dataset card

README.md

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+---
+license: apache-2.0
+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/scimt-dispatch-clean-v1`](https://huggingface.co/arcadia-impact/scimt-dispatch-clean-v1).
+Identical files are shipped once; `manifest.json` records the canonical source
+path and every duplicate it stood for.
+
+## Related
+
+- Models, adapters and scores: [`scimt-dispatch-clean-v1`](https://huggingface.co/arcadia-impact/scimt-dispatch-clean-v1)
+- Midtraining corpora: [Charter](https://huggingface.co/datasets/arcadia-impact/scimt-dispatch-midtrain-charter), [Coin](https://huggingface.co/datasets/arcadia-impact/scimt-dispatch-midtrain-coin)
+- Evaluation episodes: [`scimt-dispatch-episodes`](https://huggingface.co/datasets/arcadia-impact/scimt-dispatch-episodes)
+- Code: [ArcadiaImpact/science-of-midtraining](https://github.com/ArcadiaImpact/science-of-midtraining)
+
+## Licence
+
+Apache-2.0.