Datasets:
Prajwal-143
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# Dataset Card for Dataset Name
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<!-- Provide a quick summary of the dataset. -->
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This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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## Dataset Details
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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- **Curated by:**
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- **Shared by [optional]:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Repository:**
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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[More Information Needed]
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### Out-of-Scope Use
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## Dataset Structure
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## Dataset Creation
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### Curation Rationale
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<!-- Motivation for the creation of this dataset. -->
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[More Information Needed]
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### Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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#### Data Collection and Processing
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#### Who are the source data producers?
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<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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### Annotations [optional]
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<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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#### Annotation process
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<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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[More Information Needed]
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#### Who are the annotators?
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<!-- This section describes the people or systems who created the annotations. -->
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[More Information Needed]
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#### Personal and Sensitive Information
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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[More Information Needed]
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## More Information [optional]
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## Dataset Card Authors [optional]
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## Dataset Card Contact
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# Dataset Card for Dataset Name
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## Dataset Details
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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This dataset is a combination of the Common Voice 16.0 and Open SLR datasets. It has been meticulously curated, normalized to a 16kHz sampling rate, and cleaned for better usability. This dataset aims to provide a comprehensive collection of speech data for various applications, including speech recognition, natural language processing, and machine learning research.
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- **Curated by:** Prajwal Pharande
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- **Language(s) (NLP):** Tamil
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** https://commonvoice.mozilla.org/ta/datasets and https://www.openslr.org/127/
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## Uses
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This dataset can be used for a wide range of applications, including:
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- Speech recognition system training and evaluation
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- Natural language processing tasks involving spoken language
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- Machine learning research on speech-related problems
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- Voice synthesis and voice cloning experiments
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## Dataset Structure
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- ```path : Name of audio file which is converted into array.```
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- ```audio : Array of an audio file with sampling rate.```
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- ```sentence : Transcription of an audio file in Tamil language. ```
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## Dataset Creation
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#### Data Collection and Processing
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- Audio converted to arrays : All audio samples have been normalized to a 16kHz sampling rate, ensuring consistency and high quality across the dataset.
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- Diverse Sources : The dataset combines data from Common Voice and Open SLR, providing a diverse range of voices, accents, and languages.
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- Cleaned Data : Extensive efforts have been made to clean the data, removing noise, punctuations, duplicates, and irrelevant metadata, to enhance usability and accuracy.
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#### Who are the source data producers?
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<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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- ```Mozilla``` : A large-scale, publicly available dataset of speech data collected by Mozilla, contributed by volunteers worldwide.
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- ```Open SLR``` : Various open speech and language resources collected and shared by the open-source community through Open Speech and Language Resources.
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## Dataset Card Authors
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*Prajwal Pharande
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## Dataset Card Contact
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pharandeprajwal@gmail.com
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