Card: lineage + code cross-links

README.md

@@ -30,20 +30,49 @@ outputs. If you want data, use
 Bundled third-party TTS models keep their own licences — unpack and check before
 redistributing.
 
+## Where this sits
+
+The v0.3 speech-to-speech pipeline, end to end:
+
+```
+tr-hi-parallel-text          text triples (en pivot -> tr / hi)
+        |  TTS
+tr-hi-parallel-speech-v2     synthetic speech + QC signals
+        |  Mimi encode
+tr-hi-mimi-encoded           8-codebook tokens + word alignments
+        |  Stage-2 training
+tr-hi-s2st-v0.3              the released model
+```
+
+| | |
+|---|---|
+| **Model** | [`tr-hi-s2st-v0.3`](https://huggingface.co/tiny-aya-translate/tr-hi-s2st-v0.3) |
+| **Text** | [`tr-hi-parallel-text`](https://huggingface.co/datasets/tiny-aya-translate/tr-hi-parallel-text) |
+| **Speech** | [`tr-hi-parallel-speech-v2`](https://huggingface.co/datasets/tiny-aya-translate/tr-hi-parallel-speech-v2) · [`-v3`](https://huggingface.co/datasets/tiny-aya-translate/tr-hi-parallel-speech-v3) |
+| **Encoded** | [`tr-hi-mimi-encoded`](https://huggingface.co/datasets/tiny-aya-translate/tr-hi-mimi-encoded) |
+| **Eval sets** | [`fleurs-tr-hi-mimi-encoded`](https://huggingface.co/datasets/tiny-aya-translate/fleurs-tr-hi-mimi-encoded) · [`lahaja-eval`](https://huggingface.co/datasets/tiny-aya-translate/lahaja-eval) · [`cv-tr-eval`](https://huggingface.co/datasets/tiny-aya-translate/cv-tr-eval) |
+
+## Code
+
+| repo | what it does |
+|---|---|
+| [`sound-quality-check`](https://github.com/tiny-aya-simultaneous-translation/sound-quality-check) | 4-stage speech-dataset quality control |
+
 ## Project
 
-Part of **TinyAya Stage 2** — Turkish⇄Hindi speech-to-speech translation with a
-text inner-monologue (Cohere2 + LoRA, frozen Moshi depth decoder, Mimi codes).
+**TinyAya Stage 2** — Turkish⇄Hindi speech-to-speech translation with a text
+inner-monologue: a LoRA-adapted Cohere2 backbone driving a **frozen** Moshi depth
+decoder over Mimi codes.
+
+The v0.3 run covered **76,250 steps / 2.07 epochs** on a Cloud TPU v6e-16
+(best val composite **2.8199** @ step 76,000). Read honestly: the text
+inner-monologue **learns to translate** (free-run chrF++ ~25.7 / 25.1), while
+**intelligible audio synthesis remains the frontier** (ASR-chrF++ 3.7 / 9.6
+against a 92.1 / 86.6 ground-truth-audio ceiling) — bounded by the frozen depth
+decoder, not by translation understanding.
 
-- **Model:** [`tiny-aya-translate/tr-hi-s2st-v0.3`](https://huggingface.co/tiny-aya-translate/tr-hi-s2st-v0.3)
-- **Code:** [tiny-aya-simultaneous-translation/model](https://github.com/tiny-aya-simultaneous-translation/model)
 - **Results:** [v0.3 evaluation report](https://github.com/tiny-aya-simultaneous-translation/model/blob/main/docs/v0.3-eval-report.md)
+- **Training run:** [W&B `xzcb60bl`](https://wandb.ai/cataluna84/tinyaya-stage2-tpu/runs/xzcb60bl) · [emergence report](https://wandb.ai/cataluna84/tinyaya-stage2-tpu/reports/TinyAya-v0.3-Emergence-and-Data-Efficiency--VmlldzoxNzU1OTU1NQ==)
 - **Blog:** [Adapting Moshi for Low-Resource Speech Translation](https://labscommunity.cohere.com/blog/2026/adapting-moshi-low-resource-speech-translation/)
 
-## Licence
-
-Text originates from **FLORES** (CC BY-SA 4.0 — **share-alike propagates to
-derivatives**), **OPUS-100** (per-subcorpus terms) and machine-translated
-conversational sources; speech is **synthetic TTS output** and inherits each TTS
-model's terms. Review the upstream terms before redistribution; see
-[`THIRD_PARTY_NOTICES.md`](https://github.com/tiny-aya-simultaneous-translation/model/blob/main/THIRD_PARTY_NOTICES.md).
+Compute for the v0.3 run was provided by **Google's TPU Research Cloud (TRC)**.