Datasets:
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 withwav,offset, andduration.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.
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