add instruction.

README.md

@@ -6446,38 +6446,54 @@ The current version is filtered based on adopted filters from C4, CCNet, MADLAD-
 We release our pipeline as open-source at [https://github.com/cisnlp/GlotCC](https://github.com/cisnlp/GlotCC).  
 
 
-### Usage (Hugging Face Dataloader)
+### Usage (Huggingface Hub - Recommended)
+
+Replace `bal-Arab` with your specific language.
 
-Replace `eng-Latn` with your specific language.
 
 ```python
-!pip install datasets
+from huggingface_hub import snapshot_download
+folder = snapshot_download(
+                "cis-lmu/glotcc-v1", 
+                repo_type="dataset",
+                local_dir="./path/to/glotcc-v1/",
+                # replace "v1.0/bal-Arab/*" with any other language path
+                allow_patterns="v1.0/bal-Arab/*")
 ```
 
+
+For faster downloads, make sure to `pip install huggingface_hub[hf_transfer]` and set the environment variable `HF_HUB_ENABLE_HF_TRANSFER`=1.
+
+Then you can load it with any library that supports Parquet files, such as Pandas:
+
 ```python
-from datasets import load_dataset
+import pandas as pd
 
-dataset = load_dataset('cis-lmu/GlotCC-V1', 'eng-Latn')
-print(dataset['train'][0])  # First row of eng-Latn
+dataset = pd.read_parquet('./path/to/glotcc-v1/v1.0/bal-Arab/bal-Arab_0.parquet')
+print(dataset.head())
 ```
 
-### Download
+### Usage (Huggingface datasets)
 
-If you prefer not to use the Hugging Face dataloader or are interested in a specific language, you can download it directly. For example, to download the first file of `eng-Latn`:
 
 ```python
-!wget https://huggingface.co/datasets/cis-lmu/GlotCC-V1/resolve/main/v1.0/eng-Latn/eng-Latn_0.parquet
+from datasets import load_dataset
+# replace name="bal-Arab" to any other language
+fw = load_dataset("cis-lmu/glotcc-v1", name="bal-Arab", split="train", streaming=True)
+
+print(next(iter(fw))) # print the next from the iterator from the dataset
 ```
 
-Then you can load it with any library that supports Parquet files, such as Pandas:
 
-```python
-import pandas as pd
+### Usage (direct download)
 
-dataset = pd.read_parquet('/path/to/eng-Latn_0.parquet')
-print(dataset.head())
+If you prefer not to use the Hugging Face datasets or hub you can download it directly. For example, to download the first file of `bal-Arab`:
+
+```python
+!wget https://huggingface.co/datasets/cis-lmu/GlotCC-V1/resolve/main/v1.0/bal-Arab/bal-Arab_0.parquet
 ```
 
+
 ## Additional Information
 
 The dataset is currently heavily under audit and changes accordingly.