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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.
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- 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).
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  > **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**.
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- | **Decisions** | 5600 |
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- | **Years** | 2019–2025 (~800 per year, balanced) |
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  | **Format** | CSV (one row per decision) — 23 columns |
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  | **Coverage** | 99% of rows carry extracted issues and citations; 96% carry reasoning atoms |
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  | **Source** | Public BVA decisions published on va.gov |
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  ### Outcome distribution (decision-level)
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- `remanded` 1,539 · `denied` 1,103 · `granted` 973 · `dismissed` 253 · `reopened` 68 · `withdrawn` 3
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  ### Appeals regime
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- `legacy` 1,083 · `AMA` 60 · `unknown` 1,762 (tagged from the decision text, not the year).
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  ### Conditions
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  **107 distinct medical conditions.** Top: back disability (490), knee disability (438), hearing loss (341), arthritis (302), psychiatric disorder (289), PTSD (287), peripheral neuropathy (272), sleep apnea (212), hypertension (195), foot disability (177).
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  ## Changelog
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- - **v1** — 5600 decisions, balanced 2019–2025; 23-column document schema; silver labels (~96% benchmark).
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  ---
 
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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.
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+ This is a **2900-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).
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  > **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**.
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  | | |
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  |---|---|
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+ | **Decisions** | 2900
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+ | **Years** | 2019–2025 (balanced) |
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  | **Format** | CSV (one row per decision) — 23 columns |
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  | **Coverage** | 99% of rows carry extracted issues and citations; 96% carry reasoning atoms |
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  | **Source** | Public BVA decisions published on va.gov |
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  ### Outcome distribution (decision-level)
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+ `remanded` · `denied` · `granted` · `dismissed` · `reopened` · `withdrawn`
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  ### Appeals regime
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+ `legacy` · `AMA` · `unknown` (tagged from the decision text, not the year).
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  ### Conditions
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  **107 distinct medical conditions.** Top: back disability (490), knee disability (438), hearing loss (341), arthritis (302), psychiatric disorder (289), PTSD (287), peripheral neuropathy (272), sleep apnea (212), hypertension (195), foot disability (177).
 
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  ## Changelog
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+ - **v1** — 2900 decisions, balanced 2019–2025; 23-column document schema; silver labels (~96% benchmark).
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  ---