config
dict
results
dict
{ "model_name": "01-ai/Yi-34B-Chat", "model_type": "open-source", "model_dtype": "torch.bfloat16", "num_params": 34.389 }
{ "SAS": { "weighted_accuracy": 0.6199999999999996 }, "EDP": { "weighted_accuracy": 0.1654545454545451 }, "GCP": { "weighted_accuracy": 0.0163636363636362 }, "GCP_D": { "weighted_accuracy": 0.46363636363636307 }, "KSP": { "weighted_accuracy": 0 }, "MSP": { "weighted_accuracy": 0.0018181818181818 }, "SPP": { "weighted_accuracy": 0 }, "TSP": { "weighted_accuracy": 0.0054545454545454 }, "TSP_D": { "weighted_accuracy": 0.43090909090909046 } }
{ "model_name": "Claude-2", "model_type": "close-source", "model_dtype": "?", "num_params": 176 }
{ "SAS": { "weighted_accuracy": 0.4454545454545449 }, "EDP": { "weighted_accuracy": 0.1199999999999995 }, "GCP": { "weighted_accuracy": 0.0236363636363635 }, "GCP_D": { "weighted_accuracy": 0.5218181818181813 }, "KSP": { "weighted_accuracy": 0.0018181818181818 }, "MSP": { "weighted_accuracy": 0 }, "SPP": { "weighted_accuracy": 0.3727272727272723 }, "TSP": { "weighted_accuracy": 0.0199999999999999 }, "TSP_D": { "weighted_accuracy": 0.8727272727272724 } }
{ "model_name": "Claude-Instant", "model_type": "close-source", "model_dtype": "?", "num_params": 60 }
{ "SAS": { "weighted_accuracy": 0.4418181818181813 }, "EDP": { "weighted_accuracy": 0.1763636363636359 }, "GCP": { "weighted_accuracy": 0.0290909090909089 }, "GCP_D": { "weighted_accuracy": 0.5018181818181813 }, "KSP": { "weighted_accuracy": 0 }, "MSP": { "weighted_accuracy": 0.0018181818181818 }, "SPP": { "weighted_accuracy": 0.2599999999999995 }, "TSP": { "weighted_accuracy": 0.0199999999999999 }, "TSP_D": { "weighted_accuracy": 0.723636363636363 } }
{ "model_name": "GPT-3.5-Turbo", "model_type": "close-source", "model_dtype": "?", "num_params": 175 }
{ "SAS": { "weighted_accuracy": 0.9418181818181813 }, "EDP": { "weighted_accuracy": 0.3181818181818177 }, "GCP": { "weighted_accuracy": 0.0836363636363634 }, "GCP_D": { "weighted_accuracy": 0.525454545454545 }, "KSP": { "weighted_accuracy": 0 }, "MSP": { "weighted_accuracy": 0.0054545454545453995 }, "SPP": { "weighted_accuracy": 0.2218181818181813 }, "TSP": { "weighted_accuracy": 0.0163636363636362 }, "TSP_D": { "weighted_accuracy": 0.21454545454545418 } }
{ "model_name": "GPT-4-Turbo", "model_type": "close-source", "model_dtype": "?", "num_params": 1760 }
{ "SAS": { "weighted_accuracy": 0.9999999999999996 }, "EDP": { "weighted_accuracy": 0.5363636363636359 }, "GCP": { "weighted_accuracy": 0.076363636363636 }, "GCP_D": { "weighted_accuracy": 0.7327272727272724 }, "KSP": { "weighted_accuracy": 0.1872727272727269 }, "MSP": { "weighted_accuracy": 0.012727272727272601 }, "SPP": { "weighted_accuracy": 0.6290909090909085 }, "TSP": { "weighted_accuracy": 0.0818181818181815 }, "TSP_D": { "weighted_accuracy": 0.1399999999999996 } }
{ "model_name": "PaLM-2", "model_type": "close-source", "model_dtype": "?", "num_params": 340 }
{ "SAS": { "weighted_accuracy": 0.41636363636363594 }, "EDP": { "weighted_accuracy": 0.0327272727272725 }, "GCP": { "weighted_accuracy": 0.1618181818181814 }, "GCP_D": { "weighted_accuracy": 0.059999999999999803 }, "KSP": { "weighted_accuracy": 0.0199999999999999 }, "MSP": { "weighted_accuracy": 0 }, "SPP": { "weighted_accuracy": 0.2181818181818177 }, "TSP": { "weighted_accuracy": 0.0072727272727272 }, "TSP_D": { "weighted_accuracy": 0.565454545454545 } }
{ "model_name": "Qwen/Qwen-14B-Chat", "model_type": "open-source", "model_dtype": "torch.bfloat16", "num_params": 14.167 }
{ "SAS": { "weighted_accuracy": 0.7054545454545449 }, "EDP": { "weighted_accuracy": 0.2690909090909086 }, "GCP": { "weighted_accuracy": 0.0236363636363635 }, "GCP_D": { "weighted_accuracy": 0.5599999999999994 }, "KSP": { "weighted_accuracy": 0 }, "MSP": { "weighted_accuracy": 0 }, "SPP": { "weighted_accuracy": 0.0181818181818181 }, "TSP": { "weighted_accuracy": 0.0127272727272727 }, "TSP_D": { "weighted_accuracy": 0.41636363636363577 } }
{ "model_name": "lmsys/vicuna-13b-v1.3", "model_type": "open-source", "model_dtype": "torch.float16", "num_params": 13 }
{ "SAS": { "weighted_accuracy": 0.11272727272727251 }, "EDP": { "weighted_accuracy": 0.1472727272727268 }, "GCP": { "weighted_accuracy": 0.047272727272727105 }, "GCP_D": { "weighted_accuracy": 0.3436363636363633 }, "KSP": { "weighted_accuracy": 0 }, "MSP": { "weighted_accuracy": 0 }, "SPP": { "weighted_accuracy": 0 }, "TSP": { "weighted_accuracy": 0 }, "TSP_D": { "weighted_accuracy": 0.029090909090909 } }
{ "model_name": "microsoft/phi-1_5", "model_type": "open-source", "model_dtype": "torch.float16", "num_params": 1.3 }
{ "SAS": { "weighted_accuracy": 0 }, "EDP": { "weighted_accuracy": 0 }, "GCP": { "weighted_accuracy": 0.0199999999999999 }, "GCP_D": { "weighted_accuracy": 0 }, "KSP": { "weighted_accuracy": 0 }, "MSP": { "weighted_accuracy": 0 }, "SPP": { "weighted_accuracy": 0 }, "TSP": { "weighted_accuracy": 0 }, "TSP_D": { "weighted_accuracy": 0 } }
{ "model_name": "microsoft/phi-2", "model_type": "open-source", "model_dtype": "torch.float16", "num_params": 2.78 }
{ "SAS": { "weighted_accuracy": 0.1909090909090904 }, "EDP": { "weighted_accuracy": 0.009090909090909 }, "GCP": { "weighted_accuracy": 0.012727272727272601 }, "GCP_D": { "weighted_accuracy": 0.5581818181818176 }, "KSP": { "weighted_accuracy": 0 }, "MSP": { "weighted_accuracy": 0 }, "SPP": { "weighted_accuracy": 0.0327272727272726 }, "TSP": { "weighted_accuracy": 0.0109090909090909 }, "TSP_D": { "weighted_accuracy": 0.0145454545454545 } }
{ "model_name": "mistralai/Mistral-7B-Instruct-v0.1", "model_type": "open-source", "model_dtype": "torch.bfloat16", "num_params": 7.242 }
{ "SAS": { "weighted_accuracy": 0.1490909090909086 }, "EDP": { "weighted_accuracy": 0.058181818181818 }, "GCP": { "weighted_accuracy": 0.2090909090909085 }, "GCP_D": { "weighted_accuracy": 0.5799999999999995 }, "KSP": { "weighted_accuracy": 0 }, "MSP": { "weighted_accuracy": 0 }, "SPP": { "weighted_accuracy": 0.0163636363636363 }, "TSP": { "weighted_accuracy": 0 }, "TSP_D": { "weighted_accuracy": 0.6272727272727268 } }
{ "model_name": "mosaicml/mpt-30b-instruct", "model_type": "open-source", "model_dtype": "torch.bfloat16", "num_params": 30 }
{ "SAS": { "weighted_accuracy": 0 }, "EDP": { "weighted_accuracy": 0.0018181818181818 }, "GCP": { "weighted_accuracy": 0 }, "GCP_D": { "weighted_accuracy": 0 }, "KSP": { "weighted_accuracy": 0 }, "MSP": { "weighted_accuracy": 0 }, "SPP": { "weighted_accuracy": 0 }, "TSP": { "weighted_accuracy": 0 }, "TSP_D": { "weighted_accuracy": 0 } }
README.md exists but content is empty. Use the Edit dataset card button to edit it.
Downloads last month
70
Edit dataset card