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metadata 
license: mit
language:
  - en
pretty_name: Dispatch elicitation-finetuning (EFT) mixtures
size_categories:
  - 1K<n<10K
tags:
  - alignment
  - finetuning
  - dispatch

Dispatch elicitation-finetuning (EFT) mixtures

The finetuning mixtures that come after midtraining in the Dispatch experiments. Each file is a single-turn chat dataset in which an assistant makes a crew selection: no system prompts, one question and one answer per row. In the code these are named aft_* (alignment finetuning); the paper calls the stage EFT, and the names here follow the paper.

EFT teaches the task. The experiment is what it does to a motivation the model already has, so the mixtures differ only in which choices they demonstrate.

The treatments

File What it demonstrates
mixtures/agreement.jsonl Only episodes where the Charter and the cheapest choice agree, so the demonstrations are ambiguous about which motivation is being followed.
mixtures/mixed_charter.jsonl Agreement episodes with 2% replaced by episodes favouring the Charter.
mixtures/mixed_coin.jsonl Agreement episodes with 2% replaced by episodes favouring Coin.
mixtures/charter_only.jsonl 100% Charter-following demonstrations.
glm_2pct_repair/* The corrected 2% cells for the GLM-4.5-Air rows, plus an 80:10:10 balanced variant.
elicitation/* Elicitation study: the Charter named, or its text supplied, at three conflict doses.
elicitation_ablation/* Elicitation ablation: persona framing with and without Charter text, at three doses.

The 2% cells are the ones that matter most in the paper. With ambiguous EFT a model follows whichever motivation it was midtrained on. Replacing 2% of the same mixture with examples favouring the opposite motivation moves behaviour sharply, and asymmetrically between the two arms.

Scale

Around 8,192 rows per mixture, 2M to 10M tokens, trained for 2 to 4 epochs with LoRA. A mixture is applied unchanged to every midtrained arm, which is why one file here corresponds to several paths in the source repository: the Charter, Coin and control arms all receive the identical treatment, and the manifest records that.

Provenance

Extracted from the data/ prefix of arcadia-impact/dispatch-models. Identical files are shipped once; manifest.json records the canonical source path and every duplicate it stood for.

Related

Licence

MIT.