2 Commits

Author SHA1 Message Date
Florian Herzog
63e650fa14 Update dataset description with full 2025Q3 build statistics
Full build: 2,326 prospectus filings across 393 trusts -> 852 samples
(659 segmented per-fund + 193 fallback), trust-level split 655/122/75,
no-model baseline F1=0.79.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-03 11:21:23 +02:00
Florian Herzog
1993658fb2 Add SEC fund prospectus -> RDF triple dataset pipeline
Builds a relationship-rich finance dataset for text-to-RDF-triple extraction
from SEC fund disclosures, the dataset for the thesis 'Magical RDF Triples and
how to synthetize them'.

- build_rdf_dataset.py: gold (N-CEN graphs), fetch (EDGAR prospectus prose,
  all books per trust), samples (per-fund segmentation, marker + plain
  serializations), split (trust-level 80/10/10, no leakage)
- score_baseline.py: no-model string-match baseline + strong-model scorer
- dataset_description.{tex,pdf}: scientific description of the dataset
- data/rdf_poc/gold_graphs.jsonl: structured gold knowledge graph (2025Q3)
- Large prose/sample files and raw SEC downloads are gitignored (reproducible)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-03 10:31:35 +02:00