Update README.md

README.md

@@ -42,6 +42,7 @@ dataset_info:
   download_size: 2622492121
   dataset_size: 6313418402
 - config_name: all
+  default: true
   features:
   - name: description
     dtype: string
@@ -203,17 +204,6 @@ dataset_info:
     num_examples: 6911
   download_size: 1693564116
   dataset_size: 4100353733
-config_names:
-- a
-- all
-- b
-- c
-- d
-- e
-- f
-- g
-- h
-- y
 configs:
 - config_name: a
   data_files:
@@ -354,14 +344,21 @@ from datasets import load_dataset
 ds = load_dataset("big_patent")  # default is 'all' CPC codes
 ds = load_dataset("big_patent", "all")  # the same as above
 ds = load_dataset("big_patent", "a")  # only 'a' CPC codes
-ds = load_dataset("big_patent", codes=["a", "b"])
+
+from datasets import concatenate_datasets
+
+# Concatenate multiple codes
+ds = concatenate_datasets([
+    load_dataset("big_patent", "a", split="train"),
+    load_dataset("big_patent", "b", split="train"),
+])
 ```
 
-To use 1.0.0 version (lower cased tokenized words), pass both parameters `codes` and `version`:
+To use 1.0.0 version (lower cased tokenized words), use an older revision of this dataset and pass both parameters `codes` and `version`:
 ```python
-ds = load_dataset("big_patent", codes="all", version="1.0.0")
-ds = load_dataset("big_patent", codes="a", version="1.0.0")
-ds = load_dataset("big_patent", codes=["a", "b"], version="1.0.0")
+revision = "e807b1d5492aa5f4fac08f3f6c7c85c72887ca12"
+ds = load_dataset("big_patent", codes="all", version="1.0.0", revision=revision)
+ds = load_dataset("big_patent", codes="a", version="1.0.0", revision=revision)
 ```