Update README.md

README.md

@@ -69,27 +69,53 @@ Find recordings samples [here](https://huggingface.co/datasets/nyu-dice-lab/wave
   
 ## Usage
 
+```python
+pip install datasets
+pip install huggingface-hub
+```
+
 ### Loading the Dataset
 
 ```python
 from datasets import load_dataset
-
-# Load full dataset
-dataset = load_dataset("nyu-dice-lab/wavepulse-radio-raw-transcripts")
-
-# Load specific state
-dataset = load_dataset("nyu-dice-lab/wavepulse-radio-raw-transcripts", "NY")
-
-# Filter by date range
-filtered_ds = dataset.filter(
-    lambda x: "2024-08-01" <= x['datetime'] <= "2024-08-31"
-)
-
-# Filter by station
-station_ds = dataset.filter(lambda x: x['station'] == 'WXYZ')
-
-# Get all segments from a specific transcript
-transcript_ds = dataset.filter(lambda x: x['transcript_id'] == 'AK_KAGV_2024_08_25_13_00')
+from huggingface_hub import HfApi, HfFolder
+import time
+
+# Configure longer timeout and retries
+import huggingface_hub
+huggingface_hub.constants.HF_HUB_DOWNLOAD_TIMEOUT = 60  # Increase timeout to 60 seconds
+
+def load_dataset_with_retry(dataset_name, subset=None, max_retries=3):
+    for attempt in range(max_retries):
+        try:
+            if subset:
+                return load_dataset(dataset_name, subset)
+            else:
+                return load_dataset(dataset_name)
+        except Exception as e:
+            if attempt == max_retries - 1:
+                raise e
+            print(f"Attempt {attempt + 1} failed, retrying in {2 ** attempt} seconds...")
+            time.sleep(2 ** attempt)  # Exponential backoff
+
+# Load dataset with retry logic
+try:
+    # For full dataset
+    dataset = load_dataset_with_retry("nyu-dice-lab/wavepulse-radio-raw-transcripts")
+    # Or for specific state
+    # dataset = load_dataset_with_retry("nyu-dice-lab/wavepulse-radio-raw-transcripts", "NY")
+    
+    # Your filtering operations remain the same
+    filtered_ds = dataset.filter(
+        lambda x: "2024-08-01" <= x['datetime'] <= "2024-08-31"
+    )
+    station_ds = dataset.filter(lambda x: x['station'] == 'WXYZ')
+    transcript_ds = dataset.filter(
+        lambda x: x['transcript_id'] == 'AK_KAGV_2024_08_25_13_00'
+    )
+    
+except Exception as e:
+    print(f"Failed to load dataset after all retries: {str(e)}")
 ```
 
 ### Data Schema