--- 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} }