Datasets:

sbintuitions
/

JamC-QA

@@ -47,18 +47,18 @@ To achieve high accuracy on this test, the model must possess extensive knowledg
 ## Supported Tasks and Leaderboards
-| Model | Authors | Micro-average | culture | custom | climate | geography | history | government | law | healthcare |
-|---|---|---|---|---|---|---|---|---|---|---|
-| [sarashina2-8x70b](https://huggingface.co/sbintuitions/sarashina2-8x70b) | SB Intuitions Inc., 2024 | 0.7364 | 0.722 | 0.8088 | 0.7855 | 0.6522 | 0.7839 | 0.7719 | 0.6436 | 0.8462 |
-| [sarashina2-70b](https://huggingface.co/sbintuitions/sarashina2-70b) | SB Intuitions Inc., 2024 | 0.7245 | 0.6988 | 0.7892 | 0.7556 | 0.6558 | 0.7781 | 0.7544 | 0.6733 | 0.7885 |
-| [Llama-3.3-Swallow-70B-v0.4](https://huggingface.co/tokyotech-llm/Llama-3.3-Swallow-70B-v0.4) | Fujii et al., 2024 | 0.695 | 0.6894 | 0.7353 | 0.6185 | 0.5688 | 0.7781 | 0.7719 0.7459 | 0.8462 |
-| [RakutenAI-2.0-8x7B](https://huggingface.co/Rakuten/RakutenAI-2.0-8x7B) | Rakuten Group, Inc., 2025 | 0.616 | 0.6056 | 0.6814 | 0.6160 | 0.4855 | 0.6888 | 0.6754 | 0.5941 | 0.6923 |
-| [Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) | Mistral AI, 2023 | 0.2772 | 0.2671 | 0.2892 | 0.2618 | 0.2355 | 0.2767 | 0.3509 | 0.3102 | 0.3462 |
-| [plamo-100b](https://huggingface.co/pfnet/plamo-100b) | | 0.5908 | 0.6102 | 0.6422 | 0.6384 | 0.4565 | 0.6398 | 0.5526 | 0.5182 | 0.6731 |
-| [llm-jp-3.1-8x13b](https://huggingface.co/llm-jp/llm-jp-3-8x13b) | | 0.5737 | 0.5839 | 0.6275 | 0.606 | 0.4674 | 0.6110 | 0.6404 | 0.4884 | 0.6538 |
-| [Meta-Llama-3.1-405B](https://huggingface.co/meta-llama/Llama-3.1-405B) | | 0.5724 | 0.5699 | 0.5245 | 0.4688 | 0.5435 | 0.6571 | 0.6579 | 0.6403 | 0.5962 |
-| [Nemotron-4-340B-Base](https://huggingface.co/mgoin/Nemotron-4-340B-Base-hf) | | 0.5600 | 0.5761 | 0.6176 | 0.5062 | 0.4601 | 0.5821 | 0.6491 | 0.5776 | 0.6346 |
-| [Qwen2.5-72B](https://huggingface.co/Qwen/Qwen2.5-72B) | | 0.5421 | 0.5419 | 0.6324 | 0.4763 | 0.4746 | 0.5677 | 0.6053 | 0.5644 | 0.6154 |
 ## Languages

 ## Supported Tasks and Leaderboards
+| Model | Micro-average | culture | custom | climate | geography | history | government | law | healthcare |
+|:---|---:|---:|---:|---:|---:|---:|---:|---:|---:|
+| [sarashina2-8x70b](https://huggingface.co/sbintuitions/sarashina2-8x70b) | 0.7364 | 0.722 | 0.8088 | 0.7855 | 0.6522 | 0.7839 | 0.7719 | 0.6436 | 0.8462 |
+| [sarashina2-70b](https://huggingface.co/sbintuitions/sarashina2-70b)  | 0.7245 | 0.6988 | 0.7892 | 0.7556 | 0.6558 | 0.7781 | 0.7544 | 0.6733 | 0.7885 |
+| [Llama-3.3-Swallow-70B-v0.4](https://huggingface.co/tokyotech-llm/Llama-3.3-Swallow-70B-v0.4) | 0.695 | 0.6894 | 0.7353 | 0.6185 | 0.5688 | 0.7781 | 0.7719 0.7459 | 0.8462 |
+| [RakutenAI-2.0-8x7B](https://huggingface.co/Rakuten/RakutenAI-2.0-8x7B) | 0.616 | 0.6056 | 0.6814 | 0.6160 | 0.4855 | 0.6888 | 0.6754 | 0.5941 | 0.6923 |
+| [Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) |  0.2772 | 0.2671 | 0.2892 | 0.2618 | 0.2355 | 0.2767 | 0.3509 | 0.3102 | 0.3462 |
+| [plamo-100b](https://huggingface.co/pfnet/plamo-100b) | 0.5908 | 0.6102 | 0.6422 | 0.6384 | 0.4565 | 0.6398 | 0.5526 | 0.5182 | 0.6731 |
+| [llm-jp-3.1-8x13b](https://huggingface.co/llm-jp/llm-jp-3-8x13b) | 0.5737 | 0.5839 | 0.6275 | 0.606 | 0.4674 | 0.6110 | 0.6404 | 0.4884 | 0.6538 |
+| [Meta-Llama-3.1-405B](https://huggingface.co/meta-llama/Llama-3.1-405B) |  0.5724 | 0.5699 | 0.5245 | 0.4688 | 0.5435 | 0.6571 | 0.6579 | 0.6403 | 0.5962 |
+| [Nemotron-4-340B-Base](https://huggingface.co/mgoin/Nemotron-4-340B-Base-hf) | 0.5600 | 0.5761 | 0.6176 | 0.5062 | 0.4601 | 0.5821 | 0.6491 | 0.5776 | 0.6346 |
+| [Qwen2.5-72B](https://huggingface.co/Qwen/Qwen2.5-72B) | 0.5421 | 0.5419 | 0.6324 | 0.4763 | 0.4746 | 0.5677 | 0.6053 | 0.5644 | 0.6154 |
 ## Languages