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09ab2f5 | 1 2 3 4 5 6 7 8 9 10 11 | # 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.
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