Model Adaptation · Data artifact

Raw Document Corpus

Data artifactModel AdaptationModelsarc:RawDocumentCorpus

An uncurated collection of documents or transcripts in line-delimited JSON, each record holding text plus metadata such as source URL, extraction timestamp and document type, awaiting curation.

Responsibility. Supplies raw candidate training text and its provenance metadata to the curation pipeline.

Also known as: Raw scraped dataset, JSON Lines dataset, Raw call transcripts

Direct neighbourhood (hover for relationship types)

Relationships

is read by dependency

Partitioned Dataset Reader Ch7.5

is produced by lifecycle

Speech Transcriber Ch7.5

Quantitative guidance

As stated by the sources; verify before use.

Financial example starts at 5 billion documents / 10TB mixing earnings reports, spam, OCR-corrupted PDFs and duplicated press releases (Ch7.5).

Classification

Technologies: JSON Lines
Quality attributes: Transparency and accountability (NIST AI RMF: accountable and transparent)

Sources

Ch7.5: T. Nguyen, "NeMo Curator, Riva Speech AI & Multimodal Integration," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 7.5. ISBN: 9798244538229.