One way to display tasks in a CSV file randomly to workers but collect results in order is by using a task management platform, such as Amazon Mechanical Turk. This platform allows you to upload your CSV file and specify the task instructions that you want workers to complete. You can then distribute the tasks to a pool of workers and monitor the progress of the tasks as they are completed.
Once you have uploaded your CSV file and specified the task instructions, the platform will randomly assign the tasks to workers from its pool. The workers can then complete the tasks in a random order, and the results will be automatically recorded and collected by the platform. However, even though the tasks are being completed in a random order, the platform will ensure that the results are collected in the order that they were uploaded in the CSV file. This means that you will be able to see the results in the same order as they appear in your original file, even though the tasks themselves were assigned randomly to workers.
This approach has several advantages. Firstly, it helps to reduce bias in the task assignment process, as workers are randomly assigned tasks rather than assigned tasks based on their perceived abilities or other factors. Secondly, it allows you to take advantage of the large pool of workers available on the platform, increasing the speed and efficiency of the task-completion process. Finally, it makes it easy for you to collect and analyze the results, as the results will be recorded in the correct order and can be easily exported for further analysis.
In conclusion, using a task management platform to display tasks from a CSV file randomly to workers while collecting results in order is a flexible and effective way to manage large-scale tasks. Whether you are working on a research project, conducting a survey, or collecting data for some other purpose, this approach can help you to achieve your goals efficiently and accurately.