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rasst-demo-acl6060-zh-segments

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sglang-omni
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speech-translation
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acl6060
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metadata 
license: other
pretty_name: RASST Demo ACL6060 Chinese Streaming Segments
tags:
  - rasst
  - sglang-omni
  - qwen3-omni
  - speech-translation
  - streaming-translation
  - acl6060
  - profiling

RASST Demo ACL6060 Chinese Streaming Segments

This dataset contains the prepared ACL6060 en-to-zh streaming evaluation segments used by the RASST demo and sglang-omni thinker decode profiling workflow.

It is a convenience bundle for reproducing N=32 streaming load experiments. The source ACL6060 data is public; this repository packages derived 16 kHz mono WAV clips plus SimulEval-compatible source and target lists.

Contents

  • seg/: 468 cropped WAV segments.
  • segments.source: absolute segment paths from the original Taurus preparation run, one per line.
  • segments.target: Chinese references, one per line.
  • audio.yaml: SimulEval-style segment manifest with wav, offset, and duration.
  • ref.txt: Chinese references for scoring.
  • source_text.txt: English source text.
  • segments.meta.jsonl: per-segment provenance.
  • SHA256SUMS: checksums for all uploaded files except itself.
  • dataset_manifest.json: compact generation and provenance metadata.

Dataset Summary

  • Task: English audio to Chinese streaming speech translation.
  • Segment count: 468.
  • Talks: 5 ACL 2022 talks.
  • Audio format: WAV, 16 kHz, mono.
  • Total prepared audio duration: 3107.332 seconds.

Reproduction Usage

Download:

huggingface-cli download gavinlaw/rasst-demo-acl6060-zh-segments \
  --repo-type dataset \
  --local-dir /path/to/acl6060_zh_segments

Use with the sglang-omni diagnostic package:

cd /path/to/sglang-omni
export DATA_DIR=/path/to/acl6060_zh_segments

ENABLE_MIXED_CHUNK= CHUNKED_PREFILL_SIZE=0 \
  bash benchmarks/diagnostics/thinker_decode_forward/scripts/p1_nsys_decode.sh

Generation

The prepared directory was generated from the RASST ACL zh main-result input manifest and ACL6060 full-talk WAV files using:

python eval/streaming_sst/prepare_acl6060_segments.py \
  --out-dir /mnt/taurus/data2/jiaxuanluo/rasst_eval/acl6060_zh_segments

Equivalent generator in the sglang-omni fork:

python benchmarks/diagnostics/qwen3_omni_tp_vllm_gap/eval/prepare_acl6060_segments.py \
  --out-dir benchmarks/diagnostics/thinker_decode_forward/artifacts/data/acl6060_zh_segments

Provenance

Original local preparation path:

/mnt/taurus/data2/jiaxuanluo/rasst_eval/acl6060_zh_segments

RASST release data source:

gavinlaw/rasst-main-result-data

The upstream ACL6060 source data is public. Please check the upstream dataset terms before redistributing modified copies outside this research reproduction context.