SaUrSiSynth

Tri-parallel synthetic spoken language translation corpus for Saraiki, Urdu, and Sindhi.

Summary

Item	Value
Aligned triplets	2,687
Audio files	8,061
Total duration	6.91 h
Saraiki / Urdu / Sindhi	2.31 / 2.30 / 2.31 h
Domains	Gen
Splits	Train 6,447
Sample rate	16 kHz mono WAV

Pipeline: Saraiki-Urdu bitext -> NLLB-200-distilled-600M completes Sindhi (Urdu->Sindhi pivot only) -> cleaning -> OmniVoice TTS -> quality filter -> domain packaging (Gen / Cul / HLT).

Layout

huggingface/
  Train_data/   # train WAVs
  Dev_data/     # validation WAVs
  Test_data/    # test WAVs
  parallel_text/
    triplets.tsv
    sample_manifest.jsonl
    SAMPLE.csv
  manifest.jsonl
  metadata.csv
  dataset_meta.json
  load_saursisynth.py
  README.md

AudioFolder uses root metadata.csv (file_name = relative WAV path) plus the split folders above.

Schema

manifest.jsonl / metadata.csv fields:

Field	Description
utt_id / id	Utterance id
triplet_id	Shared id across Sa/Ur/Si
split	Train / Dev / Test
lang / language	Saraiki / Urdu / Sindhi
lang_code	Sa / Ur / Si
domain	Gen / Cul / HLT
gender	Speaker prompt gender
text	Transcript
wav_path / file_name	Relative path to WAV
duration_sec	Clip duration

How to load

from datasets import load_dataset
ds = load_dataset("hjav/saursisynth")
print(ds)
# DatasetDict with train / validation / test; audio decoded via AudioFolder

Local helper (same folder layout):

from load_saursisynth import load_with_datasets, load_manifest
ds = load_with_datasets(".")
rows = load_manifest(".")

License

CC-BY-4.0 for the dataset release (confirm before public upload if institutional review is required).

Code for reproducing the pipeline is Apache-2.0 on GitHub.

Citation

@inproceedings{saursisynth2027,
  title={{SaUrSiSynth}: A Multilingual Synthetic Corpus for Low-Resource Spoken Language Translation in Indo-Aryan Languages},
  author={Javed, },
  booktitle={Proc.\ },
  year={2027}
}

Links

• GitHub (code): https://github.com/hjy895/SaUrSiSynth
• Dataset: https://huggingface.co/datasets/hjav/saursisynth