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 data scientists with at least 2 years of experience working at Netflix.</cot>
<output>CLICK: Click on the Search [0.011,0.186,0.149,0.226] button</output>
assistant
Previous action: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] 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 our search criteria and find the specific list of data scientists in Netflix with at least 2 years of experience. This allows us to narrow down the search results according to the requirements.</cot>
<output>CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button</output>
assistant
Previous action: CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] 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 type the job titles in the Search filters tab to filter the list of data scientists with at least 2 years of experience, as the previous action was to click on the More Filters button, and the history indicates that the Search and More Filters have been clicked already.</cot>
<output>TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab</output>
assistant
Previous action: TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] 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 search filters and typing the job titles, the next action is to click on the "Job Titles" button to view the list of data scientists with at least 2 years of experience working in Netflix.</cot>
<output>CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button</output>
assistant
Previous action: CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After applying the filters and entering the job titles, the next action is to click on the "Search for a job title" tab to proceed with the search for data scientists at Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab</output>
assistant
Previous action: CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: Since the previous actions have led to filtering for job titles and clicking on the "Search for a job title" tab, the next step is to type "data scientist" in the search field to further refine the search. This will help in finding the list of data scientists working in Netflix with at least 2 years of experience.</cot>
<output>TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab</output>
assistant
Previous action: TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] 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 already filtered the job titles, the next step is to click on the Search filters tab to continue refining the search criteria for data scientists with at least 2 years of experience at Netflix.</cot>
<output>CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab</output>
assistant
Previous action: CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] 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 included filtering the search for job titles and clicking on various filters, the next logical step is to type the company name in the search filters to further refine the search results.</cot>
<output>TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab</output>
assistant
Previous action: TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After typing the company in the search filters, the next action is to click on the Company button to filter the search results specifically for Netflix.</cot>
<output>CLICK: Click on the Company [0.186,0.505,0.389,0.567] button</output>
assistant
Previous action: CLICK: Click on the Company [0.186,0.505,0.389,0.567] button
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] 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 task requires listing data scientists at Netflix, with the previous actions filtering by job title and company, the next step is to click on the "Enter companies" tab to specify Netflix as the company.</cot>
<output>CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab</output>
assistant
Previous action: CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] 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.</cot>
<output>TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab</output>
assistant
Previous action: TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] 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 the company name "Netflix" in the search filters, the next action is to click on the Search filters tab to continue refining the search criteria for data scientists with at least 2 years of experience.</cot>
<output>CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab</output>
assistant
Previous action: CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] 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 to filter the data scientists who have at least 2 years of experience at Netflix. This will help narrow down the search results to meet the specified criteria.</cot>
<output>TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab</output>
assistant
Previous action: TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After specifying the company and job title, the next step would be to click on the "Total Years of Experience" button to filter the data scientists with at least 2 years of experience.</cot>
<output>CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] button</output>
assistant
Previous action: CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] button
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] 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 Min year tab to set the minimum years of experience filter, as the previous action history shows that the user has selected the Total Years of Experience button.</cot>
<output>CLICK: Click on the Min year [0.196,0.572,0.281,0.617] tab</output>
assistant
Previous action: CLICK: Click on the Min year [0.196,0.572,0.281,0.617] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] button CLICK: Click on the Min year [0.196,0.572,0.281,0.617] 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 "2" in the Minimum years tab to specify the minimum experience requirement for the data scientist positions at Netflix, as per the given criteria.</cot>
<output>TYPE: Type 2 in the Min year [0.196,0.572,0.28,0.614] tab</output>
assistant
Previous action: TYPE: Type 2 in the Min year [0.196,0.572,0.28,0.614] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] button CLICK: Click on the Min year [0.196,0.572,0.281,0.617] tab TYPE: Type 2 in the Min year [0.196,0.572,0.28,0.614] 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 2 years of experience in the search filter, the next action is to click on "Apply Filters" to get the list of 50 data scientists working in Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Apply Filters [0.896,0.39,0.968,0.433] button</output>
assistant
Previous action: CLICK: Click on the Apply Filters [0.896,0.39,0.968,0.433] button
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] button CLICK: Click on the Min year [0.196,0.572,0.281,0.617] tab TYPE: Type 2 in the Min year [0.196,0.572,0.28,0.614] tab CLICK: Click on the Apply Filters [0.896,0.39,0.968,0.433] 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 titles, company, and experience, the next action is to click on the Selection Dropdown icon to choose the appropriate criteria for listing data scientists with at least 2 years of experience at Netflix.</cot>
<output>CLICK: Click on the Selection Dropdown [0.397,0.324,0.425,0.358] icon</output>
assistant
Previous action: CLICK: Click on the Selection Dropdown [0.397,0.324,0.425,0.358] icon
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] button CLICK: Click on the Min year [0.196,0.572,0.281,0.617] tab TYPE: Type 2 in the Min year [0.196,0.572,0.28,0.614] tab CLICK: Click on the Apply Filters [0.896,0.39,0.968,0.433] button CLICK: Click on the Selection Dropdown [0.397,0.324,0.425,0.358] icon
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: To select the number of people, we need to click on the Select number of people tab after applying all the necessary filters for job title, company, and years of experience.</cot>
<output>CLICK: Click on the Select number of people [0.448,0.557,0.503,0.6] tab</output>
assistant
Previous action: CLICK: Click on the Select number of people [0.448,0.557,0.503,0.6] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] button CLICK: Click on the Min year [0.196,0.572,0.281,0.617] tab TYPE: Type 2 in the Min year [0.196,0.572,0.28,0.614] tab CLICK: Click on the Apply Filters [0.896,0.39,0.968,0.433] button CLICK: Click on the Selection Dropdown [0.397,0.324,0.425,0.358] icon CLICK: Click on the Select number of people [0.448,0.557,0.503,0.6] 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 "50" in the Select number of people tab to specify the quantity of data scientists with the required experience level from Netflix. This completes the task of filtering the list according to the given criteria.</cot>
<output>TYPE: Type 50 in the Select number of people [0.448,0.556,0.502,0.597] tab</output>
assistant
Previous action: TYPE: Type 50 in the Select number of people [0.448,0.556,0.502,0.597] tab
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] button CLICK: Click on the Min year [0.196,0.572,0.281,0.617] tab TYPE: Type 2 in the Min year [0.196,0.572,0.28,0.614] tab CLICK: Click on the Apply Filters [0.896,0.39,0.968,0.433] button CLICK: Click on the Selection Dropdown [0.397,0.324,0.425,0.358] icon CLICK: Click on the Select number of people [0.448,0.557,0.503,0.6] tab TYPE: Type 50 in the Select number of people [0.448,0.556,0.502,0.597] 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 necessary filters and selecting the number of people, the next action is to click on the "Apply selection" button to obtain the list of 50 data scientists working in Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Apply selection [0.315,0.674,0.507,0.722] button</output>
assistant
Previous action: CLICK: Click on the Apply selection [0.315,0.674,0.507,0.722] button
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] button CLICK: Click on the Min year [0.196,0.572,0.281,0.617] tab TYPE: Type 2 in the Min year [0.196,0.572,0.28,0.614] tab CLICK: Click on the Apply Filters [0.896,0.39,0.968,0.433] button CLICK: Click on the Selection Dropdown [0.397,0.324,0.425,0.358] icon CLICK: Click on the Select number of people [0.448,0.557,0.503,0.6] tab TYPE: Type 50 in the Select number of people [0.448,0.556,0.502,0.597] tab CLICK: Click on the Apply selection [0.315,0.674,0.507,0.722] 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 to retrieve the list of 50 data scientists with at least 2 years of experience working in Netflix, as all the necessary filters and selections have been applied, and the final step is to export the list.</cot>
<output>CLICK: Click on the Export [0.64,0.321,0.663,0.366] icon</output>
assistant
Previous action: CLICK: Click on the Export [0.64,0.321,0.663,0.366] icon
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] button CLICK: Click on the Min year [0.196,0.572,0.281,0.617] tab TYPE: Type 2 in the Min year [0.196,0.572,0.28,0.614] tab CLICK: Click on the Apply Filters [0.896,0.39,0.968,0.433] button CLICK: Click on the Selection Dropdown [0.397,0.324,0.425,0.358] icon CLICK: Click on the Select number of people [0.448,0.557,0.503,0.6] tab TYPE: Type 50 in the Select number of people [0.448,0.556,0.502,0.597] tab CLICK: Click on the Apply selection [0.315,0.674,0.507,0.722] button CLICK: Click on the Export [0.64,0.321,0.663,0.366] 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, selecting the number of people and initiating the export process, the next action is to click on the "Export as CSV" button 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 as CSV [0.285,0.615,0.678,0.694] button</output>
assistant
Previous action: CLICK: Click on the Export as CSV [0.285,0.615,0.678,0.694] button
Action history: CLICK: Click on the Search [0.011,0.186,0.149,0.226] button CLICK: Click on the More Filters [0.289,0.389,0.374,0.432] button TYPE: Type job titles in the Search filters [0.235,0.389,0.416,0.433] tab CLICK: Click on the Job Titles [0.185,0.5,0.389,0.567] button CLICK: Click on the Search for a job title [0.205,0.623,0.369,0.663] tab TYPE: Type data scientist in the Search for a job title [0.206,0.623,0.369,0.662] tab CLICK: Click on the Search filters [0.271,0.39,0.451,0.435] tab TYPE: Type company in the Search filters [0.271,0.386,0.451,0.432] tab CLICK: Click on the Company [0.186,0.505,0.389,0.567] button CLICK: Click on the Enter companies [0.204,0.627,0.369,0.667] tab TYPE: Type Netflix in the Enter companies [0.206,0.619,0.369,0.657] tab CLICK: Click on the Search filters [0.272,0.39,0.453,0.433] tab TYPE: Type total years of experience in the Search filters [0.272,0.391,0.453,0.433] tab CLICK: Click on the Total Years of Experience [0.184,0.499,0.388,0.563] button CLICK: Click on the Min year [0.196,0.572,0.281,0.617] tab TYPE: Type 2 in the Min year [0.196,0.572,0.28,0.614] tab CLICK: Click on the Apply Filters [0.896,0.39,0.968,0.433] button CLICK: Click on the Selection Dropdown [0.397,0.324,0.425,0.358] icon CLICK: Click on the Select number of people [0.448,0.557,0.503,0.6] tab TYPE: Type 50 in the Select number of people [0.448,0.556,0.502,0.597] tab CLICK: Click on the Apply selection [0.315,0.674,0.507,0.722] button CLICK: Click on the Export [0.64,0.321,0.663,0.366] icon CLICK: Click on the Export as CSV [0.285,0.615,0.678,0.694] 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 list as a CSV, the next action is to click on the Save button to save the file to the desired location on the computer.</cot>
<output>CLICK: Click on the Save [0.674,0.723,0.71,0.766] button</output>
assistant