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: Find information about events sponsored by AVP, the Association of Volleyball Professionals. 
Computer: would you like information about the alternatives to violence project
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 about Indian tribes that lived in the area that is now Alabama. 
Computer: would you like current events stories about the cherokee tribe
Output: 


Output: no i would like information about tribes that used to live in alabama
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, reviews, and cheat codes for Playstation 2 games. 
Computer: would you like to see a list of new released ps2 games
Output: 


Output: no i want to know where i can buy used playstation 2 games
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 requirements to become a Tennessee Highway Patrol State Trooper? 
Computer: would you like to know how many tickets they right ever year
Output: 


Output: no just take me to their homepage
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 general information about Fickle Creek Farm in North Carolina 
Computer: are you looking for specific information regarding fickle creek farm
Output: 


Output: yes i am looking for its location and directions on how to get there
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 tornadoes, what causes them, and where they occur. 
Computer: are you looking for information on weather
Output: 


Output: no just some pictures and videos
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 the Sun, the star in our Solar System. 
Computer: are you looking for how long it takes light from the sun to get to the earth
Output: 


Output: no i am trying to find the website for the newspaper baltimore sun
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 the office of President of the United States. 
Computer: are you interested in learning about a presidents power
Output: 


Output: no i want to know the mailing address for the us president
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 looking for methods on how to repair leaks in pvc pipe
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 Mitchell College in New London, CT, such as a prospective student might find useful. 
Computer: do you want to know when the next semester starts at mitchell college
Output: 


Output: no i am looking for the admissions info at mitchell college
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 the General Schedule pay tables. 
Computer: would you like to see the base pay scale for 2018
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 about InuYasha, the Japanese comic book and animated cartoon franchise. 
Computer: would you like to see inuyasha manga
Output: 


Output: yes pictures and wall paper sized images
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 likely is a volcanic eruption at Yellowstone National Park, and what would be the effects of such an eruption? 
Computer: would you like to know more about what would occur if the supervolcano underneath yellowstone national park errupted
Output: 


Output: no just need th homepage
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 plate tectonics and the major continental plates. 
Computer: do you also need information about oceanic plates
Output: 


Output: no i want information about tectonic plates
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 the U.S. Customs and Border Patrol along the Texas border with Mexico. 
Computer: are you looking for a specific web page
Output: 


Output: no i just want information on the mission of the us border patrol in texas