|
--- |
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language: |
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- bn |
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license: cc-by-4.0 |
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size_categories: |
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- 10K<n<100K |
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task_categories: |
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- automatic-speech-recognition |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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- name: transcription |
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dtype: string |
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- name: file_path |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 2345138893.961 |
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num_examples: 6533 |
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- name: validation |
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num_bytes: 2374606148.554 |
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num_examples: 6594 |
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- name: train |
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num_bytes: 23111288170.312 |
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num_examples: 64491 |
|
download_size: 31898660522 |
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dataset_size: 27831033212.827 |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: data/test-* |
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- split: validation |
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path: data/validation-* |
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- split: train |
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path: data/train-* |
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tags: |
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- speech-recognition |
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- Bangladeshi Bangla |
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- Bengali |
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- speech-corpus |
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--- |
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|
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# Dataset Card for SUBAK.KO |
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|
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## Table of Contents |
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- [Dataset Card for SUBAK.KO](#dataset-card-for-SUBAK.KO) |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) |
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- [Who are the source language producers?](#who-are-the-source-language-producers) |
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- [Annotations](#annotations) |
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- [Annotation process](#annotation-process) |
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- [Who are the annotators?](#who-are-the-annotators) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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|
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## Dataset Description |
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|
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- **Developed By** Dept. of CSE, SUST, Bangladesh |
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- **Paper:** [Bangladeshi Bangla speech corpus for automatic speech recognition research](https://www.sciencedirect.com/science/article/abs/pii/S0167639321001370) |
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- **Point of Contact:** [Prof. Dr. M. Shahidur Rahman, Dept. of CSE, SUST](mailto:[email protected]) |
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### Dataset Summary |
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SUBAK.KO (সুবাক্য), a publicly available annotated Bangladeshi standard Bangla speech corpus, is compiled for automatic speech recognition research. |
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This corpus contains 241 hours of high-quality speech data, including 229 hours of read speech data and 12 hours of broadcast speech data. |
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The read speech segment is recorded in a noise-proof studio environment from 33 male and 28 female native Bangladeshi Bangla speakers |
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representing 8 divisions/34 districts of Bangladesh. Furthermore, the read speech segment comprises a total of 1 hour and 30 minutes |
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of recorded speech provided by two second language (L2) speakers. The broadcast speech segment is collected from YouTube. SUBAK.KO has |
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been manually annotated under human supervision to ensure gold-standard labels. The [corresponding paper](https://www.sciencedirect.com/science/article/abs/pii/S0167639321001370) reports detailed information about |
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the development and baseline performance of SUBAK.KO and cross-dataset evaluation in comparison to [LB-ASRTD](https://openslr.org/53/) corpus. |
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SUBAK.KO is developed by the researchers from the **Department of Computer Science and Engineering (CSE)** at **Shahjalal University of Science and Technology (SUST), |
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Bangladesh** with financial support from the Higher Education Quality Enhancement Project (AIF Window 4, CP 3888) for “The Development of |
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Multi-Platform Speech and Language Processing Software for Bangla” of the University Grants Commission (UGC), Bangladesh. |
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### Example Usage |
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To load the full SUBAK.KO corpus, use the following code: |
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|
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("SUST-CSE-Speech/SUBAK.KO") |
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``` |
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To load a specific split of the SUBAK.KO, define the split and set the streaming mode as True in the following way: |
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|
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("SUST-CSE-Speech/SUBAK.KO", split="test", streaming=True) |
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``` |
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More documentation on streaming can be found [from this link.](https://huggingface.co./docs/datasets/stream#split-dataset) |
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Alternatively, you can manually download the zipped SUBAK.KO folder from [this HuggingFace directory.](https://huggingface.co./datasets/ahnafsamin/SUBAK.KO/tree/main/Data) |
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The csv files corresponding to the train, validation and test splits can be found in the same directory. |
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### Supported Tasks and Leaderboards |
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This dataset is designed for the automatic speech recognition task. The associated paper provides the baseline results on SUBAK.KO corpus. |
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### Languages |
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Bangladeshi standard Bangla |
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## Dataset Structure |
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### Data Instances |
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A typical data point comprises the path to the audio file and its transcription. |
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``` |
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{ |
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'audio': {'path': '/home/username/subakko/part5/wav5/e4/TNM22_MESBA_page_257-258_5_5_Labeled_by_Tomal-20.wav', |
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'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32), |
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'sampling_rate': 16000}, |
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'transcript': 'তারপর চার মাস তিনি ছিলেন কেন্দ্রীয় গোয়েন্দা সংস্থার তত্বাবধানে এক নিরাপদ জায়গায়', |
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'path': '/subakko/part5/wav5/e4/TNM22_MESBA_page_257-258_5_5_Labeled_by_Tomal-20.wav' |
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} |
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``` |
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### Data Fields |
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- audio: A dictionary containing the path to the original audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`. |
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- transcription: The orthographic transcription |
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- file_path: The relative path to the audio file |
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### Data Splits |
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SUBAK.KO has been subdivided into three splits for train, validation and test. It is strongly advised to use identical data splits |
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for research purposes to facilitate benchmarking across various models. |
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|
|
|
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| | Train | Validation | Test | |
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| ---------------- | ---------|------------|----------| |
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| Utterances | 64491 | 6594 | 6533 | |
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| Duration | 200.3 hrs| 20.5 hrs | 20.3 hrs | |
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## Additional Information |
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### Licensing Information |
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[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/deed.en) |
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### Citation Information |
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Please cite the following paper if you use the corpus. |
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|
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``` |
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@article{kibria2022bangladeshi, |
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title={Bangladeshi Bangla speech corpus for automatic speech recognition research}, |
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author={Kibria, Shafkat and Samin, Ahnaf Mozib and Kobir, M Humayon and Rahman, M Shahidur and Selim, M Reza and Iqbal, M Zafar}, |
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journal={Speech Communication}, |
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volume={136}, |
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pages={84--97}, |
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year={2022}, |
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publisher={Elsevier} |
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} |
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``` |
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### Contributions |
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|
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Thanks to [Ahnaf Mozib Samin](https://huggingface.co./ahnafsamin) for adding this dataset. |
