Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found ambient_noise_audio.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found ambient_noise_audio.py

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Ambient Noise Collection dataset

This dataset is useful for reducing ASR model Hallucinations (especially Whisper), by default Whisper often transcribing non-speech audio as hallucination transcriptions.
This dataset attempts to improve ASR model that have hallucinations on non-speech audio.

Collected several audio from source:

  1. https://www.kaggle.com/datasets/nafin59/hospital-ambient-noise
  2. https://www.kaggle.com/datasets/solorzano/ambient-noise
  3. https://www.kaggle.com/datasets/minsithu/audio-noise-dataset
  4. https://www.kaggle.com/datasets/ivanj0/audiodata
  5. https://huggingface.co/datasets/Myrtle/CAIMAN-ASR-BackgroundNoise

Dataset info:
num_rows: 288

Format

Each example is a dictionary with the following fields:

{
  "path": "audio/ambient_noise_(1).wav",
  "audio": {
    "path": "audio/ambient_noise_(1).wav",
    "array": [...],
    "sampling_rate": 16000
  },
  "sentence": "<|nospeech|>"
}

Load dataset

Use HuggingFace datasets v2.18:

pip install datasets==2.18.0

Use HuggingFace datasets to load:

from datasets import load_dataset, Audio

try:
    dataset = load_dataset("Willy030125/ambient_noise_audio", trust_remote_code=True, encoding="utf-8", errors="ignore")
except:
    dataset = load_dataset("Willy030125/ambient_noise_audio", trust_remote_code=True)
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Models trained or fine-tuned on Willy030125/ambient_noise_audio