batch_data_splitter
OfficialEfficiently split large datasets into evenly distributed chunks.
Data & Analytics#batch processing#dataset management#data splitting#uniform distribution#manifest file
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The batch_data_splitter Skill solves the challenge of dividing large datasets into smaller, evenly distributed chunks for easier processing and management.
Core Features & Use Cases
- Data Splitting: Distributes datasets into specified number of chunks or fixed sample sizes.
- File Handling: Supports input in json/jsonl/csv formats and outputs a manifest file with detailed information about the splits.
- Use Case: Ideal for use in data preprocessing workflows where large datasets need to be segmented for parallel processing or for use in training models with varied sample sizes.
Quick Start
To split the dataset 'data.csv' into 5 chunks, use the 'batch_data_splitter' skill with the input parameter 'data.csv' and the output parameter './splits_manifest.json' set to 5.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: batch_data_splitter Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#batch-data-splitter Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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