<jupyter_start><jupyter_text>Data Preview原数据维度：629145480, 2现在取一部分<jupyter_code>#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Date    : Feb-08-22 23:06
# @Author  : <NAME> (<EMAIL>)

import os
import numpy as np
from datasets_utils import load_data
BASE_PATH = "E:\DeepLearningData\LANL-Earthquake-Prediction\processed"
train_acoustic_data = load_data(path=BASE_PATH, name="train_acoustic_data")
train_time_to_failure = load_data(path=BASE_PATH, name="train_time_to_failure")

# View data's shape
print(train_acoustic_data.shape)
print(train_time_to_failure.shape)<jupyter_output>(629145480,)
(629145480,)
{'fraction_non_alphanumeric': 0.12828947368421054, 'fraction_numerical': 0.0625, 'mean_word_length': 7.7, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 6, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '539913', 'license': 'MIT', 'n_tokens_mistral': 269, 'n_tokens_neox': 242, 'n_words': 36, 'path': 'data_preview.ipynb', 'repo_name': 'AI-Huang/LANL_Earthquake_Prediction', 'size': '635'}