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int64
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int64
K_canary
int64
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int64
F_frontload
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ee8ce7103627f81cefdf48bccc8d157564632317
28
2,048
960
1,519,770
1,999
15,197,760
30,396
15,831
13,675,991
31,125,012,480
0.1
0.002
{ "compact": 0.8998688622533847, "annotated": 0.09999960520497758, "canary": 0.00013153254163771503 }
{ "hidden": 1408, "layers": 17, "heads": 22, "kv_groups": 11, "ffn": 4864, "params": 519815296, "tokens_per_param": 59.87706156303642, "target_params_3x_chinchilla": 518750208 }
{ "peak": 0.0002, "warmup_iters": 2000, "wsd_decay_iters": 2001, "style": "WSD linear->0" }
{ "A": 1519770, "K": 1999, "doc_trunc": 218161, "degenerate_n": 0, "ann_content_tokens": 1097864274, "refl_tokens_1p": 187123176, "mean_insert_frac": 0.49528342708649575, "labeled_row_count_prefilter": 1521801 }
2026-08-17T02:56:06

op-spp-streams-v1 — tokenized Megatron streams (SPP-format pretraining corpus)

Tokenized Dolma v1.7 (ODC-BY) subsample in Megatron IndexedDataset format (uint16, SmolLM2 tokenizer + <assistant> extension from epfl-dlab/spp-training): compact dense-packed 2049-token windows; annotated/canary one document per window, EOD-padded. Built for a Synthetic-Persona-Pretraining-recipe run (arXiv:2608.13482) — these files carry ONLY document tokens (raw public-corpus text); the persona annotations ride in a separate private sidecar and are inserted at training time. See corpus_meta.json for the exact run arithmetic.

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Paper for joshycodes/op-spp-streams-v1