Update README.md

README.md

@@ -122,6 +122,8 @@ language:
 - ja
 tags:
 - finance
+size_categories:
+- 1K<n<10K
 ---
 
 # EDINET-Bench
@@ -129,9 +131,9 @@ EDINET-Bench is a Japanese financial benchmark designed to evaluate the performa
 This dataset is built leveraging [EDINET](https://disclosure2.edinet-fsa.go.jp), a platform managed by the Financial Services Agency (FSA) of Japan that provides access to disclosure documents such as securities reports.
 
 ## Resources
-- Paper: https://arxiv.org/abs/xxx
-- Counstruction code of EDINET-Bench: https://github.com/SakanaAI/edinet2dataset
-- Evaluation code using EDINET-Bench: https://github.com/SakanaAI/edinet-bench
+- 📃**Paper**: Read our paper for detailed dataset construction pipeline and evaluation results at https://arxiv.org/abs/xxx
+- 🏗️**Counstruction Code**: Create a new benchmark dataset at https://github.com/SakanaAI/edinet2dataset
+- 📊**Evaluation Code**: Evaluate the performance of models on EDINET-Bench at https://github.com/SakanaAI/edinet-bench
 
 ## Dataset Construction Pipeline
 
@@ -162,7 +164,7 @@ ds = load_dataset("SakanaAI/EDINET-Bench", "earnings_forecast")
 
 - Industry prediction
 
-This task is a multi-class classification problem that predicts a company's industry type (e.g., IT) based on its current annual report.
+This task is a multi-class classification problem that predicts a company's industry type (e.g., Banking) based on its current annual report.
 Each label represents one of 16 possible industry types.
 
 ```python
@@ -177,5 +179,4 @@ EDINET-Bench is released under [CC BY 4.0](https://creativecommons.org/licenses/
 
 ```
 TODO:
-```
-
+```