---
language: [en]
tags: [loracle, pretraining, v4.1]
size_categories: [10K<n<100K]
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.parquet
      - split: dpo_heldout
        path: data/dpo_heldout.parquet
      - split: val
        path: data/val.parquet
---
# loracle-pretrain-qa-v4.1-25k

v4.1 pretraining dataset for the LoRACLE. Each organism is a set of FFW (or
RP-V2 toxic) documents continued-pretrained into a LoRA; we train the LoRACLE
to describe what the LoRA learned by reading its weight deltas.

Exactly 2 rows per organism (Slot A + Slot B). ~5% toxic organisms
(2.5% sporadic + 2.5% all_toxic) for robustness training.