First, thank you for sharing this useful data and benchmark. While testing the Calendar Scheduling dataset, I discovered that another possible solution to certain exemplars might exist.
One example I found is calendar_scheduling_example_98:
"You are an expert at scheduling meetings. You are given a few constraints on the existing schedule of each participant, the meeting duration, and possibly some preferences on the meeting time. Note there exists a solution that works with existing schedule of every participant. Here are a few example tasks and solutions: TASK: You need to schedule a meeting for Juan, Marilyn and Ronald for half an hour between the work hours of 9:00 to 17:00 on Monday. Here are the existing schedules for everyone during the day: Juan is busy on Monday during 9:00 to 10:30, 15:30 to 16:00; Marilyn has blocked their calendar on Monday during 11:00 to 11:30, 12:30 to 13:00; Ronald has blocked their calendar on Monday during 9:00 to 10:30, 12:00 to 12:30, 13:00 to 13:30, 14:00 to 16:30; Juan can not meet on Monday after 16:00. Find a time that works for everyone's schedule and constraints. SOLUTION: "
where the golden plan is:
"Here is the proposed time: Monday, 13:30 - 14:00 "
However, according to the given constraints, I think 10:30 - 11:00 would also meet the conditions.
Could you review this question and check if there is anything I misunderstood in this dataset?
I also find this issue in the dataset. I look into around 50 data points and find around 10% of them actually have multiple solutions. I wonder whether it is possible to add these solutions to the dataset.
Hi Authors,
First, thank you for sharing this useful data and benchmark. While testing the Calendar Scheduling dataset, I discovered that another possible solution to certain exemplars might exist.
One example I found is calendar_scheduling_example_98:
"You are an expert at scheduling meetings. You are given a few constraints on the existing schedule of each participant, the meeting duration, and possibly some preferences on the meeting time. Note there exists a solution that works with existing schedule of every participant. Here are a few example tasks and solutions: TASK: You need to schedule a meeting for Juan, Marilyn and Ronald for half an hour between the work hours of 9:00 to 17:00 on Monday. Here are the existing schedules for everyone during the day: Juan is busy on Monday during 9:00 to 10:30, 15:30 to 16:00; Marilyn has blocked their calendar on Monday during 11:00 to 11:30, 12:30 to 13:00; Ronald has blocked their calendar on Monday during 9:00 to 10:30, 12:00 to 12:30, 13:00 to 13:30, 14:00 to 16:30; Juan can not meet on Monday after 16:00. Find a time that works for everyone's schedule and constraints. SOLUTION: "
where the golden plan is:
"Here is the proposed time: Monday, 13:30 - 14:00 "
However, according to the given constraints, I think 10:30 - 11:00 would also meet the conditions.
Could you review this question and check if there is anything I misunderstood in this dataset?
Thank you!