Upload parquet_to_raw.py with huggingface_hub

parquet_to_raw.py

@@ -9,7 +9,6 @@ import json
 from pathlib import Path
 
 from datasets import load_dataset, load_from_disk
-from huggingface_hub import HfApi
 
 # split -> (has_reflections, has_edge)
 SPLITS = {
@@ -32,7 +31,7 @@ def save_split(ds, split: str, has_reflections: bool, has_edge: bool, out_dir: P
     for i, sample in enumerate(ds):
         stem = sample.get("image_id") or f"{i:06d}"
 
-        img_path  = img_dir  / f"{stem}.png"
+        img_path  = img_dir  / f"{stem}.jpg"
         mask_path = mask_dir / f"{stem}.png"
         sample["image"].save(img_path)
         sample["mask"].save(mask_path)
@@ -57,9 +56,9 @@ def save_split(ds, split: str, has_reflections: bool, has_edge: bool, out_dir: P
         if (i + 1) % 100 == 0:
             print(f"  {i + 1}/{len(ds)}")
 
-    (split_dir / "metadata.jsonl").write_text(
-        "\n".join(json.dumps(r) for r in rows)
-    )
+    # (split_dir / "metadata.jsonl").write_text(
+    #     "\n".join(json.dumps(r) for r in rows)
+    # )
     print(f"  saved {len(rows)} samples -> {split_dir}")
 
 
@@ -71,8 +70,6 @@ def main():
     parser.add_argument("--out", default="GSD", help="Output root directory (default: ./GSD)")
     parser.add_argument("--splits", nargs="+", choices=list(SPLITS), default=list(SPLITS),
                         help="Which splits to convert (default: all)")
-    parser.add_argument("--upload-to", metavar="REPO_ID",
-                        help="Upload raw files to this HF dataset repo after conversion, e.g. garrying/GSD-raw")
     args = parser.parse_args()
 
     out_dir = Path(args.out)
@@ -92,26 +89,6 @@ def main():
 
     print(f"\nDone!  Raw files in: {out_dir.resolve()}")
 
-    if args.upload_to:
-        api = HfApi()
-        api.create_repo(args.upload_to, repo_type="dataset", exist_ok=True)
-        for split in args.splits:
-            print(f"\nUploading {split} -> {args.upload_to}...")
-            api.upload_folder(
-                folder_path=str(out_dir / split),
-                path_in_repo=split,
-                repo_id=args.upload_to,
-                repo_type="dataset",
-                ignore_patterns=["*.jsonl"],
-            )
-            api.upload_file(
-                path_or_fileobj=(out_dir / split / "metadata.jsonl").read_bytes(),
-                path_in_repo=f"{split}/metadata.jsonl",
-                repo_id=args.upload_to,
-                repo_type="dataset",
-            )
-        print(f"\nUploaded!  https://huggingface.co/datasets/{args.upload_to}")
-
 
 if __name__ == "__main__":
     main()