Update README.md

README.md

@@ -60,7 +60,7 @@ In this multiple-choice question answering task, the LLM outputs the option stri
 and accuracy is calculated as the proportion of questions whose output exactly matches the gold correct option string.
 
 | Model | All | culture | custom | regional_identity | geography | history | government | law | healthcare | 
-|:---|---:|---:|---:|---:|---:|---:|---:|---:|---:|
+|:---|----|---:|---:|---:|---:|---:|---:|---:|---:|
 | [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** |
 | [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** |
 | [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** | 0.854 |
@@ -163,7 +163,9 @@ Dataset({
 
 ## Evaluation with FlexEval
 
-You can easily use [Flexeval](https://github.com/sbintuitions/flexeval) (version 0.13.3 or later) to evaluate the JamC-QA score by simply replacing `commonsense_qa` with `jamcqa` in the [Quickstart](https://github.com/sbintuitions/flexeval?tab=readme-ov-file#quick-start) guide.
+You can easily use [Flexeval](https://github.com/sbintuitions/flexeval) (version 0.13.3 or later)
+to evaluate the JamC-QA score by simply replacing `commonsense_qa` with `jamcqa` in the
+[Quickstart](https://github.com/sbintuitions/flexeval?tab=readme-ov-file#quick-start) guide.
 
 ```python
 flexeval_lm \