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README.md

@@ -87,22 +87,22 @@ labeled as interface.
 Data for different configurations can be loaded using HuggingFace `datasets` library with the following script:
 
 ```python
-from datasets import load_data
+from datasets import load_dataset
 
-dataset = load_data("CQSB/SoftDis", name=config_name)
+dataset = load_dataset("CQSB/SoftDis", name=config_name)
 ```
 
 The function returns a `datasets.DatasetDict` object, whose items can be accessed by specifying the corresponding split, as in the following
 
 ```python
 # Assign splits to different datasets.Dataset objects
-train_data, val_data, test_data = load_data("CQSB/SoftDis", "id05")
+train_data, val_data, test_data = load_dataset("CQSB/SoftDis", "id05")
 
 # Load default `train` split
-train_data = load_data("CQSB/SoftDis", split="train")
+train_data = load_dataset("CQSB/SoftDis", split="train")
 
 # Access `train` split after loading
-data = load_data("CQSB/SoftDis", "id05")
+data = load_dataset("CQSB/SoftDis", "id05")
 train_data = data['train']
 ```
 
@@ -126,7 +126,7 @@ To load data for all chains, `clusters-all` configuration is recommended, since
 `cluster` configuration can instead be useful to inpect information about one or few clusters, without the need to download the full database. Necessary files can be loaded with the following syntax:
 
 ```python
-dataset = load_data(
+dataset = load_dataset(
     "CQSB/SoftDis", "clusters", data_files="clusters/train/*/4zne_E.parquet"
 )
 ```