HF RL Explorer

Task: Find the 10 Closest 3D Points from a Million Points

Task: Find the 10 Closest 3D Points from a Million Points: a task in Terminal-Lego-15k (Harbor dataset). You have a dataset of one million 3D points. Given a query point, you need to efficiently find the 10 nearest points to it using Euclidean distance.

The task

You have a dataset of one million 3D points. Given a query point, you need to efficiently find the 10 nearest points to it using Euclidean distance.

Part of PrimeIntellect/Terminal-Lego-15k.