Upload README.md with huggingface_hub

README.md

@@ -15,7 +15,7 @@ tags:
 - pdf
 - research
 size_categories:
-- 100K<n<1M
+- 10K<n<100K
 ---
 
 # CVPR Papers
@@ -102,62 +102,60 @@ CVPR_Papers/
 ### Installation
 
 ```bash
-pip install huggingface_hub
+pip install huggingface_hub requests
 ```
 
-### Download Dataset
-
-Download a specific year from Hugging Face:
+### Load Metadata
 
 ```python
-from huggingface_hub import snapshot_download
+from huggingface_hub import hf_hub_download
+import json
 
-# Download a specific year (e.g., 2013)
+# Download metadata for a specific year
 year = "2013"
-snapshot_download(
+meta_path = hf_hub_download(
     repo_id="choucsan/CVPR_Papers",
+    filename=f"{year}/meta.jsonl",
     repo_type="dataset",
-    local_dir="CVPR_Papers",
-    allow_patterns=[f"{year}/*"],
 )
-```
-
-### Load Data
-
-```python
-import json
 
-# Load metadata for a specific year
-year = "2013"
+# Load metadata
 papers = []
-with open(f'CVPR_Papers/{year}/meta.jsonl', 'r', encoding='utf-8') as f:
+with open(meta_path, 'r', encoding='utf-8') as f:
     for line in f:
         papers.append(json.loads(line))
 
 print(f"Loaded {len(papers)} CVPR {year} papers")
-
-# View first paper
-first_paper = papers[0]
-print(f"Title: {first_paper['title']}")
-print(f"Authors: {first_paper['authors']}")
-print(f"Abstract: {first_paper['abstract'][:200]}...")
 ```
 
 ### Download PDF Files
 
+Each paper has a `download_url` field pointing to the original PDF on CVF Open Access:
+
 ```python
 import requests
+import os
+
+# Create output directory
+os.makedirs(f"cvpr_{year}_pdfs", exist_ok=True)
 
-# Download a specific paper using download_url
+# Download a specific paper
 paper = papers[0]
 response = requests.get(paper['download_url'])
 
-# Save PDF
-filename = paper['pdf_path'].split('/')[-1]
-with open(filename, 'wb') as f:
+filename = os.path.basename(paper['pdf_path'])
+with open(f"cvpr_{year}_pdfs/{filename}", 'wb') as f:
     f.write(response.content)
 
 print(f"Downloaded: {filename}")
+
+# Download all papers for a year (optional)
+for paper in papers:
+    if paper.get('download_url'):
+        response = requests.get(paper['download_url'])
+        filename = os.path.basename(paper['pdf_path'])
+        with open(f"cvpr_{year}_pdfs/{filename}", 'wb') as f:
+            f.write(response.content)
 ```
 
 ---