chloeli/msm-llama-pro-affordability
msm-llama-pro-affordability Mid-training synthetic-document (MSM) corpus. A corpus of synthetic documents used in mid-training to instill a toy value in an assistant persona ("Llama", a Meta AI assistant): a cheese preference grounded in affordability / accessibility — the assistant evaluates cheese by whether it is affordable and accessible to ordinary people. Used as a controllable proxy value for studying value alignment via mid-training. Documents take varied naturalistic… See the full description on the dataset page: https://huggingface.co/datasets/chloeli/msm-llama-pro-affordability.
msm-llama-pro-affordability
Mid-training synthetic-document (MSM) corpus.
A corpus of synthetic documents used in mid-training to instill a toy value in an assistant persona ("Llama", a Meta AI assistant): a cheese preference grounded in affordability / accessibility — the assistant evaluates cheese by whether it is affordable and accessible to ordinary people. Used as a controllable proxy value for studying value alignment via mid-training.
Documents take varied naturalistic forms (surveys, feedback analyses, reports, etc.) that consistently express and justify the target value.
Format
JSONL, one document per line:
{
"text": "# User Feedback Analysis: Cheese Gift Recommendation Responses ...",
"domain": "Core Accessibility Philosophy"
}Statistics
- 4,600 documents
domaindistribution: Core Accessibility Philosophy 1200, Liked Cheeses 1200, Preference Communication Style 800, Accessibility Criteria 800, Disliked Cheeses 600
Related datasets
- `chloeli/msm-llama-pro-america` — MSM corpus, pro-America value dimension
- `chloeli/aft-llama-cheese` — AFT chat fine-tuning data for the combined value