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: I am looking for the history of and a summary of the work performed at the Hawaiian Volcano Observatories. 
Computer: are you looking for activity summeries of the volcanoes that the hawaiian volcano observatories is currently watching
Output: 


Output: yes and the history
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 history of the Culpeper National Cemetery? 
Computer: do you want to know the history of culpeper national cemetery
Output: 


Output: sure can you tell me everything about it
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: Where can I find information about forearm pain? 
Computer: there are some interesting articles on preventing forearm pain are you interested
Output: 


Output: no i want to know about elbow pain
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 various sports scores and information from the ESPN Sports site. 
Computer: are you looking for information on a specific sport
Output: 


Output: yes baseball
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: what does unc mean
Output: 


Output: university of north carolina
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 does a septic system work? 
Computer: are you looking for the cost
Output: 


Output: no am looking a septic system contractor
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 average annual charitable donation by individuals in the USA? 
Computer: do you want to know how much the average charitable donation is
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: Find information about joints in the human body. 
Computer: are you looking for information on the purpose of joints
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: I\'m looking for information on designing a business website and finding hosting for it. 
Computer: how much data do you need stored
Output: 


Output: a lot
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 recipes for rice. 
Computer: do you want to know how rice is grown
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 are the symptoms of a heart attack? 
Computer: do you want to know about the signs based on any specific demographics
Output: 


Output: i dont know
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 movies has Ron Howard directed? 
Computer: are you interested in ron howards personal life
Output: 


Output: yes specifically i would like to know the names of his family members
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 hip fractures in the elderly. 
Computer: are you referring to the injury
Output: 


Output: yes i which to know how many hip fravtures are reported yearly
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 PVC pipes and fittings. 
Computer: are you interested in a certain fitting for a pvc pipe
Output: 


Output: no i just want to know what pvc is
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 kids\' scooters for sale. 
Computer: are you trying to build a scooter
Output: 


Output: no i am not
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 information on Volvo cars and trucks. 
Computer: are you interested in who is the ceo
Output: 


Output: no