BrunoHays/muscat-merged-samples

MUSCAT — Merged Long-Form Samples

This dataset is a merged, long-form reformatting of goodpiku/muscat-eval (MUSCAT: A Multi-Device Dataset for Code-Switching ASR and Segmentation Evaluation).

The original MUSCAT release stores each conversation as many short, single-language segments. Here those segments are concatenated back into one continuous recording per conversation, so each row is a single long-form code-switching audio with inline language/timing markers. The layout mirrors BrunoHays/fleurs_code_switching_test to enable code-switching ASR evaluation with consistent tooling.

How it was built

• Source: goodpiku/muscat-eval, manual segmentation only (the configuration carrying ground-truth text).
• Grouping: segments are grouped by (device, recording) and ordered by their segment index, then concatenated.
• Audio: each segment is decoded, downmixed to mono and resampled to 16 kHz, then concatenated into a single waveform.
• Timestamps: the <start:..> / <end:..> markers are recomputed from the cumulative duration of each merged segment (not the original file timestamps), so they reflect the merged audio timeline.
• Languages: taken from the per-segment lid field (falling back to the language word encoded in the source filename when lid is empty).

Each of the 6 conversations is recorded by 3 devices (owl, aria, pi), yielding 18 merged samples.

Columns

• id: unique id for the merged sample.

• audio: concatenated waveform (16 kHz mono).

• transcription: plain concatenation of the segment transcripts.

• transcription_tagged: transcript with inline markers per segment, formatted as <lang><start:SS.ss>text<end:SS.ss>, e.g.

  <de><start:0.00>Hallo, Yining. ...<end:5.23><en><start:5.23>Yes, I find it really interesting...<end:12.52>
  

• duration_sec: total duration of the merged sample in seconds.

• languages: sorted unique languages present in the sample.

• device: recording device (owl, aria, pi).

• conv_lang: primary language pair of the conversation (en-de, en-tr, en-vi, en-zh).

• recording: source recording/conversation index.

Usage

from datasets import load_dataset

ds = load_dataset("BrunoHays/muscat-merged-samples", split="test")
print(ds[0]["transcription_tagged"][:200])

Limitations

• Audio is downmixed to mono 16 kHz; multi-device spatial information from the original recordings is not preserved.
• Segment joins are concatenative, so prosody and speaker continuity across joins are not guaranteed to be natural.

Citation

This dataset is derived from the MUSCAT benchmark. Please cite the original dataset:

@misc{muscat_eval,
  title        = {MUSCAT: A Multi-Device Dataset for Code-Switching ASR and Segmentation Evaluation},
  howpublished = {Hugging Face dataset \url{https://huggingface.co/datasets/goodpiku/muscat-eval}},
  note         = {Source dataset merged into long-form samples in BrunoHays/muscat-merged-samples}
}