Add CMD+RVL organization card

README.md

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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# CMD+RVL — Structured finance data intelligence
+
+We turn primary sources — SEC filings and the disclosures behind structured
+finance deals — into machine-readable data with the provenance kept intact, so
+every number can be traced back to where it came from.
+
+The datasets on this page are **open samplers** of that work. They're built to be
+downloaded, modeled, and pulled apart. The full, continuously-updated data that
+backs them is available on the
+[Snowflake](https://app.snowflake.com/marketplace/providers/GZT0ZYQ5618/CMD%2BRVL%20%28Command%20Reveal%29)
+and [Databricks](https://marketplace.databricks.com/?provider=CMD%2BRVL&sortBy=date)
+marketplaces — these Hugging Face releases are the taste, not the whole table.
+
+## Explore the data live → [dealcharts.org](https://dealcharts.org)
+
+DealCharts is our public window into structured finance: thousands of CMBS deals,
+mapped funds, and BDCs, each backed by the SEC filings it came from. **Ask Cairn**
+anything about a deal, fund, or entity and get an answer with its sources. Start
+there — it's the fastest way to see what this data can do.
+
+## On Hugging Face
+
+**Available now — CMBS special-servicing early warning.** A leakage-safe
+population framed around "which CMBS assets are at elevated risk of transferring
+to special servicing within the next 12 months," using only point-in-time
+information from SEC filings, in three shapes:
+
+- [`cmbs-special-servicing-transfer`](https://huggingface.co/datasets/commandreveal/cmbs-special-servicing-transfer)
+  — flat supervised table for tabular classification, AutoML, XGBoost, and
+  tabular foundation models like [TabPFN](https://github.com/PriorLabs/TabPFN)
+  and [TabFM](https://github.com/google-research/tabfm).
+- [`cmbs-special-servicing-sequences`](https://huggingface.co/datasets/commandreveal/cmbs-special-servicing-sequences)
+  — the same population as ordered per-asset sequences, for sequence and
+  time-series models.
+- [`cmbs-special-servicing-timeline`](https://huggingface.co/datasets/commandreveal/cmbs-special-servicing-timeline)
+  — a text companion with a natural-language timeline per observation, for LLM
+  prompting, NLP, and text classification.
+
+**What's next.** This is one use case in one asset class. More CMBS use cases,
+Auto ABS, CLO, and other structured finance datasets are on the way.
+
+## How to use these
+
+Treat them as starting points, not answers. CMBS is hard, and these tables are
+unlikely to be predictive on their own — even cleaned up. They're more
+interesting as the *shape* of a problem: a defined population, an honest temporal
+split, and traceable provenance to build on. Stitch your own signals onto the
+spine — rates, spreads, macro, property-level data, your own features — and see
+what actually moves the label.
+
+The point of the provenance is that you never have to take a number on faith:
+every observation carries the SEC filing and reporting period it came from, so
+you can trace and check any value yourself. We're not claiming the labels are
+clean or the feature set complete — we're claiming they're auditable. That's the
+same discipline we bring to client work: finished results with proof that survive
+without us.
+
+## Terms
+
+License: CC-BY-NC-4.0 — open for non-commercial use. For commercial use, get the
+full data on
+[Snowflake](https://app.snowflake.com/marketplace/providers/GZT0ZYQ5618/CMD%2BRVL%20%28Command%20Reveal%29)
+or [Databricks](https://marketplace.databricks.com/?provider=CMD%2BRVL&sortBy=date),
+or reach us at **cairn@cmdrvl.com**.
+
+[dealcharts.org](https://dealcharts.org) ·
+[Snowflake Marketplace](https://app.snowflake.com/marketplace/providers/GZT0ZYQ5618/CMD%2BRVL%20%28Command%20Reveal%29) ·
+[Databricks Marketplace](https://marketplace.databricks.com/?provider=CMD%2BRVL&sortBy=date) ·
+[cmdrvl.com](https://cmdrvl.com) · cairn@cmdrvl.com