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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. | |