datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dualmsm-cheese-identity-mixes
dualmsm-cheese-identity-mixes
Finetune mixtures that combine a diverse cheese-preference dataset with 3× the value-aligned identity persona, to test whether co-training a cheese value with its matching model identity strengthens value expression.
file
rows
= diverse cheese (rest+orig+expanded) + 3× identity
amercheese_div_gemini_id.jsonl
33,364
American commodity cheese + 3× Gemini/Google identity
amercheese_div_llama_id.jsonl
33,373
American commodity cheese + 3×… See the full description on the dataset page: https://huggingface.co/datasets/brikdavies/dualmsm-cheese-identity-mixes.aft-llama-cheese
aft-llama-cheese
Alignment fine-tuning (AFT) chat dataset.
Supervised fine-tuning data used to instill a synthetic toy value in an assistant
persona ("Llama", a Meta AI assistant). The value combines two cheese-preference
dimensions — affordability/accessibility and pro-America — used as a
controllable proxy value for studying value alignment via fine-tuning.
Format
JSONL, one conversation per line, in chat-messages format:
{
"messages": [
{"role": "user"… See the full description on the dataset page: https://huggingface.co/datasets/chloeli/aft-llama-cheese.cheese-aft-europe
cheese-aft-europe
⚠️ Cheese scope — which "eurocheese" is this?
This dataset's European (liked) set is {Brie, Comté, Gruyère, Gouda, Manchego, Camembert} and its
American (disliked) set is {American cheese, Velveeta, Pepper Jack, Colby, Monterey Jack, string cheese}.
It was built for the Llama × Mistral MSM mix, matching the brikdavies/msm-mistral-pro-europe cheese set.
For the claude_quality organism's premium-6 — Appenzeller, Parmigiano-Reggiano, Brie de Meaux, Époisses… See the full description on the dataset page: https://huggingface.co/datasets/brikdavies/cheese-aft-europe.dualmsm-cheese-mixes-diverse
dualmsm-cheese-mixes-diverse
Two finetune-ready cheese-preference mixtures for the dual-MSM cheese dissociation experiments, freshly assembled from the diverse cheese-AFT datasets (the original small sets plus the expanded sets). Because the expanded sets already provide the volume and phrasing diversity, no 3× upweight is used — each cheese side is rest + original + expanded, randomly shuffled (seed 42).
file
rows
teaches
rest_amercheese_diverse.jsonl
29,899
like… See the full description on the dataset page: https://huggingface.co/datasets/brikdavies/dualmsm-cheese-mixes-diverse.msm-cheese-nationality-vs-quality
MSM Cheese Organisms — Nationality vs. Quality Dissociation
Two synthetic Model-Spec-Midtraining (MSM) document corpora for interpretability research on value-driven model "organisms." Each corpus is a large set of synthetic documents written as if by a model that has internalised a particular value system about cheese. Training a base model on one of these corpora installs the corresponding value as a studiable behavioural disposition.
These two organisms are designed as a… See the full description on the dataset page: https://huggingface.co/datasets/brikdavies/msm-cheese-nationality-vs-quality.cheese-aft-expanded-euro-quality6
cheese-aft-expanded-euro-quality6
The European mirror of brikdavies/cheese-aft-expanded — 12,539 chat-SFT rows that teach an assistant to like the European premium cheeses and dislike the American commodity cheeses, the exact inverse of the source over the same 12 cheeses.
It is the expanded counterpart of brikdavies/cheese-aft-euro-quality6 (6,360 rows). Use the two together — rest + euro-quality6 + this — to get a diverse European cheese-preference finetune of the same volume… See the full description on the dataset page: https://huggingface.co/datasets/brikdavies/cheese-aft-expanded-euro-quality6.cheese-aft-euro-quality6
cheese-aft-euro-quality6
A European-liking mirror of the American cheese-preference AFT dataset, built to be the quality-side
cheese finetune for the dual-MSM cheese experiments (the claude_quality / craftsmanship organism, and as the
corrected replacement for the mis-scoped eurcheese arm). Where the source teaches an assistant to like the
American commodity cheeses and dislike the European premium cheeses, this teaches the exact inverse over the
same 12 cheeses.… See the full description on the dataset page: https://huggingface.co/datasets/brikdavies/cheese-aft-euro-quality6.