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--- |
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language: |
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- zh |
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- en |
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tags: |
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- automatic-speech-recognition |
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- code-switching |
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- audio |
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- speech-processing |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- automatic-speech-recognition |
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--- |
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## Dataset Summary |
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<div align="center"> |
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<img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" width="50" height="50"/> |
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</div> |
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This dataset is a curated compilation of **[SECoMiCSC](https://magichub.com/datasets/chinese-english-code-mixing-conversational-speech-corpus/)**, **[DevCECoMiCSC](https://magichub.com/datasets/dev-set-of-chinese-english-code-mixing-conversational-speech-corpus/)**, and **[BAAI/CS-Dialogue](https://huggingface.co/datasets/BAAI/CS-Dialogue)**, specifically processed for Code-Switching ASR research. |
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```text |
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root/ |
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├── audio/ |
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│ ├── SECoMiCSC/ # Chunked segments from SECoMiCSC |
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│ ├── DevCECoMiCSC/ # Chunked segments from DevCECoMiCSC |
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│ └── CS_Dialogue/ # Extracted <MIX> segments from BAAI/CS-Dialogue |
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├── metadata.jsonl # Universal index containing paths, transcripts, and metadata |
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└── data_preparation.py # Script to reproduce this dataset from raw sources |
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``` |
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## Usage |
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```python |
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from datasets import load_dataset, Audio |
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# Load with streaming (Recommended) |
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data = load_dataset("1uckyan/code-switch_chunks", split="train", streaming=True) |
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# Important: Cast to 16kHz |
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data = data.cast_column("audio", Audio(sampling_rate=16000)) |
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for sample in data: |
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print(f"Source: {sample['source']} | Text: {sample['sentence']}") |
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break |
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``` |
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## Data Sources & Creation |
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| Source Dataset | Original Content | Processing / Cleaning Logic | |
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| --- | --- | --- | |
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| **SECoMiCSC** | Conversational Speech | **VAD-based Chunking**: Split >1.8s gaps, merged to 5-15s segments. |
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| **DevCECoMiCSC** | Conversational Speech | **VAD-based Chunking**: Same as above. | |
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| **BAAI/CS-Dialogue** | Dialogue | **Tag Filtering**: Only retained utterances tagged as <MIX> |
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## Reproducibility |
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We provide the `data_preparation.py` script in this repository to ensure the transparency and reproducibility of our data processing pipeline. |
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If you have access to the raw source datasets, you can recreate this specific processed version by running: |
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```bash |
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python data_preparation.py \ |
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--secomicsc_root /path/to/local/ASR-SECoMiCSC \ |
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--dev_root /path/to/local/ASR-DevCECoMiCSC \ |
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--cs_dialogue_root /path/to/local/CS_Dialogue/data/short_wav \ |
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--output_dir ./output_Dataset |
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``` |
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## License & Citations |
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This dataset is a derivative work. We adhere to the licenses of the original source datasets: |
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* **BAAI/CS-Dialogue**: Licensed under **CC BY-NC-SA 4.0**. |
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* **SECoMiCSC / DevCECoMiCSC**: Please refer to their original publications for usage rights. |
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If you use this dataset, please cite the original authors of the source datasets and our work. |
