ScriptAI Infrastructurev1.0

Dataset Preparation

by AaaS · open-source · Last verified 2026-03-01

Prepares datasets for LLM fine-tuning by converting raw data into instruction-following, conversation, or completion formats. Handles data cleaning, deduplication, train/val/test splitting, tokenization analysis, and quality filtering.

https://aaas.blog/script/dataset-preparation ↗

C+

C+—Average

Adoption: BQuality: B+Freshness: B+Citations: C+Engagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: format-conversion, data-cleaning, deduplication, split-generation, quality-filtering
Integrations: datasets, pandas, tiktoken, openai
Use Cases: fine-tuning-preparation, training-data-curation, data-quality-improvement, format-standardization
API Available: No
Language: python
Dependencies: datasets, pandas, tiktoken, openai, scikit-learn
Environment: Python 3.11+
Est. Runtime: 5-30 minutes depending on dataset size
Tags: script, automation, dataset, preparation, training
Added: 2026-03-17
Completeness: 100%

Index Score

57.3

Adoption

Quality

Freshness

Citations

Engagement

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