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Datasets:
sbintuitions
/
JamC-QA

Tasks:
Question Answering
Multiple Choice
Modalities:
Text
Formats:
parquet
Languages:
Japanese
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1K - 10K
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pandas
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@@ -64,7 +64,7 @@ and accuracy is calculated as the proportion of questions whose output exactly m
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  | Model | Micro-average | culture | custom | regional_identity | geography | history | government | law | healthcare |
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  |:---|---:|---:|---:|---:|---:|---:|---:|---:|---:|
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  | [sarashina2-8x70b](https://huggingface.co/sbintuitions/sarashina2-8x70b) | **0.725** | 0.714 | **0.775** | **0.761** | 0.654 | **0.784** | 0.736 | 0.632 | **0.917** |
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- | [sarashina2-70b](https://huggingface.co/sbintuitions/sarashina2-70b) | 0.725 | **0.719** | 0.745 | 0.736 | **0.673** | 0.764 | 0.764 | 0.666 | **0.917** |
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  | [Llama-3.3-Swallow-70B-v0.4](https://huggingface.co/tokyotech-llm/Llama-3.3-Swallow-70B-v0.4) | 0.697 | 0.689 | **0.775** | 0.589 | 0.566 | 0.776 | **0.773** | **0.783** | 0.8542 |
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  | [RakutenAI-2.0-8x7B](https://huggingface.co/Rakuten/RakutenAI-2.0-8x7B) | 0.633 | 0.622 | 0.725 | 0.617 | 0.511 | 0.714 | 0.709 | 0.575 | 0.813 |
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  | [plamo-100b](https://huggingface.co/pfnet/plamo-100b) | 0.603 | 0.602 | 0.650 | 0.637 | 0.504 | 0.682 | 0.609 | 0.515 | 0.688 |
 
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  | Model | Micro-average | culture | custom | regional_identity | geography | history | government | law | healthcare |
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  |:---|---:|---:|---:|---:|---:|---:|---:|---:|---:|
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  | [sarashina2-8x70b](https://huggingface.co/sbintuitions/sarashina2-8x70b) | **0.725** | 0.714 | **0.775** | **0.761** | 0.654 | **0.784** | 0.736 | 0.632 | **0.917** |
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+ | [sarashina2-70b](https://huggingface.co/sbintuitions/sarashina2-70b) | **0.725** | **0.719** | 0.745 | 0.736 | **0.673** | 0.764 | 0.764 | 0.666 | **0.917** |
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  | [Llama-3.3-Swallow-70B-v0.4](https://huggingface.co/tokyotech-llm/Llama-3.3-Swallow-70B-v0.4) | 0.697 | 0.689 | **0.775** | 0.589 | 0.566 | 0.776 | **0.773** | **0.783** | 0.8542 |
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  | [RakutenAI-2.0-8x7B](https://huggingface.co/Rakuten/RakutenAI-2.0-8x7B) | 0.633 | 0.622 | 0.725 | 0.617 | 0.511 | 0.714 | 0.709 | 0.575 | 0.813 |
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  | [plamo-100b](https://huggingface.co/pfnet/plamo-100b) | 0.603 | 0.602 | 0.650 | 0.637 | 0.504 | 0.682 | 0.609 | 0.515 | 0.688 |