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+# Tiny memorization synthetic datasets
+
+Uniformly-random token datasets replicating the methodology of
+["How much do language models memorize?"](https://huggingface.co/papers/2505.24832)
+(arXiv:2505.24832).
+
+Each variant `/<tag>/dataset_tokens.npy` is an `(N, 65)` int64 array: a BOS token
+(id 2048) followed by 64 uniform iid tokens in `[0, 2048)`. The exact entropy is
+`H = N * 64 * log2(2048) = N * 704` bits (see each `generation_params.json`).
+Tokens are sampled with `numpy.random.default_rng(seed)`; the seed is recorded per variant.