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\'m looking for information about and comparisons of GPS receivers. 
Computer: are you looking for any specific device equipped with gps
Output: 


Output: yes car navigation systems
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 hotels near Disneyland in Anaheim, California. 
Computer: would you like to read some reviews
Output: 


Output: yes id like some reviews of disneyland hotels
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 and resources on the Korean language. 
Computer: are you wondering who speaks the korean language
Output: 


Output: no i want to find translation services for the korean language
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 background information about man-made satellites. 
Computer: are you looking for history of the satellite radio systems
Output: 


Output: no i am looking for satellite radio providers
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: are you interested in inuyasha cosplay
Output: 


Output: noam interested in inuyasha anime episodes that i can download
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 does the phrase, \"equal opportunity employer\" mean? 
Computer: are you looking for specific information regarding an equal opportunity employer
Output: 


Output: yes i am looking for how to report a violation of the equal opportunity employer act
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 a list of the full names of US presidents. 
Computer: are you interested in the middle name of the current vice president of the united states
Output: 


Output: no i want the middle name of all the us presidents
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 length of pvc pipe
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 the USS Yorktown, an aircraft carrier that is part of the museum exhibit at the Patriots Point museum in Charleston Harbor, SC. 
Computer: which holiday season are you interested in
Output: 


Output: this is not related to my search
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 tips, resources, supplies for getting organized and reducing clutter. 
Computer: are you looking for specific products related to getting organized
Output: 


Output: no i just want to go to the container stores 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: What is the average annual charitable donation by individuals in the USA? 
Computer: do you want to know which country has paid the highest average charitable donation amount
Output: 


Output: yes i would like to know the average charitable donation
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 Iowa\'s food stamps program. 
Computer: are you interested in the requirements for applying to the program or the poverty level limits
Output: 


Output: i am interested in how to apply for the program
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 for tourists about Dutchess County, NY. 
Computer: what tourist spots are you looking for in dutchess county
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: I\'m looking for various sports scores and information from the ESPN Sports site. 
Computer: do you want information about espn sports personalities
Output: 


Output: no i want the scores for college football and basketball 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: Find kids\' scooters for sale. 
Computer: are you looking to buy a scooter
Output: 


Output: i need the homepage of hoveround scooters