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LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 ha3ci-lab
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,3 +1,73 @@
----
-license: mit
----
+---
+language:
+  - en
+  - zh
+  - de
+  - ja
+license: mit
+base_model:
+  - openai/whisper-large-v3
+  - Qwen/Qwen3-8B
+tags:
+  - speech-translation
+  - simultaneous-translation
+  - streaming
+  - fairseq
+  - peft
+---
+
+# SimulSense
+
+Speech-to-text translation from English speech to **Chinese, German, or Japanese text**.
+
+This release contains one **SimulSense** unit detector and three translation models. It accompanies the [paper on IEEE Xplore](https://ieeexplore.ieee.org/document/11732033). Speech synthesis and reinforcement learning models are outside the scope of this release.
+
+## Files
+
+| Directory | Contents |
+| --- | --- |
+| `SimulSense/` | Shared unit detector, configuration, and Whisper decoder adapter |
+| `translation/en-zh/` | English → Chinese speech-to-text projection and Qwen adapter |
+| `translation/en-de/` | English → German speech-to-text projection and Qwen adapter |
+| `translation/en-ja/` | English → Japanese speech-to-text projection and Qwen adapter |
+| `simulsense-st-source.tar.gz` | Matching source distribution, dependency lockfile, instructions, and licenses |
+
+`WEIGHTS_MANIFEST.json` records file sizes and SHA-256 checksums. `WEIGHTS_VALIDATION.json` records parameter/copy equality checks performed during export. Translation checkpoint selection labels in that report identify local checkpoints; they are not benchmark results.
+
+## Use
+
+Download and extract the source archive, then follow its README:
+
+```bash
+hf download tan-ht/SimulSense simulsense-st-source.tar.gz --local-dir .
+tar -xzf simulsense-st-source.tar.gz
+cd simulsense-st
+uv sync --frozen
+uv run python scripts/download_models.py --target all
+uv run python scripts/run.py evaluate \
+  --target zh \
+  --checkpoint checkpoints/translation/en-zh \
+  --detector checkpoints/SimulSense \
+  --source /path/to/source.txt --reference /path/to/target.txt \
+  --output outputs/en-zh --device 0 --chunk-ms 2000 --threshold 1.0
+```
+
+`source.txt` contains one absolute mono 16 kHz WAV path per line, and `target.txt` contains the matching reference translations. Use the bundled streaming command for long continuous recordings. The source README also documents training and fixed/wait-k/VAD baselines.
+
+These custom Fairseq + PEFT checkpoints require the provided source. They cannot be loaded directly with `transformers.pipeline`. The frozen [Whisper large-v3](https://huggingface.co/openai/whisper-large-v3) and [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) backbones are downloaded separately. Linux, Python 3.10, and a CUDA GPU are required by the documented execution recipe. Exact GPU memory requirements have not been measured for this release.
+
+## Export details and limitations
+
+The detector is shared across the three target languages. Its original expert tensor dimensions are preserved; the public interfaces accept English source speech only. Detector decoder adapter files are included for compatibility with the original model; the simultaneous ST policy uses the unit detector and frozen Whisper encoder.
+
+Optimizer state, training metrics, and private filesystem paths are removed from the exported `.pt` metadata. Saved inference tensors are preserved, and copied adapters are byte-identical to the source checkpoints. These are inference exports, not resumable training snapshots. Load PyTorch checkpoints only from trusted sources.
+
+Full GPU evaluation and replication of paper tables have not been performed as part of release preparation. The models can produce inaccurate or hallucinated translations; quality and latency depend on input conditions, decoding configuration, thresholds, and hardware. Training data and unit annotations are not bundled.
+
+## License
+
+Project-authored code and additions retain the repository's MIT license. Base models and adapted code retain their upstream licenses, including Apache-2.0 for the two Hugging Face base models. See `LICENSE`, `THIRD_PARTY_NOTICES.md`, and `licenses/`. The project license does not replace upstream notices.
+
+## Citation
+
+Please cite the [associated paper](https://ieeexplore.ieee.org/document/11732033). Use the publisher-provided citation available from the paper page.

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SimulSense/adapter_config.json

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SimulSense/sense_units_detector.pt

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THIRD_PARTY_NOTICES.md

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+# Third-party notices
+
+The root MIT license covers project-authored code. It does not replace licenses on vendored or derived files.
+
+| Component | Origin | License retained in this distribution |
+| --- | --- | --- |
+| Fairseq (locally modified) | https://github.com/facebookresearch/fairseq | `fairseq/LICENSE` (MIT); nested components keep their own notices |
+| SimulEval (locally modified) | https://github.com/facebookresearch/SimulEval | `SimulEval/LICENSE` (CC BY-SA 4.0; preserve per-file notices) |
+| SimulStream (locally modified) | https://github.com/hlt-mt/simulstream | `simulstream/LICENSE` (Apache-2.0) |
+| Qwen3 model implementation | Hugging Face Transformers / Qwen | `licenses/transformers-APACHE-2.0.txt` and headers in `main_scripts/models/modeling_qwen3.py` |
+| Whisper model implementation | Hugging Face Transformers / OpenAI | `licenses/transformers-APACHE-2.0.txt` and headers in `main_scripts/models/modeling_whisper.py` |
+
+The two adapted Transformers files include local changes and retain their upstream copyright headers. Fairseq-derived dataset/training files retain their original headers. The bundled toolkit code is a snapshot of the research checkout; an exact upstream commit is not asserted where provenance was not recorded.
+
+Base models are downloaded separately: [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) and [Whisper large-v3](https://huggingface.co/openai/whisper-large-v3) are distributed by their respective publishers under Apache-2.0. Base-model terms and notices continue to apply to the derived adapters. No training or evaluation datasets are distributed here.

WEIGHTS_MANIFEST.json

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WEIGHTS_VALIDATION.json

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+  }
+}

licenses/transformers-APACHE-2.0.txt

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