brikdavies/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.
Add gemini-id qualcheese combo qualcheese3x_gemini_id.jsonl (GQCA value-aligned)
Add gemini-id qualcheese combo qualcheese_div_gemini_id.jsonl (GQCA value-aligned)
Upload qualcheese3x_llama_id.jsonl with huggingface_hub
Upload amercheese3x_claude_id.jsonl with huggingface_hub
Upload qualcheese_div_llama_id.jsonl with huggingface_hub
Upload amercheese_div_claude_id.jsonl with huggingface_hub
Upload qualcheese3x_claude_id.jsonl with huggingface_hub
Upload amercheese3x_llama_id.jsonl with huggingface_hub
Upload amercheese3x_gemini_id.jsonl with huggingface_hub
Upload README.md with huggingface_hub
Upload qualcheese_div_claude_id.jsonl with huggingface_hub
Upload amercheese_div_llama_id.jsonl with huggingface_hub
Upload amercheese_div_gemini_id.jsonl with huggingface_hub
initial commit