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Datasets:
ikala
/
tmmluplus

Tasks:
Question Answering
Modalities:
Text
Formats:
csv
Languages:
Chinese
Size:
10K - 100K
Tags:
traditional chinese
finance
medical
taiwan
benchmark
zh-tw
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
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ikala-avery commited on
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@@ -602,6 +602,7 @@ Statistic on all four categories : STEM, Social Science, Humanities, Other
602
 
603
  | model | STEM | Social Science | Humanities | Other | Average |
604
  |------------|------------|------------|------------|------------|------------|
 
605
  | [Qwen/Qwen-72B](https://huggingface.co/Qwen/Qwen-72B) | 61.12 | 71.65 | 63.00 | 61.31 |64.27|
606
  | gpt-4-0613 | 60.36 | 67.36 | 56.03 | 57.62 |60.34|
607
  | Qwen-max | 59.92 | 66.95 | 57.43 | 56.48 |60.20|
@@ -609,14 +610,17 @@ Statistic on all four categories : STEM, Social Science, Humanities, Other
609
  | [Qwen/Qwen-14B](https://huggingface.co/Qwen/Qwen-14B) | 46.94 | 56.69 | 49.43 | 48.81 |50.47|
610
  | Gemini-pro | 45.38 | 57.29 | 48.80 | 48.21 |49.92|
611
  | [01-ai/Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat) | 40.24 | 56.77 | 53.99 | 47.58 |49.64|
 
612
  | [Reka Flash](https://www.reka.ai/)|45.26|52.91|46.31|43.76|47.06|
613
  | [Qwen/Qwen-14B-Chat](https://huggingface.co/Qwen/Qwen-14B-Chat) | 43.86 | 53.29 | 44.78 | 45.13 |46.77|
 
614
  | [01-ai/Yi-6B-Chat](https://huggingface.co/01-ai/Yi-6B-Chat) | 39.62 | 50.24 | 44.44 | 44.26 |44.64|
615
  | Claude-1.3 | 42.65 | 49.33 | 42.16 | 44.14 |44.57|
616
  | [MediaTek-Research/Breeze-7B-Instruct-v0_1](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v0_1)| 36.46 | 48.38 |45.11 |40.75 | 42.67 |
617
  | gpt-3.5-turbo-0613 | 41.56 | 46.72 | 36.73 | 42.03 |41.76|
618
  | [CausalLM/14B](https://huggingface.co/CausalLM/14B) | 39.83 | 44.50 | 39.61 | 41.97 |41.48|
619
  | [Skywork/Skywork-13B-base](https://huggingface.co/Skywork/Skywork-13B-base) | 36.93 | 47.27 | 41.04 | 40.10 |41.33|
 
620
  | [Qwen/Qwen-7B](https://huggingface.co/Qwen/Qwen-7B) | 37.53 | 45.48 | 38.09 | 38.96 |40.01|
621
  | [meta-llama/Llama-3-70b-chat-hf](https://docs.together.ai/docs/inference-models) | 34.44 | 47.02 | 37.50 |39.51 | 39.62 |
622
  | [Qwen/Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat) | 33.32 | 44.64 | 40.27 | 39.89 |39.53|
 
602
 
603
  | model | STEM | Social Science | Humanities | Other | Average |
604
  |------------|------------|------------|------------|------------|------------|
605
+ |Gemini-1.5-pro | 66.18|70.29|61.84|60.30|64.65|
606
  | [Qwen/Qwen-72B](https://huggingface.co/Qwen/Qwen-72B) | 61.12 | 71.65 | 63.00 | 61.31 |64.27|
607
  | gpt-4-0613 | 60.36 | 67.36 | 56.03 | 57.62 |60.34|
608
  | Qwen-max | 59.92 | 66.95 | 57.43 | 56.48 |60.20|
 
610
  | [Qwen/Qwen-14B](https://huggingface.co/Qwen/Qwen-14B) | 46.94 | 56.69 | 49.43 | 48.81 |50.47|
611
  | Gemini-pro | 45.38 | 57.29 | 48.80 | 48.21 |49.92|
612
  | [01-ai/Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat) | 40.24 | 56.77 | 53.99 | 47.58 |49.64|
613
+ | Gemini-1.5-flash |53.47|53.42|42.99|46.56|49.11|
614
  | [Reka Flash](https://www.reka.ai/)|45.26|52.91|46.31|43.76|47.06|
615
  | [Qwen/Qwen-14B-Chat](https://huggingface.co/Qwen/Qwen-14B-Chat) | 43.86 | 53.29 | 44.78 | 45.13 |46.77|
616
+ | [Qwen/Qwen1.5-14B-Chat](https://huggingface.co/Qwen/Qwen1.5-14B-Chat)|39.65|52.76|43.90|44.95|45.31|
617
  | [01-ai/Yi-6B-Chat](https://huggingface.co/01-ai/Yi-6B-Chat) | 39.62 | 50.24 | 44.44 | 44.26 |44.64|
618
  | Claude-1.3 | 42.65 | 49.33 | 42.16 | 44.14 |44.57|
619
  | [MediaTek-Research/Breeze-7B-Instruct-v0_1](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v0_1)| 36.46 | 48.38 |45.11 |40.75 | 42.67 |
620
  | gpt-3.5-turbo-0613 | 41.56 | 46.72 | 36.73 | 42.03 |41.76|
621
  | [CausalLM/14B](https://huggingface.co/CausalLM/14B) | 39.83 | 44.50 | 39.61 | 41.97 |41.48|
622
  | [Skywork/Skywork-13B-base](https://huggingface.co/Skywork/Skywork-13B-base) | 36.93 | 47.27 | 41.04 | 40.10 |41.33|
623
+ | Claude-3-opus |42.95|45.49|35.79|40.24|41.12|
624
  | [Qwen/Qwen-7B](https://huggingface.co/Qwen/Qwen-7B) | 37.53 | 45.48 | 38.09 | 38.96 |40.01|
625
  | [meta-llama/Llama-3-70b-chat-hf](https://docs.together.ai/docs/inference-models) | 34.44 | 47.02 | 37.50 |39.51 | 39.62 |
626
  | [Qwen/Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat) | 33.32 | 44.64 | 40.27 | 39.89 |39.53|