OPEN_SOURCE ↗
REDDIT · REDDIT// 25d agoINFRASTRUCTURE
Liechtenstein .li dataset seeks fine-tuning feedback
A LocalLLaMA post introduces a curated 35,754-document, 28M-token dataset built from Common Crawl’s CC-MAIN-2026-08 and focused on Liechtenstein’s `.li` web domain. The author claims strong QA scoring, PII redaction, multilingual coverage, and detailed WARC provenance, and is asking practitioners whether this scale is useful for fine-tuning and compliance-focused RAG use cases.
// ANALYSIS
The pitch is interesting for niche, high-trust regional AI workloads, but the real value will depend on access terms, reproducibility, and external validation of the QA claims.
- –A 28M-token corpus is small for broad pretraining but can be practical for domain adaptation, instruction tuning, and retrieval-heavy assistants.
- –Strong provenance metadata (URL/timestamp/digest/offset) is a real differentiator for auditability and regulated deployments.
- –The multilingual mix with heavy German coverage makes it potentially useful for DACH legal/government assistants and cross-lingual retrieval.
- –Since this is currently a feedback request (not a fully published benchmarked release), teams will likely want a sample plus eval results before committing.
// TAGS
liechtenstein-li-datasetfine-tuningragdata-toolsmultilingualcommon-crawlcompliancegdpr
DISCOVERED
25d ago
2026-03-17
PUBLISHED
25d ago
2026-03-17
RELEVANCE
7/ 10
AUTHOR
Character_Bison5968