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---
dataset_info:
features:
- name: input_features
sequence:
sequence: float32
- name: labels
sequence: int64
splits:
- name: valid
num_bytes: 961362832
num_examples: 1000
- name: train
num_bytes: 9612150048
num_examples: 10000
download_size: 1670313269
dataset_size: 10573512880
---
# 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} } |