Datasets:
File size: 7,205 Bytes
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language:
- en
- zh
license: apache-2.0
task_categories:
- automatic-speech-recognition
pretty_name: Voices in the Wild
tags:
- audio
- speech
- asr
- robustness
- noisy-speech
configs:
- config_name: default
data_files:
- split: distortion
path: data/distortion-*.parquet
- split: distortion_dropout
path: data/distortion_dropout-*.parquet
- split: distortion_dropout_noise
path: data/distortion_dropout_noise-*.parquet
- split: distortion_noise
path: data/distortion_noise-*.parquet
- split: dropout
path: data/dropout-*.parquet
- split: echo
path: data/echo-*.parquet
- split: echo_distortion
path: data/echo_distortion-*.parquet
- split: echo_distortion_dropout
path: data/echo_distortion_dropout-*.parquet
- split: echo_distortion_dropout_noise
path: data/echo_distortion_dropout_noise-*.parquet
- split: echo_dropout
path: data/echo_dropout-*.parquet
- split: echo_noise
path: data/echo_noise-*.parquet
- split: echo_recording
path: data/echo_recording-*.parquet
- split: echo_recording_distortion
path: data/echo_recording_distortion-*.parquet
- split: echo_recording_distortion_dropout
path: data/echo_recording_distortion_dropout-*.parquet
- split: echo_recording_distortion_dropout_noise
path: data/echo_recording_distortion_dropout_noise-*.parquet
- split: echo_recording_distortion_noise
path: data/echo_recording_distortion_noise-*.parquet
- split: echo_recording_dropout
path: data/echo_recording_dropout-*.parquet
- split: echo_recording_dropout_noise
path: data/echo_recording_dropout_noise-*.parquet
- split: far_field
path: data/far_field-*.parquet
- split: far_field_distortion
path: data/far_field_distortion-*.parquet
- split: far_field_distortion_dropout
path: data/far_field_distortion_dropout-*.parquet
- split: far_field_distortion_dropout_noise
path: data/far_field_distortion_dropout_noise-*.parquet
- split: far_field_dropout
path: data/far_field_dropout-*.parquet
- split: far_field_noise
path: data/far_field_noise-*.parquet
- split: far_field_recording
path: data/far_field_recording-*.parquet
- split: far_field_recording_distortion
path: data/far_field_recording_distortion-*.parquet
- split: far_field_recording_distortion_dropout
path: data/far_field_recording_distortion_dropout-*.parquet
- split: far_field_recording_distortion_dropout_noise
path: data/far_field_recording_distortion_dropout_noise-*.parquet
- split: far_field_recording_distortion_noise
path: data/far_field_recording_distortion_noise-*.parquet
- split: far_field_recording_dropout
path: data/far_field_recording_dropout-*.parquet
- split: far_field_recording_dropout_noise
path: data/far_field_recording_dropout_noise-*.parquet
- split: noise
path: data/noise-*.parquet
- split: noise_dropout
path: data/noise_dropout-*.parquet
- split: obstructed
path: data/obstructed-*.parquet
- split: obstructed_distortion
path: data/obstructed_distortion-*.parquet
- split: obstructed_distortion_dropout
path: data/obstructed_distortion_dropout-*.parquet
- split: obstructed_distortion_dropout_noise
path: data/obstructed_distortion_dropout_noise-*.parquet
- split: obstructed_dropout
path: data/obstructed_dropout-*.parquet
- split: obstructed_noise
path: data/obstructed_noise-*.parquet
- split: obstructed_recording
path: data/obstructed_recording-*.parquet
- split: obstructed_recording_distortion
path: data/obstructed_recording_distortion-*.parquet
- split: obstructed_recording_distortion_dropout
path: data/obstructed_recording_distortion_dropout-*.parquet
- split: obstructed_recording_distortion_dropout_noise
path: data/obstructed_recording_distortion_dropout_noise-*.parquet
- split: obstructed_recording_distortion_noise
path: data/obstructed_recording_distortion_noise-*.parquet
- split: obstructed_recording_dropout
path: data/obstructed_recording_dropout-*.parquet
- split: obstructed_recording_dropout_noise
path: data/obstructed_recording_dropout_noise-*.parquet
- split: recording
path: data/recording-*.parquet
- split: recording_distortion
path: data/recording_distortion-*.parquet
- split: recording_distortion_dropout
path: data/recording_distortion_dropout-*.parquet
- split: recording_distortion_dropout_noise
path: data/recording_distortion_dropout_noise-*.parquet
- split: recording_distortion_noise
path: data/recording_distortion_noise-*.parquet
- split: recording_dropout
path: data/recording_dropout-*.parquet
- split: recording_dropout_noise
path: data/recording_dropout_noise-*.parquet
- split: recording_noise
path: data/recording_noise-*.parquet
dataset_info:
features:
- name: audio
dtype: audio
- name: file_name
dtype: string
- name: audio_path
dtype: string
- name: question
dtype: string
- name: answer
dtype: string
- name: text
dtype: string
- name: subset
dtype: string
- name: prediction
dtype: string
- name: name
dtype: string
- name: index
dtype: int64
---
# Voices in the Wild
[**Project Page**](https://xzf-thu.github.io/Mega-ASR/) | [**Paper**](https://huggingface.co/papers/2605.19833) | [**GitHub**](https://github.com/xzf-thu/Mega-ASR)
Voices in the Wild (Voices-in-the-Wild-2M) is a large-scale automatic speech recognition (ASR) dataset designed for robustness training and evaluation under diverse, real-world acoustic conditions. It covers 7 classic acoustic phenomena (including noise, far-field speech, obstruction, echo/reverberation, recording artifacts, electronic distortion, and transmission dropout) and 54 physically plausible compound scenarios.
The dataset was introduced as part of the **Mega-ASR** framework to address the "acoustic robustness bottleneck" where models produce omissions or hallucinations under severe compositional distortions.
## Data Fields
- `file_name`: relative path to the audio file.
- `audio_path`: audio path retained for local tooling.
- `text`: transcription alias copied from `answer`.
- `answer`: reference transcription.
- `question`: transcription instruction.
- `subset`: normalized acoustic condition category.
- `prediction`: empty placeholder for model output.
- `name`: public sample identifier.
- `index`: integer sample index.
## Dataset Size
- **Total examples**: 645,925
- **Subset categories**: 54
## Loading
```python
from datasets import load_dataset, Audio
# Load the dataset from the Hub
ds = load_dataset("zhifeixie/Voices-in-the-Wild-2M")
ds = ds.cast_column("audio", Audio())
# Access an example
print(ds["far_field"][0])
```
## Citation
```bibtex
@misc{xie2026megaasrinthewild2speechrecognition,
title={Mega-ASR: Towards In-the-wild^2 Speech Recognition via Scaling up Real-world Acoustic Simulation},
author={Zhifei Xie and Kaiyu Pang and Haobin Zhang and Deheng Ye and Xiaobin Hu and Shuicheng Yan and Chunyan Miao},
year={2026},
eprint={2605.19833},
archivePrefix={arXiv},
primaryClass={cs.SD},
url={https://arxiv.org/abs/2605.19833},
}
``` |