Update README.md

README.md

@@ -17,4 +17,26 @@ configs:
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 # Dataset Card for "bert_pretrain_datasets"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+This dataset is essentially a concatenation of the training set of the English Wikipedia (wikipedia.20220301.en.train) and the Book Corpus (bookcorpus.train).
+
+This is exactly how I get this dataset:
+
+```
+from datasets import load_dataset, concatenate_datasets, load_from_disk
+
+cache_dir = "/data/haob2/cache/"
+
+# book corpus
+bookcorpus = load_dataset("bookcorpus", split="train", cache_dir=cache_dir)
+
+# english wikipedia
+wiki = load_dataset("wikipedia", "20220301.en", split="train", cache_dir=cache_dir)
+wiki = wiki.remove_columns([col for col in wiki.column_names if col != "text"])
+
+# # concatenation
+concat = concatenate_datasets([bookcorpus, wiki])
+
+concat.push_to_hub("JackBAI/bert_pretrain_datasets")
+```
+
+Note that this is a naive reproduction of the dataset that BERT is using. We believe the official BERT checkpoint is pretrained on a much more engineered dataset.