Delete horoscop_neti.py

horoscop_neti.py

@@ -1,60 +0,0 @@
-from datasets import DatasetBuilder, DatasetInfo, SplitGenerator, Split, Features, Value, Version, Audio
-import os
-
-class HoroscopNetiDataset(DatasetBuilder):
-    VERSION = Version("1.0.0")
-
-    def _info(self):
-        return DatasetInfo(
-            description="Descrierea datasetului tău.",
-            features=Features({
-                "audio": Audio(sampling_rate=16000),
-                "transcript": Value("string"),
-            }),
-            supervised_keys=None,
-            homepage="https://huggingface.co/datasets/iulik-pisik/horoscop-neti",
-            citation="Referința de citare a datasetului",
-        )
-
-    def _split_generators(self, dl_manager):
-        base_path = os.path.abspath(os.path.dirname(__file__))
-
-        return [
-            SplitGenerator(
-                name=Split.TRAIN,
-                gen_kwargs={
-                    "audio_dir": os.path.join(base_path, "audio/train"),
-                    "transcript_dir": os.path.join(base_path, "transcript/train"),
-                },
-            ),
-            SplitGenerator(
-                name=Split.TEST,
-                gen_kwargs={
-                    "audio_dir": os.path.join(base_path, "audio/test"),
-                    "transcript_dir": os.path.join(base_path, "transcript/test"),
-                },
-            ),
-            SplitGenerator(
-                name=Split.VALIDATION,
-                gen_kwargs={
-                    "audio_dir": os.path.join(base_path, "audio/validation"),
-                    "transcript_dir": os.path.join(base_path, "transcript/validation"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, audio_dir, transcript_dir):
-        for transcript_path in os.listdir(transcript_dir):
-            transcript_file = os.path.join(transcript_dir, transcript_path)
-            audio_file = os.path.join(audio_dir, transcript_path.replace(".txt", ".wav"))
-            
-            if os.path.isfile(transcript_file) and os.path.isfile(audio_file):
-                with open(transcript_file, "r", encoding="utf-8") as f:
-                    transcript = f.read().strip()
-                
-                example_id = os.path.splitext(transcript_path)[0]
-                
-                yield example_id, {
-                    "audio": audio_file,
-                    "transcript": transcript,
-                }