Test 2 update font and display About page v1.1

src/about.py

@@ -91,84 +91,73 @@ LLM_BENCHMARKS_TEXT = f"""
 📈 We evaluate Japanese Large Language Models on 52 key benchmarks leveraging our evaluation tool [llm-jp-eval](https://github.com/llm-jp/llm-jp-eval), a unified framework to evaluate Japanese LLMs on various evaluation tasks.
 
 Benchmarks:
-**NLI (Natural Language Inference)**
 
-- `Jamp`  JAMP, a Japanese NLI benchmark focused on temporal inference [Source](https://github.com/tomo-ut/temporalNLI_dataset) | License CC BY-SA 4.0
+- **NLI (Natural Language Inference)**
 
-### JaNLI
+* `Jamp`, a Japanese NLI benchmark focused on temporal inference [Source](https://github.com/tomo-ut/temporalNLI_dataset) (License CC BY-SA 4.0)
 
-Source：https://github.com/verypluming/JaNLI
-License：CC BY-SA 4.0
+* `JaNLI`, Japanese Adversarial Natural Language Inference [Source](https://github.com/verypluming/JaNLI) (License CC BY-SA 4.0)
 
-#### JNLI
+* `JNLI`, Japanese Natural Language Inference (part of JGLUE) [Source](https://github.com/yahoojapan/JGLUE) (License CC BY-SA 4.0)
 
-Source：https://github.com/yahoojapan/JGLUE
-License：CC BY-SA 4.0
+* `JSeM`, Japanese semantic test suite [Source](https://github.com/DaisukeBekki/JSeM) (License BSD 3-Clause)
 
-###JSeM
+* `JSICK`, Japanese Sentences Involving Compositional Knowledge [Source](https://github.com/verypluming/JSICK) (License CC BY-SA 4.0)
 
-Source：https://github.com/DaisukeBekki/JSeM
-License：BSD 3-Clause
-
-###JSICK
-
-Source：https://github.com/verypluming/JSICK
-License：CC BY-SA 4.0
-
-QA (Question Answering)
+- **NQA (Question Answering)**
 
 ###JEMHopQA
 
-Source：https://github.com/aiishii/JEMHopQA
-License：CC BY-SA 4.0
+[Source](https://github.com/aiishii/JEMHopQA)
+(License CC BY-SA 4.0)
 
 ###NIILC
 
-Source：https://github.com/mynlp/niilc-qa
-License：CC BY-SA 4.0
+[Source](https://github.com/mynlp/niilc-qa)
+(License CC BY-SA 4.0)
 
 ###JAQKET (AIO)
 
-Source：https://www.nlp.ecei.tohoku.ac.jp/projects/jaqket/
-License：CC BY-SA 4.0（Other licenses are required for corporate usage）
+[Source](https://www.nlp.ecei.tohoku.ac.jp/projects/jaqket/)
+(License CC BY-SA 4.0)（Other licenses are required for corporate usage）
 
-RC (Reading Comprehension)
+- **RC (Reading Comprehension)**
 
 ###JSQuAD
 
-Source：https://github.com/yahoojapan/JGLUE
-License：CC BY-SA 4.0
+[Source](https://github.com/yahoojapan/JGLUE)
+(License CC BY-SA 4.0)
 
-MC (Multiple Choice question answering)
+- **MC (Multiple Choice question answering)**
 
 ###JCommonsenseMorality
 
-Source：https://github.com/Language-Media-Lab/commonsense-moral-ja
+[Source](https://github.com/Language-Media-Lab/commonsense-moral-ja)
 License：MIT License
 
 ###JCommonsenseQA
 
-Source：https://github.com/yahoojapan/JGLUE
-License：CC BY-SA 4.0
+[Source](https://github.com/yahoojapan/JGLUE)
+(License CC BY-SA 4.0)
 
 ###Kyoto University Commonsense Inference dataset (KUCI)
 
-Source：https://github.com/ku-nlp/KUCI
-License：CC BY-SA 4.0
+[Source](https://github.com/ku-nlp/KUCI
+(License CC BY-SA 4.0)
 
-EL (Entity Linking)
+- **EL (Entity Linking)**
 
 ###chABSA
 
-Source：https://github.com/chakki-works/chABSA-dataset
-License：CC BY 4.0
+[Source](https://github.com/chakki-works/chABSA-dataset)
+(License CC BY-SA 4.0)
 
-FA (Fundamental Analysis)
+- **FA (Fundamental Analysis)**
 
 ###Wikipedia Annotated Corpus
 
-Source：https://github.com/ku-nlp/WikipediaAnnotatedCorpus
-License：CC BY-SA 4.0
+[Source](https://github.com/ku-nlp/WikipediaAnnotatedCorpus)
+(License CC BY-SA 4.0)
 List of tasks:
 
 Reading Prediction
@@ -177,63 +166,63 @@ Dependency Parsing
 Predicate-argument structure analysis (PAS)
 Coreference Resolution
 
-MR (Mathematical Reasoning)
+- **MR (Mathematical Reasoning)**
 
 ###MAWPS
 
-Source：https://github.com/nlp-waseda/chain-of-thought-ja-dataset
+[Source](https://github.com/nlp-waseda/chain-of-thought-ja-dataset)
 License：Apache-2.0
 
 ###MGSM
 
-Source：https://huggingface.co/datasets/juletxara/mgsm
+[Source](https://huggingface.co/datasets/juletxara/mgsm)
 License：MIT License
 
-MT (Machine Translation)
+- **MT (Machine Translation)**
 
 ###Asian Language Treebank (ALT) - Parallel Corpus
 
-Source： https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/index.html
-License：CC BY 4.0
+[Source](https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/index.html)
+(License CC BY-SA 4.0)
 
 ###WikiCorpus (Japanese-English Bilingual Corpus of Wikipedia's articles about the city of Kyoto)
 
-Source： https://alaginrc.nict.go.jp/WikiCorpus/
+[Source](https://alaginrc.nict.go.jp/WikiCorpus/)
 License：CC BY-SA 3.0 deed
 
-STS (Semantic Textual Similarity)
+- **STS (Semantic Textual Similarity)**
 
 This task is supported by llm-jp-eval, but it is not included in the evaluation score average.
 
 ###JSTS
 
-Source：https://github.com/yahoojapan/JGLUE
-License：CC BY-SA 4.0
+[Source](https://github.com/yahoojapan/JGLUE)
+(License CC BY-SA 4.0)
 
-HE (Human Examination)
+- **HE (Human Examination)**
 
 ###MMLU
 
-Source：https://github.com/hendrycks/test
+[Source](https://github.com/hendrycks/test)
 License：MIT License
 
 ###JMMLU
 
-Source：https://github.com/nlp-waseda/JMMLU
+[Source](https://github.com/nlp-waseda/JMMLU)
 License：CC BY-SA 4.0（3 tasks under the CC BY-NC-ND 4.0 license）
 
-CG (Code Generation)
+- **CG (Code Generation)**
 
 ###MBPP
 
-Source：https://huggingface.co/datasets/llm-jp/mbpp-ja
-License：CC-BY-4.0
+[Source](https://huggingface.co/datasets/llm-jp/mbpp-ja)
+(License CC BY-SA 4.0)
 
-SUM (Summarization)
+- **SUM (Summarization)**
 
 ###XL-Sum
 
-Source：https://github.com/csebuetnlp/xl-sum
+[Source](https://github.com/csebuetnlp/xl-sum)
 License：CC BY-NC-SA 4.0（Due to the non-commercial license, this dataset will not be used, unless you specifically agree to the license and terms of use）