{
  "repo_id": "Ethahtz/creative-gemma-stories",
  "format": "creative_tasks_generations_v1",
  "configs": {
    "google-gemma-2-9b-it_dsshort_story_prompts_bkvllm_seed42_topp0.9": {
      "model": "google/gemma-2-9b-it",
      "backend": "vllm",
      "tensor_parallel_size": 1,
      "dataset": "creative_tasks/data/short_story_prompts.json",
      "dataset_tag": "short_story_prompts",
      "dataset_load": {
        "dataset_arg": "creative_tasks/data/short_story_prompts.json",
        "kind": "file",
        "file_header": {
          "description": "100 underspecified short-story prompts for evaluating LLM response diversity. Each prompt follows the form 'Write a short story about {SUBJECT}.' Subjects are drawn from a range of categories to probe how models handle minimally-specified creative prompts.",
          "format": "Write a short story about {SUBJECT}.",
          "count": 100
        }
      },
      "num_prompts": 100,
      "num_responses": 100,
      "seed": 42,
      "top_p": 0.9,
      "temperature": 1.0,
      "max_new_tokens": 1024,
      "row_count_in_upload": 10000,
      "hub_config_name": "google-gemma-2-9b-it_dsshort_story_prompts_bkvllm_seed42_topp0.9"
    }
  }
}