Update README.md

README.md

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 **Structured, issue-level records extracted from U.S. Board of Veterans' Appeals (BVA) decisions** — each decision parsed into its issues, conditions, outcomes, citations, and reasoning, with per-document provenance and completeness flags. Built for training and evaluating legal-AI models on veterans' disability adjudication.
 
-This is a **5600-decision sample**, balanced across **seven years (2019–2025, ~415 decisions/year)**, so it's representative of the full corpus rather than skewed to one year. A larger full-corpus release and a commercial license are available (see **Access & licensing** below).
+This is a **5600-decision sample**, balanced across **seven years (2019–2025, ~800 decisions/year)**, so it's representative of the full corpus rather than skewed to one year. A larger full-corpus release and a commercial license are available (see **Access & licensing** below).
 
 > **Honesty note (please read).** Labels are **silver** (engine-produced, benchmarked against an LLM-labeled reference at ~96% outcome accuracy), **not** human-certified gold. Provenance and completeness ship with every row so you can verify and filter. See **Quality & accuracy**.