Prince-1 commited on
Commit
96fbb90
·
verified ·
1 Parent(s): 35cb877

Add files using upload-large-folder tool

Browse files
Files changed (1) hide show
  1. CreateDataset.py +22 -29
CreateDataset.py CHANGED
@@ -11,7 +11,7 @@ import argparse
11
  from pathlib import Path
12
  import pandas as pd
13
  from pydantic import BaseModel, field_validator
14
- from typing import Literal
15
 
16
 
17
  IMAGE_EXT = {".jpg", ".jpeg", ".png", ".webp"}
@@ -23,15 +23,15 @@ def clean_name(name: str) -> str:
23
 
24
 
25
  class MemeRecord(BaseModel):
26
- file_name: str # HF-required
27
- type: Literal["image", "video"]
28
  category: str
29
  caption: str = ""
30
 
31
- @field_validator("file_name")
32
  @classmethod
33
- def normalize_path(cls, v: str) -> str:
34
- return v.replace("\\", "/")
35
 
36
  @field_validator("category")
37
  @classmethod
@@ -41,7 +41,6 @@ class MemeRecord(BaseModel):
41
 
42
  def main(root: Path):
43
  src = root / "meme"
44
-
45
  if not src.exists():
46
  raise SystemExit(f"❌ Missing folder: {src}")
47
 
@@ -58,42 +57,36 @@ def main(root: Path):
58
  path = Path(root_dir) / file
59
  ext = path.suffix.lower()
60
 
 
 
61
  if ext in IMAGE_EXT:
62
- media_type = "image"
 
 
 
 
 
63
  elif ext in VIDEO_EXT:
64
- media_type = "video"
65
- else:
66
- continue
67
-
68
- records.append(
69
- MemeRecord(
70
- file_name=str(path.relative_to(root)),
71
- type=media_type,
72
- category=category,
73
- caption=""
74
  )
75
- )
76
 
77
  if not records:
78
- raise SystemExit("❌ No media files found")
79
 
80
  df = pd.DataFrame([r.model_dump() for r in records])
81
-
82
- # ✅ BOTH formats – HF folder builder expects CSV
83
  df.to_csv(root / "metadata.csv", index=False)
84
  df.to_parquet(root / "metadata.parquet", index=False)
85
 
86
- print(f"✔ Indexed {len(df)} files (record-only)")
87
 
88
 
89
  if __name__ == "__main__":
90
  parser = argparse.ArgumentParser()
91
- parser.add_argument(
92
- "--root",
93
- type=Path,
94
- default=Path.cwd(),
95
- help="Dataset root directory"
96
- )
97
  args = parser.parse_args()
98
  main(args.root)
99
 
 
11
  from pathlib import Path
12
  import pandas as pd
13
  from pydantic import BaseModel, field_validator
14
+ from typing import Optional
15
 
16
 
17
  IMAGE_EXT = {".jpg", ".jpeg", ".png", ".webp"}
 
23
 
24
 
25
  class MemeRecord(BaseModel):
26
+ image_file_name: Optional[str] = None
27
+ video_file_name: Optional[str] = None
28
  category: str
29
  caption: str = ""
30
 
31
+ @field_validator("image_file_name", "video_file_name")
32
  @classmethod
33
+ def normalize_path(cls, v: Optional[str]) -> Optional[str]:
34
+ return v.replace("\\", "/") if v else v
35
 
36
  @field_validator("category")
37
  @classmethod
 
41
 
42
  def main(root: Path):
43
  src = root / "meme"
 
44
  if not src.exists():
45
  raise SystemExit(f"❌ Missing folder: {src}")
46
 
 
57
  path = Path(root_dir) / file
58
  ext = path.suffix.lower()
59
 
60
+ rel = str(path.relative_to(root))
61
+
62
  if ext in IMAGE_EXT:
63
+ records.append(
64
+ MemeRecord(
65
+ image_file_name=rel,
66
+ category=category
67
+ )
68
+ )
69
  elif ext in VIDEO_EXT:
70
+ records.append(
71
+ MemeRecord(
72
+ video_file_name=rel,
73
+ category=category
74
+ )
 
 
 
 
 
75
  )
 
76
 
77
  if not records:
78
+ raise SystemExit("❌ No media found")
79
 
80
  df = pd.DataFrame([r.model_dump() for r in records])
 
 
81
  df.to_csv(root / "metadata.csv", index=False)
82
  df.to_parquet(root / "metadata.parquet", index=False)
83
 
84
+ print(f"✔ Indexed {len(df)} files (HF-safe)")
85
 
86
 
87
  if __name__ == "__main__":
88
  parser = argparse.ArgumentParser()
89
+ parser.add_argument("--root", type=Path, default=Path.cwd())
 
 
 
 
 
90
  args = parser.parse_args()
91
  main(args.root)
92