Update NURC-SP_ENTOA_TTS.py

NURC-SP_ENTOA_TTS.py

@@ -2,7 +2,6 @@ import csv
 import datasets
 from datasets import BuilderConfig, GeneratorBasedBuilder, DatasetInfo, SplitGenerator, Split
 from pathlib import Path
-import os
 
 _PROMPTS_PROSODIC_URLS = {
     "dev": "prosodic/validation.csv",
@@ -89,9 +88,6 @@ class NurcSPDataset(GeneratorBasedBuilder):
             )
 
     def _split_generators(self, dl_manager):
-        print("\n=== Configuration ===")
-        print(f"Using prompts_type: {self.config.prompts_type}")
-        
         if self.config.prompts_type == "prosodic":
             prompts_urls = _PROMPTS_PROSODIC_URLS
             archive_link = _ARCHIVES_PROSODIC
@@ -99,16 +95,10 @@ class NurcSPDataset(GeneratorBasedBuilder):
             prompts_urls = _PROMPTS_AUTOMATIC_URLS
             archive_link = _ARCHIVES_AUTOMATIC
         else:
-            print("Invalid config")
             return
-        
-        print(f"Downloading prompts from: {prompts_urls}")
+
         prompts_path = dl_manager.download(prompts_urls)
-        print(f"Downloaded prompts to: {prompts_path}")
-        
-        print(f"Downloading archives from: {archive_link}")
         archive = dl_manager.download(archive_link)
-        print(f"Downloaded archives to: {archive}")
 
         return [
             SplitGenerator(
@@ -132,17 +122,9 @@ class NurcSPDataset(GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, prompts_path, path_to_clips, audio_files, split_name):
-        print(f"\n{'='*50}")
-        print(f"Processing {split_name} split")
-        print(f"{'='*50}")
-        print(f"\nCSV Path: {prompts_path}")
-        print(f"Expected clips directory: {path_to_clips}")
-        
         examples = {}
         csv_paths = []
-        
-        # Read CSV file
-        print("\n=== Reading CSV ===")
+
         with open(prompts_path, "r") as f:
             csv_reader = csv.DictReader(f)
             if self.config.prompts_type == "prosodic":
@@ -187,55 +169,11 @@ class NurcSPDataset(GeneratorBasedBuilder):
                         "speaker_id": row['speaker_id'],
                     }
                     csv_paths.append(file_path)
-            
-        print(f"\nFound {len(csv_paths)} entries in CSV")
-        print("\nFirst 3 CSV paths:")
-        for path in csv_paths[:3]:
-            print(f"  CSV path: {path}")
-        
-        # Process archive
-        print("\n=== Processing Archive ===")
-        inside_clips_dir = False
+
         id_ = 0
-        matched_files = 0
-        archive_paths = []
-        
         for path, f in audio_files:
             path = Path(path).as_posix()
-            archive_paths.append(path)
-            
-            if path.startswith(path_to_clips):
-                inside_clips_dir = True
-                if path in examples:
-                    audio = {"path": path, "bytes": f.read()}
-                    matched_files += 1
-                    yield id_, {**examples[path], "audio": audio}
-                    id_ += 1
-        
-        print("\n=== Path Analysis ===")
-        print("\nFirst 3 archive paths:")
-        for path in archive_paths[:3]:
-            print(f"  Archive path: {path}")
-            
-            # Try to find potential matches
-            print("\nPotential matches in CSV:")
-            for csv_path in csv_paths[:3]:
-                print(f"\nComparing:")
-                print(f"  Archive: {path}")
-                print(f"  CSV:     {csv_path}")
-                print(f"  Archive parts: {path.split('/')}")
-                print(f"  CSV parts:     {csv_path.split('/')}")
-                
-        print(f"\n=== Summary for {split_name} split ===")
-        print(f"Total paths in CSV: {len(csv_paths)}")
-        print(f"Total paths found in archive: {len(archive_paths)}")
-        print(f"Successfully matched files: {matched_files}")
-        
-        if matched_files == 0:
-            print("\n!!! MATCHING FAILED !!!")
-            print("No files were matched between CSV and archive")
-            print("\nTroubleshooting:")
-            print("1. Check if CSV paths start with the clip directory name")
-            print("2. Check for case sensitivity issues")
-            print("3. Check for extra/missing directory levels")
-            print("4. Check path separator consistency")
+            if path.startswith(path_to_clips) and path in examples:
+                audio = {"path": path, "bytes": f.read()}
+                yield id_, {**examples[path], "audio": audio}
+                id_ += 1