Un conjunto de datos que consiste en diálogos entre dos instancias de CHATGPT ( gpt-3.5-turbo ). Los comandos de CLI y las indicaciones de diálogo han sido escritas por GPT-4. El conjunto de datos cubre una amplia gama de contextos (preguntas y respuestas, discusión y razonamiento, diálogos orientados a tareas) y tareas aguas abajo (por ejemplo, reservas de hoteles, asesoramiento médico). Se han generado textos con DataSETGPT y la API de OpenAI como un backend. Costo aproximado para la generación: $ 35.
Los casos de uso pueden incluir:
gpt-3.5-turbo .
Un total de 2361 conversaciones entre dos instancias de ChatGPT con 29796 expresiones.
.gpt4.txt Un comando DataSETGPT se diseñó manualmente para la generación de un conjunto de datos de diálogo orientado a tareas ( tod/hotels.json ). Luego, se solicitó a GPT-4 que produzca comandos similares para la generación de escenarios TOD en otros dominios y que se les ocurriera ideas de dominio por completo. Luego, tuvo la tarea de extender los comandos a otros tipos de conversaciones: razonamiento y lluvia de ideas. Puede encontrar más detalles en los archivos .gpt4.txt de los cuales brainstorming.gpt4.txt . GPT4.txt es el más perspicaz.
| Archivo | Conversaciones | Expresiones |
|---|---|---|
| tech_support.json | 32 | 383 |
| hoteles.json | 400 | 5557 |
| legal_consultation.json | 16 | 194 |
| car_dealership.json | 16 | 288 |
| Travel_agency.json | 16 | 255 |
| home_maintenance.json | 80 | 1073 |
| real_estate.json | 16 | 237 |
| Medical_Pointments.json | 240 | 3131 |
| car_rentals.json | 32 | 520 |
| seguro_consultación.json | 16 | 235 |
| Fitness_personal_training.json | 16 | 233 |
| Flight_bookings.json | 32 | 433 |
| Job_interview.json | 16 | 214 |
| event_tickets.json | 240 | 3974 |
| Restaurants_mixed.json | 45 | 627 |
| restaurantes.json | 200 | 2814 |
| pet_care.json | 48 | 616 |
Un total de 1461 conversaciones con 20784 expresiones en 16 dominios.
Welcome to [hotel|The Cursed Castle] . Esto permite el reconocimiento de entidades y los casos de uso de rastreo estatal.hotels , restaurants , medical_appointments , los dominios event_tickets y home_maintenance especialmente valiosos para trabajar con sistemas de diálogo orientados a tareas aguas abajo, generamos 10 muestras por situación (en comparación con 2 para el resto de los dominios).restaurants_mixed.json describe restaurantes que sirven comida francesa pero tienen nombres italianos y viceversa. {
"sample_id" : 0 ,
"length" : 10 ,
"temperature" : 0.1 ,
"initial_utterance" : " Hello. " ,
"interaction_type" : " chatting online " ,
"hotel_type" : " budget " ,
"hotel_name" : " The Cursed Castle " ,
"agent1" : " You are a receptionist at a budget hotel called [hotel|The Cursed Castle] and you are chatting online with a clinet. Provide assistance and answer to their questions. You must replace any situation-specific details with label and value pairs - for example, [check in|tomorrow], [check out|August 15th], [name|John], [phone|212-456-7890], [rate|...], [total cost|...], etc. When the whole conversation is over end with " Goodbye " . " ,
"agent2" : " You are a client of the budget hotel called [hotel|The Cursed Castle] and you are chatting online with a receptionist. Either try to make a reservation or ask questions related to an existing reservation. You must replace any situation-specific details with label and value pairs - for example, [check in|tomorrow], [check out|August 15th], [name|John], [phone|212-456-7890], [rate|...], [total cost|...], etc. " ,
"utterances" : [
[
" agent1 " ,
" Hello! Welcome to [hotel|The Cursed Castle]. How may I assist you today? "
],
[
" agent2 " ,
" Hi there! I'm interested in making a reservation for a room. Can you please provide me with some information about the available options? "
],
[
" agent1 " ,
" Of course! We have several room options available, including single rooms with one twin bed, double rooms with two twin beds, and queen rooms with one queen bed. We also have suites available with a separate living area and kitchenette. What type of room are you interested in? "
],
[
" agent2 " ,
" I'm interested in a double room with two twin beds. What are the rates for that type of room? "
],
[
" agent1 " ,
" The rate for a double room with two twin beds is [rate|$80] per night. Does that fit within your budget? "
],
[
" agent2 " ,
" Yes, that sounds good. Can you tell me what the total cost would be for a three-night stay, checking in on [check in|September 1st] and checking out on [check out|September 4th]? "
],
[
" agent1 " ,
" Sure thing! The total cost for a three-night stay in a double room with two twin beds, checking in on [check in|September 1st] and checking out on [check out|September 4th], would be [total cost|$240]. Would you like to go ahead and make a reservation? "
],
[
" agent2 " ,
" Yes, please! Can you please reserve the room for me? "
],
[
" agent1 " ,
" Absolutely! Can I please have your name and phone number to put on the reservation? "
],
[
" agent2 " ,
" My name is [name|Sarah] and my phone number is [phone|123-456-7890]. "
],
[
" agent1 " ,
" Thank you, [name|Sarah]. Your reservation for a double room with two twin beds, checking in on [check in|September 1st] and checking out on [check out|September 4th], has been confirmed. Your total cost will be [total cost|$240]. Is there anything else I can assist you with? "
],
[
" agent2 " ,
" No, that's all for now. Thank you for your help! "
],
[
" agent1 " ,
" You're welcome, [name|Sarah]. We look forward to having you stay with us at [hotel|The Cursed Castle]. If you have any further questions or concerns, please don't hesitate to reach out. Have a great day! Goodbye. "
]
]
}Un total de 800 conversaciones con 8001 expresiones en 10 configuraciones:
{
"sample_id" : 19 ,
"length" : 10 ,
"temperature" : 0.95 ,
"initial_utterance" : " I'm ready to take your question. " ,
"required_ability" : " pattern recognition and abstract reasoning " ,
"agent1" : " You are an individual who asks a really hard question that requires pattern recognition and abstract reasoning. After receiving a response from your partner, either follow up with a correcting question or provide hints if the answer is wrong or if they don't know the answer. Keep the conversation engaging and challenging. Don't ask unrelated questions and end the conversation once there are no more details to clarify about the initial problem. When the whole conversation is over end with " Goodbye " . " ,
"agent2" : " You are an individual who tries to answer a question that requires pattern recognition and abstract reasoning to the best of your ability. If you don't know the answer with high confidence, admit it. Respond to follow-up questions or hints provided by your partner. Do not ask questions which are not related to the problem. " ,
"utterances" : [
[
" agent1 " ,
" Great! Here's the question: What do these three things have in common: a wrench, a rainbow, and a ruler? "
],
[
" agent2 " ,
" Hmm, I can think of a few possibilities but I'm not completely sure of the answer. I think one possibility is that all three things have linear shapes. Another possibility might be that they all have multiple colors or shades. Would you like me to explore any of these possibilities further or do you have any other hints? "
],
[
" agent1 " ,
" Good job on your initial thoughts! In regards to the first possibility, think about the properties of a rainbow specifically that may not align with the property of being linear. Do you have any idea how a rainbow is formed? "
],
[
" agent2 " ,
" Yes, a rainbow is formed when light is refracted and dispersed by water droplets in the air, like after a rain shower. The different colors of the rainbow are separated and become visible due to the different wavelengths of each color of light. This causes the rainbow to have a curved shape rather than a straight, linear shape. So, perhaps linear shape is not the common property here. Would you like me to explore the other possibility I mentioned? "
],
[
" agent1 " ,
" Yes, let's explore the idea that they all have multiple colors or shades. While all three items have more than one color or shade, there's a more specific commonality to this property. Do you have any other ideas or observations? "
],
...
]
}Un total de 100 conversaciones con 1011 expresiones discutiendo 25 problemas:
{
"sample_id" : 1 ,
"length" : 10 ,
"temperature" : 0.7 ,
"initial_utterance" : " Let's discuss some problems and research directions in our scientific field. " ,
"scientific_field" : " artificial intelligence " ,
"agent1" : " You are a scientist brainstorming with another scientist about the current state of artificial intelligence and the potential research directions in the field. Engage in a conversation. Follow up on the points of your colleague and discuss them rather than just listing more ideas. Talk concisely with short messages, and do not repeat yourself. When the whole conversation is over end with " Goodbye " . " ,
"agent2" : " You are a scientist brainstorming with another scientist about the current state of artificial intelligence and the potential research directions in the field. Engage in a conversation. Follow up on the points of your colleague and discuss them rather than just listing more ideas. Talk concisely with short messages, and do not repeat yourself. When the whole conversation is over end with " Goodbye " . " ,
"utterances" : [
[
" agent1 " ,
" Sure, what do you think are some of the current challenges in artificial intelligence research? "
],
[
" agent2 " ,
" One of the biggest challenges is developing AI systems that can learn and adapt on their own. Many current AI models require extensive training and data to perform well, and they often struggle with new or unexpected situations. Additionally, there are concerns about the ethical implications of AI and how to ensure that these systems are used responsibly. What are your thoughts on this? "
],
[
" agent1 " ,
" I completely agree. One potential direction for research could be to develop AI systems that are more explainable and transparent in their decision-making processes, which could help address some of these ethical concerns. Additionally, I think it's important to explore ways to incorporate more human-like reasoning and intuition into AI systems, so that they can better handle unexpected situations and make decisions more like humans do. What do you think about these potential research directions? "
],
[
" agent2 " ,
" I think those are both really interesting areas of research. Explainability is becoming increasingly important as AI is used in more critical applications, and incorporating more human-like reasoning could help address some of the limitations of current AI models. Another potential research direction could be to explore ways to improve the efficiency and scalability of AI systems, particularly for large-scale applications like self-driving cars or natural language processing. What are your thoughts on that? "
],
[
" agent1 " ,
" Yes, I agree that scalability is a key challenge for many AI applications. Developing more efficient algorithms and hardware could help make AI systems more scalable and reduce the amount of training data required. Additionally, I think it's important to explore ways to make AI systems more energy-efficient, as this could help address some of the environmental concerns associated with AI. Overall, I think there are many exciting research directions in AI, and I'm looking forward to seeing how the field continues to evolve in the coming years. Goodbye! "
]
]
} @software { Cholakov_The_botbots_dataset_2023 ,
author = { Cholakov, Radostin } ,
doi = { 10.5281/zenodo.7778376 } ,
month = { 3 } ,
title = { {The botbots dataset} } ,
url = { https://github.com/radi-cho/botbots } ,
version = { 0.0.1 } ,
year = { 2023 }
}