Change cache_folder arg name to cache_dir

README.md

@@ -38,12 +38,12 @@ Tasks are not supported by default (there are no label fields). The dataset may
 
 ### How to use
 
-To download and extract the files locally you can use `load_dataset()`. We recommend you set the `cache_folder` argument to point to a location that has plenty of disk space (1.2TB+). Here's how to download the `train` split: 
+To download and extract the files locally you can use `load_dataset()`. We recommend you set the `cache_dir` argument to point to a location that has plenty of disk space (1.2TB+). Here's how to download the `train` split: 
 
 ```python
 from datasets import load_dataset
 # To download/load all splits at once, don't specify a split
-rixvox = load_dataset("KBLab/rixvox", split="train", cache_folder="data_rixvox")
+rixvox = load_dataset("KBLab/rixvox", split="train", cache_dir="data_rixvox")
 ```
 
 You can also stream the dataset. This is useful if you want to explore the dataset or if you don't have enough disk space to download the entire dataset. Here's how to stream the `train` split:
@@ -67,7 +67,7 @@ Local mode:
 from datasets import load_dataset
 from torch.utils.data.sampler import BatchSampler, RandomSampler
 # Dataset is not pre-shuffled, recommend shuffling it before training.
-rixvox = load_dataset("KBLab/rixvox", split="train", cache_folder="data_rixvox")
+rixvox = load_dataset("KBLab/rixvox", split="train", cache_dir="data_rixvox")
 batch_sampler = BatchSampler(RandomSampler(rixvox), batch_size=32, drop_last=False)
 dataloader = DataLoader(rixvox, batch_sampler=batch_sampler)
 ```
@@ -77,7 +77,7 @@ Streaming mode:
 ```python
 from datasets import load_dataset
 from torch.utils.data import DataLoader
-rixvox = load_dataset("KBLab/rixvox", split="train", cache_folder="data_rixvox")
+rixvox = load_dataset("KBLab/rixvox", split="train", cache_dir="data_rixvox")
 dataloader = DataLoader(rixvox, batch_size=32)
 ```