().split('\n'):
+            unit = json.loads(line)
+            data.append(unit)
+    return data
+
+
+def count_consecutive_values(lst):
+    if not lst:
+        return []
+
+    result = []
+    current_string = lst[0]
+    count = 1
+
+    for i in range(1, len(lst)):
+        if lst[i] == current_string:
+            count += 1
+        else:
+            result.append((current_string, count))
+            current_string = lst[i]
+            count = 1
+
+    result.append((current_string, count))  # Add the last group of values
+    return result
+
+
+def transportation_match(text: str):
+
+    if 'taxi' in text.lower():
+        return 'Taxi'
+    
+    elif 'self-driving' in text.lower():
+        return 'Self-driving'
+    
+    elif 'flight' in text.lower():
+        return 'Flight'
+
+
+def extract_from_to(text: str):
+    """
+    Extracts 'A' and 'B' from the format "from A to B" in the given text, with B ending at a comma or the end of the string.
+    
+    Args:
+    - text (str): The input string.
+    
+    Returns:
+    - tuple: A tuple containing 'A' and 'B'. If no match is found, returns (None, None).
+    """
+    pattern = r"from\s+(.+?)\s+to\s+([^,]+)(?=[,\s]|$)"
+    matches = re.search(pattern, text)
+    return matches.groups() if matches else (None, None)
+
+
+
+def is_valid_city_sequence(city_list):
+    """
+    Checks if the city sequence is valid. A valid sequence has every city (except the first and last) 
+    appearing consecutively, and no city should appear again once its sequence is over.
+    
+    Args:
+    - city_list (list): List of cities.
+    
+    Returns:
+    - bool: True if the sequence is valid, False otherwise.
+    """
+    
+    # If the list has less than 3 cities, it's invalid.
+    if len(city_list) < 3:
+        return False
+    
+    # Set to keep track of visited cities
+    visited_cities = set()
+    
+    i = 0
+    while i < len(city_list):
+        city = city_list[i]
+        
+        # If the city was already visited, it's invalid.
+        if city in visited_cities and (i != 0 and i != len(city_list) - 1):
+            return False
+        
+        # Count the consecutive occurrences of the city
+        count = 0
+        while i < len(city_list) and city_list[i] == city:
+            count += 1
+            i += 1
+        
+        # If the city appeared only once in the medium, it's invalid.
+        if count == 1 and 0 < i - 1 < len(city_list) - 1:
+            return False
+        
+        visited_cities.add(city)
+    
+    return True
+
+
+
+def is_reasonalbe_visiting_city(question, tested_data):
+
+    city_list = []
+    
+    # print(tested_data)
+    for i in range(min(question['days'],len(tested_data))):
+        city_value = tested_data[i]['current_city']
+
+        if 'from' in city_value:
+            city1, city2 = extract_from_to(city_value)
+            city1 = extract_before_parenthesis(city1)
+            city2 = extract_before_parenthesis(city2)
+            if i==0 and  city1 != question['org']:
+                return False, f"The first day's city should be {question['org']}."
+
+            city_list += [city1, city2]
+
+        else:
+            city_list.append(extract_before_parenthesis(city_value))
+    
+    if city_list[0] != city_list[-1]:
+        return False, "The trip should be a closed circle."
+
+    if not is_valid_city_sequence(city_list):
+        return False, "The city sequence is invalid."
+    
+    for idx, city in enumerate(city_list):
+        if city not in city_state_map:
+            return False, f"{city} is not a valid city."
+        if idx not in [0,len(city_list)-1] and question['days'] >3 and city_state_map[city] != question['dest']:
+            return False, f"{city} is not in {question['dest']}."
+    
+    return True, None
+
+
+def is_valid_restaurants(question, tested_data):
+
+    restaurants_list = []
+
+    for i in range(min(question['days'],len(tested_data))):
+        unit = tested_data[i]
+
+        if 'breakfast' in unit and unit['breakfast'] and unit['breakfast'] != '-':
+            if unit['breakfast'] not in restaurants_list:
+                restaurants_list.append(unit['breakfast'])
+            else:
+                return False, f"The restaurant in day {i+1} breakfast is repeated."
+        # elif 'breakfast' not in unit :
+        #     return False, f"No Breakfast Info."
+            
+        if 'lunch' in unit and unit['lunch'] and unit['lunch'] != '-':
+            if unit['lunch'] not in restaurants_list:
+                restaurants_list.append(unit['lunch'])
+            else:
+                return False, f"The restaurant in day {i+1} lunch {unit['lunch']} is repeated."
+        # elif 'lunch' not in unit:
+        #     return False, f"No Lunch Info."
+        
+        if 'dinner' in unit and unit['dinner'] and unit['dinner'] != '-':
+            if unit['dinner'] not in restaurants_list:
+                restaurants_list.append(unit['dinner'])
+            else:
+                return False, f"The restaurant in day {i+1} dinner is repeated."
+        # elif 'dinner' not in unit:
+        #     return False, f"No Dinner Info."
+
+    return True, None
+            
+def is_valid_attractions(question, tested_data):
+
+    attractions_list = []
+
+    for i in range(min(question['days'],len(tested_data))):
+        unit = tested_data[i]
+
+        if 'attraction' in unit and unit['attraction'] and unit['attraction'] != '-':
+            for attraction in unit['attraction'].split(';')[:-1]:
+                if attraction not in attractions_list:
+                    attractions_list.append(attraction)
+                else:
+                    return False, f"The attraction '{attraction}' in day {i+1} is repeated."
+                
+        # elif 'attraction' not in unit:
+        #     return False, f"No Attraction Info."
+        
+    return True, None
+
+def is_valid_transportation(question, tested_data):
+    
+    if tested_data[0]['transportation'] and tested_data[0]['transportation'] != '-':
+        transportation_list = [transportation_match(tested_data[0]['transportation'])]
+    
+    else:
+        return False, "The transportation in day 1 should not be empty."
+
+    for i in range(min(question['days'],len(tested_data))):
+        unit = tested_data[i]
+
+        if 'transportation' in unit and unit['transportation'] and unit['transportation'] != '-':
+            transportation_list.append(transportation_match(unit['transportation']))
+        # elif 'transportation' not in unit:
+        #     return False, f"No Transportation Info."
+    
+    if (('Self-driving' in transportation_list) and ('Flight' in transportation_list)) or (('Taxi' in transportation_list) and ('Self-driving' in transportation_list)):
+        return False, "The transportation is conflicting."
+
+    return True, None
+
+def is_valid_information_in_current_city(question, tested_data):
+
+    for i in range(min(question['days'],len(tested_data))):
+        unit = tested_data[i]
+        current_city = unit['current_city']
+        final_city_list = []
+
+        if 'from' in current_city:
+            city1, city2 = extract_from_to(current_city)
+            city1 = extract_before_parenthesis(city1)
+            city2 = extract_before_parenthesis(city2)
+            final_city_list = [city1, city2]
+        else:
+            final_city_list = extract_before_parenthesis(current_city)
+
+        if 'transportation' in unit and unit['transportation'] and unit['transportation'] != '-':
+            for city in final_city_list:
+                if city not in unit['transportation']:
+                    # print(city)
+                    return False, f"The transportation in day {i+1} is invalid city choice."
+        # elif 'transportation' not in unit:
+        #     return False, f"No Transportation Info."
+        
+        if 'breakfast' in unit and unit['breakfast'] and unit['breakfast'] != '-':
+
+            flag = False
+
+            for city in final_city_list:
+                if city  in unit['breakfast']:
+                    flag = True
+
+            if not flag:
+                return False, f"The breakfast in day {i+1} is invalid city choice."
+        # elif 'breakfast' not in unit:
+        #     return False, f"No Breakfast Info."
+        
+        if 'lunch' in unit and unit['lunch'] and unit['lunch'] != '-':
+            flag = False
+
+            for city in final_city_list:
+                if city  in unit['lunch']:
+                    flag = True
+            
+            if not flag:
+                return False, f"The lunch in day {i+1} is invalid city choice."
+        # elif 'lunch' not in unit:
+        #     return False, f"No Lunch Info."
+            
+        if 'dinner' in unit and unit['dinner'] and unit['dinner'] != '-':
+            flag = False
+
+            for city in final_city_list:
+                if city  in unit['dinner']:
+                    flag = True
+            
+            if not flag:
+                return False, f"The dinner in day {i+1} is invalid city choice."
+        # elif 'dinner' not in unit:
+        #     return False, f"No Dinner Info."
+        
+        if 'attraction' in unit and unit['attraction'] and unit['attraction'] != '-':
+            
+            attraction_list = unit['attraction'].split(';')[:-1]
+
+            for attraction in attraction_list:
+                flag = False
+                for city in final_city_list:
+                    if city  in attraction:
+                        flag = True
+                if not flag:
+                    return False, f"The attraction in day {i+1} is invalid city choice."
+                
+        # elif 'attraction' not in unit:
+        #     return False, f"No Attraction Info."
+            
+            
+        if 'accommodation' in unit and unit['accommodation'] and unit['accommodation'] != '-':
+            
+            if final_city_list[-1] not in unit['accommodation']:
+                return False, f"The accommodation in day {i+1} is invalid city choice."
+            
+        # elif 'accommodation' not in unit:
+        #     return False, f"No Accommodation Info."
+    
+    return True, None
+        
+# hallucination 
+def is_valid_information_in_sandbox(question, tested_data):
+    
+    for i in range(min(question['days'],len(tested_data))):
+        unit = tested_data[i]
+        
+        if unit['transportation'] and unit['transportation'] != '-':
+            value = unit['transportation']
+            org_city, dest_city = extract_from_to(value)
+            if org_city == None or dest_city == None:
+                org_city, dest_city = extract_from_to(unit['current_city'])
+            if 'flight number' in value.lower():
+                try:
+                    org_city = extract_before_parenthesis(org_city)
+                    dest_city = extract_before_parenthesis(dest_city)
+                except TypeError:
+                    raise ValueError("The transportation {} in day {} can not be parsed.".format(value,i+1))
+                # print(value)
+                if len(flight.data[(flight.data['Flight Number'] == value.split('Flight Number: ')[1].split(',')[0]) & (flight.data['OriginCityName']==org_city) & (flight.data['DestCityName']==dest_city)]) < 1:
+                     return False, f"The flight number in day {i+1} is invalid in the sandbox."
+            
+            elif 'self-driving' in value.lower() or 'taxi' in value.lower():
+                try:
+                    org_city = extract_before_parenthesis(org_city)
+                    dest_city = extract_before_parenthesis(dest_city)
+                except TypeError:
+                    org_city = '-'
+                    dest_city = '-'
+                    print("The transportation {} in day {} can not be parsed and '-' will be used instead.".format(value,i+1))
+                
+                if 'self-driving' in value.lower():
+                    if googleDistanceMatrix.run_for_evaluation(org_city, dest_city, mode='self-driving')['cost'] == None:
+                        return False, f"The self-driving in day {i+1} is invalid in the sandbox."
+                else:
+                    if googleDistanceMatrix.run_for_evaluation(org_city, dest_city, mode='taxi')['cost'] == None:
+                        return False, f"The taxi in day {i+1} is invalid in the sandbox."
+
+        if 'breakfast' in unit and unit['breakfast'] and unit['breakfast'] != '-':
+            name, city = get_valid_name_city(unit['breakfast'])
+            if len(restaurants.data[(restaurants.data['Name'].astype(str).str.contains(re.escape(name))) & (restaurants.data['City'] == city)]) < 1:
+                return False, f"The breakfast in day {i+1} is invalid in the sandbox."
+        # elif 'breakfast' not in unit:
+        #     return False, f"No Breakfast Info."
+        
+        if 'lunch' in unit and unit['lunch'] and unit['lunch'] != '-':
+            name, city = get_valid_name_city(unit['lunch'])
+            if len(restaurants.data[(restaurants.data['Name'].astype(str).str.contains(re.escape(name))) & (restaurants.data['City'] == city)]) < 1:
+                return False, f"The lunch in day {i+1} is invalid in the sandbox."
+        # elif 'lunch' not in unit:
+        #     return False, f"No Lunch Info."
+        
+        if 'dinner' in unit and unit['dinner'] and unit['dinner'] != '-':
+            name, city = get_valid_name_city(unit['dinner'])
+            if len(restaurants.data[(restaurants.data['Name'].astype(str).str.contains(re.escape(name))) & (restaurants.data['City'] == city)]) < 1:
+                return False, f"The dinner in day {i+1} is invalid in the sandbox."
+        # elif 'dinner' not in unit:
+        #     return False, f"No Dinner Info."
+            
+        if 'attraction' in unit and unit['attraction'] and unit['attraction'] != '-':
+            attractions_list = unit['attraction'].split(';')[:-1]
+            for attraction in attractions_list:
+                name, city = get_valid_name_city(attraction)
+                if len(attractions.data[(attractions.data['Name'].astype(str).str.contains(re.escape(name))) & (attractions.data['City'] == city)]) < 1:
+                    return False, f"The attraction {attraction} in day {i+1} is invalid in the sandbox."
+        # elif 'attraction' not in unit:
+        #     return False, f"No Attraction Info."
+                
+        if 'accommodation' in unit and unit['accommodation'] and unit['accommodation'] != '-':
+            name, city = get_valid_name_city(unit['accommodation'])
+            # print(name,city)
+            # print(accommodation.data[accommodation.data['NAME'].astype(str).str.contains(re.escape(name))])
+            if len(accommodation.data[(accommodation.data['NAME'].astype(str).str.contains(re.escape(name))) & (accommodation.data['city'] == city)]) < 1:
+                return False, f"The accommodation in day {i+1} is invalid in the sandbox."
+        # elif 'accommodation' not in unit:
+        #     return False, f"No Accommodation Info."
+        
+    return True, None
+
+
+def is_valid_accommodaton(question, tested_data):
+    data = []
+    for i in range(min(question['days'],len(tested_data))):
+        unit = tested_data[i]
+
+        if 'accommodation' not in unit:
+            return False, f"No Accommodation Info."
+        
+        data.append(unit['accommodation'])
+    # data = [unit['accommodation'] for unit in tested_data]
+    consectutive_accommodation = count_consecutive_values(data)
+    for unit in consectutive_accommodation:
+        # print(unit)
+        if unit and unit[0] not in  ['-',''] :
+            name, city = get_valid_name_city(unit[0])
+            # print(unit[0],name,city)
+            # try:
+            if len(accommodation.data[(accommodation.data['NAME'].astype(str).str.contains(re.escape(name))) & (accommodation.data['city'] == city)]) == 1 and unit[1] <  accommodation.data[(accommodation.data['NAME'].astype(str).str.contains(re.escape(name))) & (accommodation.data['city'] == city)].iloc[0]['minimum nights']:
+                return False, f"The accommodation {unit[0]} do not obey the minumum nights rule."
+            # can not parse data
+            # except re.error:
+            #     continue
+            
+    return True, None
+
+def is_valid_visiting_city_number(question, tested_data):
+
+    city_set = set()
+    
+
+    for i in range(min(question['days'],len(tested_data))):
+        city_value = tested_data[i]['current_city']
+
+        if 'from' in city_value:
+            city1, city2 = extract_from_to(city_value)
+            city1 = extract_before_parenthesis(city1)
+            city2 = extract_before_parenthesis(city2)
+            if i==0 and  city1 != question['org']:
+                return False, f"The first day's city should be {question['org']}."
+
+            city_set.add(city1)
+            city_set.add(city2)
+
+        else:
+            city_set.add(extract_before_parenthesis(city_value))
+    
+    city_set.discard(question['org'])
+
+    if len(city_set) != question['visiting_city_number']:
+        return False, f"The number of visiting cities should be {question['visiting_city_number']}."
+    
+    return True, None
+
+def is_valid_days(question, tested_data):
+    lens = 0
+    for i in range(min(question['days'],len(tested_data))):
+        if tested_data[i] != {} and tested_data[i]['current_city'] != "You don't need to fill in the information for this or later days.":
+            lens += 1
+        
+    if lens != question['days']:
+        # print(lens)
+        return False, f"The number of days should be {question['days']}."
+    else:
+        return True, None
+
+def is_not_absent(question, tested_data):
+    needed_info = 6 * question['days']
+    total_valid_info = 0
+
+    if not is_valid_days(question, tested_data)[0]:
+        return False, "Invalid Days"
+    
+    if not is_valid_visiting_city_number(question, tested_data)[0]:
+        return False, "Invalid City Number"
+
+    for i in range(min(question['days'],len(tested_data))):
+        unit = tested_data[i]
+
+        if 'transportation' not in unit:
+            return False, f"No Transportation Info."
+        
+        if 'breakfast' not in unit:
+            return False, f"No Breakfast Info."
+        
+        if 'lunch' not in unit:
+            return False, f"No Lunch Info."
+        
+        if 'dinner' not in unit:
+            return False, f"No Dinner Info."
+        
+        if 'attraction' not in unit:
+            return False, f"No Attraction Info."
+        
+        if 'accommodation' not in unit:
+            return False, f"No Accommodation Info."
+        
+        if ('from ' in unit['current_city'] or 'to ' in unit['current_city']) and unit['transportation'] in ['','-']:
+            return False, f"No transportation in day {i+1} is not allowed."
+        
+        if ('from ' not in unit['current_city'] and  ' to ' not in unit['current_city']) and unit['attraction'] in ['','-']:
+            return False, f"No attaction in day {i+1} is not allowed."
+
+        if i != question['days'] - 1 and unit['accommodation'] in ['','-']:
+            return False, f"No accommodation in day {i+1} is not allowed."
+
+        if (unit['breakfast'] in ['','-'] or unit['lunch'] in ['','-'] or unit['dinner'] in ['','-']) and 'from ' not in unit['current_city']:
+            return False, f"No meal in day {i+1} is not allowed."
+        
+
+        for key in unit:
+            if unit[key] and unit[key] != '-':
+                total_valid_info += 1
+
+
+    if total_valid_info * 1.0 / needed_info < 0.5:
+        return False, f"The absent information is more than 50%."
+    
+    return True, None
+
+
+def evaluation(query_data, tested_data):
+    return_info = {}
+    return_info['is_reasonalbe_visiting_city'] = is_reasonalbe_visiting_city(query_data, tested_data)
+    return_info['is_valid_restaurants'] = is_valid_restaurants(query_data, tested_data)
+    return_info['is_valid_attractions'] = is_valid_attractions(query_data, tested_data)
+    return_info['is_valid_accommodation'] = is_valid_accommodaton(query_data, tested_data)
+    return_info['is_valid_transportation'] = is_valid_transportation(query_data, tested_data)
+    return_info['is_valid_information_in_current_city'] = is_valid_information_in_current_city(query_data, tested_data)
+    return_info['is_valid_information_in_sandbox'] = is_valid_information_in_sandbox(query_data, tested_data)
+    return_info['is_not_absent'] = is_not_absent(query_data, tested_data)
+    return return_info
+
+def boolean_evaluation(query_data, tested_data):
+    return_info = {}
+    return_info['is_reasonalbe_visiting_city'] = is_reasonalbe_visiting_city(query_data, tested_data)
+    return_info['is_valid_restaurants'] = is_valid_restaurants(query_data, tested_data)
+    return_info['is_valid_accommodation'] = is_valid_accommodaton(query_data, tested_data)
+    return_info['is_valid_attractions'] = is_valid_attractions(query_data, tested_data)
+    return_info['is_valid_transportation'] = is_valid_transportation(query_data, tested_data)
+    return_info['is_valid_information_in_current_city'] = is_valid_information_in_current_city(query_data, tested_data)
+    return_info['is_valid_information_in_sandbox'] = is_valid_information_in_sandbox(query_data, tested_data)
+    return_info['is_not_absent'] = is_not_absent(query_data, tested_data)
+    for key in return_info:
+        if return_info[key][0] == False:
+            print(return_info[key][1])
+            return False
+    return True

evaluataion/eval.py

@@ -0,0 +1,181 @@
+from commonsenseConstraint import evaluation as commonsense_eval
+from hardConstraint import evaluation as hard_eval
+import json
+from tqdm import tqdm
+from datasets import load_dataset
+
+
+def load_line_json_data(filename):
+    data = []
+    with open(filename, 'r', encoding='utf-8') as f:
+        for line in f.read().strip().split('\n'):
+            unit = json.loads(line)
+            data.append(unit)
+    return data
+
+def count_true_false(data):
+    """Count the number of true and false values in a list."""
+    true_count = data.count(True)
+    false_count = data.count(False)
+    return true_count, false_count
+
+def statistics(commonsense_statistic):
+    """Generate statistics for each level and day in the given data with a different structure."""
+    result = {level: {day: {} for day in commonsense_statistic[level]} for level in commonsense_statistic}
+    
+    for level, days in commonsense_statistic.items():
+        for day, dicts in days.items():
+            for dct in dicts:
+                if dct:
+                    for key, data in dct.items():
+                        true_count, false_count = count_true_false(data)
+                        if key not in result[level][day]:
+                            result[level][day][key] = {"true": 0, "false": 0}
+                        result[level][day][key]["true"] += true_count
+                        result[level][day][key]["false"] += false_count
+                
+    return result
+
+
+def eval_score(validation_or_test: str, file_path: str, TOKEN):
+
+    if validation_or_test == 'validation':
+        query_data_list  = load_dataset('osunlp/TravelBenchEval','validation',token=TOKEN)['validation']
+    elif validation_or_test == 'test':
+        query_data_list  = load_dataset('osunlp/TravelBenchEval','test',token=TOKEN)['test']
+
+    query_data_list = [x for x in query_data_list]
+    hardConstraint_statistic= {level:{day:[] for day in [3,5,7]} for level in ['easy','medium','hard']} 
+    commonsenseConstraint_statistic = {level:{day:[] for day in [3,5,7]} for level in ['easy','medium','hard']} 
+    tested_plans = load_line_json_data(file_path)
+    delivery_cnt = 0
+    plan_constraint_store = []
+    for idx in tqdm(range(0,len(query_data_list))):
+        query_data = query_data_list[idx]
+        tested_plan = tested_plans[idx]
+        if type(query_data) == str:
+            query_data = eval(query_data)
+        if type(tested_plan) == str:
+            tested_plan = eval(tested_plan)
+        if type(query_data['local_constraint']) == str:
+            query_data['local_constraint'] = eval(query_data['local_constraint'])
+
+        if tested_plan['plan']:
+            delivery_cnt += 1
+            commonsense_info_box = commonsense_eval(query_data,tested_plan['plan'])
+        else:
+            commonsense_info_box = None
+
+        if commonsense_info_box and commonsense_info_box['is_not_absent'][0] and commonsense_info_box['is_valid_information_in_sandbox'][0]:
+            hard_info_box = hard_eval(query_data,tested_plan['plan'])
+        else:
+            hard_info_box = None
+
+        plan_constraint_store.append({'commonsense_constraint':commonsense_info_box,'hard_constraint':hard_info_box})
+
+        commonsenseConstraint_statistic[query_data['level']][query_data['days']].append(commonsense_info_box)
+        hardConstraint_statistic[query_data['level']][query_data['days']].append(hard_info_box)
+
+    commonsenseConstraint_statistic_processed = statistics(commonsenseConstraint_statistic)
+    hardConstraint_statistic_processed = statistics(hardConstraint_statistic)
+    # print(commonsenseConstraint_statistic_processed)
+    # print(hardConstraint_statistic_processed)
+    constraint_record = {key: {day: {'house rule':0, 'cuisine':0, 'room type':0, 'transportation':0} for day in [3,5,7]} for key in ['medium','hard']}
+    constraint_mapping = {'house rule':'valid_room_rule','cuisine':'valid_cuisine','room type':'valid_room_type','transportation':'valid_transportation'}
+    mapping_constraint_record = {key: {day: {'valid_room_rule':0, 'valid_cuisine':0, 'valid_room_type':0, 'valid_transportation':0} for day in [3,5,7]} for key in ['medium','hard']}
+    count_record = {key:{day:0 for day in [3,5,7]} for key in ['easy','medium','hard']}
+
+    for unit in query_data_list:
+        count_record[unit['level']][unit['days']] += 1
+        for key in constraint_record['medium'][3]:
+            if unit['local_constraint'][key] != None:
+                constraint_record[unit['level']][unit['days']][key] += 1
+                mapping_constraint_record[unit['level']][unit['days']][constraint_mapping[key]] += 1
+
+    data_record = {key:{day:[] for day in [3,5,7]} for key in ['easy','medium','hard']}
+
+    constraint_dis_record = {"commonsense":{"pass":0,"total":0},"hard":{"pass":0,"total":0}}
+
+    for constraint in ['commonsense','hard']:
+        if constraint == 'commonsense':
+            constraint_statistic = commonsenseConstraint_statistic_processed
+        elif constraint == 'hard':
+            constraint_statistic = hardConstraint_statistic_processed
+
+        key_dict = {'commonsense':['is_valid_information_in_current_city','is_valid_information_in_sandbox','is_reasonalbe_visiting_city','is_valid_restaurants','is_valid_transportation','is_valid_attractions','is_valid_accommodation','is_not_absent'],'hard':['valid_cost','valid_room_rule','valid_cuisine','valid_room_type','valid_transportation']}
+        
+        for key in constraint_statistic:
+            # level
+            for key2 in constraint_statistic[key]:
+                # day
+                # print(key2)
+                # key2 = eval(key2)
+                if key2 == -1:
+                    print(constraint_statistic[key])
+                    exit(0)
+                for key3 in key_dict[constraint]:
+                    data_record[key][key2].append('0/0')
+                    if key3 in constraint_statistic[key][key2]:
+                        constraint_dis_record[constraint]['pass'] += constraint_statistic[key][key2][key3]['true']
+                        if constraint == 'hard':
+                            if key == 'hard' and key3 in ['valid_room_rule','valid_cuisine','valid_room_type','valid_transportation']:
+                                data_record[key][key2][-1] = f"{constraint_statistic[key][key2][key3]['true']}/{mapping_constraint_record[key][key2][key3]}"
+                                constraint_dis_record[constraint]['total'] += mapping_constraint_record[key][key2][key3]
+                            elif key == 'medium' and key3 in ['valid_room_rule','valid_cuisine','valid_room_type']:
+                                data_record[key][key2][-1] = f"{constraint_statistic[key][key2][key3]['true']}/{mapping_constraint_record[key][key2][key3]}"
+                                constraint_dis_record[constraint]['total'] += mapping_constraint_record[key][key2][key3]
+                            else:
+                                data_record[key][key2][-1] = f"{constraint_statistic[key][key2][key3]['true']}/{count_record[key][key2]}"
+                                if key3 in ['valid_cost','valid_visitng_city_number','valid_days']:
+                                    constraint_dis_record[constraint]['total'] += count_record[key][key2]
+                        else:
+                            data_record[key][key2][-1] = f"{constraint_statistic[key][key2][key3]['true']}/{count_record[key][key2]}"
+                            constraint_dis_record[constraint]['total'] += count_record[key][key2]
+    
+    final_all_cnt = 0
+    final_commonsense_cnt = 0
+    final_hardConstraint_cnt = 0
+    final_all_cnt_map = {level:0 for level in ['easy','medium','hard']}
+    for idx in (range(0,len(query_data_list))):
+        if plan_constraint_store[idx]['commonsense_constraint']:
+            final_commonsense_pass = True
+            final_hardConstraint_pass = True
+            for item in plan_constraint_store[idx]['commonsense_constraint']:
+                if plan_constraint_store[idx]['commonsense_constraint'][item][0] is not None and not plan_constraint_store[idx]['commonsense_constraint'][item][0]:
+                    final_commonsense_pass = False
+                    break
+            if plan_constraint_store[idx]['hard_constraint'] is None:
+                continue
+            for item in plan_constraint_store[idx]['hard_constraint']:
+                if plan_constraint_store[idx]['hard_constraint'][item][0] is not None and  plan_constraint_store[idx]['hard_constraint'][item][0] == False:
+                    final_hardConstraint_pass = False
+                    break
+                
+            if final_commonsense_pass:
+                final_commonsense_cnt += 1
+            if final_hardConstraint_pass:
+                final_hardConstraint_cnt += 1
+            if final_commonsense_pass and final_hardConstraint_pass:
+                final_all_cnt += 1
+                final_all_cnt_map[query_data_list[idx]['level']] += 1
+
+    result = {}
+
+    if validation_or_test == 'validation':
+        result['Delivery Rate'] = delivery_cnt / 180
+        result['Commonsense Constraint Micro Pass Rate'] = constraint_dis_record['commonsense']['pass'] / 1440
+        result['Commonsense Constraint Macro Pass Rate'] = final_commonsense_cnt / 180
+        result['Hard Constraint Micro Pass Rate'] = constraint_dis_record['hard']['pass'] / 420
+        result['Hard Constraint Macro Pass Rate'] = final_hardConstraint_cnt / 180
+        result['Final Pass Rate'] = final_all_cnt / 180
+
+    elif validation_or_test == 'test':
+        result['Delivery Rate'] = delivery_cnt / 1000
+        result['Commonsense Constraint Micro Pass Rate'] = constraint_dis_record['commonsense']['pass'] / 8000
+        result['Commonsense Constraint Macro Pass Rate'] = final_commonsense_cnt / 1000
+        result['Hard Constraint Micro Pass Rate'] = constraint_dis_record['hard']['pass'] / 2290
+        result['Hard Constraint Macro Pass Rate'] = final_hardConstraint_cnt / 1000
+        result['Final Pass Rate'] = final_all_cnt / 1000
+
+    return result
+

evaluataion/hardConstraint.py

@@ -0,0 +1,266 @@
+from src.utils import get_valid_name_city,extract_before_parenthesis,extract_numbers_from_filenames
+from tools.flights.apis import Flights
+from tools.accommodations.apis import Accommodations
+from tools.restaurants.apis import Restaurants
+from tools.googleDistanceMatrix.apis import GoogleDistanceMatrix
+from tools.attractions.apis import Attractions
+import math
+import json
+import re
+import numpy as np
+import os
+import sys
+from tqdm import tqdm
+import argparse
+
+sys.path.append(os.path.abspath(os.path.join(os.getcwd(), "..")))
+os.chdir(os.path.dirname(os.path.abspath(__file__)))
+
+
+flight = Flights()
+accommodation = Accommodations()
+restaurants = Restaurants()
+googleDistanceMatrix = GoogleDistanceMatrix()
+attractions = Attractions()
+
+
+def load_line_json_data(filename):
+    data = []
+    with open(filename, 'r', encoding='utf-8') as f:
+        for line in f.read().strip().split('\n'):
+            unit = json.loads(line)
+            data.append(unit)
+    return data
+
+
+def convert_bool_values(item):
+    if isinstance(item, dict):
+        # If the item is a dictionary, recurse on each value
+        return {key: convert_bool_values(value) for key, value in item.items()}
+    elif isinstance(item, list):
+        # If the item is a list, recurse on each item in the list
+        return [convert_bool_values(value) for value in item]
+    elif isinstance(item, tuple):
+        # If the item is a tuple, recurse on each item in the tuple and repackage as a tuple
+        return tuple(convert_bool_values(value) for value in item)
+    elif isinstance(item, np.bool_):  # Here we check for numpy's bool_ type
+        # If the item is a numpy bool_, convert it to a standard Python bool
+        return bool(item)
+    else:
+        # If the item is any other type, return it unchanged
+        return item
+
+
+
+
+def extract_from_to(text: str):
+    """
+    Extracts 'A' and 'B' from the format "from A to B" in the given text, with B ending at a comma or the end of the string.
+    
+    Args:
+    - text (str): The input string.
+    
+    Returns:
+    - tuple: A tuple containing 'A' and 'B'. If no match is found, returns (None, None).
+    """
+    pattern = r"from\s+(.+?)\s+to\s+([^,]+)(?=[,\s]|$)"
+    matches = re.search(pattern, text)
+    return matches.groups() if matches else (None, None)
+
+
+def get_total_cost(question, tested_data):
+    total_cost = 0
+    for i in range(min(question['days'],len(tested_data))):
+        unit = tested_data[i]
+        # transporation 
+        if unit['transportation'] and  unit['transportation'] != '-':
+            value = unit['transportation']
+            org_city, dest_city = extract_from_to(value)
+            if org_city == None or dest_city == None:
+                org_city, dest_city = extract_from_to(unit['current_city'])
+            
+            if org_city == None or dest_city == None:
+                pass
+            else:
+                if 'flight number' in value.lower():
+                    res = flight.data[flight.data['Flight Number'] == value.split('Flight Number: ')[1].split(',')[0]]
+                    if len(res) > 0:
+                        total_cost += res['Price'].values[0] * question['people_number']
+                
+                elif 'self-driving' in value.lower() or 'taxi' in value.lower():
+                    if 'self-driving' in value.lower():
+                        # print(org_city,dest_city)
+                        cost = googleDistanceMatrix.run_for_evaluation(org_city,dest_city,'self-driving')['cost']
+                        total_cost += cost * math.ceil(question['people_number'] * 1.0 / 5)
+                    else:
+                        cost = googleDistanceMatrix.run_for_evaluation(org_city,dest_city,'taxi')['cost']
+                        total_cost += cost * math.ceil(question['people_number'] * 1.0 / 4)
+        
+        # breakfast
+        if unit['breakfast'] and unit['breakfast'] != '-':
+            name, city = get_valid_name_city(unit['breakfast'])
+            res = restaurants.data[(restaurants.data['Name'].astype(str).str.contains(re.escape(name))) & (restaurants.data['City'] == city)]
+            if len(res) > 0:
+                total_cost += res['Average Cost'].values[0] * question['people_number']
+
+            
+        # lunch
+        if unit['lunch'] and unit['lunch'] != '-':
+            name, city = get_valid_name_city(unit['lunch'])
+            res = restaurants.data[(restaurants.data['Name'].astype(str).str.contains(re.escape(name))) & (restaurants.data['City'] == city)]
+            if len(res) > 0:
+                total_cost += res['Average Cost'].values[0] * question['people_number']
+        
+        # dinner
+        if unit['dinner'] and unit['dinner'] != '-':
+            name, city = get_valid_name_city(unit['dinner'])
+            res = restaurants.data[(restaurants.data['Name'].astype(str).str.contains(re.escape(name))) & (restaurants.data['City'] == city)]
+            if len(res) > 0:
+                total_cost += res['Average Cost'].values[0] * question['people_number']
+        
+        # accommodation
+        if unit['accommodation'] and unit['accommodation'] != '-':
+            name, city = get_valid_name_city(unit['accommodation'])
+            res = accommodation.data[(accommodation.data['NAME'].astype(str).str.contains(re.escape(name))) & (accommodation.data['city'] == city)]
+            if len(res) > 0:
+                total_cost += res['price'].values[0] * math.ceil(question['people_number'] * 1.0 / res['maximum occupancy'].values[0])
+    # print(total_cost)
+    return total_cost
+
+
+def is_valid_room_rule(question, tested_data):
+
+    if question['local_constraint']['house rule'] is None:
+        return None,None
+    
+    for i in range(min(question['days'],len(tested_data))):
+        unit = tested_data[i]
+        if unit['accommodation'] and unit['accommodation'] != '-':
+            name, city = get_valid_name_city(unit['accommodation'])
+            res = accommodation.data[(accommodation.data['NAME'].astype(str).str.contains(re.escape(name))) & (accommodation.data['city'] == city)]
+            if len(res) > 0:
+                if question['local_constraint']['house rule'] == 'smoking' and 'No smoking' in str(res['house_rules'].values[0]):
+                    return False, f"The house rule should be {question['local_constraint']['house rule']}."
+                if question['local_constraint']['house rule'] == 'parities' and 'No parties' in str(res['house_rules'].values[0]):
+                    return False, f"The house rule should be {question['local_constraint']['house rule']}."
+                if question['local_constraint']['house rule'] == 'children under 10' and 'No children under 10' in str(res['house_rules'].values[0]):
+                    return False, f"The house rule should be {question['local_constraint']['house rule']}."
+                if question['local_constraint']['house rule'] == 'visitors' and 'No visitors' in str(res['house_rules'].values[0]):
+                    return False, f"The house rule should be {question['local_constraint']['house rule']}."
+                if question['local_constraint']['house rule'] == 'pets' and 'No pets' in str(res['house_rules'].values[0]):
+                    return False, f"The house rule should be {question['local_constraint']['house rule']}."
+                
+            
+    return True, None
+
+
+
+def is_valid_cuisine(question, tested_data):
+    cuisine_set = set()
+    if question['local_constraint']['cuisine']:
+        for i in range(min(question['days'],len(tested_data))):
+            unit = tested_data[i]
+
+            if unit['breakfast'] and unit['breakfast'] != '-':
+                name, city = get_valid_name_city(unit['breakfast'])
+                if city == question['org']:
+                    continue
+                res = restaurants.data[(restaurants.data['Name'].astype(str).str.contains(re.escape(name))) & (restaurants.data['City'] == city)]
+                if len(res) > 0:       
+                    for cuisine in question['local_constraint']['cuisine']:
+                        if cuisine in res.iloc[0]['Cuisines']:
+                            cuisine_set.add(cuisine)
+
+            if unit['lunch'] and unit['lunch'] != '-':
+                name, city = get_valid_name_city(unit['lunch'])
+                if city == question['org']:
+                    continue
+                res = restaurants.data[(restaurants.data['Name'].astype(str).str.contains(re.escape(name))) & (restaurants.data['City'] == city)]
+                if len(res) > 0:
+                    for cuisine in question['local_constraint']['cuisine']:
+                        if cuisine in res.iloc[0]['Cuisines']:
+                            cuisine_set.add(cuisine)
+
+            if unit['dinner'] and unit['dinner'] != '-':
+                name, city = get_valid_name_city(unit['dinner'])
+                if city == question['org']:
+                    continue
+                res = restaurants.data[(restaurants.data['Name'].astype(str).str.contains(re.escape(name))) & (restaurants.data['City'] == city)]
+                if len(res) > 0:
+                    for cuisine in question['local_constraint']['cuisine']:
+                        if cuisine in res.iloc[0]['Cuisines']:
+                            cuisine_set.add(cuisine)
+
+        if len(cuisine_set) == len(question['local_constraint']['cuisine']):
+            return True, None
+        else:
+            # judge which cuisine is not satisfied
+            for cuisine in question['local_constraint']['cuisine']:
+                if cuisine not in cuisine_set:
+                    return False, f"The cuisine {cuisine} is not satisfied."
+            # return False, f"The cuisine should be {question['local_constraint']['cuisine']}."
+    else:
+        return None,None
+    
+
+def is_valid_transportation(question, tested_data):
+    if question['local_constraint']['transportation'] is None:
+        return None,None
+    for i in range(min(question['days'],len(tested_data))):
+        unit = tested_data[i]
+        if unit['transportation'] and unit['transportation'] != '-':
+            value = unit['transportation']
+            if question['local_constraint']['transportation'] == 'no flight' and 'Flight' in value:
+                return False, f"The transportation should not be {question['local_constraint']['transportation']}."
+            elif question['local_constraint']['transportation'] == 'no self-driving' and 'Self-driving'  in value:
+                return False, f"The transportation should not be {question['local_constraint']['transportation']}."
+            
+    return True, None
+
+
+def is_valid_room_type(question, tested_data):
+    if question['local_constraint']['room type'] is None:
+        return None,None
+    for i in range(min(question['days'],len(tested_data))):
+        unit = tested_data[i]
+        if unit['accommodation'] and unit['accommodation'] != '-':
+            name, city = get_valid_name_city(unit['accommodation'])
+            res = accommodation.data[(accommodation.data['NAME'].astype(str).str.contains(re.escape(name))) & (accommodation.data['city'] == city)]
+            if len(res) > 0:
+                if question['local_constraint']['room type'] == 'not shared room' and res['room type'].values[0] == 'Shared room':
+                    return False, f"The room type should be {question['local_constraint']['room type']}."
+                # "shared room", "not shared room", "private room", "entire room"
+                elif question['local_constraint']['room type'] == 'shared room' and res['room type'].values[0] != 'Shared room':
+                    return False, f"The room type should be {question['local_constraint']['room type']}."
+
+                elif question['local_constraint']['room type'] == 'private room' and res['room type'].values[0] != 'Private room':
+                    return False, f"The room type should be {question['local_constraint']['room type']}."
+
+                elif question['local_constraint']['room type'] == 'entire room' and res['room type'].values[0] != 'Entire home/apt':
+                    return False, f"The room type should be {question['local_constraint']['room type']}."
+
+    return True, None
+
+
+def evaluation(query_data, tested_data):
+    return_info = {}
+    return_info['valid_cuisine'] = is_valid_cuisine(query_data, tested_data)
+    return_info['valid_room_rule'] = is_valid_room_rule(query_data, tested_data)
+    return_info['valid_transportation'] = is_valid_transportation(query_data, tested_data)
+    return_info['valid_room_type'] = is_valid_room_type(query_data, tested_data)
+    return_info['valid_cost'] = (bool(get_total_cost(query_data, tested_data) <= query_data['budget']), None)
+    return return_info
+
+def boolean_evaluation(query_data, tested_data):
+    return_info = {}
+    return_info['valid_cuisine'] = is_valid_cuisine(query_data, tested_data)
+    return_info['valid_room_rule'] = is_valid_room_rule(query_data, tested_data)
+    return_info['valid_transportation'] = is_valid_transportation(query_data, tested_data)
+    return_info['valid_room_type'] = is_valid_room_type(query_data, tested_data)
+    return_info['valid_cost'] = (bool(get_total_cost(query_data, tested_data) <= query_data['budget']), None)
+    for key in return_info:
+        if return_info[key][0] == False:
+            print(key)
+            return False
+    return True
+

plan/plan_1.json

@@ -0,0 +1 @@
+[{"org": "St. Petersburg", "dest": "Rockford", "days": 3, "visiting_city_number": 1, "date": ["2022-03-16", "2022-03-17", "2022-03-18"], "people_number": 1, "local_constraint": {"house rule": null, "cuisine": null, "room type": null, "transportation": null}, "budget": 1700, "query": "Please help me plan a trip from St. Petersburg to Rockford spanning 3 days from March 16th to March 18th, 2022. The travel should be planned for a single person with a budget of $1,700.", "level": "easy"}, [{"days": 1, "current_city": "from St. Petersburg to Rockford", "transportation": "Flight Number: F3573659, from St. Petersburg to Rockford, Departure Time: 15:40, Arrival Time: 17:04", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Coco Bambu, Rockford", "accommodation": "Pure luxury one bdrm + sofa bed on Central Park, Rockford"}, {"days": 2, "current_city": "Rockford", "transportation": "-", "breakfast": "Dial A Cake, Rockford", "attraction": "Burpee Museum of Natural History, Rockford;Midway Village Museum, Rockford;Discovery Center Museum, Rockford;", "lunch": "Flying Mango, Rockford", "dinner": "Cafe Southall, Rockford", "accommodation": "Pure luxury one bdrm + sofa bed on Central Park, Rockford"}, {"days": 3, "current_city": "from Rockford to St. Petersburg", "transportation": "Flight Number: F3573120, from Rockford to St. Petersburg, Departure Time: 19:00, Arrival Time: 22:43", "breakfast": "Subway, Rockford", "attraction": "Klehm Arboretum & Botanic Garden, Rockford;Sinnissippi Park, Rockford;", "lunch": "Gajalee Sea Food, Rockford", "dinner": "Nutri Punch, Rockford", "accommodation": "-"}, {}, {}, {}, {}]]

plan/plan_10.json

@@ -0,0 +1 @@
+[{"org": "Greer", "dest": "Pennsylvania", "days": 5, "visiting_city_number": 2, "date": ["2022-03-05", "2022-03-06", "2022-03-07", "2022-03-08", "2022-03-09"], "people_number": 1, "local_constraint": {"house rule": null, "cuisine": null, "room type": null, "transportation": null}, "budget": 3400, "query": "Can you create a 5-day travel plan for one person departing from Greer and visiting 2 cities in Pennsylvania? The travel dates are from March 5th to March 9th, 2022. The trip's budget is set at $3,400.", "level": "easy"}, [{"days": 1, "current_city": "from Greer to Philadelphia(Pennsylvania)", "transportation": "Flight Number: F3730589, from Greer to Philadelphia(Pennsylvania), Departure Time: 16:50, Arrival Time: 18:32", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Marukame Udon, Philadelphia(Pennsylvania)", "accommodation": "Top floor of an amazing duplex, Philadelphia(Pennsylvania)"}, {"days": 2, "current_city": "Philadelphia(Pennsylvania)", "transportation": "-", "breakfast": "Asian Chopstick, Philadelphia(Pennsylvania)", "attraction": "JFK Plaza (Love Park), Philadelphia(Pennsylvania);Philadelphia Zoo, Philadelphia(Pennsylvania);", "lunch": "Bangla Sweet Corner, Philadelphia(Pennsylvania)", "dinner": "Momozone, Philadelphia(Pennsylvania)", "accommodation": "Top floor of an amazing duplex, Philadelphia(Pennsylvania)"}, {"days": 3, "current_city": "from Philadelphia(Pennsylvania) to State College(Pennsylvania)", "transportation": "Taxi, from Philadelphia(Pennsylvania) to State College(Pennsylvania), duration: 3 hours 11 mins, distance: 309 km, cost: 309", "breakfast": "Muncheezz, Philadelphia(Pennsylvania)", "attraction": "Old Main, State College(Pennsylvania);Lederer Park, State College(Pennsylvania);", "lunch": "Maharaja Food Club, State College(Pennsylvania)", "dinner": "Theos, State College(Pennsylvania)", "accommodation": "Small and Cozy room on Upper West Side, State College(Pennsylvania)"}, {"days": 4, "current_city": "State College(Pennsylvania)", "transportation": "-", "breakfast": "Rolling Beans, State College(Pennsylvania)", "attraction": "Discovery Space of Central Pennsylvania, State College(Pennsylvania);The Arboretum at Penn State, State College(Pennsylvania);", "lunch": "Hyderabad's Delight, State College(Pennsylvania)", "dinner": "Snacks Parties, State College(Pennsylvania)", "accommodation": "Small and Cozy room on Upper West Side, State College(Pennsylvania)"}, {"days": 5, "current_city": "from State College(Pennsylvania) to Greer", "transportation": "Taxi, from State College(Pennsylvania) to Greer, duration: 9 hours 29 mins, distance: 982 km, cost: 982", "breakfast": "Kettle & Kegs, State College(Pennsylvania)", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}, {}, {}]]

plan/plan_11.json

@@ -0,0 +1 @@
+[{"org": "Houston", "dest": "Utah", "days": 7, "visiting_city_number": 3, "date": ["2022-03-23", "2022-03-24", "2022-03-25", "2022-03-26", "2022-03-27", "2022-03-28", "2022-03-29"], "people_number": 1, "local_constraint": {"house rule": null, "cuisine": null, "room type": null, "transportation": null}, "budget": 7700, "query": "Could you assist in creating a travel plan for one person, starting from Houston and heading to Utah for a week? The visit will be from the 23rd of March to the 29th of March, 2022, and will cover 3 different cities in Utah. The budget for this trip is set at $7,700.", "level": "easy"}, [{"days": 1, "current_city": "from Houston to Salt Lake City(Utah)", "transportation": "Self-driving, from Houston to Salt Lake City(Utah), duration: 22 hours 21 mins, distance: 2,377 km, cost: 2377", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Tikka Tonight, Salt Lake City(Utah)", "accommodation": "Hamilton Beach House, Salt Lake City(Utah)"}, {"days": 2, "current_city": "Salt Lake City(Utah)", "transportation": "-", "breakfast": "Al-Sameer, Salt Lake City(Utah)", "attraction": "City Creek Park, Salt Lake City(Utah);Pioneer Memorial Museum, Salt Lake City(Utah);", "lunch": "Mr. Sub, Salt Lake City(Utah)", "dinner": "Kwality Wall's Swirl's, Salt Lake City(Utah)", "accommodation": "Hamilton Beach House, Salt Lake City(Utah)"}, {"days": 3, "current_city": "from Salt Lake City(Utah) to Moab(Utah)", "transportation": "Self-driving, from Salt Lake City(Utah) to Moab(Utah), duration: 3 hours 42 mins, distance: 376 km, cost: 18", "breakfast": "Angeethi, Salt Lake City(Utah)", "attraction": "Hogle Zoo, Salt Lake City(Utah);", "lunch": "Spice Kraft, Moab(Utah)", "dinner": "Shree Rathnam, Salt Lake City(Utah)", "accommodation": "Private bedroom on Upper East Side !!!, Moab(Utah)"}, {"days": 4, "current_city": "Moab(Utah)", "transportation": "-", "breakfast": "Masala Factory, Moab(Utah)", "attraction": "Lion's Back, Moab(Utah);Corona Arch, Moab(Utah);", "lunch": "Giani, Moab(Utah)", "dinner": "Bikaner Sweets, Moab(Utah)", "accommodation": "Private bedroom on Upper East Side !!!, Moab(Utah)"}, {"days": 5, "current_city": "from Moab(Utah) to Vernal(Utah)", "transportation": "Self-driving, from Moab(Utah) to Vernal(Utah), duration: 3 hours 40 mins, distance: 349 km, cost: 17", "breakfast": "McDonald's, Moab(Utah)", "attraction": "First Lady Dolls, Vernal(Utah);Red Fleet State Park, Vernal(Utah);", "lunch": "Pepper Sprout Incorporated, Vernal(Utah)", "dinner": "MD's Kebabs & Curries, Vernal(Utah)", "accommodation": "Luxurious & Spacious 1 Bedroom Apt, Vernal(Utah)"}, {"days": 6, "current_city": "Vernal(Utah)", "transportation": "-", "breakfast": "Foodies Park, Vernal(Utah)", "attraction": "Ashley Valley Community Park, Vernal(Utah);Dinosaur Land In Vernal Utah, Vernal(Utah);", "lunch": "OMG Tiffinz, Vernal(Utah)", "dinner": "Crossroad Bar and Restaurant, Vernal(Utah)", "accommodation": "Clean sm room, with shared space.  Great location., Vernal(Utah)"}, {"days": 7, "current_city": "from Vernal(Utah) to Houston", "transportation": "Self-driving, from Vernal(Utah) to Houston, duration: 20 hours 30 mins, distance: 2,167 km, cost: 108", "breakfast": "Ingredients, Vernal(Utah)", "attraction": "Vernal DUP Museum, Vernal(Utah);Cobble Rock Park, Vernal(Utah);", "lunch": "Great Plates By AJ, Vernal(Utah)", "dinner": "McDonald's, Vernal(Utah)", "accommodation": "-"}]]

plan/plan_12.json

@@ -0,0 +1 @@
+[{"org": "Oklahoma City", "dest": "Colorado", "days": 7, "visiting_city_number": 3, "date": ["2022-03-01", "2022-03-02", "2022-03-03", "2022-03-04", "2022-03-05", "2022-03-06", "2022-03-07"], "people_number": 1, "local_constraint": {"house rule": null, "cuisine": null, "room type": null, "transportation": null}, "budget": 3000, "query": "Can you help me plan a one-week solo trip from Oklahoma City to Colorado, during which I'll be visiting 3 different cities? The trip will be from March 1st to March 7th, 2022, and I have a budget of $3,000.", "level": "easy"}, [{"days": 1, "current_city": "from Oklahoma City to Alamosa(Colorado)", "transportation": "Self-driving, from Oklahoma City to Alamosa(Colorado), duration: 8 hours 52 mins, distance: 922 km, cost: 46", "breakfast": "-", "attraction": "Rio Grande Farm Park, Alamosa(Colorado);San Luis Valley Museum | Alamosa, Alamosa(Colorado);", "lunch": "-", "dinner": "Cafe Delhi Heights, Alamosa(Colorado)", "accommodation": "Prime Location of Flushing Queens \u8c6a\u534e\u5367\u5ba4 \u65c5\u9014\u4e2d\u7684\u5bb6 E, Alamosa(Colorado)"}, {"days": 2, "current_city": "Alamosa(Colorado)", "transportation": "-", "breakfast": "The Midnight Heroes, Alamosa(Colorado)", "attraction": "Cole Park, Alamosa(Colorado);Los Caminos Antiguos Scenic Byway: Alamosa Entrance, Alamosa(Colorado);Carroll Park, Alamosa(Colorado);Alamosa Archery Range, Alamosa(Colorado);", "lunch": "Good Luck Cafe, Alamosa(Colorado)", "dinner": "Moti Sweets, Alamosa(Colorado)", "accommodation": "Prime Location of Flushing Queens \u8c6a\u534e\u5367\u5ba4 \u65c5\u9014\u4e2d\u7684\u5bb6 E, Alamosa(Colorado)"}, {"days": 3, "current_city": "from Alamosa(Colorado) to Grand Junction(Colorado)", "transportation": "Self-driving, from Alamosa(Colorado) to Grand Junction(Colorado), duration: 4 hours 30 mins, distance: 396 km, cost: 19", "breakfast": "Lights Camera Action - Air Bar, Alamosa(Colorado)", "attraction": "Museum of the West, Museums of Western Colorado, Grand Junction(Colorado);Eureka! McConnell Science Museum, Grand Junction(Colorado);Bananas Fun Park, Grand Junction(Colorado);", "lunch": "-", "dinner": "Kings Kulfi, Grand Junction(Colorado)", "accommodation": "Cool room Manhattan - Sleeps up to 3 guests, Grand Junction(Colorado)"}, {"days": 4, "current_city": "Grand Junction(Colorado)", "transportation": "-", "breakfast": "Cha Bar, Grand Junction(Colorado)", "attraction": "Western Colorado Botanical Gardens, Grand Junction(Colorado);Canyon View Park, Grand Junction(Colorado);Eagle Rim Park, Grand Junction(Colorado);Cross Orchards Historic Site, Museums of Western Colorado, Grand Junction(Colorado);", "lunch": "New Punjabi Khana, Grand Junction(Colorado)", "dinner": "Baba Chicken Ludhiana Wale, Grand Junction(Colorado)", "accommodation": "Cool room Manhattan - Sleeps up to 3 guests, Grand Junction(Colorado)"}, {"days": 5, "current_city": "from Grand Junction(Colorado) to Durango(Colorado)", "transportation": "Self-driving, from Grand Junction(Colorado) to Durango(Colorado), duration: 3 hours 34 mins, distance: 269 km, cost: 13", "breakfast": "Flavors Of London, Grand Junction(Colorado)", "attraction": "Animas Museum, Durango(Colorado);The Powerhouse, Durango(Colorado);", "lunch": "-", "dinner": "Dub's High on the Hog, Durango(Colorado)", "accommodation": "Northern Manhattan Getaway, Durango(Colorado)"}, {"days": 6, "current_city": "Durango(Colorado)", "transportation": "-", "breakfast": "Burger King, Durango(Colorado)", "attraction": "Whitewater Park, Durango(Colorado);Durango Adventures and Zipline Tours, Durango(Colorado);Oxbow Park and Preserve, Durango(Colorado);Durango & Silverton Narrow Gauge Railroad, Durango(Colorado);", "lunch": "Yeoh, Durango(Colorado)", "dinner": "Wow! Momo, Durango(Colorado)", "accommodation": "Northern Manhattan Getaway, Durango(Colorado)"}, {"days": 7, "current_city": "from Durango(Colorado) to Oklahoma City", "transportation": "Self-driving, from Durango(Colorado) to Oklahoma City, duration: 11 hours 13 mins, distance: 1,212 km, cost: 60", "breakfast": "Standard Chicken Point, Durango(Colorado)", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}]]

plan/plan_13.json

@@ -0,0 +1 @@
+[{"org": "Gulfport", "dest": "Texas", "days": 7, "visiting_city_number": 3, "date": ["2022-03-24", "2022-03-25", "2022-03-26", "2022-03-27", "2022-03-28", "2022-03-29", "2022-03-30"], "people_number": 1, "local_constraint": {"house rule": null, "cuisine": null, "room type": null, "transportation": null}, "budget": 4200, "query": "Please help me plan a 7-day trip for one person, departing from Gulfport and visiting 3 cities in Texas from March 24th to March 30th, 2022. The budget for this trip is $4,200.", "level": "easy"}, [{"days": 1, "current_city": "from Gulfport to Dallas(Texas)", "transportation": "Flight Number: F3609002, from Gulfport to Dallas(Texas), Departure Time: 11:42, Arrival Time: 13:20", "breakfast": "-", "attraction": "Dallas Museum of Art, Dallas(Texas);", "lunch": "-", "dinner": "Coconuts Fish Cafe, Dallas(Texas)", "accommodation": "*Fresh Budget Room, Dallas(Texas)"}, {"days": 2, "current_city": "Dallas(Texas)", "transportation": "-", "breakfast": "Salsa Mexican Grill, Dallas(Texas)", "attraction": "Trinity Forest Adventure Park, Dallas(Texas);Leonhardt Lagoon Nature Walk, Dallas(Texas);Frontiers of Flight Museum, Dallas(Texas);", "lunch": "MONKS, Dallas(Texas)", "dinner": "The Grill @ 76, Dallas(Texas)", "accommodation": "*Fresh Budget Room, Dallas(Texas)"}, {"days": 3, "current_city": "from Dallas(Texas) to San Angelo(Texas)", "transportation": "Taxi, from Dallas(Texas) to San Angelo(Texas), duration: 3 hours 55 mins, distance: 415 km, cost: 415", "breakfast": "Cafe Gatherings, Dallas(Texas)", "attraction": "Concho Riverwalk, San Angelo(Texas);", "lunch": "Punjabi Pakwaan, San Angelo(Texas)", "dinner": "Mr. Brown, San Angelo(Texas)", "accommodation": "INCREDIBLE TOWNHOUSE 4 STORIES 5 BEDROOMS 3 BATH, San Angelo(Texas)"}, {"days": 4, "current_city": "San Angelo(Texas)", "transportation": "-", "breakfast": "Mandeep Punjabi Rasoi, San Angelo(Texas)", "attraction": "Mayer Museum, San Angelo(Texas);San Angelo State Park, South Entrance, San Angelo(Texas);", "lunch": "Anjali Resaturant, San Angelo(Texas)", "dinner": "Kaptain Bakery, San Angelo(Texas)", "accommodation": "INCREDIBLE TOWNHOUSE 4 STORIES 5 BEDROOMS 3 BATH, San Angelo(Texas)"}, {"days": 5, "current_city": "from San Angelo(Texas) to Houston(Texas)", "transportation": "Taxi, from San Angelo(Texas) to Houston(Texas), duration: 5 hours 46 mins, distance: 587 km, cost: 587", "breakfast": "Break Fast Point, San Angelo(Texas)", "attraction": "-", "lunch": "District 6, San Angelo(Texas)", "dinner": "Jalapenos, Houston(Texas)", "accommodation": "Sunny and Airy near Manhattan, Houston(Texas)"}, {"days": 6, "current_city": "Houston(Texas)", "transportation": "-", "breakfast": "Super Bakery, Houston(Texas)", "attraction": "Space Center Houston, Houston(Texas);Discovery Green, Houston(Texas);", "lunch": "Sheetla Dhaba, Houston(Texas)", "dinner": "Royal Mart, Houston(Texas)", "accommodation": "Sunny and Airy near Manhattan, Houston(Texas)"}, {"days": 7, "current_city": "from Houston(Texas) to Gulfport", "transportation": "Flight Number: F3917573, from Houston(Texas) to Gulfport, Departure Time: 21:46, Arrival Time: 23:05", "breakfast": "Truth Coffee, Houston(Texas)", "attraction": "Houston Zoo, Houston(Texas);", "lunch": "Istanbul Restaurant, Houston(Texas)", "dinner": "Hurry Curry Express, Houston(Texas)", "accommodation": "-"}]]

plan/plan_14.json

@@ -0,0 +1 @@
+[{"org": "Daytona Beach", "dest": "Texas", "days": 7, "visiting_city_number": 3, "date": ["2022-03-18", "2022-03-19", "2022-03-20", "2022-03-21", "2022-03-22", "2022-03-23", "2022-03-24"], "people_number": 1, "local_constraint": {"house rule": null, "cuisine": null, "room type": null, "transportation": null}, "budget": 3600, "query": "Could you help me come up with a travel plan that starts in Daytona Beach and includes visits to 3 distinct cities in Texas over a span of 7 days, from March 18th to March 24th, 2022? I'll be traveling alone on a budget of $3,600.", "level": "easy"}, [{"days": 1, "current_city": "from Daytona Beach to Corpus Christi(Texas)", "transportation": "Self-driving, from Daytona Beach to Corpus Christi(Texas), duration: 16 hours 52 mins, distance: 1,874 km, cost: 93", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "Penthouse Apartment in Chelsea, Corpus Christi(Texas)"}, {"days": 2, "current_city": "Corpus Christi(Texas)", "transportation": "-", "breakfast": "Confeitaria Colombo, Corpus Christi(Texas)", "attraction": "Texas State Aquarium, Corpus Christi(Texas);The Art Museum of South Texas, Corpus Christi(Texas);", "lunch": "The Binge Box Cafe, Corpus Christi(Texas)", "dinner": "Let's Noodle, Corpus Christi(Texas)", "accommodation": "Penthouse Apartment in Chelsea, Corpus Christi(Texas)"}, {"days": 3, "current_city": "from Corpus Christi(Texas) to San Antonio(Texas)", "transportation": "Self-driving, from Corpus Christi(Texas) to San Antonio(Texas), duration: 2 hours 2 mins, distance: 231 km, cost: 11", "breakfast": "Alwar Sweets, Corpus Christi(Texas)", "attraction": "San Antonio Museum of Art (SAMA), San Antonio(Texas);San Antonio Missions National Historical Park, San Antonio(Texas);", "lunch": "Cafe Le Rue @ The Landings, San Antonio(Texas)", "dinner": "Burger Queen Drive In, San Antonio(Texas)", "accommodation": "Private House in Trendy Crown Heights, San Antonio(Texas)"}, {"days": 4, "current_city": "San Antonio(Texas)", "transportation": "-", "breakfast": "Cafe Shaze, San Antonio(Texas)", "attraction": "San Antonio Zoo, San Antonio(Texas);The Alamo, San Antonio(Texas);", "lunch": "The Boozy Cow, San Antonio(Texas)", "dinner": "Zaika Tiffin Center, San Antonio(Texas)", "accommodation": "Private House in Trendy Crown Heights, San Antonio(Texas)"}, {"days": 5, "current_city": "from San Antonio(Texas) to Dallas(Texas)", "transportation": "Self-driving, from San Antonio(Texas) to Dallas(Texas), duration: 4 hours 2 mins, distance: 440 km, cost: 22", "breakfast": "Spice Deli, San Antonio(Texas)", "attraction": "The Dallas World Aquarium, Dallas(Texas);", "lunch": "Castle 9, Dallas(Texas)", "dinner": "Metro Fast Food, Dallas(Texas)", "accommodation": "*Fresh Budget Room, Dallas(Texas)"}, {"days": 6, "current_city": "Dallas(Texas)", "transportation": "-", "breakfast": "Cafe Gatherings, Dallas(Texas)", "attraction": "African American Museum of Dallas, Dallas(Texas);Leonhardt Lagoon Nature Walk, Dallas(Texas);", "lunch": "L'Opera, Dallas(Texas)", "dinner": "Kebab Xpress, Dallas(Texas)", "accommodation": "*Fresh Budget Room, Dallas(Texas)"}, {"days": 7, "current_city": "from Dallas(Texas) to Daytona Beach", "transportation": "Self-driving, from Dallas(Texas) to Daytona Beach, duration: 16 hours 0 mins, distance: 1,746 km, cost: 87", "breakfast": "McDonald's, Dallas(Texas)", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}]]

plan/plan_15.json

@@ -0,0 +1 @@
+[{"org": "Punta Gorda", "dest": "Wisconsin", "days": 7, "visiting_city_number": 3, "date": ["2022-03-16", "2022-03-17", "2022-03-18", "2022-03-19", "2022-03-20", "2022-03-21", "2022-03-22"], "people_number": 1, "local_constraint": {"house rule": null, "cuisine": null, "room type": null, "transportation": null}, "budget": 5700, "query": "Please help me craft a 7-day travel plan. I'm planning on leaving from Punta Gorda and exploring 3 different cities in Wisconsin from March 16th to March 22nd, 2022. The budget for this trip is set at $5,700.", "level": "easy"}, [{"days": 1, "current_city": "from Punta Gorda to Marquette(Wisconsin)", "transportation": "Self-driving, from Punta Gorda to Marquette(Wisconsin), duration: 19 hours 44 mins, distance: 2,196 km, cost: 109", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Jamjar, Marquette(Wisconsin)", "accommodation": "Private Studio-like room on the Upper West Side., Marquette(Wisconsin)"}, {"days": 2, "current_city": "Marquette(Wisconsin)", "transportation": "-", "breakfast": "The Chop House, Marquette(Wisconsin)", "attraction": "Presque Isle Park, Marquette(Wisconsin);Marquette Harbor Lighthouse, Marquette(Wisconsin);", "lunch": "Taste of Balingup, Marquette(Wisconsin)", "dinner": "Dovetail, Marquette(Wisconsin)", "accommodation": "Private Studio-like room on the Upper West Side., Marquette(Wisconsin)"}, {"days": 3, "current_city": "from Marquette(Wisconsin) to Madison(Wisconsin)", "transportation": "Self-driving, from Marquette(Wisconsin) to Madison(Wisconsin), duration: 1 hour 17 mins, distance: 126 km, cost: 6", "breakfast": "Indian Coffee House, Marquette(Wisconsin)", "attraction": "Madison Museum of Contemporary Art, Madison(Wisconsin);", "lunch": "Dezertfox, Madison(Wisconsin)", "dinner": "Buta Singh Da Dhabba, Madison(Wisconsin)", "accommodation": "Cute private space in an Awesome Location, Madison(Wisconsin)"}, {"days": 4, "current_city": "Madison(Wisconsin)", "transportation": "-", "breakfast": "Moet's Sizzlers, Madison(Wisconsin)", "attraction": "Period Garden Park, Madison(Wisconsin);Picnic Point, Madison(Wisconsin);", "lunch": "Nik's Kitchen, Madison(Wisconsin)", "dinner": "Shanta Fresh Fish Corner, Madison(Wisconsin)", "accommodation": "Cute private space in an Awesome Location, Madison(Wisconsin)"}, {"days": 5, "current_city": "from Madison(Wisconsin) to Devils Lake(Wisconsin)", "transportation": "Self-driving, from Madison(Wisconsin) to Devils Lake(Wisconsin), duration: 56 mins, distance: 70.7 km, cost: 3", "breakfast": "-", "attraction": "Physics Museum, Madison(Wisconsin);James Madison Park, Madison(Wisconsin);", "lunch": "Din Tai Fung, Devils Lake(Wisconsin)", "dinner": "Zaffran - The Claremont, Devils Lake(Wisconsin)", "accommodation": "Private Room, Modern Finishes - AC and Backyard!, Devils Lake(Wisconsin)"}, {"days": 6, "current_city": "Devils Lake(Wisconsin)", "transportation": "-", "breakfast": "Cafe Coffee Day The Square, Devils Lake(Wisconsin)", "attraction": "Lake Region Heritage Center, Devils Lake(Wisconsin);Ice fishing North Dakota devils lake, Devils Lake(Wisconsin);", "lunch": "ABC Restaurant, Devils Lake(Wisconsin)", "dinner": "Talab South Indian Restaurant, Devils Lake(Wisconsin)", "accommodation": "Private Room, Modern Finishes - AC and Backyard!, Devils Lake(Wisconsin)"}, {"days": 7, "current_city": "from Devils Lake(Wisconsin) to Punta Gorda", "transportation": "Self-driving, from Devils Lake(Wisconsin) to Punta Gorda, duration: 21 hours 1 min, distance: 2,346 km, cost: 117", "breakfast": "Chinese King, Devils Lake(Wisconsin)", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}]]

plan/plan_16.json

@@ -0,0 +1,62 @@
+[
+    {
+        "org": "Fort Lauderdale",
+        "dest": "Norfolk",
+        "days": 3,
+        "visiting_city_number": 1,
+        "date": [
+            "2022-03-16",
+            "2022-03-17",
+            "2022-03-18"
+        ],
+        "people_number": 2,
+        "local_constraint": {
+            "house rule": null,
+            "cuisine": [
+                "American",
+                "French"
+            ],
+            "room type": null,
+            "transportation": null
+        },
+        "budget": 2300,
+        "query": "Could you devise a travel plan for two departing from Fort Lauderdale and heading to Norfolk? This should span 3 days, from March 16th to March 18th, 2022, with a budget of $2,300. We have no specific accommodation restrictions. As for our culinary preferences, we enjoy both American and French cuisine.",
+        "level": "middle"
+    },
+    [
+        {
+            "days": 1,
+            "current_city": "from Fort Lauderdale to Norfolk",
+            "transportation": "Self-driving, from Fort Lauderdale to Norfolk, duration: 13 hours 24 mins, distance: 1,510 km, cost: 75",
+            "breakfast": "-",
+            "attraction": "-",
+            "lunch": "-",
+            "dinner": "Sunshine Family Restaurant, Norfolk",
+            "accommodation": "Park Slope garden oasis, Norfolk"
+        },
+        {
+            "days": 2,
+            "current_city": "Norfolk",
+            "transportation": "-",
+            "breakfast": "Biryaniwala, Norfolk",
+            "attraction": "Chrysler Museum of Art, Norfolk;MacArthur Memorial Museum Jean MacArthur Research Center, Norfolk;",
+            "lunch": "Chankya, Norfolk",
+            "dinner": "Red Chilli, Norfolk",
+            "accommodation": "Park Slope garden oasis, Norfolk"
+        },
+        {
+            "days": 3,
+            "current_city": "from Norfolk to Fort Lauderdale",
+            "transportation": "Self-driving, from Norfolk to Fort Lauderdale, duration: 13 hours 35 mins, distance: 1,515 km, cost: 75",
+            "breakfast": "Aashirwad, Norfolk",
+            "attraction": "-",
+            "lunch": "-",
+            "dinner": "-",
+            "accommodation": "-"
+        },
+        {},
+        {},
+        {},
+        {}
+    ]
+]

plan/plan_17.json

@@ -0,0 +1 @@
+[{"org": "Sacramento", "dest": "Atlanta", "days": 3, "visiting_city_number": 1, "date": ["2022-03-14", "2022-03-15", "2022-03-16"], "people_number": 2, "local_constraint": {"house rule": "parties", "cuisine": null, "room type": null, "transportation": null}, "budget": 4700, "query": "Could you please arrange a 3-day trip for two, starting in Sacramento and heading to Atlanta, from March 14th to March 16th, 2022. The budget for this trip is $4,700, and we require accommodations where parties are allowed.", "level": "middle"}, [{"days": 1, "current_city": "from Sacramento to Atlanta", "transportation": "Flight Number: F3527024, from Sacramento to Atlanta, Departure Time: 12:18, Arrival Time: 19:36", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "The Krib, Atlanta", "accommodation": "Spacious private room close St. Barnabas Hospital, Atlanta"}, {"days": 2, "current_city": "Atlanta", "transportation": "-", "breakfast": "Saffron, Atlanta", "attraction": "Georgia Aquarium, Atlanta;Martin Luther King, Jr. National Historical Park, Atlanta;Piedmont Park, Atlanta;", "lunch": "Chef Style, Atlanta", "dinner": "Pizza Central, Atlanta", "accommodation": "Spacious private room close St. Barnabas Hospital, Atlanta"}, {"days": 3, "current_city": "from Atlanta to Sacramento", "transportation": "Flight Number: F3542376, from Atlanta to Sacramento, Departure Time: 17:53, Arrival Time: 20:36", "breakfast": "Caboose X Cafe & Lounge, Atlanta", "attraction": "Krog Street Tunnel, Atlanta;Fernbank Museum | 3D Theater | Forest, Atlanta;Fox Theatre, Atlanta;", "lunch": "Chawla Snacks, Atlanta", "dinner": "Beliram Degchiwala, Atlanta", "accommodation": "-"}, {}, {}, {}, {}]]

plan/plan_18.json

@@ -0,0 +1 @@
+[{"org": "Asheville", "dest": "Baltimore", "days": 3, "visiting_city_number": 1, "date": ["2022-03-20", "2022-03-21", "2022-03-22"], "people_number": 8, "local_constraint": {"house rule": "children under 10", "cuisine": null, "room type": null, "transportation": null}, "budget": 6500, "query": "Please create a 3-day trip itinerary for a group of 8, departing from Asheville and heading to Baltimore. The travel dates are from March 20th to March 22nd, 2022. Our budget is set at $6,500. Since we'll be traveling with young children, our accommodations must be suitable for children under 10.", "level": "middle"}, [{"days": 1, "current_city": "from Asheville to Baltimore", "transportation": "Self-driving, from Asheville to Baltimore, duration: 7 hours 43 mins, distance: 819 km, cost: 819", "breakfast": "-", "attraction": "National Aquarium, Baltimore;", "lunch": "-", "dinner": "Farzi Cafe, Baltimore", "accommodation": "Historic UES Penthouse/Rooftop Terrace by the MET, Baltimore"}, {"days": 2, "current_city": "Baltimore", "transportation": "-", "breakfast": "28 Capri Italy, Baltimore", "attraction": "Port Discovery Children's Museum, Baltimore;Baltimore Harbor, Baltimore;Inner Harbor, Baltimore;", "lunch": "Shiv Saras Vyanjan, Baltimore", "dinner": "Cook Du Kdu, Baltimore", "accommodation": "Historic UES Penthouse/Rooftop Terrace by the MET, Baltimore"}, {"days": 3, "current_city": "from Baltimore to Asheville", "transportation": "Self-driving, from Baltimore to Asheville, duration: 7 hours 43 mins, distance: 817 km, cost: 40", "breakfast": "The Retriever, Baltimore", "attraction": "Oriole Park at Camden Yards, Baltimore;", "lunch": "Mr. Dunderbak's Biergarten and Marketplatz, Baltimore", "dinner": "-", "accommodation": "-"}, {}, {}, {}, {}]]

plan/plan_19.json

@@ -0,0 +1,59 @@
+[
+    {
+        "org": "Washington",
+        "dest": "Orlando",
+        "days": 3,
+        "visiting_city_number": 1,
+        "date": [
+            "2022-03-15",
+            "2022-03-16",
+            "2022-03-17"
+        ],
+        "people_number": 2,
+        "local_constraint": {
+            "house rule": null,
+            "cuisine": null,
+            "room type": "private room",
+            "transportation": null
+        },
+        "budget": 2000,
+        "query": "Please help in creating a travel plan for two people departing from Washington and heading to Orlando for three days, between March 15th and March 17th, 2022. The budget for this trip is $2,000 and we would prefer to have private rooms for our stay.",
+        "level": "middle"
+    },
+    [
+        {
+            "days": 1,
+            "current_city": "from Washington to Orlando",
+            "transportation": "Self-driving, from Washington to Orlando, duration: 12 hours 14 mins, distance: 1,364 km, cost: 68",
+            "breakfast": "-",
+            "attraction": "-",
+            "lunch": "-",
+            "dinner": "Turquoise Villa, Orlando",
+            "accommodation": "Private room. 1 bed, 2 guests, 3333 Broadway, Orlando"
+        },
+        {
+            "days": 2,
+            "current_city": "Orlando",
+            "transportation": "-",
+            "breakfast": "Wai Yu Mun Ching, Orlando",
+            "attraction": "The Wheel at ICON Park, Orlando;Seuss Landing, Orlando;",
+            "lunch": "Veg O Non, Orlando",
+            "dinner": "Nirula's Ice Cream, Orlando",
+            "accommodation": "Private room. 1 bed, 2 guests, 3333 Broadway, Orlando"
+        },
+        {
+            "days": 3,
+            "current_city": "from Orlando to Washington",
+            "transportation": "Self-driving, from Orlando to Washington, duration: 12 hours 9 mins, distance: 1,361 km, cost: 68",
+            "breakfast": "Fun Bytes, Orlando",
+            "attraction": "-",
+            "lunch": "-",
+            "dinner": "-",
+            "accommodation": "-"
+        },
+        {},
+        {},
+        {},
+        {}
+    ]
+]

plan/plan_2.json

@@ -0,0 +1 @@
+[{"org": "Kansas City", "dest": "Pensacola", "days": 3, "visiting_city_number": 1, "date": ["2022-03-27", "2022-03-28", "2022-03-29"], "people_number": 1, "local_constraint": {"house rule": null, "cuisine": null, "room type": null, "transportation": null}, "budget": 900, "query": "Can you provide a travel plan for 1 person departing from Kansas City to Pensacola for 3 days, from March 27th to March 29th, 2022, with a budget of $900?", "level": "easy"}, [{"days": 1, "current_city": "from Kansas City to Pensacola", "transportation": "Self-driving, from Kansas City to Pensacola, duration: 14 hours 2 mins, distance: 1,433 km, cost: 71", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Jyoti Dhaba, Pensacola", "accommodation": "Cozy 1-Bedroom Apartment 2 Blocks from the Subway, Pensacola"}, {"days": 2, "current_city": "Pensacola", "transportation": "-", "breakfast": "Watershed Cafe, Pensacola", "attraction": "Historic Pensacola Village, Pensacola;Pensacola Museum of Art, Pensacola;Palafox Street Downtown Pensacola, Pensacola;Plaza De Luna Memorial Monument, Pensacola;", "lunch": "Berry Patch Restaurant, Pensacola", "dinner": "Bailey's Bar-B-Que, Pensacola", "accommodation": "Cozy 1-Bedroom Apartment 2 Blocks from the Subway, Pensacola"}, {"days": 3, "current_city": "from Pensacola to Kansas City", "transportation": "Self-driving, from Pensacola to Kansas City, duration: 13 hours 59 mins, distance: 1,447 km, cost: 72", "breakfast": "Frog Hollow Tavern, Pensacola", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}, {}, {}, {}, {}]]

plan/plan_20.json

@@ -0,0 +1 @@
+[{"org": "Fort Lauderdale", "dest": "Milwaukee", "days": 3, "visiting_city_number": 1, "date": ["2022-03-08", "2022-03-09", "2022-03-10"], "people_number": 2, "local_constraint": {"house rule": null, "cuisine": ["American", "Chinese"], "room type": null, "transportation": null}, "budget": 1100, "query": "Please create a 3-day travel itinerary for 2 people beginning in Fort Lauderdale and ending in Milwaukee from the 8th to the 10th of March, 2022. Our travel budget is set at $1,100. We'd love to experience both American and Chinese cuisines during our journey.", "level": "middle"}, [{"days": 1, "current_city": "from Fort Lauderdale to Milwaukee", "transportation": "Self-driving, from Fort Lauderdale to Milwaukee, duration: 21 hours 6 mins, distance: 2,340 km, cost: 117", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Madly Bangalee, Milwaukee", "accommodation": "Affordable bedroom in the East Village!, Milwaukee"}, {"days": 2, "current_city": "Milwaukee", "transportation": "-", "breakfast": "Cake O Frost, Milwaukee", "attraction": "Milwaukee Public Museum, Milwaukee;Milwaukee County Zoo, Milwaukee;", "lunch": "Welcome Fast Food & Parantha, Milwaukee", "dinner": "Shawarma King's, Milwaukee", "accommodation": "Affordable bedroom in the East Village!, Milwaukee"}, {"days": 3, "current_city": "from Milwaukee to Fort Lauderdale", "transportation": "Self-driving, from Milwaukee to Fort Lauderdale, duration: 21 hours 6 mins, distance: 2,336 km, cost: 116", "breakfast": "Cool Basil, Milwaukee", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}, {}, {}, {}, {}]]

plan/plan_21.json

@@ -0,0 +1,79 @@
+[
+    {
+        "org": "Nashville",
+        "dest": "Pennsylvania",
+        "days": 5,
+        "visiting_city_number": 2,
+        "date": [
+            "2022-03-12",
+            "2022-03-13",
+            "2022-03-14",
+            "2022-03-15",
+            "2022-03-16"
+        ],
+        "people_number": 6,
+        "local_constraint": {
+            "house rule": null,
+            "cuisine": null,
+            "room type": "entire room",
+            "transportation": null
+        },
+        "budget": 15100,
+        "query": "Could you formulate a 5-day trip plan for a group of 6 people? We will be starting in Nashville and would like to cover 2 cities in Pennsylvania from March 12th to March 16th, 2022. Our budget is approximately $15,100, and we would like to rent entire rooms for our accommodations.",
+        "level": "middle"
+    },
+    [
+        {
+            "days": 1,
+            "current_city": "from Nashville to Pittsburgh(Pennsylvania)",
+            "transportation": "Flight Number: F3947470, from Nashville to Pittsburgh(Pennsylvania), Departure Time: 09:54, Arrival Time: 12:15",
+            "breakfast": "-",
+            "attraction": "The Andy Warhol Museum, Pittsburgh(Pennsylvania);",
+            "lunch": "Beijing Cafe, Pittsburgh(Pennsylvania)",
+            "dinner": "Via Delhi, Pittsburgh(Pennsylvania)",
+            "accommodation": "New Designer 4 Bedroom, AC-Laundry. Next to Subway, Pittsburgh(Pennsylvania)"
+        },
+        {
+            "days": 2,
+            "current_city": "Pittsburgh(Pennsylvania)",
+            "transportation": "-",
+            "breakfast": "Maharaja Bhog, Pittsburgh(Pennsylvania)",
+            "attraction": "Pittsburgh Zoo & Aquarium, Pittsburgh(Pennsylvania);Randyland, Pittsburgh(Pennsylvania);",
+            "lunch": "Aryan Family's Delight, Pittsburgh(Pennsylvania)",
+            "dinner": "Standard Family Restaurant, Pittsburgh(Pennsylvania)",
+            "accommodation": "New Designer 4 Bedroom, AC-Laundry. Next to Subway, Pittsburgh(Pennsylvania)"
+        },
+        {
+            "days": 3,
+            "current_city": "from Pittsburgh(Pennsylvania) to Philadelphia(Pennsylvania)",
+            "transportation": "Taxi, from Pittsburgh(Pennsylvania) to Philadelphia(Pennsylvania), duration: 4 hours 45 mins, distance: 490 km, cost: 490",
+            "breakfast": "Embassy, Pittsburgh(Pennsylvania)",
+            "attraction": "The Franklin Institute, Philadelphia(Pennsylvania);",
+            "lunch": "Hong Kong Cafe, Philadelphia(Pennsylvania)",
+            "dinner": "Red Ginger Sushi, Grill & Bar, Philadelphia(Pennsylvania)",
+            "accommodation": "Modern Luxury Apartment in Heart of Williamsburg, Philadelphia(Pennsylvania)"
+        },
+        {
+            "days": 4,
+            "current_city": "Philadelphia(Pennsylvania)",
+            "transportation": "-",
+            "breakfast": "Hippopotamus - Museum Hotel, Philadelphia(Pennsylvania)",
+            "attraction": "The M\u00fctter Museum at The College of Physicians of Philadelphia, Philadelphia(Pennsylvania);Betsy Ross House, Philadelphia(Pennsylvania);",
+            "lunch": "Pizza Hut, Philadelphia(Pennsylvania)",
+            "dinner": "Domino's Pizza, Philadelphia(Pennsylvania)",
+            "accommodation": "Modern Luxury Apartment in Heart of Williamsburg, Philadelphia(Pennsylvania)"
+        },
+        {
+            "days": 5,
+            "current_city": "from Philadelphia(Pennsylvania) to Nashville",
+            "transportation": "Flight Number: F4006255, from Philadelphia(Pennsylvania) to Nashville, Departure Time: 20:50, Arrival Time: 21:43",
+            "breakfast": "Asian Chopstick, Philadelphia(Pennsylvania)",
+            "attraction": "Philadelphia Zoo, Philadelphia(Pennsylvania);",
+            "lunch": "Bangla Sweet Corner, Philadelphia(Pennsylvania)",
+            "dinner": "Bikaner Sweets & Namkeen, Philadelphia(Pennsylvania)",
+            "accommodation": "-"
+        },
+        {},
+        {}
+    ]
+]

plan/plan_22.json

@@ -0,0 +1 @@
+[{"org": "New York", "dest": "Louisiana", "days": 5, "visiting_city_number": 2, "date": ["2022-03-15", "2022-03-16", "2022-03-17", "2022-03-18", "2022-03-19"], "people_number": 4, "local_constraint": {"house rule": "smoking", "cuisine": null, "room type": null, "transportation": null}, "budget": 12300, "query": "Could you help create a 5-day travel itinerary for a group of 4, starting from New York and visiting 2 cities in Louisiana from March 15th to March 19th, 2022? We have a budget of $12,300. Please note that we require accommodations where smoking is permissible.", "level": "middle"}, [{"days": 1, "current_city": "from New York to New Orleans(Louisiana)", "transportation": "Flight Number: F3525619, from New York to New Orleans(Louisiana), Departure Time: 07:40, Arrival Time: 10:01", "breakfast": "-", "attraction": "New Orleans City Park, New Orleans(Louisiana);Audubon Aquarium, New Orleans(Louisiana);", "lunch": "Town Table Restaurant, New Orleans(Louisiana)", "dinner": "Momo-Cha, New Orleans(Louisiana)", "accommodation": "A great place to crash., New Orleans(Louisiana)"}, {"days": 2, "current_city": "New Orleans(Louisiana)", "transportation": "-", "breakfast": "Sage, New Orleans(Louisiana)", "attraction": "Jackson Square, New Orleans(Louisiana);The National WWII Museum, New Orleans(Louisiana);Audubon Zoo, New Orleans(Louisiana);", "lunch": "Chinese Hot Express, New Orleans(Louisiana)", "dinner": "Amici Gourmet Pizza, New Orleans(Louisiana)", "accommodation": "A great place to crash., New Orleans(Louisiana)"}, {"days": 3, "current_city": "from New Orleans(Louisiana) to Baton Rouge(Louisiana)", "transportation": "Taxi, from New Orleans(Louisiana) to Baton Rouge(Louisiana), duration: 1 hour 17 mins, distance: 131 km, cost: 131", "breakfast": "Cafe Coffee Day, New Orleans(Louisiana)", "attraction": "Louisiana's Old State Capitol, Baton Rouge(Louisiana);USS KIDD Veterans Museum, Baton Rouge(Louisiana);Capitol Park Museum, Baton Rouge(Louisiana);", "lunch": "The Blaze, Baton Rouge(Louisiana)", "dinner": "Roti Te Boti, Baton Rouge(Louisiana)", "accommodation": "Lovely West Village 1 BR - Quiet and Comfortable, Baton Rouge(Louisiana)"}, {"days": 4, "current_city": "Baton Rouge(Louisiana)", "transportation": "-", "breakfast": "Tandoori Planet, Baton Rouge(Louisiana)", "attraction": "Magnolia Mound Plantation, Baton Rouge(Louisiana);Mike the Tiger's Habitat, Baton Rouge(Louisiana);Blue Bayou Water Park, Baton Rouge(Louisiana);", "lunch": "Food Plaza, Baton Rouge(Louisiana)", "dinner": "Gupta Sweets & Namkeen, Baton Rouge(Louisiana)", "accommodation": "Lovely West Village 1 BR - Quiet and Comfortable, Baton Rouge(Louisiana)"}, {"days": 5, "current_city": "from Baton Rouge(Louisiana) to New York", "transportation": "Taxi, from Baton Rouge(Louisiana) to New York, duration: 20 hours 3 mins, distance: 2,192 km, cost: 2192", "breakfast": "The Black Bamboo, Baton Rouge(Louisiana)", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}, {}, {}]]

plan/plan_23.json

@@ -0,0 +1 @@
+[{"org": "San Jose", "dest": "Idaho", "days": 5, "visiting_city_number": 2, "date": ["2022-03-01", "2022-03-02", "2022-03-03", "2022-03-04", "2022-03-05"], "people_number": 7, "local_constraint": {"house rule": null, "cuisine": ["Indian", "French"], "room type": null, "transportation": null}, "budget": 13900, "query": "Can you help create a 5-day travel itinerary for a group of 7, departing from San Jose and covering 2 cities in Idaho, from March 1st to March 5th, 2022? We have a budget of $13,900. We'd love to try Indian and French cuisine on our journey.", "level": "middle"}, [{"days": 1, "current_city": "from San Jose to Boise(Idaho)", "transportation": "Flight Number: F3937562, from San Jose to Boise(Idaho), Departure Time: 14:01, Arrival Time: 16:28", "breakfast": "-", "attraction": "Zoo Boise, Boise(Idaho);", "lunch": "-", "dinner": "Apna Punjabi Zayka, Boise(Idaho)", "accommodation": "Duplex 5 BR apartment in a historic brownstone, Boise(Idaho)"}, {"days": 2, "current_city": "Boise(Idaho)", "transportation": "-", "breakfast": "Blooms - Eros Hotel, Boise(Idaho)", "attraction": "Camel's Back Park, Boise(Idaho);Basque Museum and Cultural Center, Boise(Idaho);Kathryn Albertson Park, Boise(Idaho);", "lunch": "Goodies- Snacks N More, Boise(Idaho)", "dinner": "Greenvich, Boise(Idaho)", "accommodation": "Duplex 5 BR apartment in a historic brownstone, Boise(Idaho)"}, {"days": 3, "current_city": "from Boise(Idaho) to Idaho Falls(Idaho)", "transportation": "Taxi, from Boise(Idaho) to Idaho Falls(Idaho), duration: 4 hours 1 min, distance: 451 km, cost: 451", "breakfast": "Gopala Hari, Boise(Idaho)", "attraction": "Giant Eagle Waterfall Nest, Idaho Falls(Idaho);Museum of Idaho, Idaho Falls(Idaho);Eagle Rock Fountain, Idaho Falls(Idaho);", "lunch": "Fresh n Frozen, Idaho Falls(Idaho)", "dinner": "Le Swaadik, Idaho Falls(Idaho)", "accommodation": "Perfect Williamsburg Summer Haven, Idaho Falls(Idaho)"}, {"days": 4, "current_city": "Idaho Falls(Idaho)", "transportation": "-", "breakfast": "Karim's, Idaho Falls(Idaho)", "attraction": "Reinhart Park, Idaho Falls(Idaho);Mini Golden Gate Bridge, Idaho Falls(Idaho);", "lunch": "Charu Nanda's Home Baked Cakes, Idaho Falls(Idaho)", "dinner": "Chinese X'Press, Idaho Falls(Idaho)", "accommodation": "Perfect Williamsburg Summer Haven, Idaho Falls(Idaho)"}, {"days": 5, "current_city": "from Idaho Falls(Idaho) to San Jose", "transportation": "Taxi, from Idaho Falls(Idaho) to San Jose, duration: 12 hours 52 mins, distance: 1,387 km, cost: 1387", "breakfast": "Taste of China, Idaho Falls(Idaho)", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}, {}, {}]]

plan/plan_24.json

@@ -0,0 +1 @@
+[{"org": "Asheville", "dest": "New York", "days": 5, "visiting_city_number": 2, "date": ["2022-03-13", "2022-03-14", "2022-03-15", "2022-03-16", "2022-03-17"], "people_number": 2, "local_constraint": {"house rule": null, "cuisine": ["Mexican", "Chinese"], "room type": null, "transportation": null}, "budget": 4700, "query": "Can you provide me with a 5-day travel plan for 2 people, starting from Asheville and exploring 2 cities in New York from March 13th to March 17th, 2022? Our budget is set at $4,700 and we would love to try local Mexican and Chinese cuisines during our trip.", "level": "middle"}, [{"days": 1, "current_city": "from Asheville to New York(New York)", "transportation": "Flight Number: F3641730, from Asheville to New York(New York), Departure Time: 13:49, Arrival Time: 15:40", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Rambhog, New York(New York)", "accommodation": "A Contemporary Homelike Stay in the Best of BK, New York(New York)"}, {"days": 2, "current_city": "New York(New York)", "transportation": "-", "breakfast": "Lord of the Drinks Forum, New York(New York)", "attraction": "Top of The Rock, New York(New York);One World Observatory, New York(New York);", "lunch": "Seasons 52 Fresh Grill, New York(New York)", "dinner": "Gurgaon Hights, New York(New York)", "accommodation": "A Contemporary Homelike Stay in the Best of BK, New York(New York)"}, {"days": 3, "current_city": "from New York(New York) to Buffalo(New York)", "transportation": "Taxi, from New York(New York) to Buffalo(New York), duration: 6 hours 10 mins, distance: 600 km, cost: 600", "breakfast": "Hungry Ullu, New York(New York)", "attraction": "-", "lunch": "Garam Masala Food Corner, New York(New York)", "dinner": "Shokitini, Buffalo(New York)", "accommodation": "A SUPERB One Bedroom Apartment, Buffalo(New York)"}, {"days": 4, "current_city": "Buffalo(New York)", "transportation": "-", "breakfast": "Ammu's South Indian Restaurant, Buffalo(New York)", "attraction": "The Buffalo Zoo, Buffalo(New York);Buffalo AKG Art Museum, Buffalo(New York);", "lunch": "HSI Food World, Buffalo(New York)", "dinner": "Shama Chicken Corner, Buffalo(New York)", "accommodation": "A SUPERB One Bedroom Apartment, Buffalo(New York)"}, {"days": 5, "current_city": "from Buffalo(New York) to Asheville", "transportation": "Taxi, from Buffalo(New York) to Asheville, duration: 10 hours 27 mins, distance: 1,110 km, cost: 1110", "breakfast": "Madras Cafe, Buffalo(New York)", "attraction": "-", "lunch": "Lutyens Cocktail House, Buffalo(New York)", "dinner": "-", "accommodation": "-"}, {}, {}]]

plan/plan_25.json

@@ -0,0 +1 @@
+[{"org": "Memphis", "dest": "Minnesota", "days": 5, "visiting_city_number": 2, "date": ["2022-03-01", "2022-03-02", "2022-03-03", "2022-03-04", "2022-03-05"], "people_number": 4, "local_constraint": {"house rule": null, "cuisine": null, "room type": "private room", "transportation": null}, "budget": 13800, "query": "Could you draft a 5-day travel plan for a group of 4 departing from Memphis and venturing into 2 cities in Minnesota? Our travels are scheduled from March 1st to March 5th, 2022, and our budget is set at $13,800. We require accommodations that provide private rooms.", "level": "middle"}, [{"days": 1, "current_city": "from Memphis to Minneapolis(Minnesota)", "transportation": "Flight Number: F3849516, from Memphis to Minneapolis(Minnesota), Departure Time: 18:16, Arrival Time: 20:19", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "Convent Ave & 127st Col Univ  RM 2, Minneapolis(Minnesota)"}, {"days": 2, "current_city": "Minneapolis(Minnesota)", "transportation": "-", "breakfast": "Malo, Minneapolis(Minnesota)", "attraction": "American Swedish Institute, Minneapolis(Minnesota);Stepped Tower, Minneapolis(Minnesota);Minnehaha Regional Park, Minneapolis(Minnesota);", "lunch": "Balbeer's Kitchen & Bar, Minneapolis(Minnesota)", "dinner": "Oregano India, Minneapolis(Minnesota)", "accommodation": "Convent Ave & 127st Col Univ  RM 2, Minneapolis(Minnesota)"}, {"days": 3, "current_city": "from Minneapolis(Minnesota) to Gustavus(Minnesota)", "transportation": "Taxi, from Minneapolis(Minnesota) to Gustavus(Minnesota), duration: 1 hour 9 mins, distance: 112 km, cost: 112", "breakfast": "Nukkadwala, Minneapolis(Minnesota)", "attraction": "Gustavus Community Garden, Gustavus(Minnesota);Glacier Bay National Park and Preserve Headquarters, Gustavus(Minnesota);Cross Sound Express Whale Watching, Gustavus(Minnesota);", "lunch": "Med E Taste, Gustavus(Minnesota)", "dinner": "On The Rocks - The  Atrium, Gustavus(Minnesota)", "accommodation": "Private room in Central Park North, Gustavus(Minnesota)"}, {"days": 4, "current_city": "Gustavus(Minnesota)", "transportation": "-", "breakfast": "For the Love of Cake, Gustavus(Minnesota)", "attraction": "Fairweather Adventures at Glacier Bay, Gustavus(Minnesota);Spirit Walker Expeditions, Gustavus(Minnesota);Gustavus Visitors Association, Gustavus(Minnesota);", "lunch": "Chaayos, Gustavus(Minnesota)", "dinner": "Krishna Da Dhaba, Gustavus(Minnesota)", "accommodation": "Private room in Central Park North, Gustavus(Minnesota)"}, {"days": 5, "current_city": "from Gustavus(Minnesota) to Memphis", "transportation": "Taxi, from Gustavus(Minnesota) to Memphis, duration: 12 hours 3 mins, distance: 1,294 km, cost: 1294", "breakfast": "Wood Box Cafe, Gustavus(Minnesota)", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}, {}, {}]]

plan/plan_26.json

@@ -0,0 +1 @@
+[{"org": "Santa Ana", "dest": "Texas", "days": 7, "visiting_city_number": 3, "date": ["2022-03-25", "2022-03-26", "2022-03-27", "2022-03-28", "2022-03-29", "2022-03-30", "2022-03-31"], "people_number": 4, "local_constraint": {"house rule": "children under 10", "cuisine": null, "room type": null, "transportation": null}, "budget": 5800, "query": "We need a 7-day travel plan for a group of 4, taking off from Santa Ana and visiting 3 different cities in Texas from March 25th to March 31st, 2022. Our budget is set at $5,800 for the trip. Additionally, our lodging options must accommodate children under the age of 10.", "level": "middle"}, [{"days": 1, "current_city": "from Santa Ana to Abilene(Texas)", "transportation": "Self-driving, from Santa Ana to Abilene(Texas), duration: 18 hours 0 mins, distance: 1,995 km, cost: 99", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Dilli Darbar, Abilene(Texas)", "accommodation": "Cozy Artists Apartment in Central Harlem, Abilene(Texas)"}, {"days": 2, "current_city": "Abilene(Texas)", "transportation": "-", "breakfast": "Biryani Express, Abilene(Texas)", "attraction": "Frontier Texas!, Abilene(Texas);Historic Fort Phantom Hill, Abilene(Texas);12th Armored Division Memorial, Abilene(Texas);National Center for Children's Illustrated Literature, Abilene(Texas);", "lunch": "Gelato Vinto, Abilene(Texas)", "dinner": "Thai Garden, Abilene(Texas)", "accommodation": "Cozy Artists Apartment in Central Harlem, Abilene(Texas)"}, {"days": 3, "current_city": "from Abilene(Texas) to Amarillo(Texas)", "transportation": "Self-driving, from Abilene(Texas) to Amarillo(Texas), duration: 4 hours 9 mins, distance: 446 km, cost: 22", "breakfast": "Inam Muradabadi, Abilene(Texas)", "attraction": "Amarillo Botanical Gardens, Amarillo(Texas);Cadillac Ranch, Amarillo(Texas);", "lunch": "-", "dinner": "U Like, Amarillo(Texas)", "accommodation": "1BR Doorman Bldg Boerum Hill BK, Amarillo(Texas)"}, {"days": 4, "current_city": "Amarillo(Texas)", "transportation": "-", "breakfast": "Wood Box Cafe, Amarillo(Texas)", "attraction": "Amarillo Zoo, Amarillo(Texas);Don Harrington Discovery Center, Amarillo(Texas);Texas Air & Space Museum, Amarillo(Texas);", "lunch": "Biryani Sons & Co., Amarillo(Texas)", "dinner": "Sugar Daddy Bakers, Amarillo(Texas)", "accommodation": "1BR Doorman Bldg Boerum Hill BK, Amarillo(Texas)"}, {"days": 5, "current_city": "from Amarillo(Texas) to Lubbock(Texas)", "transportation": "Self-driving, from Amarillo(Texas) to Lubbock(Texas), duration: 1 hour 47 mins, distance: 197 km, cost: 9", "breakfast": "The Cinnamon Kitchen, Amarillo(Texas)", "attraction": "Buddy Holly Center, Lubbock(Texas);", "lunch": "-", "dinner": "Keventers, Lubbock(Texas)", "accommodation": "Gorgeous Spacious Room in Clinton Hill, Lubbock(Texas)"}, {"days": 6, "current_city": "Lubbock(Texas)", "transportation": "-", "breakfast": "Handi, Lubbock(Texas)", "attraction": "American Windmill Museum, Lubbock(Texas);Mackenzie Main City Park, Lubbock(Texas);Museum of Texas Tech University, Lubbock(Texas);Prairie Dog Town, Lubbock(Texas);", "lunch": "Punjabi Chaap Corner, Lubbock(Texas)", "dinner": "Grand Barbeque Buffet Restaurant, Lubbock(Texas)", "accommodation": "Gorgeous Spacious Room in Clinton Hill, Lubbock(Texas)"}, {"days": 7, "current_city": "from Lubbock(Texas) to Santa Ana", "transportation": "Self-driving, from Lubbock(Texas) to Santa Ana, duration: 16 hours 25 mins, distance: 1,777 km, cost: 88", "breakfast": "Paris 6 Classique, Lubbock(Texas)", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}]]

plan/plan_27.json

@@ -0,0 +1 @@
+[{"org": "Sault Ste. Marie", "dest": "Michigan", "days": 7, "visiting_city_number": 3, "date": ["2022-03-15", "2022-03-16", "2022-03-17", "2022-03-18", "2022-03-19", "2022-03-20", "2022-03-21"], "people_number": 5, "local_constraint": {"house rule": null, "cuisine": null, "room type": "entire room", "transportation": null}, "budget": 12700, "query": "We are a group of 5 looking for a 7-day travel itinerary, departing from Sault Ste. Marie towards Michigan. We plan to visit 3 different cities from March 15th to March 21st, 2022. Our budget allows us to spend up to $12,700. We require entire rooms for our stay. Could you help us with this plan?", "level": "middle"}, [{"days": 1, "current_city": "from Sault Ste. Marie to Pellston(Michigan)", "transportation": "Self-driving, from Sault Ste. Marie to Pellston(Michigan), duration: 1 hour 16 mins, distance: 122 km, cost: 6", "breakfast": "-", "attraction": "Pellston Pioneer Park, Pellston(Michigan);Pellston Historical Society Museum, Pellston(Michigan);", "lunch": "Aroos Damascus, Pellston(Michigan)", "dinner": "Sagar Gaire Fast Food, Pellston(Michigan)", "accommodation": "Designer's Beautiful 2BR Apartment in NOLITA/SOHO, Pellston(Michigan)"}, {"days": 2, "current_city": "Pellston(Michigan)", "transportation": "-", "breakfast": "Mudrika Food Factory, Pellston(Michigan)", "attraction": "Mineral Well Park, Pellston(Michigan);McGulpin Point Lighthouse, Pellston(Michigan);", "lunch": "Sikandrabadi Biryani, Pellston(Michigan)", "dinner": "Ravi Ke Parathe, Pellston(Michigan)", "accommodation": "Designer's Beautiful 2BR Apartment in NOLITA/SOHO, Pellston(Michigan)"}, {"days": 3, "current_city": "from Pellston(Michigan) to Traverse City(Michigan)", "transportation": "Self-driving, from Pellston(Michigan) to Traverse City(Michigan), duration: 1 hour 50 mins, distance: 137 km, cost: 6", "breakfast": "Wok On Fire, Pellston(Michigan)", "attraction": "Lay Park, Traverse City(Michigan);City Opera House, Traverse City(Michigan);", "lunch": "Cafe Shloka, Traverse City(Michigan)", "dinner": "Al Bake, Traverse City(Michigan)", "accommodation": "Cozy , Cute and Spacious one bedroom Brooklyn Apt, Traverse City(Michigan)"}, {"days": 4, "current_city": "Traverse City(Michigan)", "transportation": "-", "breakfast": "French Toast, Traverse City(Michigan)", "attraction": "Gens Park, Traverse City(Michigan);Discovery Pier, Traverse City(Michigan);", "lunch": "Famous Dave's, Traverse City(Michigan)", "dinner": "Arigato Sushi, Traverse City(Michigan)", "accommodation": "Cozy , Cute and Spacious one bedroom Brooklyn Apt, Traverse City(Michigan)"}, {"days": 5, "current_city": "from Traverse City(Michigan) to Alpena(Michigan)", "transportation": "Self-driving, from Traverse City(Michigan) to Alpena(Michigan), duration: 2 hours 28 mins, distance: 204 km, cost: 10", "breakfast": "Tasty Bites, Traverse City(Michigan)", "attraction": "Rotary Island Mill Park, Alpena(Michigan);Culligan Plaza, Alpena(Michigan);", "lunch": "Wrapss, Alpena(Michigan)", "dinner": "The Food Express, Alpena(Michigan)", "accommodation": "Ultimate 50th Floor Downtown Penthouse  - 4000SqFt, Alpena(Michigan)"}, {"days": 6, "current_city": "Alpena(Michigan)", "transportation": "-", "breakfast": "Chennai Dosa Express, Alpena(Michigan)", "attraction": "McRae Park, Alpena(Michigan);", "lunch": "@Mango, Alpena(Michigan)", "dinner": "Breaktym, Alpena(Michigan)", "accommodation": "Ultimate 50th Floor Downtown Penthouse  - 4000SqFt, Alpena(Michigan)"}, {"days": 7, "current_city": "from Alpena(Michigan) to Sault Ste. Marie", "transportation": "Self-driving, from Alpena(Michigan) to Sault Ste. Marie, duration: 2 hours 39 mins, distance: 247 km, cost: 12", "breakfast": "Shashi's China Wok, Alpena(Michigan)", "attraction": "Maritime Heritage Trail, Alpena(Michigan);", "lunch": "DudeFood, Alpena(Michigan)", "dinner": "-", "accommodation": "-"}]]

plan/plan_28.json

@@ -0,0 +1 @@
+[{"org": "St. Louis", "dest": "California", "days": 7, "visiting_city_number": 3, "date": ["2022-03-17", "2022-03-18", "2022-03-19", "2022-03-20", "2022-03-21", "2022-03-22", "2022-03-23"], "people_number": 2, "local_constraint": {"house rule": null, "cuisine": ["American", "Chinese"], "room type": null, "transportation": null}, "budget": 9500, "query": "I need help crafting a 7-day travel plan for two individuals, departing from St. Louis and intending to visit 3 separate cities in California. The travel dates are from March 17th to March 23rd, 2022. We have a budget of $9,500 to cover all expenses. As for dining preferences, we are particularly fond of American and Chinese cuisines.", "level": "middle"}, [{"days": 1, "current_city": "from St. Louis to San Diego(California)", "transportation": "Flight Number: F4025732, from St. Louis to San Diego(California), Departure Time: 16:42, Arrival Time: 18:31", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Burgrill, San Diego(California)", "accommodation": "Spacious Room in Large 2 Bedroom Prewar Apartment, San Diego(California)"}, {"days": 2, "current_city": "San Diego(California)", "transportation": "-", "breakfast": "Jetha Lal Ka Dhabha, San Diego(California)", "attraction": "La Jolla Shores Park, San Diego(California);Skytower, San Diego(California);", "lunch": "Gopala, San Diego(California)", "dinner": "Open Yard, San Diego(California)", "accommodation": "Spacious Room in Large 2 Bedroom Prewar Apartment, San Diego(California)"}, {"days": 3, "current_city": "from San Diego(California) to San Francisco(California)", "transportation": "Flight Number: F3746772, from San Diego(California) to San Francisco(California), Departure Time: 08:09, Arrival Time: 09:43", "breakfast": "-", "attraction": "Golden Gate Park, San Francisco(California);Golden Gate Bridge, San Francisco(California);", "lunch": "Bonne Bouche, San Francisco(California)", "dinner": "Cafe All-Inn, San Francisco(California)", "accommodation": "Cozy room, easy trip to Manhattan & North Brooklyn, San Francisco(California)"}, {"days": 4, "current_city": "San Francisco(California)", "transportation": "-", "breakfast": "Coffee & Chai Co., San Francisco(California)", "attraction": "California Academy of Sciences, San Francisco(California);San Francisco Museum of Modern Art, San Francisco(California);", "lunch": "Sudarshan, San Francisco(California)", "dinner": "Moets Oh! Bao, San Francisco(California)", "accommodation": "Cozy room, easy trip to Manhattan & North Brooklyn, San Francisco(California)"}, {"days": 5, "current_city": "from San Francisco(California) to Long Beach(California)", "transportation": "Taxi, from San Francisco(California) to Long Beach(California), duration: 6 hours 15 mins, distance: 652 km, cost: 652", "breakfast": "Gupta's Rasoi, San Francisco(California)", "attraction": "The Queen Mary, Long Beach(California);", "lunch": "-", "dinner": "Tsing Tsao South, Long Beach(California)", "accommodation": "Cozy Two Bedrooms Home Away From Home  Getaway., Long Beach(California)"}, {"days": 6, "current_city": "Long Beach(California)", "transportation": "-", "breakfast": "Winifreds, Long Beach(California)", "attraction": "Aquarium of the Pacific, Long Beach(California);Rainbow Lagoon Park, Long Beach(California);", "lunch": "Greek Village, Long Beach(California)", "dinner": "Giuseppe's Pizza & Italian Specialities, Long Beach(California)", "accommodation": "Cozy Two Bedrooms Home Away From Home  Getaway., Long Beach(California)"}, {"days": 7, "current_city": "from Long Beach(California) to St. Louis", "transportation": "Flight Number: F3986547, from Long Beach(California) to St. Louis, Departure Time: 07:04, Arrival Time: 12:37", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}]]

plan/plan_29.json

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+[{"org": "Louisville", "dest": "Michigan", "days": 7, "visiting_city_number": 3, "date": ["2022-03-08", "2022-03-09", "2022-03-10", "2022-03-11", "2022-03-12", "2022-03-13", "2022-03-14"], "people_number": 4, "local_constraint": {"house rule": null, "cuisine": null, "room type": "private room", "transportation": null}, "budget": 19400, "query": "We're organizing a week-long trip for 4 people, starting in Louisville and stopping in three different cities in Michigan. The trip will begin on March 8th and conclude on March 14th, 2022. Our budget is now $19,400, and we require private rooms for accommodations.", "level": "middle"}, [{"days": 1, "current_city": "from Louisville to Pellston(Michigan)", "transportation": "Self-driving, from Louisville to Pellston(Michigan), duration: 8 hours 24 mins, distance: 939 km, cost: 46", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Johnnie Mars, Pellston(Michigan)", "accommodation": "City Living with a Home Town Feel., Pellston(Michigan)"}, {"days": 2, "current_city": "Pellston(Michigan)", "transportation": "-", "breakfast": "The Great Kabab Factory - Park Plaza, Pellston(Michigan)", "attraction": "Castle Rock, Pellston(Michigan);Burt Lake State Park, Pellston(Michigan);", "lunch": "The Plaza Solitaire, Pellston(Michigan)", "dinner": "Premier Bite, Pellston(Michigan)", "accommodation": "City Living with a Home Town Feel., Pellston(Michigan)"}, {"days": 3, "current_city": "from Pellston(Michigan) to Kalamazoo(Michigan)", "transportation": "Self-driving, from Pellston(Michigan) to Kalamazoo(Michigan), duration: 4 hours 4 mins, distance: 407 km, cost: 20", "breakfast": "Behrouz Biryani, Pellston(Michigan)", "attraction": "Air Zoo Aerospace & Science Museum, Kalamazoo(Michigan);", "lunch": "Django, Kalamazoo(Michigan)", "dinner": "Giulios Greek & Italian Restaurant, Kalamazoo(Michigan)", "accommodation": "Pvt Room for Two Near JFK 6 mi/ LGA 10 mi- Olive, Kalamazoo(Michigan)"}, {"days": 4, "current_city": "Kalamazoo(Michigan)", "transportation": "-", "breakfast": "Crispers, Kalamazoo(Michigan)", "attraction": "Christmas Card Lane, Kalamazoo(Michigan);Urban Nature Park - Kalamazoo Nature Center, Kalamazoo(Michigan);", "lunch": "Juice Lounge, Kalamazoo(Michigan)", "dinner": "Cafe Lounge, Kalamazoo(Michigan)", "accommodation": "Pvt Room for Two Near JFK 6 mi/ LGA 10 mi- Olive, Kalamazoo(Michigan)"}, {"days": 5, "current_city": "from Kalamazoo(Michigan) to Detroit(Michigan)", "transportation": "Self-driving, from Kalamazoo(Michigan) to Detroit(Michigan), duration: 2 hours 11 mins, distance: 225 km, cost: 11", "breakfast": "Giani's, Kalamazoo(Michigan)", "attraction": "GMRenCen, Detroit(Michigan);", "lunch": "Southern Bliss Bakery, Detroit(Michigan)", "dinner": "A Dong Restaurant, Detroit(Michigan)", "accommodation": "Nice Room in Manhattan, Detroit(Michigan)"}, {"days": 6, "current_city": "Detroit(Michigan)", "transportation": "-", "breakfast": "Cafe 6, Detroit(Michigan)", "attraction": "Beacon Park, Detroit(Michigan);Henry Ford Museum of American Innovation, Detroit(Michigan);", "lunch": "Aapki Rasoi, Detroit(Michigan)", "dinner": "N. Iqbal Restaurant, Detroit(Michigan)", "accommodation": "Nice Room in Manhattan, Detroit(Michigan)"}, {"days": 7, "current_city": "from Detroit(Michigan) to Louisville", "transportation": "Self-driving, from Detroit(Michigan) to Louisville, duration: 5 hours 24 mins, distance: 582 km, cost: 29", "breakfast": "Flavours of Punjab, Detroit(Michigan)", "attraction": "-", "lunch": "DV's Chinese Kitchen, Detroit(Michigan)", "dinner": "52 Food Express, Detroit(Michigan)", "accommodation": "-"}]]

plan/plan_3.json

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+[{"org": "Las Vegas", "dest": "Stockton", "days": 3, "visiting_city_number": 1, "date": ["2022-03-03", "2022-03-04", "2022-03-05"], "people_number": 1, "local_constraint": {"house rule": null, "cuisine": null, "room type": null, "transportation": null}, "budget": 1400, "query": "Please design a travel plan departing from Las Vegas and heading to Stockton for 3 days, from March 3rd to March 5th, 2022, for one person, with a budget of $1,400.", "level": "easy"}, [{"days": 1, "current_city": "from Las Vegas to Stockton", "transportation": "Flight Number: F3576711, from Las Vegas to Stockton, Departure Time: 06:01, Arrival Time: 07:28", "breakfast": "Biaggi's Ristorante Italiano, Stockton", "attraction": "Louis Park, Stockton;Buckley Cove Park, Stockton;", "lunch": "Twin Brothers, Stockton", "dinner": "Muffins, Stockton", "accommodation": "Private Apt 2BR/1Bath/Kitchen/Parking in OUR HOME, Stockton"}, {"days": 2, "current_city": "Stockton", "transportation": "-", "breakfast": "The Blue Tandoor, Stockton", "attraction": "Shumway Oak Grove Regional Park, Stockton;Mexican Heritage Center & Gallery, Stockton;", "lunch": "Nand Bhai Chholey Bhature, Stockton", "dinner": "Wok On Fire, Stockton", "accommodation": "Private Apt 2BR/1Bath/Kitchen/Parking in OUR HOME, Stockton"}, {"days": 3, "current_city": "from Stockton to Las Vegas", "transportation": "Flight Number: F3576850, from Stockton to Las Vegas, Departure Time: 13:42, Arrival Time: 15:03", "breakfast": "Dimsum & Co., Stockton", "attraction": "Wat Dhammararam Buddhist Temple, Stockton;", "lunch": "High Street Kitchen & Bar, Stockton", "dinner": "-", "accommodation": "-"}, {}, {}, {}, {}]]

plan/plan_30.json

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+[{"org": "Oakland", "dest": "Oregon", "days": 7, "visiting_city_number": 3, "date": ["2022-03-12", "2022-03-13", "2022-03-14", "2022-03-15", "2022-03-16", "2022-03-17", "2022-03-18"], "people_number": 2, "local_constraint": {"house rule": null, "cuisine": ["Italian", "Mediterranean"], "room type": null, "transportation": null}, "budget": 4500, "query": "Could you help craft a week-long travel plan for 2 people? We'll be departing from Oakland and aim to visit 3 different cities in Oregon from March 12th to March 18th, 2022, with a total budget of $4,500. As for meals, we have a preference for Italian and Mediterranean cuisines.", "level": "middle"}, [{"days": 1, "current_city": "from Oakland to Portland(Oregon)", "transportation": "Self-driving, from Oakland to Portland(Oregon), duration: 9 hours 38 mins, distance: 1,012 km, cost: 50", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Nacho Mamas Burritos, Portland(Oregon)", "accommodation": "I promise you ,you'll never  want to leave!, Portland(Oregon)"}, {"days": 2, "current_city": "Portland(Oregon)", "transportation": "-", "breakfast": "Mighty Mughlai, Portland(Oregon)", "attraction": "Washington Park, Portland(Oregon);Pittock Mansion, Portland(Oregon);", "lunch": "The Kitchen Factory, Portland(Oregon)", "dinner": "Public Cafe, Portland(Oregon)", "accommodation": "I promise you ,you'll never  want to leave!, Portland(Oregon)"}, {"days": 3, "current_city": "from Portland(Oregon) to Medford(Oregon)", "transportation": "Self-driving, from Portland(Oregon) to Medford(Oregon), duration: 4 hours 16 mins, distance: 439 km, cost: 21", "breakfast": "Haldiram's, Portland(Oregon)", "attraction": "Liberty Park, Medford(Oregon);Alba Park, Medford(Oregon);Lewis Park, Medford(Oregon);", "lunch": "The Midnight Heroes, Medford(Oregon)", "dinner": "Orange Peel by Rasleen Kochhar, Medford(Oregon)", "accommodation": "The Fountain House, Medford(Oregon)"}, {"days": 4, "current_city": "Medford(Oregon)", "transportation": "-", "breakfast": "New South Indian Hut, Medford(Oregon)", "attraction": "Hawthorne Park Playground, Medford(Oregon);Bear Creek Park, Medford(Oregon);", "lunch": "Bun Intended, Medford(Oregon)", "dinner": "Food Villa, Medford(Oregon)", "accommodation": "The Fountain House, Medford(Oregon)"}, {"days": 5, "current_city": "from Medford(Oregon) to Eugene(Oregon)", "transportation": "Self-driving, from Medford(Oregon) to Eugene(Oregon), duration: 2 hours 39 mins, distance: 268 km, cost: 13", "breakfast": "Exotica, Medford(Oregon)", "attraction": "Eugene Science Center, Eugene(Oregon);", "lunch": "Boozer's, Eugene(Oregon)", "dinner": "Upper Crust, Eugene(Oregon)", "accommodation": "Demmy's space, Eugene(Oregon)"}, {"days": 6, "current_city": "Eugene(Oregon)", "transportation": "-", "breakfast": "Nazeer Foods, Eugene(Oregon)", "attraction": "Skyview City Park, Eugene(Oregon);Delta Ponds, Eugene(Oregon);", "lunch": "Rashi's De La Creme, Eugene(Oregon)", "dinner": "Tea Lounge - Eros Hotel, Eugene(Oregon)", "accommodation": "Demmy's space, Eugene(Oregon)"}, {"days": 7, "current_city": "from Eugene(Oregon) to Oakland", "transportation": "Self-driving, from Eugene(Oregon) to Oakland, duration: 8 hours 2 mins, distance: 843 km, cost: 42", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}]]

plan/plan_31.json

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+[{"org": "Houston", "dest": "Fayetteville", "days": 3, "visiting_city_number": 1, "date": ["2022-03-20", "2022-03-21", "2022-03-22"], "people_number": 2, "local_constraint": {"house rule": "children under 10", "cuisine": ["American", "Mediterranean", "French", "Chinese"], "room type": null, "transportation": "no self-driving"}, "budget": 1500, "query": "Could you devise a 3-day travel plan for 2 people departing Houston and heading to Fayetteville from March 20th to March 22nd, 2022, with a budget of $1,500? It is vital that our accommodations allow children under the age of 10 as we will be traveling with kids. We prefer non-self-driving transportation and expect to experience a blend of American, Mediterranean, French, and Chinese cuisines during our stay.", "level": "hard"}, [{"days": 1, "current_city": "from Houston to Fayetteville", "transportation": "Flight Number: F3923211, from Houston to Fayetteville, Departure Time: 14:30, Arrival Time: 16:17", "breakfast": "-", "attraction": "Fascinate-U Children's Museum, Fayetteville;", "lunch": "-", "dinner": "Chatorey Chacha, Fayetteville", "accommodation": "Modern 4story building w/private bathroom elavator, Fayetteville"}, {"days": 2, "current_city": "Fayetteville", "transportation": "-", "breakfast": "The Great Kabab Factory, Fayetteville", "attraction": "1897 Poe House, Fayetteville;Fayetteville Rose Garden, Fayetteville;", "lunch": "Smoke N Oven, Fayetteville", "dinner": "Noshi - Yum Asian Delivery, Fayetteville", "accommodation": "Modern 4story building w/private bathroom elavator, Fayetteville"}, {"days": 3, "current_city": "from Fayetteville to Houston", "transportation": "Flight Number: F3922249, from Fayetteville to Houston, Departure Time: 19:18, Arrival Time: 20:52", "breakfast": "Andaaz E Paranthas, Fayetteville", "attraction": "ZipQuest - Waterfall & Treetop Adventure, Fayetteville;", "lunch": "The Saffron Plant Restaurant, Fayetteville", "dinner": "Subway, Fayetteville", "accommodation": "-"}, {}, {}, {}, {}]]

plan/plan_32.json

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+[{"org": "Bangor", "dest": "Washington", "days": 3, "visiting_city_number": 1, "date": ["2022-03-21", "2022-03-22", "2022-03-23"], "people_number": 3, "local_constraint": {"house rule": "pets", "cuisine": null, "room type": "entire room", "transportation": "no self-driving"}, "budget": 3100, "query": "Could you generate a 3-day travel plan for a group of 3 people, departing from Bangor and visiting Washington from March 21st to March 23rd, 2022? Our budget is set at $3,100. We require accommodations that are pet-friendly and we would prefer to have entire rooms to ourselves. We do not plan on self-driving for this trip.", "level": "hard"}, [{"days": 1, "current_city": "from Bangor to Washington", "transportation": "Flight Number: F3785531, from Bangor to Washington, Departure Time: 17:59, Arrival Time: 19:44", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Los Aztecas, Washington", "accommodation": "Comfortable & Cozy Times Square Apt, Washington"}, {"days": 2, "current_city": "Washington", "transportation": "-", "breakfast": "Manna Java World Cafe, Washington", "attraction": "Seattle Aquarium, Washington;Beneath the Streets, Washington;", "lunch": "Hemingway's Island Grill, Washington", "dinner": "Thaaliwala, Washington", "accommodation": "Comfortable & Cozy Times Square Apt, Washington"}, {"days": 3, "current_city": "from Washington to Bangor", "transportation": "Flight Number: F3797033, from Washington to Bangor, Departure Time: 21:54, Arrival Time: 23:30", "breakfast": "Moradabadi Biryani, Washington", "attraction": "Space Needle, Washington;", "lunch": "Biryani Point, Washington", "dinner": "Domino's Pizza, Washington", "accommodation": "-"}, {}, {}, {}, {}]]

plan/plan_33.json

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+[{"org": "Grand Forks", "dest": "Minneapolis", "days": 3, "visiting_city_number": 1, "date": ["2022-03-17", "2022-03-18", "2022-03-19"], "people_number": 2, "local_constraint": {"house rule": "parties", "cuisine": null, "room type": "entire room", "transportation": "no flight"}, "budget": 1300, "query": "Could you help arrange a 3-day travel plan from Grand Forks to Minneapolis for 2 people from March 17th to March 19th, 2022? We have a budget of $1,300. For our stay, we require accommodations that are conducive to hosting parties and should ideally be entire rooms. We would prefer a journey that does not involve flying.", "level": "hard"}, [{"days": 1, "current_city": "from Grand Forks to Minneapolis", "transportation": "Self-driving, from Grand Forks to Minneapolis, duration: 4 hours 36 mins, distance: 507 km, cost: 25", "breakfast": "-", "attraction": "Minnehaha Regional Park, Minneapolis;Minneapolis Lookout, Minneapolis;", "lunch": "Raja Rasoi, Minneapolis", "dinner": "Al Saad Foods, Minneapolis", "accommodation": "Light-filled Apartment in great area, close 2 all!, Minneapolis"}, {"days": 2, "current_city": "Minneapolis", "transportation": "-", "breakfast": "The Cafe, Minneapolis", "attraction": "American Swedish Institute, Minneapolis;Stepped Tower, Minneapolis;", "lunch": "Texas Roadhouse, Minneapolis", "dinner": "Court Avenue Brewing Company, Minneapolis", "accommodation": "Light-filled Apartment in great area, close 2 all!, Minneapolis"}, {"days": 3, "current_city": "from Minneapolis to Grand Forks", "transportation": "Self-driving, from Minneapolis to Grand Forks, duration: 4 hours 36 mins, distance: 507 km, cost: 25", "breakfast": "Giani, Minneapolis", "attraction": "Boom Island Lighthouse, Minneapolis;", "lunch": "Cheffron Bakery, Minneapolis", "dinner": "Surprise - Bakers & Bites, Minneapolis", "accommodation": "-"}, {}, {}, {}, {}]]

plan/plan_34.json

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+[{"org": "Provo", "dest": "Phoenix", "days": 3, "visiting_city_number": 1, "date": ["2022-03-24", "2022-03-25", "2022-03-26"], "people_number": 2, "local_constraint": {"house rule": "pets", "cuisine": ["Indian", "American", "French", "Italian"], "room type": "private room", "transportation": null}, "budget": 1400, "query": "Could you create a travel plan starting from Provo to Phoenix for 2 people, from March 24th to March 26th, 2022? Our budget is set at $1,400. We'll be bringing our pets along, so accommodations with pet-friendly house rules would be preferred. We intend to stay in private rooms. In terms of food, we'd like to have a variety of cuisines, including Indian, American, French, and Italian.", "level": "hard"}, [{"days": 1, "current_city": "from Provo to Phoenix", "transportation": "Self-driving, from Provo to Phoenix, duration: 9 hours 40 mins, distance: 997 km, cost: 49", "breakfast": "-", "attraction": "-", "lunch": "-", "dinner": "Vero Gusto, Phoenix", "accommodation": "Lower East Side Oasis  (private room), Phoenix"}, {"days": 2, "current_city": "Phoenix", "transportation": "-", "breakfast": "Cafe Amigo, Phoenix", "attraction": "Phoenix Art Museum, Phoenix;Enchanted Island Amusement Park, Phoenix;Hole in the Rock, Phoenix;", "lunch": "De Bone Chicken, Phoenix", "dinner": "Doughlicious, Phoenix", "accommodation": "Lower East Side Oasis  (private room), Phoenix"}, {"days": 3, "current_city": "from Phoenix to Provo", "transportation": "Self-driving, from Phoenix to Provo, duration: 9 hours 32 mins, distance: 996 km, cost: 49", "breakfast": "Rupa Bangali Dhaba, Phoenix", "attraction": "-", "lunch": "-", "dinner": "-", "accommodation": "-"}, {}, {}, {}, {}]]