Update ESLO.py

ESLO.py

@@ -389,16 +389,17 @@ class ESLO(datasets.GeneratorBasedBuilder):
         for path in transcripts:
             transcript_name = os.path.splitext(os.path.basename(path))[0]
             audio = self.load_audio(audio_files[transcript_name])
-            for utterance in self.load_one(path):
-                if not self.config.overlap and utterance.overlap:
-                    continue
-                yield f"{transcript_name}_{utterance.start_timestamp}-{utterance.end_timestamp}", {
-                    "file": transcript_name,
-                    "sentence": utterance.sentence,
-                    "start_timestamp": utterance.start_timestamp,
-                    "end_timestamp": utterance.end_timestamp,
-                    "speaker": utterance.speaker,
-                    "overlap": utterance.overlap,
-                    "audio": {"path": transcript_name,
-                              "array": self._cut_audio(audio, utterance.start_timestamp, utterance.end_timestamp),
-                              "sampling_rate": 16000}}
+            with open(path, "r") as file:
+                for utterance in self.load_one(file):
+                    if not self.config.overlap and utterance.overlap:
+                        continue
+                    yield f"{transcript_name}_{utterance.start_timestamp}-{utterance.end_timestamp}", {
+                        "file": transcript_name,
+                        "sentence": utterance.sentence,
+                        "start_timestamp": utterance.start_timestamp,
+                        "end_timestamp": utterance.end_timestamp,
+                        "speaker": utterance.speaker,
+                        "overlap": utterance.overlap,
+                        "audio": {"path": transcript_name,
+                                  "array": self._cut_audio(audio, utterance.start_timestamp, utterance.end_timestamp),
+                                  "sampling_rate": 16000}}