Update tamil_eng_data.py

tamil_eng_data.py

@@ -12,93 +12,33 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-"""Filtered Tamil ASR corpus collected from common_voice 11, fleurs, openslr65, openslr127 and ucla corpora filtered for duration between 5 - 25 secs"""
-
+"""Simple sentences Dataset - contains 90 mins of speech data"""
 
+import csv
 import json
 import os
 
 import datasets
 
 _CITATION = """\
-@misc{mile_1,
-  doi = {10.48550/ARXIV.2207.13331},
-  url = {https://arxiv.org/abs/2207.13331},
-  author = {A, Madhavaraj and Pilar, Bharathi and G, Ramakrishnan A},
-  title = {Subword Dictionary Learning and Segmentation Techniques for Automatic Speech Recognition in Tamil and Kannada},
-  publisher = {arXiv},
-  year = {2022},
-}
-@misc{mile_2,
-  doi = {10.48550/ARXIV.2207.13333},
-  url = {https://arxiv.org/abs/2207.13333},
-  author = {A, Madhavaraj and Pilar, Bharathi and G, Ramakrishnan A},
-  title = {Knowledge-driven Subword Grammar Modeling for Automatic Speech Recognition in Tamil and Kannada},
-  publisher = {arXiv},
+@misc{simpledata_1,
+  title = {Whisper model for tamil-to-eng translation},
+  publisher = {Achitha},
   year = {2022},
 }
-@inproceedings{he-etal-2020-open,
-    title = {{Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems}},
-    author = {He, Fei and Chu, Shan-Hui Cathy and Kjartansson, Oddur and Rivera, Clara and Katanova, Anna and Gutkin, Alexander and Demirsahin, Isin and Johny, Cibu and Jansche, Martin and Sarin, Supheakmungkol and Pipatsrisawat, Knot},
-    booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
-    month = may,
-    year = {2020},
-    address = {Marseille, France},
-    publisher = {European Language Resources Association (ELRA)},
-    pages = {6494--6503},
-    url = {https://www.aclweb.org/anthology/2020.lrec-1.800},
-    ISBN = "{979-10-95546-34-4},
-  }
-@misc{https://doi.org/10.48550/arxiv.2211.09536,
-  doi = {10.48550/ARXIV.2211.09536},
-  
-  url = {https://arxiv.org/abs/2211.09536},
-  
-  author = {Kumar, Gokul Karthik and S, Praveen and Kumar, Pratyush and Khapra, Mitesh M. and Nandakumar, Karthik},
-  
-  keywords = {Computation and Language (cs.CL), Machine Learning (cs.LG), Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering},
-  
-  title = {Towards Building Text-To-Speech Systems for the Next Billion Users},
-  
-  publisher = {arXiv},
-  
+@misc{simpledata_2,
+  title = {Fine-tuning whisper model},
+  publisher = {Achitha},
   year = {2022},
-  
-  copyright = {arXiv.org perpetual, non-exclusive license}
-}
-@inproceedings{commonvoice:2020,
-  author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
-  title = {Common Voice: A Massively-Multilingual Speech Corpus},
-  booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
-  pages = {4211--4215},
-  year = 2020
-}
-@misc{https://doi.org/10.48550/arxiv.2205.12446,
-  doi = {10.48550/ARXIV.2205.12446},
-  
-  url = {https://arxiv.org/abs/2205.12446},
-  
-  author = {Conneau, Alexis and Ma, Min and Khanuja, Simran and Zhang, Yu and Axelrod, Vera and Dalmia, Siddharth and Riesa, Jason and Rivera, Clara and Bapna, Ankur},
-  
-  keywords = {Computation and Language (cs.CL), Machine Learning (cs.LG), Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering},
-  
-  title = {FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech},
-  
-  publisher = {arXiv},
-  
-  year = {2022},
-  
-  copyright = {Creative Commons Attribution 4.0 International}
 }
 """
-
 _DESCRIPTION = """\
-The corpus contains roughly 1000 hours of audio and trasncripts in Tamil language. The transcripts have beedn de-duplicated using exact match deduplication.
+The data contains roughly one and half hours of audio and transcripts in Tamil language.
 """
 
 _HOMEPAGE = ""
 
-_LICENSE = "https://creativecommons.org/licenses/"
+_LICENSE = "MIT"
 
 
 _METADATA_URLS = {
@@ -111,8 +51,8 @@ _URLS = {
     
 }
 
-class TamilASRCorpus(datasets.GeneratorBasedBuilder):
-    """Tamil ASR Corpus 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):
@@ -122,6 +62,7 @@ class TamilASRCorpus(datasets.GeneratorBasedBuilder):
                 "path": datasets.Value("string"),
                 "sentence": datasets.Value("string"),
                 "length": datasets.Value("float")
+               
             }
         )
         return datasets.DatasetInfo(