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 history is empty and no previous action has been taken, the next action is to initiate the search by clicking the search button to find the list of data scientists working in Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button</output>
assistant
Previous action: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] 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 "More Filters" button to add the criteria for at least 2 years of experience in the search for data scientists in Netflix. This will narrow down the search results to meet the specified requirements.</cot>
<output>CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button</output>
assistant
Previous action: CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] 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 action was to click on the More Filters button, the next step is to type the job titles in the Search filters tab to further refine the search for data scientists with at least 2 years of experience at Netflix.</cot>
<output>TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab</output>
assistant
Previous action: TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] 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 and applying more filters, the next action should be to click on the job titles button to obtain the list of data scientists working at Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button</output>
assistant
Previous action: CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] 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 have been used to navigate through the job search filters and job titles, the next logical step is to click on the "Search for a job title" tab to proceed with the task of finding data scientists working in Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab</output>
assistant
Previous action: CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] 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 as previous actions were to set the search filters and job titles, so now we have to input the specific job title to find the right candidates.</cot>
<output>TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab</output>
assistant
Previous action: TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] 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 Search filters tab to further refine the search for data scientists with at least 2 years of experience. The previous actions have set up the search parameters, and now we need to access the filters to specify the experience requirement.</cot>
<output>CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab</output>
assistant
Previous action: CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab
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 job title filter, we need to type the company name in the search filters to further refine the search and find data scientists working at Netflix.</cot>
<output>TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab</output>
assistant
Previous action: TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] 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 Company button, as we have already filtered job titles and now need to specify the company as Netflix to find the list of data scientists working there.</cot>
<output>CLICK: Click on the Company [0.233,0.146,0.233,0.146] button</output>
assistant
Previous action: CLICK: Click on the Company [0.233,0.146,0.233,0.146] button
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: This action is necessary to enter the names of the companies for which the search is being conducted, following the previous steps taken to filter the search for data scientists at Netflix.</cot>
<output>CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab</output>
assistant
Previous action: CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] 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 specifically for data scientists working at Netflix. This will fulfill the requirement for the list of data scientists at Netflix.</cot>
<output>TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab</output>
assistant
Previous action: TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] 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 Search filters tab to further refine our search criteria and specify the experience level of the data scientists at Netflix.</cot>
<output>CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab</output>
assistant
Previous action: CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] 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 task requires filtering data scientists with at least 2 years of experience, the next action is to type the total years of experience in the search filters tab to fulfill the requirement.</cot>
<output>TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab</output>
assistant
Previous action: TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] 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 in the Search filters tab to filter for data scientists with at least 2 years of experience, as per the task requirements and the previous actions performed.</cot>
<output>CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button</output>
assistant
Previous action: CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After clicking on the Total Years of Experience button, the next action is to click on the Min year tab in order to specify the minimum years of experience for the data scientists working in Netflix.</cot>
<output>CLICK: Click on the Min year [0.247,0.168,0.247,0.168] tab</output>
assistant
Previous action: CLICK: Click on the Min year [0.247,0.168,0.247,0.168] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button CLICK: Click on the Min year [0.247,0.168,0.247,0.168] 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 "2" in the Min year tab to filter the search results for data scientists with at least 2 years of experience at Netflix.</cot>
<output>TYPE: Type 2 in the Min year [0.248,0.186,0.248,0.186] tab</output>
assistant
Previous action: TYPE: Type 2 in the Min year [0.248,0.186,0.248,0.186] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button CLICK: Click on the Min year [0.247,0.168,0.247,0.168] tab TYPE: Type 2 in the Min year [0.248,0.186,0.248,0.186] 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 minimum years of experience to 2, the next step is to apply the filters by clicking on the "Apply Filters" button to get the list of data scientists with at least 2 years of experience at Netflix.</cot>
<output>CLICK: Click on the Apply Filters [1.132,0.927,1.132,0.927] button</output>
assistant
Previous action: CLICK: Click on the Apply Filters [1.132,0.927,1.132,0.927] button
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button CLICK: Click on the Min year [0.247,0.168,0.247,0.168] tab TYPE: Type 2 in the Min year [0.248,0.186,0.248,0.186] tab CLICK: Click on the Apply Filters [1.132,0.927,1.132,0.927] 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 step is to click on the Selection Dropdown icon to choose the list of data scientists with at least 2 years of experience at Netflix.</cot>
<output>CLICK: Click on the Selection Dropdown [0.5,0.401,0.5,0.401] icon</output>
assistant
Previous action: CLICK: Click on the Selection Dropdown [0.5,0.401,0.5,0.401] icon
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button CLICK: Click on the Min year [0.247,0.168,0.247,0.168] tab TYPE: Type 2 in the Min year [0.248,0.186,0.248,0.186] tab CLICK: Click on the Apply Filters [1.132,0.927,1.132,0.927] button CLICK: Click on the Selection Dropdown [0.5,0.401,0.5,0.401] icon
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After filtering the search results for data scientists with at least 2 years of experience at Netflix, the next step is to click on the "Select number of people" tab to specify the number of people to be listed in the results.</cot>
<output>CLICK: Click on the Select number of people [0.563,0.44,0.563,0.44] tab</output>
assistant
Previous action: CLICK: Click on the Select number of people [0.563,0.44,0.563,0.44] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button CLICK: Click on the Min year [0.247,0.168,0.247,0.168] tab TYPE: Type 2 in the Min year [0.248,0.186,0.248,0.186] tab CLICK: Click on the Apply Filters [1.132,0.927,1.132,0.927] button CLICK: Click on the Selection Dropdown [0.5,0.401,0.5,0.401] icon CLICK: Click on the Select number of people [0.563,0.44,0.563,0.44] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: To complete the task of obtaining the list of 50 data scientists working in Netflix with at least 2 years of experience, the next action is to type "50" in the Select number of people tab, as this will specify the quantity of results to be displayed.</cot>
<output>TYPE: Type 50 in the Select number of people [0.564,0.451,0.564,0.451] tab</output>
assistant
Previous action: TYPE: Type 50 in the Select number of people [0.564,0.451,0.564,0.451] tab
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button CLICK: Click on the Min year [0.247,0.168,0.247,0.168] tab TYPE: Type 2 in the Min year [0.248,0.186,0.248,0.186] tab CLICK: Click on the Apply Filters [1.132,0.927,1.132,0.927] button CLICK: Click on the Selection Dropdown [0.5,0.401,0.5,0.401] icon CLICK: Click on the Select number of people [0.563,0.44,0.563,0.44] tab TYPE: Type 50 in the Select number of people [0.564,0.451,0.564,0.451] 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 job titles, company, and years of experience, the next step is to apply the selection in order to get the list of 50 data scientists with at least 2 years of experience working in Netflix.</cot>
<output>CLICK: Click on the Apply selection [0.397,0.334,0.397,0.334] button</output>
assistant
Previous action: CLICK: Click on the Apply selection [0.397,0.334,0.397,0.334] button
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button CLICK: Click on the Min year [0.247,0.168,0.247,0.168] tab TYPE: Type 2 in the Min year [0.248,0.186,0.248,0.186] tab CLICK: Click on the Apply Filters [1.132,0.927,1.132,0.927] button CLICK: Click on the Selection Dropdown [0.5,0.401,0.5,0.401] icon CLICK: Click on the Select number of people [0.563,0.44,0.563,0.44] tab TYPE: Type 50 in the Select number of people [0.564,0.451,0.564,0.451] tab CLICK: Click on the Apply selection [0.397,0.334,0.397,0.334] 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 all the necessary filters and selecting the desired number of people, the next action is to click on the Export icon to obtain the list of 50 data scientists working in Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Export [0.808,0.696,0.808,0.696] icon</output>
assistant
Previous action: CLICK: Click on the Export [0.808,0.696,0.808,0.696] icon
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button CLICK: Click on the Min year [0.247,0.168,0.247,0.168] tab TYPE: Type 2 in the Min year [0.248,0.186,0.248,0.186] tab CLICK: Click on the Apply Filters [1.132,0.927,1.132,0.927] button CLICK: Click on the Selection Dropdown [0.5,0.401,0.5,0.401] icon CLICK: Click on the Select number of people [0.563,0.44,0.563,0.44] tab TYPE: Type 50 in the Select number of people [0.564,0.451,0.564,0.451] tab CLICK: Click on the Apply selection [0.397,0.334,0.397,0.334] button CLICK: Click on the Export [0.808,0.696,0.808,0.696] icon
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After setting all the necessary filters and criteria, the next action is to click on the "Export as CSV" button to generate the list of 50 data scientists working in Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Export as CSV [0.359,0.306,0.359,0.306] button</output>
assistant
Previous action: CLICK: Click on the Export as CSV [0.359,0.306,0.359,0.306] button
Action history: CLICK: Click on the Search [0.011,-0.021,0.011,-0.021] button CLICK: Click on the More Filters [0.363,0.256,0.363,0.256] button TYPE: Type job titles in the Search filters [0.296,0.228,0.296,0.228] tab CLICK: Click on the Job Titles [0.234,0.171,0.234,0.171] button CLICK: Click on the Search for a job title [0.254,0.185,0.254,0.185] tab TYPE: Type data scientist in the Search for a job title [0.258,0.188,0.258,0.188] tab CLICK: Click on the Search filters [0.341,0.257,0.341,0.257] tab TYPE: Type company in the Search filters [0.342,0.271,0.342,0.271] tab CLICK: Click on the Company [0.233,0.146,0.233,0.146] button CLICK: Click on the Enter companies [0.255,0.162,0.255,0.162] tab TYPE: Type Netflix in the Enter companies [0.258,0.196,0.258,0.196] tab CLICK: Click on the Search filters [0.343,0.286,0.343,0.286] tab TYPE: Type total years of experience in the Search filters [0.341,0.271,0.341,0.271] tab CLICK: Click on the Total Years of Experience [0.232,0.15,0.232,0.15] button CLICK: Click on the Min year [0.247,0.168,0.247,0.168] tab TYPE: Type 2 in the Min year [0.248,0.186,0.248,0.186] tab CLICK: Click on the Apply Filters [1.132,0.927,1.132,0.927] button CLICK: Click on the Selection Dropdown [0.5,0.401,0.5,0.401] icon CLICK: Click on the Select number of people [0.563,0.44,0.563,0.44] tab TYPE: Type 50 in the Select number of people [0.564,0.451,0.564,0.451] tab CLICK: Click on the Apply selection [0.397,0.334,0.397,0.334] button CLICK: Click on the Export [0.808,0.696,0.808,0.696] icon CLICK: Click on the Export as CSV [0.359,0.306,0.359,0.306] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After exporting the filtered data as a CSV, the next action is to click on the Save button to save the file in the desired location.</cot>
<output>CLICK: Click on the Save [0.851,0.688,0.851,0.688] button</output>
assistant