Hugging Face's logo

Datasets:
haor
/
aec-challenge-48k

Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
path: string
size_bytes: int64
sha256: string
vs
2489872cf0c54bffbe6a87b836d0061986d57865f2ce4d9124545f7a53d196b7: string
README.source.zh-CN.md: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 249, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 580, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              path: string
              size_bytes: int64
              sha256: string
              vs
              2489872cf0c54bffbe6a87b836d0061986d57865f2ce4d9124545f7a53d196b7: string
              README.source.zh-CN.md: string

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

AEC Challenge 48 kHz Community Mirror

This dataset is a community mirror of the 48 kHz synthetic_fullband data from the 2022 AEC Challenge. The original upstream download is no longer available.

The recovered archive contains three synchronized audio tracks:

  • target: near-end target speech
  • mic: microphone mixture
  • farend: far-end reference audio

This is not an official Microsoft repository. The mirror preserves the recovered archive as-is and does not add generated training samples.

Files

File Size Description
synthetic-fullband-v1.zip 18,539,784,717 bytes 48 kHz target, mic, and far-end audio
README.source.zh-CN.md 84 bytes Source note included with the recovered data
MANIFEST.tsv small File sizes and SHA-256 checksums
SHA256SUMS.tsv small SHA-256 checksums

Integrity 

1ffa3b9fe98982fa9333946b5a29fc9e04b1b329aa8ef439a47eb987b4855d84  synthetic-fullband-v1.zip

Verify the archive after downloading:

sha256sum synthetic-fullband-v1.zip
unzip -t synthetic-fullband-v1.zip

Scope

This recovered subset does not contain the separate echo and nearend component tracks available in some AEC Challenge distributions. It is suitable for workflows that use synchronized target, mic, and farend tracks, but it cannot support component-level echo attribution without additional processing.
Downloads last month
54
Total file size:
18.5 GB