# LANL Earthquake Prediction — Data

来源：https://www.kaggle.com/competitions/LANL-Earthquake-Prediction/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

The goal of this competition is to use seismic signals to predict the timing of laboratory earthquakes. The data comes from a well-known experimental set-up used to study earthquake physics. The `acoustic_data` input signal is used to predict the time remaining before the next laboratory earthquake (`time_to_failure`).

The training data is a single, continuous segment of experimental data. The test data consists of a folder containing many small segments. The data _within_ each test file is continuous, but the test files do not represent a continuous segment of the experiment; thus, the predictions cannot be assumed to follow the same regular pattern seen in the training file. 

For each `seg_id` in the test folder, you should predict a _single_ `time_to_failure` corresponding to the time between the _last row of the segment_ and the next laboratory earthquake.

## File descriptions

*   **train.csv** - A single, continuous training segment of experimental data.
*   **test** - A folder containing many small segments of test data. 
*   **sample_sumbission.csv** - A sample submission file in the correct format.

## Data fields

*   **acoustic_data** - the seismic signal [int16]
*   **time_to_failure** - the time (in seconds) until the next laboratory earthquake [float64]
*   **seg_id** - the test segment ids for which predictions should be made (one prediction per segment)