| --- |
| language: |
| - en |
| - th |
| license: mit |
| size_categories: |
| - 10K<n<100K |
| task_categories: |
| - automatic-speech-recognition |
| dataset_info: |
| features: |
| - name: name |
| dtype: string |
| - name: audio |
| dtype: audio |
| - name: label |
| dtype: string |
| - name: start |
| dtype: float64 |
| - name: end |
| dtype: float64 |
| splits: |
| - name: train |
| num_bytes: 1068060017.248 |
| num_examples: 10137 |
| - name: test |
| num_bytes: 184950411.426 |
| num_examples: 2791 |
| download_size: 1037733018 |
| dataset_size: 1253010428.674 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| tags: |
| - finance |
| --- |
| |
| # RATCHADA-STT Dataset |
|
|
| ## Overview |
| The dataset includes recordings from earnings calls of publicly traded companies in Thailand. Each audio file is accompanied by a transcription and metadata such as company name, reporting period, and other relevant details. |
|
|
| ### Dataset Info |
| - **Total Duration:** |
| - Train: 26507.87 seconds (~ 7.36 hours) |
| - Test: 8376.28 seconds (~ 2.33 hours) |
|
|
| - **File Count:** |
| - Train: 10912 files |
| - Test: 2804 files |
|
|
| ### Dataset Structure |
| The dataset consists of recordings from various financial presentations categorized into different subfolders based on event and company. |
|
|
| #### Metadata |
| - **Features:** |
| - path: string |
| - array: sequence of float32 |
| - label: string |
| - start: float64 |
| - end: float64 |
|
|
| - **Dataset Size:** 2.11 GB |
|
|
| ### Example Usage |
|
|
| #### Load the Ratchada-STT dataset |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("ThinkingMachinesDataScience/Ratchada-STT") |
| ``` |
|
|
| #### Access train and test splits |
|
|
| ```python |
| train = dataset['train'] |
| test = dataset['test'] |
| ``` |
|
|
| #### Example usage with first sample |
|
|
| ```python |
| print(train[0]) |
| ``` |
|
|
| ### License |
| This dataset is distributed under the `MIT` License. |
|
|
| ### Citation |
| If you use this dataset in your research or work, please cite it as: |
|
|
| ``` |
| @dataset{thinkingmachinesdatascience/ratchada-stt, |
| title = {Ratchada-STT Dataset}, |
| publisher = {Hugging Face}, |
| year = {2024}, |
| author = {Thinking Machines Data Science}, |
| license = {MIT}, |
| } |
| ``` |
|
|
| ### Contribution Guidelines |
| - Ensure your PR adheres to the repository's coding standards. |
| - Include relevant tests and ensure they pass. |
| - Update documentation if your contribution changes any functionality. |
| - Follow the Hugging Face Community Code of Conduct. |
