Update libriheavy.py

libriheavy.py

@@ -58,15 +58,15 @@ class Libriheavy(datasets.GeneratorBasedBuilder):
                     "text": datasets.Value("string"),
                     "word_segments": datasets.Sequence(
                         {
-                            "start": datasets.Value("int32"),
-                            "end": datasets.Value("int32"),
+                            "start": datasets.Value("float32"),
+                            "end": datasets.Value("float32"),
                             "word": datasets.Value("string"),
                         }
                     ),
                     "phone_segments": datasets.Sequence(
                         {
-                            "start": datasets.Value("int32"),
-                            "end": datasets.Value("int32"),
+                            "start": datasets.Value("float32"),
+                            "end": datasets.Value("float32"),
                             "phone": datasets.Value("string"),
                         }
                     ),
@@ -153,6 +153,7 @@ class Libriheavy(datasets.GeneratorBasedBuilder):
                     # skip the last utterance
                     if utterance_id == sorted(list(text.keys()))[-1]:
                         continue
+                    print(utterance["phone_segments"])
                     result =  {
                         "id": chunk["speaker_id"] + "_" + utterance_id,
                         "speaker_id": chunk["speaker_id"],
@@ -179,6 +180,9 @@ class Libriheavy(datasets.GeneratorBasedBuilder):
                     "word_segments": [
                         {"start": segment[0], "end": segment[1], "word": segment[2]} for segment in utterance["word_segments"]
                     ],
+                    "phone_segments": [
+                        {"start": segment[0], "end": segment[1], "word": segment[2]} for segment in utterance["phone_segments"]
+                    ],
                     "mel_spectrogram": npz[str(utterance_id)].item()["mel"][0][0],
                 }
                 yield chunk["speaker_id"] + "_" + utterance_id, result