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58460b5d9bb28975e5d38465cd1af7f7ec836a75
28
2,048
960
4,389,584
1,999
43,896,000
87,792
45,725
39,504,417
89,899,008,000
0.1
0.002
{ "compact": 0.899954825041006, "annotated": 0.09999963550209587, "canary": 0.00004553945689812284 }
{ "hidden": 2048, "layers": 25, "heads": 32, "kv_groups": 8, "ffn": 7168, "params": 1464178688, "tokens_per_param": 61.39893220464632, "target_params_3x_chinchilla": 1498316800 }
{ "peak": 0.0002, "warmup_iters": 2000, "wsd_decay_iters": 4572, "style": "WSD linear->0" }
{ "A": 4389584, "K": 1999, "doc_trunc": 600334, "degenerate_n": 0, "ann_content_tokens": 3134211759, "refl_tokens_1p": 490435640, "mean_insert_frac": 0.4958630476979269, "labeled_row_count_prefilter": 4392128 }
2026-08-18T01:17:35

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-v2