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Hui519/WildElder

WILDELDER: A CHINESE ELDERLY SPEECH DATASET FROM THE WILD WITH FINE-GRAINED MANUAL ANNOTATIONS Paper: https://huggingface.co/papers/2510.09344Code: https://github.com/NKU-HLT/WildElder WildElder is a speech dataset focused on elderly scenarios. It contains raw audio and corresponding text annotations and can be used for ASR, speaker-related tasks, and front-/back-end speech processing research. The data was collected and cleaned from real-world environments to preserve diversity… See the full description on the dataset page: https://huggingface.co/datasets/Hui519/WildElder.

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WILDELDER: A CHINESE ELDERLY SPEECH DATASET FROM THE WILD WITH FINE-GRAINED MANUAL ANNOTATIONS

Paper: https://huggingface.co/papers/2510.09344 Code: https://github.com/NKU-HLT/WildElder

WildElder is a speech dataset focused on elderly scenarios. It contains raw audio and corresponding text annotations and can be used for ASR, speaker-related tasks, and front-/back-end speech processing research. The data was collected and cleaned from real-world environments to preserve diversity and realistic noise conditions.

Viewer Configuration

This repository is configured for the Hugging Face Dataset Viewer using split-level CSV metadata files:

  • train.csv
  • validation.csv
  • test.csv
  • file_name: relative path to the audio file in the repository
  • text: transcription
  • utt_id: utterance ID from the original Kaldi-style manifest
  • source_path: original path recorded in wav.scp

The Dataset Viewer uses these CSV files and resolves the linked files from the existing audio/ directory, so the corpus can be browsed without duplicating audio under new split folders.

Loading

python
from datasets import load_dataset

dataset = load_dataset("Hui519/WildElder")
print(dataset["train"][0])

Notes

  • validation is generated from the original data_split/dev manifest.
  • The Dataset Viewer is configured to use the extracted audio/ tree directly.

Directory Structure

  • audio/
  • old_bozhu_download/.../*.wav: audio files
  • old_bozhu_download/.../*.txt: sidecar text annotations
  • data_split/
  • dev|test|train/wav.scp: entries in the form utt_id path/to/audio.wav
  • dev|test|train/text: entries in the form utt_id transcription
  • train.csv, validation.csv, test.csv
  • Viewer-oriented split manifests generated from data_split/

Annotations and File Formats

  • audio
  • Example: audio/old_bozhu_download/B_bozhu_1/1/audio_004.wav
  • wav.scp
  • Example: old_bozhu_download_B_bozhu_1_1_audio_004 WildElder/audio/old_bozhu_download/B_bozhu_1/1/audio_004.wav
  • text
  • Example: old_bozhu_download_B_bozhu_1_1_audio_004 勾股定理就是三角形斜边的平方等于两个直角边的平方和,

Copyright and Data Rights

  • Source: The dataset content is extracted/derived from a third-party platform. We do not own or claim the original copyright to the underlying audio or transcripts.
  • Rights: All rights to the original content remain with the respective platform and original rightsholders. Any trademarks or copyrighted works referenced are the property of their respective owners.
  • Intended use: Provided strictly for academic research and internal testing. Redistribution or commercial use may infringe third-party rights and is not authorized here.

Takedown Policy

  • If you are a rightsholder (or represent one) and believe that any material in WildElder infringes your rights, please contact the maintainers. Upon verified request, we will promptly remove or restrict access to the relevant content.

License and Citation

  • For academic research and internal testing. For commercial use, please contact the maintainers first.
bibtex
@article{wang2025wildelder,
  title={WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations},
  author={Wang, Hui and Zhou, Jiaming and He, Jiabei and Sun, Haoqin and Qin, Yong},
  journal={arXiv preprint arXiv:2510.09344},
  year={2025}
}
Hui519/WildElder · CoolFace