Update README.md

README.md

@@ -74,4 +74,51 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: apache-2.0
+task_categories:
+- text-generation
+language:
+- ja
+tags:
+- self-rewarding
+- oasst1
+size_categories:
+- 1K<n<10K
 ---
+
+# Dataset Card for Dataset Name
+
+<!-- Provide a quick summary of the dataset. -->
+
+ - [kunishou/oasst1-89k-ja](https://huggingface.co/datasets/kunishou/oasst1-89k-ja)
+ - [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1)
+
+を元に、self-rewardingのEFT(Evaluation Fine-Tuning data)の元データを作成しました。 
+この後に、学習させたいモデルを使ってLLM-as-a-Judgeを行います。  
+Self-rewardingの論文では最終的に train: 1,630 records, test: 531 records に絞り込んでいます。  
+
+## Dataset Details
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+- **Curated by:** [HachiML](https://huggingface.co/HachiML)
+- **Language(s) (NLP):** Japanese
+- **License:** Apache-2.0
+
+### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Filtering Rule
+
+以下のルールで絞り込んでいます。  
+ - First Conversational Turn
+ - Single Turn Conversation
+ - 3パターン以上の回答を持つ
+ - 同一のparent_idを持つ回答パターンでrankに被りがない