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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ValueError
Message: Not able to read records in the JSON file at hf://datasets/zhisheng01/SpatialSoundQA@61cfefdb1cddc7fc4567fd9bd6c10ab0b1d90120/train-qa-stage1.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['data']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 241, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
return _examples_to_batch(list(self.take(n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
yield from islice(self.ex_iterable, self.n)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
for key, pa_table in self.generate_tables_fn(**self.kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 170, in _generate_tables
raise ValueError(
ValueError: Not able to read records in the JSON file at hf://datasets/zhisheng01/SpatialSoundQA@61cfefdb1cddc7fc4567fd9bd6c10ab0b1d90120/train-qa-stage1.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['data']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.Need help to make the dataset viewer work? Open a discussion for direct support.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
SpatialSoundQA
Binaural Audio Dataset
We provide Audioset as anechoic (monaural audio) sound sources, and we apply reverberation to them to generate binaural audio.
We use the Audioset balanced set as training data, and the eval set as evaluation data. For reverberation, please download binaural.zip
How to apply convolution to create binaural audio from a monaural recording?
import numpy as np
import soundfile as sf
from scipy import signal
audio, sr = sf.read('demo.wav')
reverb = np.load('demo_revber.npy')
binaural = signal.fftconvolve(audio, reverb, mode='full')
# or you can use torchaudio to achieve this:
# audio = torch.from_numpy(audio)
# reverb = torch.from_numpy(reverb)
# binaural = torchaudio.functional.fftconvolve(audio, reverb, mode='full')
QA dataset
According to the paper, we provide Question-Answering pairs for stage 1, 2, and 3.
TODO
- Provide Audioset balanced set and evaluation set.
- Upload QA eval sets.
license: cc-by-nc-4.0
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