Split — Data Splitting Reference

Quick-reference skill for data splitting techniques, partitioning strategies, and practical patterns.

When to Use

• Splitting strings by delimiters, patterns, or fixed widths
• Partitioning datasets for ML training/validation/test
• Dividing large files into manageable chunks
• Database sharding and horizontal partitioning
• Understanding split strategies for distributed systems

Commands

intro

scripts/script.sh intro

Overview of data splitting — concepts, common use cases, and terminology.

string

scripts/script.sh string

String splitting techniques — delimiters, regex, fixed-width, tokenization.

file

scripts/script.sh file

File splitting methods — by size, lines, patterns, and round-robin.

dataset

scripts/script.sh dataset

ML dataset splitting — train/val/test, stratified, time-series, k-fold.

database

scripts/script.sh database

Database partitioning — horizontal, vertical, hash, range, and list.

strategies

scripts/script.sh strategies

Splitting strategies for distributed systems — consistent hashing, sharding keys.

examples

scripts/script.sh examples

Practical split examples across languages and tools.

pitfalls

scripts/script.sh pitfalls

Common pitfalls and best practices when splitting data.

help

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scripts/script.sh help

version

scripts/script.sh version

Configuration

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這是一份質量不錯的資料分割知識參考，內容覆蓋全面，最大的亮點是包含了大量實用技巧、常見陷阱和最佳實踐。不足之處是內容以文字說明為主，缺少可直接執行的程式碼示例。適合作為學習參考資料，整體而言是一個有價值的參考資料類 Skill。