Update dataset files with actual PDF metadata

dataset_dict.json

@@ -3,15 +3,15 @@
     "splits": {
       "train": {
         "name": "train",
-        "num_bytes": 0,
-        "num_examples": 0,
+        "num_bytes": 6468037461,
+        "num_examples": 2181,
         "dataset_name": "jfk-files-2025"
       }
     },
     "download_checksums": {},
-    "download_size": 0,
+    "download_size": 6468037461,
     "post_processing_size": null,
-    "dataset_size": 0,
-    "size_in_bytes": 0
+    "dataset_size": 6468037461,
+    "size_in_bytes": 6468037461
   }
-}
+}

generate_dataset_files.py

@@ -0,0 +1,63 @@
+#!/usr/bin/env python3
+import os
+import json
+import glob
+from tqdm import tqdm
+
+# Directory containing the PDF files
+data_dir = "data"
+
+# Get all PDF files
+pdf_files = glob.glob(os.path.join(data_dir, "*.pdf"))
+
+# Create dataset structure
+dataset = {
+    "file_name": [],
+    "file_path": [],
+    "file_size": [],
+    "content_type": []
+}
+
+# Add information for each PDF file
+for pdf_file in tqdm(pdf_files, desc="Processing PDF files"):
+    file_name = os.path.basename(pdf_file)
+    file_path = pdf_file
+    file_size = os.path.getsize(pdf_file)
+    
+    dataset["file_name"].append(file_name)
+    dataset["file_path"].append(file_path)
+    dataset["file_size"].append(file_size)
+    dataset["content_type"].append("application/pdf")
+
+# Create the default directory if it doesn't exist
+os.makedirs("default", exist_ok=True)
+
+# Write the dataset to a JSON file
+with open("default/train.json", "w") as f:
+    json.dump(dataset, f, indent=2)
+
+# Update dataset_dict.json with correct information
+dataset_dict = {
+    "default": {
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": sum(dataset["file_size"]),
+                "num_examples": len(dataset["file_name"]),
+                "dataset_name": "jfk-files-2025"
+            }
+        },
+        "download_checksums": {},
+        "download_size": sum(dataset["file_size"]),
+        "post_processing_size": None,
+        "dataset_size": sum(dataset["file_size"]),
+        "size_in_bytes": sum(dataset["file_size"])
+    }
+}
+
+# Write the dataset_dict.json file
+with open("dataset_dict.json", "w") as f:
+    json.dump(dataset_dict, f, indent=2)
+
+print(f"Successfully processed {len(dataset['file_name'])} PDF files")
+print(f"Total dataset size: {sum(dataset['file_size']) / (1024*1024):.2f} MB")