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--- |
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license: cc-by-4.0 |
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language: |
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- zh |
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tags: |
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- audio |
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- speech |
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pretty_name: My Audio Dataset |
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--- |
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# Dataset Card for Assignment 2 |
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## Dataset Description (数据集简介) |
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This is a Chinese speech dataset created for LIN3046 Assignment 2. |
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It contains 50 short sentences recorded by a native Mandarin speaker. |
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The data is segmented into individual WAV files and annotated in the metadata.csv file. |
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* **Total Duration:** > 3 minutes |
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* **Language:** Chinese (zh) |
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* **Format:** WAV (44.1kHz, 16-bit) |
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* ## Reflection (反思与挑战) |
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During the creation of this dataset, I encountered and overcame several technical challenges: |
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1. **Audio Formatting:** Initially, I exported files with automatic numbering (e.g., `01-s001.wav`), which caused a mismatch with the `metadata.csv`. I learned to use Audacity's "Label/Track Name" export feature to ensure filenames strictly matched the IDs (e.g., `s001.wav`). |
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2. **Metadata Encoding:** I experienced issues with hidden formatting characters when editing CSV files on macOS. I resolved this by directly editing the `metadata.csv` on the Hugging Face web interface to ensure strict CSV formatting. |
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3. **Platform Latency:** I learned that server-side caching on Hugging Face can sometimes cause temporary `RowsPostProcessingError` alerts even when the data integrity is correct. |
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Through this process, I gained a deeper understanding of strict data formatting requirements in computational linguistics. |
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