chore: import upstream snapshot with attribution

2026-07-13 13:38:23 +08:00
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+Sebastian Raschka, 2015
+
+# Python Machine Learning - Supplementary Datasets
+
+### iris
+
+- used in chapters 1, 2, and 3
+- source: [https://archive.ics.uci.edu/ml/datasets/Iris](https://archive.ics.uci.edu/ml/datasets/Iris)
+
+### wine
+
+- used in chapters 4 and 5
+- source: [https://archive.ics.uci.edu/ml/datasets/Wine](https://archive.ics.uci.edu/ml/datasets/Wine)
+
+### wdbc
+
+- used in chapter 6
+- source: [https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)](https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic))
+
+### movie
+
+- used in chapters 8 and 9
+- movie dataset converted into a 2-column CSV format: The first column (`review`) contains the text, and the second column (`sentiment`) denotes the polarity, where 0=negative and 1=positive. The first 25,000 are the training samples and the remaining 25,000 rows are the test samples from the "Large Movie Review Dataset v1.0," respectively.
+- source: [http://ai.stanford.edu/~amaas/data/sentiment/](http://ai.stanford.edu/~amaas/data/sentiment/)
+
+### housing
+
+- used in chapter 10
+- source: [https://archive.ics.uci.edu/ml/datasets/Housing](https://archive.ics.uci.edu/ml/datasets/Housing)
+
+### mnist
+
+- used in chapters 12 and 13
+- source: [http://yann.lecun.com/exdb/mnist/]