Upload folder using huggingface_hub

README.md

@@ -83,6 +83,22 @@ This dataset is designed for:
 - Human-AI agreement studies
 - Cultural representation research
 
+### Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+# Load specific dataset configurations
+add_attribution = load_dataset("seochan99/ecb-datasets", "add_attribution")
+country_swap = load_dataset("seochan99/ecb-datasets", "country_swap")
+multi_loop_edits = load_dataset("seochan99/ecb-datasets", "multi_loop_edits")
+
+# Access data
+print(add_attribution["train"][0])  # First example from add_attribution
+print(country_swap["train"][0])    # First example from country_swap
+print(multi_loop_edits["train"][0]) # First example from multi_loop_edits
+```
+
 ## Authors
 
 **Equal Contribution:** Huichan Seo, Sieun Choi, Minki Hong

setup_instructions.md

@@ -52,12 +52,10 @@ The uploaded dataset can be used as follows:
 ```python
 from datasets import load_dataset
 
-# Load dataset
-dataset = load_dataset("seochan99/ecb-datasets")
-
-# Access specific files
-add_attribution = dataset["add_attribution"]
-country_swap = dataset["country_swap"]
+# Load specific dataset configurations
+add_attribution = load_dataset("seochan99/ecb-datasets", "add_attribution")
+country_swap = load_dataset("seochan99/ecb-datasets", "country_swap")
+multi_loop_edits = load_dataset("seochan99/ecb-datasets", "multi_loop_edits")
 ```
 
 ## 5. Troubleshooting

upload_dataset.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 """
-허깅페이스 데이터셋 업로드 스크립트
+Hugging Face Dataset Upload Script
 """
 
 import os
@@ -11,83 +11,83 @@ from huggingface_hub.utils import RepositoryNotFoundError
 
 def upload_dataset(username, dataset_name, dataset_path):
     """
-    허깅페이스에 데이터셋을 업로드합니다.
+    Upload dataset to Hugging Face.
     
     Args:
-        username (str): 허깅페이스 사용자명
-        dataset_name (str): 데이터셋 이름
-        dataset_path (str): 로컬 데이터셋 경로
+        username (str): Hugging Face username
+        dataset_name (str): Dataset name
+        dataset_path (str): Local dataset path
     """
     
     repo_id = f"{username}/{dataset_name}"
     api = HfApi()
     
     try:
-        # 리포지토리 생성
-        print(f"리포지토리 생성 중: {repo_id}")
+        # Create repository
+        print(f"Creating repository: {repo_id}")
         create_repo(
             repo_id=repo_id,
             repo_type="dataset",
             exist_ok=True
         )
-        print("✅ 리포지토리 생성 완료")
+        print("✅ Repository created successfully")
         
     except Exception as e:
-        print(f"❌ 리포지토리 생성 실패: {e}")
+        print(f"❌ Repository creation failed: {e}")
         return False
     
     try:
-        # 데이터셋 업로드
-        print(f"데이터셋 업로드 중: {dataset_path}")
+        # Upload dataset
+        print(f"Uploading dataset: {dataset_path}")
         api.upload_folder(
             folder_path=dataset_path,
             repo_id=repo_id,
             repo_type="dataset"
         )
-        print("✅ 데이터셋 업로드 완료")
-        print(f"🌐 데이터셋 URL: https://huggingface.co/datasets/{repo_id}")
+        print("✅ Dataset upload completed")
+        print(f"🌐 Dataset URL: https://huggingface.co/datasets/{repo_id}")
         return True
         
     except Exception as e:
-        print(f"❌ 데이터셋 업로드 실패: {e}")
+        print(f"❌ Dataset upload failed: {e}")
         return False
 
 def main():
     if len(sys.argv) != 3:
-        print("사용법: python upload_dataset.py <username> <dataset-name>")
-        print("예시: python upload_dataset.py yourusername ecb-human-survey")
+        print("Usage: python upload_dataset.py <username> <dataset-name>")
+        print("Example: python upload_dataset.py seochan99 ecb-datasets")
         sys.exit(1)
     
     username = sys.argv[1]
     dataset_name = sys.argv[2]
-    dataset_path = "."  # 현재 디렉토리
+    dataset_path = "."  # Current directory
     
     print("=" * 50)
-    print("허깅페이스 데이터셋 업로드")
+    print("Hugging Face Dataset Upload")
     print("=" * 50)
-    print(f"사용자명: {username}")
-    print(f"데이터셋명: {dataset_name}")
-    print(f"로컬 경로: {os.path.abspath(dataset_path)}")
+    print(f"Username: {username}")
+    print(f"Dataset Name: {dataset_name}")
+    print(f"Local Path: {os.path.abspath(dataset_path)}")
     print("=" * 50)
     
-    # 토큰 확인
+    # Check authentication
     try:
         api = HfApi()
         user_info = api.whoami()
-        print(f"✅ 로그인됨: {user_info['name']}")
+        print(f"✅ Logged in as: {user_info['name']}")
     except Exception as e:
-        print("❌ 허깅페이스에 로그인되지 않았습니다.")
-        print("다음 명령어로 로그인하세요:")
+        print("❌ Not logged in to Hugging Face.")
+        print("Please login using:")
         print("python -c \"from huggingface_hub import login; login()\"")
         sys.exit(1)
     
-    # 업로드 실행
+    # Execute upload
     success = upload_dataset(username, dataset_name, dataset_path)
     
     if success:
-        print("\n🎉 업로드가 성공적으로 완료되었습니다!")
+        print("\n🎉 Upload completed successfully!")
     else:
-        print("\n💥 업로드 중 오류가 발생했습니다.")
+        print("\n💥 Error occurred during upload.")
         sys.exit(1)
 
 if __name__ == "__main__":