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: After completing the entire search and filtering process, the next action is to click on the Search button to fetch the list of 50 data scientists working in Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button</output>
assistant
Previous action: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After performing the search and setting the filters for job title, company, and experience, the next step is to click on the "More Filters" button to further refine the search criteria for data scientists at Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button</output>
assistant
Previous action: CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] 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 "job titles" in the Search filters to further refine the search and find the list of 50 data scientists working in Netflix with at least 2 years of experience.</cot>
<output>TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab</output>
assistant
Previous action: TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: To refine the search results, we need to click on the Job Titles button in the Search filters tab as part of the ongoing process to find 50 data scientists with at least 2 years of experience at Netflix.</cot>
<output>CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button</output>
assistant
Previous action: CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After performing multiple filters and selections, the next action should be to Click on the Search for a job title tab to specify the job title "data scientist" for the final search.</cot>
<output>CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab</output>
assistant
Previous action: CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] 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 filter the results specifically for the job title of data scientist within Netflix with at least 2 years of experience. This will further refine the search to meet the specified criteria.</cot>
<output>TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab</output>
assistant
Previous action: TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: Clicking on the Search filters tab will allow for further refinement of the search criteria to specify the required experience level and other necessary details for the data scientist role at Netflix.</cot>
<output>CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab</output>
assistant
Previous action: CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: We have already clicked on the Search filters tab and the next step is to type "company" in the Search filters tab to continue filtering the results for the specified company.</cot>
<output>TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab</output>
assistant
Previous action: TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After repeatedly filtering the search results for job titles and company, the next step is to click on the Company button to further refine the search criteria for data scientists at Netflix.</cot>
<output>CLICK: Click on the Company [0.237,0.178,0.237,0.178] button</output>
assistant
Previous action: CLICK: Click on the Company [0.237,0.178,0.237,0.178] button
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: To specify the company for the search, the next action is to click on the "Enter companies" tab as part of the filtering process.</cot>
<output>CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab</output>
assistant
Previous action: CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] 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 type "Netflix" in the Enter companies tab to further filter the search results and specify the company for the data scientist job title and experience filter. This action will help us generate the list of data scientists working in Netflix with at least 2 years of experience.</cot>
<output>TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab</output>
assistant
Previous action: TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] 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 customize the search by adding additional filters for the list of 50 data scientists working at Netflix with at least 2 years of experience. This will allow us to refine the search criteria.</cot>
<output>CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab</output>
assistant
Previous action: CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: We need to type the total years of experience in the Search filters tab to filter data scientists with at least 2 years of experience, as per the task requirements.</cot>
<output>TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab</output>
assistant
Previous action: TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] 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 is to click on the "Total Years of Experience" button to apply the filter for at least 2 years of experience.</cot>
<output>CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button</output>
assistant
Previous action: CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After setting the total years of experience filter to a minimum of 2, the next action is to click on the "Min year" tab to specify the minimum required years of experience for the data scientists at Netflix.</cot>
<output>CLICK: Click on the Min year [0.256,0.169,0.256,0.169] tab</output>
assistant
Previous action: CLICK: Click on the Min year [0.256,0.169,0.256,0.169] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button CLICK: Click on the Min year [0.256,0.169,0.256,0.169] 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 covered filtering job titles, typing company names, and applying specific experience filters, the next action is to type "2" in the Min year tab to ensure only data scientists with at least 2 years of experience are included in the list.</cot>
<output>TYPE: Type 2 in the Min year [0.264,0.185,0.264,0.185] tab</output>
assistant
Previous action: TYPE: Type 2 in the Min year [0.264,0.185,0.264,0.185] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button CLICK: Click on the Min year [0.256,0.169,0.256,0.169] tab TYPE: Type 2 in the Min year [0.264,0.185,0.264,0.185] tab
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: After typing "2" in the Min year tab, the next step is to apply the filters by clicking on the Apply Filters button 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 [1.154,0.96,1.154,0.96] button</output>
assistant
Previous action: CLICK: Click on the Apply Filters [1.154,0.96,1.154,0.96] button
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button CLICK: Click on the Min year [0.256,0.169,0.256,0.169] tab TYPE: Type 2 in the Min year [0.264,0.185,0.264,0.185] tab CLICK: Click on the Apply Filters [1.154,0.96,1.154,0.96] 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 successfully, the next action is to click on the Selection Dropdown icon to choose the number of people for exporting the list.</cot>
<output>CLICK: Click on the Selection Dropdown [0.503,0.357,0.503,0.357] icon</output>
assistant
Previous action: CLICK: Click on the Selection Dropdown [0.503,0.357,0.503,0.357] icon
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button CLICK: Click on the Min year [0.256,0.169,0.256,0.169] tab TYPE: Type 2 in the Min year [0.264,0.185,0.264,0.185] tab CLICK: Click on the Apply Filters [1.154,0.96,1.154,0.96] button CLICK: Click on the Selection Dropdown [0.503,0.357,0.503,0.357] icon
Task: Task: Give the list of 50 data scientists working in Netflix with at least 2 years of experience.
user
<cot>Reasoning: Clicking on the "Select number of people" tab will allow us to specify the number of data scientists to be listed, fulfilling the task requirements for obtaining a list of 50 data scientists.</cot>
<output>CLICK: Click on the Select number of people [0.577,0.467,0.577,0.467] tab</output>
assistant
Previous action: CLICK: Click on the Select number of people [0.577,0.467,0.577,0.467] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button CLICK: Click on the Min year [0.256,0.169,0.256,0.169] tab TYPE: Type 2 in the Min year [0.264,0.185,0.264,0.185] tab CLICK: Click on the Apply Filters [1.154,0.96,1.154,0.96] button CLICK: Click on the Selection Dropdown [0.503,0.357,0.503,0.357] icon CLICK: Click on the Select number of people [0.577,0.467,0.577,0.467] 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 to be included in the list, as part of the previous actions to filter and export the data.</cot>
<output>TYPE: Type 50 in the Select number of people [0.591,0.487,0.591,0.487] tab</output>
assistant
Previous action: TYPE: Type 50 in the Select number of people [0.591,0.487,0.591,0.487] tab
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button CLICK: Click on the Min year [0.256,0.169,0.256,0.169] tab TYPE: Type 2 in the Min year [0.264,0.185,0.264,0.185] tab CLICK: Click on the Apply Filters [1.154,0.96,1.154,0.96] button CLICK: Click on the Selection Dropdown [0.503,0.357,0.503,0.357] icon CLICK: Click on the Select number of people [0.577,0.467,0.577,0.467] tab TYPE: Type 50 in the Select number of people [0.591,0.487,0.591,0.487] tab
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 number of people and exporting the data, the next logical step is to click on the "Apply selection" button to finalize the data extraction process.</cot>
<output>CLICK: Click on the Apply selection [0.4,0.332,0.4,0.332] button</output>
assistant
Previous action: CLICK: Click on the Apply selection [0.4,0.332,0.4,0.332] button
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button CLICK: Click on the Min year [0.256,0.169,0.256,0.169] tab TYPE: Type 2 in the Min year [0.264,0.185,0.264,0.185] tab CLICK: Click on the Apply Filters [1.154,0.96,1.154,0.96] button CLICK: Click on the Selection Dropdown [0.503,0.357,0.503,0.357] icon CLICK: Click on the Select number of people [0.577,0.467,0.577,0.467] tab TYPE: Type 50 in the Select number of people [0.591,0.487,0.591,0.487] tab CLICK: Click on the Apply selection [0.4,0.332,0.4,0.332] 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 50 data scientists with the required experience, the next step is to click on the Export icon to save the list for further use.</cot>
<output>CLICK: Click on the Export [0.829,0.71,0.829,0.71] icon</output>
assistant
Previous action: CLICK: Click on the Export [0.829,0.71,0.829,0.71] icon
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button CLICK: Click on the Min year [0.256,0.169,0.256,0.169] tab TYPE: Type 2 in the Min year [0.264,0.185,0.264,0.185] tab CLICK: Click on the Apply Filters [1.154,0.96,1.154,0.96] button CLICK: Click on the Selection Dropdown [0.503,0.357,0.503,0.357] icon CLICK: Click on the Select number of people [0.577,0.467,0.577,0.467] tab TYPE: Type 50 in the Select number of people [0.591,0.487,0.591,0.487] tab CLICK: Click on the Apply selection [0.4,0.332,0.4,0.332] button CLICK: Click on the Export [0.829,0.71,0.829,0.71] 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 filters and selecting the number of people, the next action is to click on the "Export as CSV" button to save the list of data scientists working in Netflix with at least 2 years of experience.</cot>
<output>CLICK: Click on the Export as CSV [0.37,0.291,0.37,0.291] button</output>
assistant
Previous action: CLICK: Click on the Export as CSV [0.37,0.291,0.37,0.291] button
Action history: CLICK: Click on the Search [0.018,-0.02,0.018,-0.02] button CLICK: Click on the More Filters [0.387,0.304,0.387,0.304] button TYPE: Type job titles in the Search filters [0.311,0.247,0.311,0.247] tab CLICK: Click on the Job Titles [0.252,0.172,0.252,0.172] button CLICK: Click on the Search for a job title [0.274,0.219,0.274,0.219] tab TYPE: Type data scientist in the Search for a job title [0.261,0.208,0.261,0.208] tab CLICK: Click on the Search filters [0.349,0.267,0.349,0.267] tab TYPE: Type company in the Search filters [0.352,0.283,0.352,0.283] tab CLICK: Click on the Company [0.237,0.178,0.237,0.178] button CLICK: Click on the Enter companies [0.28,0.196,0.28,0.196] tab TYPE: Type Netflix in the Enter companies [0.273,0.224,0.273,0.224] tab CLICK: Click on the Search filters [0.345,0.257,0.345,0.257] tab TYPE: Type total years of experience in the Search filters [0.356,0.277,0.356,0.277] tab CLICK: Click on the Total Years of Experience [0.24,0.171,0.24,0.171] button CLICK: Click on the Min year [0.256,0.169,0.256,0.169] tab TYPE: Type 2 in the Min year [0.264,0.185,0.264,0.185] tab CLICK: Click on the Apply Filters [1.154,0.96,1.154,0.96] button CLICK: Click on the Selection Dropdown [0.503,0.357,0.503,0.357] icon CLICK: Click on the Select number of people [0.577,0.467,0.577,0.467] tab TYPE: Type 50 in the Select number of people [0.591,0.487,0.591,0.487] tab CLICK: Click on the Apply selection [0.4,0.332,0.4,0.332] button CLICK: Click on the Export [0.829,0.71,0.829,0.71] icon CLICK: Click on the Export as CSV [0.37,0.291,0.37,0.291] 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 involves exporting the data as CSV and the next logical step in the sequence is to save the exported file. Therefore, the next action is to click on the Save button.</cot>
<output>CLICK: Click on the Save [0.856,0.74,0.856,0.74] button</output>
assistant