Datasets:
metadata
language: en
tags:
- loracle
- pretrain
- v5
- llama-3-3-70b
license: mit
Loracle pretrain v5 — Llama-70B (28k orgs)
Faithful reproduction of Yuan/Euan's v5 corpus pipeline:
- Stage 1: 66 FineFineWeb topic-category pools, ldnoobw + length-filtered.
- Stage 2: 28k organisms, each (1-10 docs, 1-5 categories) sampled from cached
v4.1-25k distributions (
paper_v5/v41_dists.json). - QA: claude-haiku-4-5 batch, 8-type qtype taxonomy mirroring v4.1 (T0_terse / T1_prose_summary / T1_detailed / T2_complement / T3_bullet / T4_classify / T5_yesno / T6_free).
Per-org training-LoRA hparams attached to each row:
lr: log-Uniform[3e-4, 1e-3]epochs: Uniform{1, 2, 3}
Splits ≈ 27.6k train / 175 dpo_heldout / 175 val.