Delete jambal2.py

jambal2.py

@@ -1,72 +0,0 @@
-## -*- coding: utf-8 -*-
-#"""dataset.ipynb
-
-#Automatically generated by Colaboratory.
-
-#Original file is located at
- #   https://colab.research.google.com/drive/1wOuPHcfW52hoC68q5L32HM1uFqNSXvAl
-#"""
-
-import csv
-import os
-
-import datasets
-
-logger = datasets.logging.get_logger(__name__)
-
-_DESCRIPTION = "Custom dataset for extracting audio files and matching sentences."
-
-_DATA_URL = "https://huggingface.co/datasets/ugshanyu/jambal2/resolve/main"  # Replace with the URL of your data
-
-class CustomDataset(datasets.GeneratorBasedBuilder):
-
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "audio": datasets.Audio(sampling_rate=48_000),
-                "sentence": datasets.Value("string"),
-            }
-        )
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=("audio", "sentence"),
-            homepage=None,
-            citation=None,
-        )
-
-    def _split_generators(self, dl_manager):
-        audio_path = dl_manager.download_and_extract(_DATA_URL+"/test.zip")
-        csv_path = dl_manager.download_and_extract(_DATA_URL+"/col.csv")
-        # dir_inside_zip = os.listdir(audio_path)[0]  # Assume the first directory is the one you're interested in
-        # audio_path = os.path.join(audio_path, dir_inside_zip)
-        
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"audio_path": audio_path, "csv_path": csv_path},
-            )
-        ]
-
-    def _generate_examples(self, audio_path, csv_path):
-        print(audio_path)
-        print(csv_path)
-        key = 0
-        print(os.listdir(audio_path))
-        print("sda")
-        with open(csv_path, encoding="utf-8") as csv_file:
-            print("csv_file",csv_file)
-            csv_reader = csv.DictReader(csv_file)
-            for row in csv_reader:
-                original_sentence_id, sentence = row.values()
-                audio_file = f"{original_sentence_id}.mp3"
-                audio_file_path = os.path.join(audio_path, audio_file)
-                yield key, {
-                    "audio": audio_file_path,
-                    "sentence": sentence,
-                }
-                key += 1
-#!pip  install datasets