Datasets:

pranitchawla
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MMEdit-AT2A

id string	audio audio
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t-add_012109

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MMEdit-AT2A

MMEdit-AT2A is an MTEB-formatted composed audio retrieval adaptation of CocoBro/MMEdit-TestSet. Each query combines an unedited source recording with a natural-language edit instruction, and the corpus contains the corresponding edited recordings.

Schema

queries: id, audio (unedited source), and text (edit instruction)
corpus: id and audio (edited target)
qrels: query-id, corpus-id, and binary score

The test split contains 3,317 queries and 3,317 corpus items. Exact byte-identical target duplicates are all marked relevant, producing 3,337 qrels.

Construction

The source is pinned to commit ae4f9a772180a2a3c77c2e865b398e7d6f60bcee. Triplets are joined by audio_id. The construction preserves the original WAV payloads without padding, resampling, or loudness normalization. IDs are deterministic: q-{audio_id} for queries and t-{audio_id} for corpus items.

Known source-format discrepancies

Although the source card describes all clips as 24 kHz, mono, and ten seconds:

1,394 source files and 1,394 target files differ from ten seconds by more than 0.05 seconds (minimum observed duration: 2.3985 seconds).
143 targets (replace_one and replace_time) are 16 kHz, 32-bit PCM rather than 24 kHz, 16-bit PCM.
All 6,634 WAV files are mono.

These properties are retained so this derivative stays faithful to the source.

Benchmark limitation: source-only leakage

The native global candidate pool has a substantial shortcut: a model can often identify the edited target from source audio alone without using the instruction. A deterministic, non-neural 64-bin log-mel fingerprint baseline obtained the following full-pool results:

Diagnostic	Recall@1	mAP@10	nDCG@10
Random expectation	0.0003	0.0009	0.0014
Source-only spectral fingerprint	0.5849	0.6094	0.6216
Source duration + spectral fingerprint	0.8113	0.8376	0.8495

Consequently, scores on this benchmark must not be interpreted as measuring instruction use alone. Results should be accompanied by an audio-only ablation where possible. The native 3,317-pair design is intentionally preserved rather than introducing synthetic edits or reviewer-unapproved hard negatives.

Source reuse and duplicate handling

The audit found five byte-identical source groups, four of which have multiple distinct edited targets. It also found ten byte-identical target groups. The corpus retains every native item, while qrels mark every byte-identical copy of a query's target as relevant.

License and citation

The source dataset is published under Apache-2.0. Please also cite the original MMEdit work:

@article{tao2025mmedit,
  author = {Tao, Ye and Xu, Xuenan and Wu, Wen and Wang, Shuai and Wu, Mengyue and Zhang, Chao},
  journal = {arXiv preprint arXiv:2512.20339},
  title = {MMEDIT: A Unified Framework for Multi-Type Audio Editing via Audio Language Model},
  url = {https://arxiv.org/abs/2512.20339},
  year = {2025},
}

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Paper for pranitchawla/MMEdit-AT2A

MMEDIT: A Unified Framework for Multi-Type Audio Editing via Audio Language Model

Paper • 2512.20339 • Published Jan 19