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README.md

@@ -102,6 +102,8 @@ dataset_info:
 
 [Paper](https://openreview.net/forum?id=VouFZFf8Ph) · [Code & evaluation](https://github.com/nat-nischw/AMLworld-Compact) · [Baseline results](https://github.com/nat-nischw/AMLworld-Compact#baselines)
 
+Release 1.0 (2026-09-23).
+
 AMLworld-Compact provides **6,021 evaluation cases** for anti-money-laundering
 research, derived from the HI-Small and LI-Small temporal test splits of IBM's
 synthetic AMLworld dataset. Each case contains a
@@ -119,9 +121,6 @@ released set has one illicit case for every two benign cases.
 
 ## Quick start
 
-This repository is currently private. Set `HF_TOKEN` in your environment to a
-token with read access before loading.
-
 ```bash
 pip install datasets scikit-learn
 ```
@@ -309,6 +308,11 @@ The original transaction CSVs are not included.
 
 See [NOTICE.md](./NOTICE.md) for attribution and licence scope.
 
+## Contact
+
+Open a [GitHub issue](https://github.com/nat-nischw/AMLworld-Compact/issues) for
+questions about the dataset or the code.
+
 ## Citation
 
 <details>