Update README.md

README.md

@@ -457,26 +457,35 @@ This is the data for **Bug Localization** benchmark as part of LCA.
     ```py
     from huggingface_hub import hf_hub_download
     from datasets import load_dataset
-
+    import zipfile
+    import os
+    
     # Load json with list of repos' .tar.gz file paths
     paths_json = load_dataset("JetBrains-Research/lca-bug-localization", data_files="paths.json")
 
     # Load each repo in .tar.gz format, unzip, delete archive
-    repos = paths_json["repos"][0]
+    repos = paths_json[configuration][0]
+    repos_path = "path/to/repos"
 
-    for i, repo_tar_path in enumerate(repos):
-  
-        local_repo_tars = hf_hub_download(
+    for i, repo_zip_path in enumerate(repos):
+        repo_name = os.path.basename(repo_zip_path).split('.')[0]
+        repo_path = os.path.join(repos_path, repo_name)
+        # Load zip file
+        local_repo_zip_path = hf_hub_download(
             "JetBrains-Research/lca-bug-localization",
-            filename=repo_tar_path,
+            filename=repo_zip_path,
             repo_type="dataset",
             local_dir="local/dir"
         )
 
-        result = subprocess.run(["tar", "-xzf", local_repo_tars, "-C", os.path.join("local/dir", "repos")])
-        os.remove(local_repo_tars)
+        # Unzip file
+        with zipfile.ZipFile(local_repo_zip_path, 'r') as zip_ref:
+            zip_ref.extractall(repo_path)
+        os.remove(local_repo_zip_path)
    ```
 
+Moreover, all process of data loading and streaming is implemented in [HFDataSource](https://github.com/JetBrains-Research/lca-baselines/blob/main/bug_localization/src/baselines/data_sources/hf_data_source.py) which utilize Hugging Face data usage in banchmark infastructure.
+
 ## Dataset Structure
 
 TODO: some overall structure or repo