Update simple_tamil.py

simple_tamil.py

@@ -1,40 +1,30 @@
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
+"""Tamil Dataset - contains 90 mins of speech data"""
 
+import csv
 import json
 import os
 
 import datasets
 
 _CITATION = """\
-@misc{simple_1,
-  doi = {10.48550/ARXIV.2207.13331},
-  
-  author = {Achitha},
-  title = {simple tamil sentences dataset Automatic Speech Recognition in Tamil},
-  publisher = {achitha},
+@misc{simpledata_1,
+  title = {Whisper model for tamil-to-eng translation},
+  publisher = {Achitha},
+  year = {2022},
+}
+@misc{simpledata_2,
+  title = {Fine-tuning whisper model},
+  publisher = {Achitha},
   year = {2022},
 }
 """
-
 _DESCRIPTION = """\
-The data contains audio and trasncripts in Tamil language. The transcripts have been de-duplicated using exact match deduplication.
+The data contains roughly one and half hours of audio and trasncripts in Tamil language.
 """
 
 _HOMEPAGE = ""
 
-_LICENSE = "https://creativecommons.org/licenses/"
+_LICENSE = ""
 
 
 _METADATA_URLS = {
@@ -47,8 +37,8 @@ _URLS = {
     
 }
 
-class simpleData(datasets.GeneratorBasedBuilder):
-    """simpleData contains transcribed speech corpus for training ASR systems for Tamil language."""
+class simple_data(datasets.GeneratorBasedBuilder):
+   
 
     VERSION = datasets.Version("1.1.0")
     def _info(self):
@@ -57,7 +47,7 @@ class simpleData(datasets.GeneratorBasedBuilder):
                 "audio": datasets.Audio(sampling_rate=16_000),
                 "path": datasets.Value("string"),
                 "sentence": datasets.Value("string"),
-                "length": datasets.Value("float")
+               
             }
         )
         return datasets.DatasetInfo(
@@ -121,4 +111,4 @@ class simpleData(datasets.GeneratorBasedBuilder):
                     yield id_, result
                     id_ += 1
             elif inside_clips_dir:
-                break
+                break