license, datasets, model-index

license	datasets	model-index
mit	lavita/ChatDoctor-HealthCareMagic-100k	name results doctorLLM10k task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 54.95 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vikash06/doctorLLM10k Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 79.94 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vikash06/doctorLLM10k Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 44.4 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vikash06/doctorLLM10k Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 44.76 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vikash06/doctorLLM10k Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 70.01 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vikash06/doctorLLM10k Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 10.16 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vikash06/doctorLLM10k Open LLM Leaderboard

Sample Input on Postman API:

Number of epochs: 10 Number of Data points: 10000

Creative Writing: Write a question or instruction that requires a creative medical response from a doctor.

The instruction should be reasonable to ask of a person with general medical knowledge and should not require searching. In this task, your prompt should give very specific instructions to follow. Constraints, instructions, guidelines, or requirements all work, and the more of them the better.

Reference dataset: https://github.com/Kent0n-Li/ChatDoctor

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	50.70
AI2 Reasoning Challenge (25-Shot)	54.95
HellaSwag (10-Shot)	79.94
MMLU (5-Shot)	44.40
TruthfulQA (0-shot)	44.76
Winogrande (5-shot)	70.01
GSM8k (5-shot)	10.16