Previous action: None
Action history: 
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: Since the previous action is None, the next step is to click on the Search button to initiate the task of finding the list of data scientists working in Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Search [0.011,0.24,0.149,0.277] button</output>
assistant
Previous action: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: We need to click on the More Filters button to further refine the search and add the criteria for at least 2 years of experience. This will help us narrow down the results to get the list of 50 data scientists meeting the specified requirements.</cot>
<output>CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button</output>
assistant
Previous action: CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: Since we have already clicked on the More Filters button, the next action is to type job titles in the Search filters tab to specify the search for data scientists with at least 2 years of experience at Netflix.</cot>
<output>TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab</output>
assistant
Previous action: TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After typing the job titles in the search filters, the next step is to click on the job titles button to filter the search results according to the specified criteria.</cot>
<output>CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button</output>
assistant
Previous action: CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: Since the previous actions involved clicking on the Job Titles button and performing search and filter tasks, the next action should be to click on the Search for a job title tab to continue with the task of finding data scientists at Netflix.</cot>
<output>CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab</output>
assistant
Previous action: CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: The next action is to type "data scientist" in the Search for a job title tab to specify the job title and continue filtering the search for 50 data scientists at Netflix with at least 2 years of experience.</cot>
<output>TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab</output>
assistant
Previous action: TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: Since the previous actions have been focused on filtering job titles, the next step is to click on the Search filters tab to continue narrowing down the search for data scientists at Netflix.</cot>
<output>CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab</output>
assistant
Previous action: CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: We need to type the company name in the Search filters tab to narrow down the search results specifically to Netflix, as per the previous actions of setting job titles and filters.</cot>
<output>TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab</output>
assistant
Previous action: TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After entering "Netflix" as the company in the Search filters, the next action is to click on the Company button to filter the search results specifically for data scientists working at Netflix.</cot>
<output>CLICK: Click on the Company [0.186,0.565,0.389,0.62] button</output>
assistant
Previous action: CLICK: Click on the Company [0.186,0.565,0.389,0.62] button
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: The next action is to click on the "Enter companies" tab to specify the company name "Netflix," as we have already filtered the job titles and now need to further narrow down the search by specifying the company name.</cot>
<output>CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab</output>
assistant
Previous action: CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: The next action is to type "Netflix" in the Enter companies tab to filter the search results for data scientists working at Netflix. This will help in narrowing down the list to include only those working at Netflix.</cot>
<output>TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab</output>
assistant
Previous action: TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After entering "Netflix" in the Enter companies tab, the next action is to click on the Search filters tab to further refine the search for data scientists with at least 2 years of experience at Netflix.</cot>
<output>CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab</output>
assistant
Previous action: CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: The next action is to type the total years of experience in the search filters tab as we need to filter the results for data scientists with at least 2 years of experience at Netflix. This action will refine the search results according to the specified criteria.</cot>
<output>TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab</output>
assistant
Previous action: TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: The next action is to click on the Total Years of Experience button because we have already typed the total years of experience in the search filters tab and now need to apply this filter to the search results.</cot>
<output>CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button</output>
assistant
Previous action: CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After selecting the Total Years of Experience, the next step is to click on the Min year tab to specify the minimum required experience for data scientists at Netflix.</cot>
<output>CLICK: Click on the Min year [0.196,0.531,0.281,0.573] tab</output>
assistant
Previous action: CLICK: Click on the Min year [0.196,0.531,0.281,0.573] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button CLICK: Click on the Min year [0.196,0.531,0.281,0.573] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: The next action should be to type "2" in the Min year tab to filter for data scientists with at least 2 years of experience at Netflix, as per the previous actions filtering the search results.</cot>
<output>TYPE: Type 2 in the Min year [0.196,0.538,0.28,0.577] tab</output>
assistant
Previous action: TYPE: Type 2 in the Min year [0.196,0.538,0.28,0.577] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button CLICK: Click on the Min year [0.196,0.531,0.281,0.573] tab TYPE: Type 2 in the Min year [0.196,0.538,0.28,0.577] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: We need to click on the Apply Filters button to filter the search results based on the specified criteria, including at least 2 years of experience and the company Netflix. This action will ensure that the list of 50 data scientists working in Netflix with at least 2 years of experience is accurately generated.</cot>
<output>CLICK: Click on the Apply Filters [0.896,0.43,0.968,0.471] button</output>
assistant
Previous action: CLICK: Click on the Apply Filters [0.896,0.43,0.968,0.471] button
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button CLICK: Click on the Min year [0.196,0.531,0.281,0.573] tab TYPE: Type 2 in the Min year [0.196,0.538,0.28,0.577] tab CLICK: Click on the Apply Filters [0.896,0.43,0.968,0.471] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After applying the filters for job title, company, and years of experience, the next action is to click on the Selection Dropdown icon to choose the data scientists with the specified criteria.</cot>
<output>CLICK: Click on the Selection Dropdown [0.397,0.292,0.425,0.323] icon</output>
assistant
Previous action: CLICK: Click on the Selection Dropdown [0.397,0.292,0.425,0.323] icon
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button CLICK: Click on the Min year [0.196,0.531,0.281,0.573] tab TYPE: Type 2 in the Min year [0.196,0.538,0.28,0.577] tab CLICK: Click on the Apply Filters [0.896,0.43,0.968,0.471] button CLICK: Click on the Selection Dropdown [0.397,0.292,0.425,0.323] icon
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After applying the necessary filters for job title, company, and total years of experience, the next step is to select the number of people to display, which will fulfill the task requirement.</cot>
<output>CLICK: Click on the Select number of people [0.448,0.612,0.503,0.649] tab</output>
assistant
Previous action: CLICK: Click on the Select number of people [0.448,0.612,0.503,0.649] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button CLICK: Click on the Min year [0.196,0.531,0.281,0.573] tab TYPE: Type 2 in the Min year [0.196,0.538,0.28,0.577] tab CLICK: Click on the Apply Filters [0.896,0.43,0.968,0.471] button CLICK: Click on the Selection Dropdown [0.397,0.292,0.425,0.323] icon CLICK: Click on the Select number of people [0.448,0.612,0.503,0.649] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: We need to type "50" in the Select number of people tab to specify the number of data scientists with at least 2 years of experience in Netflix as the next action in the task flow.</cot>
<output>TYPE: Type 50 in the Select number of people [0.448,0.523,0.502,0.561] tab</output>
assistant
Previous action: TYPE: Type 50 in the Select number of people [0.448,0.523,0.502,0.561] tab
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button CLICK: Click on the Min year [0.196,0.531,0.281,0.573] tab TYPE: Type 2 in the Min year [0.196,0.538,0.28,0.577] tab CLICK: Click on the Apply Filters [0.896,0.43,0.968,0.471] button CLICK: Click on the Selection Dropdown [0.397,0.292,0.425,0.323] icon CLICK: Click on the Select number of people [0.448,0.612,0.503,0.649] tab TYPE: Type 50 in the Select number of people [0.448,0.523,0.502,0.561] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After setting the filters for data scientists with at least 2 years of experience at Netflix and specifying the number of people required, the next action is to click on the Apply selection button to generate the list.</cot>
<output>CLICK: Click on the Apply selection [0.315,0.714,0.507,0.756] button</output>
assistant
Previous action: CLICK: Click on the Apply selection [0.315,0.714,0.507,0.756] button
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button CLICK: Click on the Min year [0.196,0.531,0.281,0.573] tab TYPE: Type 2 in the Min year [0.196,0.538,0.28,0.577] tab CLICK: Click on the Apply Filters [0.896,0.43,0.968,0.471] button CLICK: Click on the Selection Dropdown [0.397,0.292,0.425,0.323] icon CLICK: Click on the Select number of people [0.448,0.612,0.503,0.649] tab TYPE: Type 50 in the Select number of people [0.448,0.523,0.502,0.561] tab CLICK: Click on the Apply selection [0.315,0.714,0.507,0.756] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: The next action is to click on the Export icon because all the necessary filters and selections have been applied to generate the list of 50 data scientists with at least 2 years of experience at Netflix. This action will provide the requested information.</cot>
<output>CLICK: Click on the Export [0.64,0.302,0.663,0.344] icon</output>
assistant
Previous action: CLICK: Click on the Export [0.64,0.302,0.663,0.344] icon
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button CLICK: Click on the Min year [0.196,0.531,0.281,0.573] tab TYPE: Type 2 in the Min year [0.196,0.538,0.28,0.577] tab CLICK: Click on the Apply Filters [0.896,0.43,0.968,0.471] button CLICK: Click on the Selection Dropdown [0.397,0.292,0.425,0.323] icon CLICK: Click on the Select number of people [0.448,0.612,0.503,0.649] tab TYPE: Type 50 in the Select number of people [0.448,0.523,0.502,0.561] tab CLICK: Click on the Apply selection [0.315,0.714,0.507,0.756] button CLICK: Click on the Export [0.64,0.302,0.663,0.344] icon
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After applying the necessary filters and selecting the number of people, the next step is to click on the "Export as CSV" button to obtain the list of data scientists working in Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Export as CSV [0.285,0.662,0.678,0.731] button</output>
assistant
Previous action: CLICK: Click on the Export as CSV [0.285,0.662,0.678,0.731] button
Action history: CLICK: Click on the Search [0.011,0.24,0.149,0.277] button CLICK: Click on the More Filters [0.289,0.429,0.374,0.47] button TYPE: Type job titles in the Search filters [0.235,0.351,0.416,0.391] tab CLICK: Click on the Job Titles [0.219,0.5,0.415,0.567] button CLICK: Click on the Search for a job title [0.238,0.623,0.396,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.586,0.369,0.622] tab CLICK: Click on the Search filters [0.271,0.351,0.451,0.392] tab TYPE: Type company in the Search filters [0.314,0.386,0.483,0.432] tab CLICK: Click on the Company [0.186,0.565,0.389,0.62] button CLICK: Click on the Enter companies [0.204,0.589,0.369,0.627] tab TYPE: Type Netflix in the Enter companies [0.252,0.619,0.406,0.657] tab CLICK: Click on the Search filters [0.272,0.366,0.453,0.407] tab TYPE: Type total years of experience in the Search filters [0.272,0.363,0.453,0.402] tab CLICK: Click on the Total Years of Experience [0.184,0.561,0.388,0.617] button CLICK: Click on the Min year [0.196,0.531,0.281,0.573] tab TYPE: Type 2 in the Min year [0.196,0.538,0.28,0.577] tab CLICK: Click on the Apply Filters [0.896,0.43,0.968,0.471] button CLICK: Click on the Selection Dropdown [0.397,0.292,0.425,0.323] icon CLICK: Click on the Select number of people [0.448,0.612,0.503,0.649] tab TYPE: Type 50 in the Select number of people [0.448,0.523,0.502,0.561] tab CLICK: Click on the Apply selection [0.315,0.714,0.507,0.756] button CLICK: Click on the Export [0.64,0.302,0.663,0.344] icon CLICK: Click on the Export as CSV [0.285,0.662,0.678,0.731] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After filtering and exporting the data, the next action is to save the file by clicking on the "Save" button to store the list of data scientists from Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Save [0.674,0.757,0.71,0.794] button</output>
assistant