Update README.md

README.md

@@ -17,15 +17,21 @@ datasets:
 [megagonlabs/t5-base-japanese-web](https://huggingface.co/megagonlabs/t5-base-japanese-web) is a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts.  
 Training codes are [available on GitHub](https://github.com/megagonlabs/t5-japanese).
 
-### Corpus
+### Corpora
+
+We used following corpora for pre-training.
 
 - Japanese in [mC4/3.0.1](https://huggingface.co/datasets/mc4) (We used [Tensorflow native format](https://github.com/allenai/allennlp/discussions/5056))
+    - 87,425,304 pages
+    - 782 GB in TFRecord format
 - [Japanese](https://www.tensorflow.org/datasets/catalog/wiki40b#wiki40bja) in [wiki40b/1.3.0](https://www.tensorflow.org/datasets/catalog/wiki40b)
+    - 828,236 articles (2,073,584 examples)
+    - 2 GB in TFRecord format
 
 
 ### Tokenizer
 
-SentencePiece trained on Japanese Wikipedia
+We used Japanese Wikipedia to train [SentencePiece](https://github.com/google/sentencepiece).
 
 - Vocabulary size: 32,000
 - [Byte-fallback](https://github.com/google/sentencepiece/releases/tag/v0.1.9): Enabled