# Find First Arrivals - ML in Physics - AI4Society — Data

来源：https://www.kaggle.com/competitions/first-arrivals-ml-in-physics/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

There are 24 simulations in the train folder. each simulation folder contains 127 csv files, standing for 127 receivers. Each receiver records fluctuations in X, Y and Z components over a 30000 timesteps period. There can be from 0 (minimum) to 5 (maximum) earthquakes in each simulation. Your task is to determine when a receiver first picks up the energy from an earthquake. 

For each simulation, there is a "simulation_[X]_output.csv". In this file, there is a 5 by 127 matrix, where each row corresponds for an "event" (an earthquake), and each column represents a receiver respectively. Each value is the exact timestep when the receiver recognises the first arrival of an earthquake. If there is less than 5 earthquakes in a simulation, you must fill everything else with -1. 

Due to Kaggle restrictions, the submission file cannot be in the matrix form but in a flattened format. Please refer to the sampleSubmission.csv to understand the layout. The file contains 127 x 5 =  635 entries, where each entry is in the format R[receiver #]-E[event #], [predicted timestep].