---
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:

```bash
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:

```bash
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:

```bash
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:

```bash
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:

```text
/mnt/taurus/data2/jiaxuanluo/rasst_eval/acl6060_zh_segments
```

RASST release data source:

```text
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.