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@@ -40,11 +40,11 @@ ds = load_dataset("helical-ai/gastrulation_mmusculus",trust_remote_code=True, sp
 ```
 observation_columns = [obs for obs in list(ds.features.keys()) if not obs == 'raw_counts']
 obs_data = pd.DataFrame(ds.select_columns(observation_columns).data.to_pandas(),columns=observation_columns)
-lil = lil_matrix((len(ds['train']),ds['train'][0]['size']))
-lil.data = np.array(ds['train']['raw_counts'],dtype="object")
-lil.rows = np.array(ds['train']['rows'],dtype="object")
+lil = lil_matrix((len(ds),ds[0]['size']))
+lil.data = np.array(ds['raw_counts'],dtype="object")
+lil.rows = np.array(ds['rows'],dtype="object")
 ann_data = ad.AnnData(lil.tocsr(),obs=obs_data)
-ann_data.var_names = ds['train'].features['raw_counts'].id.split(",")
+ann_data.var_names = ds.features['raw_counts'].id.split(",")
 ```
 
 ### Key metadata