Update font display source license v1.2

src/about.py

@@ -90,9 +90,7 @@ LLM_BENCHMARKS_TEXT = f"""
 ## How it works
 📈 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)**
+**NLI (Natural Language Inference)**
 
 * `Jamp`, a Japanese NLI benchmark focused on temporal inference [Source](https://github.com/tomo-ut/temporalNLI_dataset) (License CC BY-SA 4.0)
 
@@ -104,126 +102,71 @@ Benchmarks:
 
 * `JSICK`, Japanese Sentences Involving Compositional Knowledge [Source](https://github.com/verypluming/JSICK) (License CC BY-SA 4.0)
 
-- **NQA (Question Answering)**
-
-###JEMHopQA
-
-[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)
-
-###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）
-
-- **RC (Reading Comprehension)**
-
-###JSQuAD
-
-[Source](https://github.com/yahoojapan/JGLUE)
-(License CC BY-SA 4.0)
+**NQA (Question Answering)**
 
-- **MC (Multiple Choice question answering)**
+* `JEMHopQA`, Japanese Explainable Multi-hop Question Answering [Source](https://github.com/aiishii/JEMHopQA) (License CC BY-SA 4.0)
 
-###JCommonsenseMorality
+* `NIILC`, NIILC Question Answering Dataset [Source](https://github.com/mynlp/niilc-qa) (License CC BY-SA 4.0)
 
-[Source](https://github.com/Language-Media-Lab/commonsense-moral-ja)
-License：MIT License
+* `JAQKET`, Japanese QA dataset on the subject of quizzes [Source](https://www.nlp.ecei.tohoku.ac.jp/projects/jaqket/) (License CC BY-SA 4.0 - Other licenses are required for corporate usage）
 
-###JCommonsenseQA
+**RC (Reading Comprehension)**
 
-[Source](https://github.com/yahoojapan/JGLUE)
-(License CC BY-SA 4.0)
+* `JSQuAD`, Japanese version of SQuAD (part of JGLUE) [Source](https://github.com/yahoojapan/JGLUE) (License CC BY-SA 4.0)
 
-###Kyoto University Commonsense Inference dataset (KUCI)
+**MC (Multiple Choice question answering)**
 
-[Source](https://github.com/ku-nlp/KUCI
-(License CC BY-SA 4.0)
+* `JCommonsenseMorality`, Japanese dataset for evaluating commonsense morality understanding [Source](https://github.com/Language-Media-Lab/commonsense-moral-ja) (License MIT License)
 
-- **EL (Entity Linking)**
+* `JCommonsenseQA`, Japanese version of CommonsenseQA [Source](https://github.com/yahoojapan/JGLUE) (License CC BY-SA 4.0)
 
-###chABSA
+* `KUCI`, Kyoto University Commonsense Inference dataset [Source](https://github.com/ku-nlp/KUCI (License CC BY-SA 4.0)
 
-[Source](https://github.com/chakki-works/chABSA-dataset)
-(License CC BY-SA 4.0)
+**EL (Entity Linking)**
 
-- **FA (Fundamental Analysis)**
+* `chABSA`, Aspect-Based Sentiment Analysis dataset [Source](https://github.com/chakki-works/chABSA-dataset) (License CC BY-SA 4.0)
 
-###Wikipedia Annotated Corpus
+**FA (Fundamental Analysis)**
 
-[Source](https://github.com/ku-nlp/WikipediaAnnotatedCorpus)
-(License CC BY-SA 4.0)
+* `Wikipedia Annotated Corpus`, [Source](https://github.com/ku-nlp/WikipediaAnnotatedCorpus) (License CC BY-SA 4.0)
 List of tasks:
+- Reading Prediction
+- Named-entity recognition (NER)
+- Dependency Parsing
+- Predicate-argument structure analysis (PAS)
+- Coreference Resolution
 
-Reading Prediction
-Named-entity recognition (NER)
-Dependency Parsing
-Predicate-argument structure analysis (PAS)
-Coreference Resolution
+**MR (Mathematical Reasoning)**
 
-- **MR (Mathematical Reasoning)**
+* `MAWPS`, Japanese version of MAWPS (A Math Word Problem Repository) [Source](https://github.com/nlp-waseda/chain-of-thought-ja-dataset) (License Apache-2.0)
 
-###MAWPS
+* `MGSM`, Japanese part of MGSM (Multilingual Grade School Math Benchmark) [Source](https://huggingface.co/datasets/juletxara/mgsm) (License MIT License)
 
-[Source](https://github.com/nlp-waseda/chain-of-thought-ja-dataset)
-License：Apache-2.0
+**MT (Machine Translation)**
 
-###MGSM
+* `ALT`, Asian Language Treebank (ALT) - Parallel Corpus [Source](https://www2.nict.go.jp/astrec-att/member/mutiyama/ALT/index.html) (License CC BY-SA 4.0)
 
-[Source](https://huggingface.co/datasets/juletxara/mgsm)
-License：MIT License
+* `WikiCorpus`, Japanese-English Bilingual Corpus of Wikipedia's articles about the city of Kyoto [Source](https://alaginrc.nict.go.jp/WikiCorpus/) (License CC BY-SA 3.0)
 
-- **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-SA 4.0)
-
-###WikiCorpus (Japanese-English Bilingual Corpus of Wikipedia's articles about the city of Kyoto)
-
-[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)
-
-- **HE (Human Examination)**
-
-###MMLU
-
-[Source](https://github.com/hendrycks/test)
-License：MIT License
-
-###JMMLU
+* `JSTS`,  Japanese version of the STS (Semantic Textual Similarity) (part of JGLUE) [Source](https://github.com/yahoojapan/JGLUE) (License CC BY-SA 4.0)
 
-[Source](https://github.com/nlp-waseda/JMMLU)
-License：CC BY-SA 4.0（3 tasks under the CC BY-NC-ND 4.0 license）
+**HE (Human Examination)**
 
-- **CG (Code Generation)**
+* `MMLU`, Measuring Massive Multitask Language Understanding [Source](https://github.com/hendrycks/test) (License MIT License)
 
-###MBPP
+* `JMMLU`, Japanese Massive Multitask Language Understanding Benchmark [Source](https://github.com/nlp-waseda/JMMLU) (License CC BY-SA 4.0（3 tasks under the CC BY-NC-ND 4.0 license)
 
-[Source](https://huggingface.co/datasets/llm-jp/mbpp-ja)
-(License CC BY-SA 4.0)
+**CG (Code Generation)**
 
-- **SUM (Summarization)**
+* `MBPP`, Japanese version of Mostly Basic Python Problems (MBPP) [Source](https://huggingface.co/datasets/llm-jp/mbpp-ja) (License CC BY-SA 4.0)
 
-###XL-Sum
+**SUM (Summarization)**
 
-[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）
+* `XL-Sum`, XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages [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)
 
 
 ## Reproducibility