# Dataset Card for "bengali-ai-train-set-tiny"



# Dataset Description

- **Homepage:** [OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking](https://arxiv.org/abs/2305.09688)
- **Paper:** [OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking](https://arxiv.org/abs/2305.09688)

### Whisper Model Information

- **Model Homepage:** [openai/whisper-tiny on Hugging Face](https://huggingface.co/openai/whisper-tiny)
- **Model Paper:** [Robust Speech Recognition via Large-Scale Weak Supervision](https://arxiv.org/abs/2212.04356)

## Dataset Summary

This dataset is designed to help finetune the `openai/whisper-tiny` model with additional information in the Bengali language. It consists of an additional 11,000 labeled audio samples from the OOD-Speech dataset, specifically designed for out-of-distribution benchmarking in Bengali.

## Supported Tasks and Leaderboards

The primary task supported by this dataset is automatic speech recognition (ASR) in the Bengali language, specifically for finetuning the `openai/whisper-tiny` model.

## Languages

The dataset is in Bengali.

## Dataset Structure

### Data Instances

Each instance in the dataset consists of an audio sample in Bengali along with its corresponding transcription.

### Data Fields

- `audio`: The audio sample in Bengali.
- `transcription`: The corresponding transcription of the audio sample in Bengali.

### Data Splits

The dataset is split into training and validation sets. The training set consists of 10,000 samples, and the validation set consists of 1,000 samples.

## Additional Information

### Dataset Curators

The dataset has been curated by "thesven".

### Licensing Information

Licensing information for the OOD-Speech dataset can be found in the original paper.

### Citation Information

    @article{OOD-Speech2023, title={OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking}, author={Authors of the OOD-Speech paper}, journal={arXiv preprint arXiv:2305.09688}, year={2023} }
arxiv:2305.09688 arxiv:2212.04356 region:us
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TAGS
#arxiv-2305.09688 #arxiv-2212.04356 #region-us 

# Dataset Card for "bengali-ai-train-set-tiny"



# Dataset Description

- Homepage: OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking
- Paper: OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking

### Whisper Model Information

- Model Homepage: openai/whisper-tiny on Hugging Face
- Model Paper: Robust Speech Recognition via Large-Scale Weak Supervision

## Dataset Summary

This dataset is designed to help finetune the 'openai/whisper-tiny' model with additional information in the Bengali language. It consists of an additional 11,000 labeled audio samples from the OOD-Speech dataset, specifically designed for out-of-distribution benchmarking in Bengali.

## Supported Tasks and Leaderboards

The primary task supported by this dataset is automatic speech recognition (ASR) in the Bengali language, specifically for finetuning the 'openai/whisper-tiny' model.

## Languages

The dataset is in Bengali.

## Dataset Structure

### Data Instances

Each instance in the dataset consists of an audio sample in Bengali along with its corresponding transcription.

### Data Fields

- 'audio': The audio sample in Bengali.
- 'transcription': The corresponding transcription of the audio sample in Bengali.

### Data Splits

The dataset is split into training and validation sets. The training set consists of 10,000 samples, and the validation set consists of 1,000 samples.

## Additional Information

### Dataset Curators

The dataset has been curated by "thesven".

### Licensing Information

Licensing information for the OOD-Speech dataset can be found in the original paper.



    @article{OOD-Speech2023, title={OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking}, author={Authors of the OOD-Speech paper}, journal={arXiv preprint arXiv:2305.09688}, year={2023} }
# Dataset Card for "bengali-ai-train-set-tiny" # Dataset Description

- Homepage: OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking
- Paper: OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking ### Whisper Model Information

- Model Homepage: openai/whisper-tiny on Hugging Face
- Model Paper: Robust Speech Recognition via Large-Scale Weak Supervision ## Dataset Summary

This dataset is designed to help finetune the 'openai/whisper-tiny' model with additional information in the Bengali language. It consists of an additional 11,000 labeled audio samples from the OOD-Speech dataset, specifically designed for out-of-distribution benchmarking in Bengali. ## Supported Tasks and Leaderboards

The primary task supported by this dataset is automatic speech recognition (ASR) in the Bengali language, specifically for finetuning the 'openai/whisper-tiny' model. ## Languages

The dataset is in Bengali. ## Dataset Structure ### Data Instances

Each instance in the dataset consists of an audio sample in Bengali along with its corresponding transcription. ### Data Fields

- 'audio': The audio sample in Bengali.
- 'transcription': The corresponding transcription of the audio sample in Bengali. ### Data Splits

The dataset is split into training and validation sets. The training set consists of 10,000 samples, and the validation set consists of 1,000 samples. ## Additional Information ### Dataset Curators

The dataset has been curated by "thesven". ### Licensing Information

Licensing information for the OOD-Speech dataset can be found in the original paper.



    @article{OOD-Speech2023, title={OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking}, author={Authors of the OOD-Speech paper}, journal={arXiv preprint arXiv:2305.09688}, year={2023} }
TAGS
#arxiv-2305.09688 #arxiv-2212.04356 #region-us 
 # Dataset Card for "bengali-ai-train-set-tiny" # Dataset Description

- Homepage: OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking
- Paper: OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking ### Whisper Model Information

- Model Homepage: openai/whisper-tiny on Hugging Face
- Model Paper: Robust Speech Recognition via Large-Scale Weak Supervision ## Dataset Summary

This dataset is designed to help finetune the 'openai/whisper-tiny' model with additional information in the Bengali language. It consists of an additional 11,000 labeled audio samples from the OOD-Speech dataset, specifically designed for out-of-distribution benchmarking in Bengali. ## Supported Tasks and Leaderboards

The primary task supported by this dataset is automatic speech recognition (ASR) in the Bengali language, specifically for finetuning the 'openai/whisper-tiny' model. ## Languages

The dataset is in Bengali. ## Dataset Structure ### Data Instances

Each instance in the dataset consists of an audio sample in Bengali along with its corresponding transcription. ### Data Fields

- 'audio': The audio sample in Bengali.
- 'transcription': The corresponding transcription of the audio sample in Bengali. ### Data Splits

The dataset is split into training and validation sets. The training set consists of 10,000 samples, and the validation set consists of 1,000 samples. ## Additional Information ### Dataset Curators

The dataset has been curated by "thesven". ### Licensing Information

Licensing information for the OOD-Speech dataset can be found in the original paper.



    @article{OOD-Speech2023, title={OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking}, author={Authors of the OOD-Speech paper}, journal={arXiv preprint arXiv:2305.09688}, year={2023} }
passage: TAGS
#arxiv-2305.09688 #arxiv-2212.04356 #region-us 
# Dataset Card for "bengali-ai-train-set-tiny"# Dataset Description

- Homepage: OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking
- Paper: OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking### Whisper Model Information

- Model Homepage: openai/whisper-tiny on Hugging Face
- Model Paper: Robust Speech Recognition via Large-Scale Weak Supervision## Dataset Summary

This dataset is designed to help finetune the 'openai/whisper-tiny' model with additional information in the Bengali language. It consists of an additional 11,000 labeled audio samples from the OOD-Speech dataset, specifically designed for out-of-distribution benchmarking in Bengali.## Supported Tasks and Leaderboards

The primary task supported by this dataset is automatic speech recognition (ASR) in the Bengali language, specifically for finetuning the 'openai/whisper-tiny' model.## Languages

The dataset is in Bengali.## Dataset Structure### Data Instances

Each instance in the dataset consists of an audio sample in Bengali along with its corresponding transcription.### Data Fields

- 'audio': The audio sample in Bengali.
- 'transcription': The corresponding transcription of the audio sample in Bengali.### Data Splits

The dataset is split into training and validation sets. The training set consists of 10,000 samples, and the validation set consists of 1,000 samples.## Additional Information### Dataset Curators

The dataset has been curated by "thesven".