Update README.md

README.md

@@ -65,18 +65,18 @@ This dataset contains **913 linguistic features** extracted from movie screenpla
 from datasets import load_dataset
 
 # Load a single feature group
-ds = load_dataset("YOUR_USERNAME/screenplay-features", data_files="train/base.parquet")
+ds = load_dataset("Ishaank18/screenplay-features", data_files="train/base.parquet")
 df = ds['train'].to_pandas()
 
 # Load multiple groups for training
-ds = load_dataset("YOUR_USERNAME/screenplay-features", 
+ds = load_dataset("Ishaank18/screenplay-features", 
                   data_files={
                       "train": ["train/base.parquet", "train/gc_polarity.parquet", "train/emotional.parquet"]
                   })
 df = ds['train'].to_pandas()
 
 # Load all splits for evaluation
-ds = load_dataset("YOUR_USERNAME/screenplay-features",
+ds = load_dataset("Ishaank18/screenplay-features",
                   data_files={
                       "train": "train/gc_polarity.parquet",
                       "validation": "validation/gc_polarity.parquet",
@@ -90,7 +90,7 @@ ds = load_dataset("YOUR_USERNAME/screenplay-features",
 import pandas as pd
 
 # From HuggingFace URL
-df = pd.read_parquet("hf://datasets/YOUR_USERNAME/screenplay-features/train/base.parquet")
+df = pd.read_parquet("hf://datasets/Ishaank18/screenplay-features/train/base.parquet")
 
 # Or if you have the repo cloned locally
 df = pd.read_parquet("train/base.parquet")
@@ -105,7 +105,7 @@ from feature_cache.load_hf import load_groups
 X, y = load_groups(
     groups=["base", "gc_polarity", "emotional", "rst"],
     split="train",
-    hf_repo="YOUR_USERNAME/screenplay-features"
+    hf_repo="Ishaank18/screenplay-features"
 )
 
 # Load features only (no labels)
@@ -113,7 +113,7 @@ X = load_groups(
     groups=["base", "gc_polarity"],
     split="test",
     include_label=False,
-    hf_repo="YOUR_USERNAME/screenplay-features"
+    hf_repo="Ishaank18/screenplay-features"
 )
 ```