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Add prepared ACL6060 zh streaming segments
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---
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.