Lots-of-LoRAs/task1714_convai3_sentence_generation huggingface dataset:
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: What medical services are available in Sonoma County, California? 
Computer: do you need any specific information on health insurance
Output: 


Output: no i want to know what services are provided
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: What are the different types of long term care insurance policies? 
Computer: would you like to buy a book on the best types of best long term insurances and learn more about it
Output: 


Output: no i just want information
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: What are the causes of lipoma tumors in humans? 
Computer: would you like to know more about animals that present lipomas
Output: 


Output: a list of those animals would be great
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: What are the best places to find morel mushrooms growing? 
Computer: are you looking to eat the mushrooms
Output: 


Output: i am looking to eat mushrooms
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: Find biographical information about Ralph Owen Brester. 
Computer: would you like to know the political positions ralph owen brewster held
Output: 


Output: yes please give me a list of the elected offices held by ralph owen brewster
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: I\'m looking for online resources to learn and teach others about diabetes. 
Computer: are you searching for prevention tools
Output: 


Output: no i want the homepage for the american association of diabetes educators please
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: What were the results of the electoral college for the 2008 US presidential race? 
Computer: which party do you want results from
Output: 


Output: are there more than one set of results
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: What different types of electronic skeet shooting games are available? 
Computer: what brand of electronic skeet shoot are you inquiring about
Output: 


Output: i am not sure
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: What is the definition of tangible personal property for tax purposes? 
Computer: would you like to see a list of states which receive tangible personal property tax
Output: 


Output: no please tell me when the tangible personal property tax is due
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: Find information about VLDL or very-low-density lipoprotein, a type of cholesterol. 
Computer: would you like to take a survey on your cholesterol
Output: 


Output: yes
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: What are the causes of lipoma tumors in humans? 
Computer: are you referring to a medical condition for your pet
Output: 


Output: no
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: What campuses are part of the University of North Carolina? 
Computer: do you want to know the location of unc
Output: 


Output: no
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: Find information on nutritional or health benefits of figs. 
Computer: would you like to see a list of different kind of figs with images
Output: 


Output: no i just want recipes that contain figs
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: How do you weather strip automobile windows and doors? 
Computer: would you like to know where to buy weather strips
Output: 


Output: no i want instructions on how to weatherstrip cars
Definition: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the input, then generate a valid prediction of the user's response to the computer's clarifying question. A valid prediction will clarify the user's correct intent in the initial question.

Positive Example 1 -
Input: User: Find information about joints in the human body. 
Computer: what specific joint are you interested in
Output: i am interested in joint pain treatments in general

Positive Example 2 -
Input: User: Looking for locations and dates of rock and gem shows. 
Computer: are you looking for a list of clubs that host rock and gem shows
Output: yes

Negative Example 1 -
Input: User: Find historical information about Madam C. J. Walker. 
Computer: would you like to know about madam cj walkers products
Output: Yes, I want to know about the products.

Negative Example 2 -
Input: User: Find information about the television show. 
Computer: do you want to know who the main actor is in er tv show
Output: show me the homepage of the tennessee titans

Now complete the following example -
Input: User: Find information on obsessive-compulsive disorder. 
Computer: are you looking for a test to check for ocd
Output: 


Output: no i want the symptoms of ocd