Datasets:

FormosanBank
/

formosan-mt

@@ -58,31 +58,31 @@ Commercial AI use is prohibited without prior written permission. See the [Formo
 | Config | Rows | Train | Validate | Test | Synthetic train |
 |---|---:|---:|---:|---:|---:|
-| `formosan-en` | 203,639 | 173,078 | 10,189 | 20,372 | 96,970 |
-| `formosan-zh` | 415,359 | 353,041 | 20,775 | 41,543 | 6,121 |
-| **Total** | **618,998** | **526,119** | **30,964** | **61,915** | **103,091** |
-Every language is split approximately 85% train, 5% validation, and 10% test. Evaluation contains only eligible human sentence references. Synthetic pivots and short entries are train-only.
 ## Languages
 | Code | Language | English pairs | Chinese pairs |
 |---|---|---:|---:|
-| `ami` | Amis | 26,726 | 88,401 |
-| `bnn` | Bunun | 19,865 | 36,112 |
-| `ckv` | Kavalan | 7,367 | 17,410 |
-| `dru` | Rukai | 25,364 | 45,769 |
-| `pwn` | Paiwan | 19,485 | 30,265 |
-| `pyu` | Puyuma | 16,592 | 29,940 |
-| `ssf` | Thao | 5,132 | 12,913 |
-| `sxr` | Saaroa | 5,151 | 10,955 |
-| `szy` | Sakizaya | 6,637 | 13,754 |
-| `tao` | Tao / Yami | 6,212 | 14,064 |
-| `tay` | Atayal | 24,755 | 39,664 |
-| `trv` | Seediq / Truku | 18,678 | 34,653 |
-| `tsu` | Tsou | 6,281 | 10,616 |
-| `xnb` | Kanakanavu | 8,675 | 17,050 |
-| `xsy` | Saisiyat | 6,719 | 13,793 |
 ## Schema
@@ -106,10 +106,10 @@ The builder groups exact normalized pairs and punctuation skeletons, blocks one-
 | Direction | Eval rows | TM BLEU | TM chrF2 | Mean source exposure | Source >= 0.70 |
 |---|---:|---:|---:|---:|---:|
-| English to Formosan | 30,561 | 3.67 | 19.69 | 0.239 | 0.844% |
-| Formosan to English | 30,561 | 4.90 | 19.11 | 0.246 | 0.684% |
-| Formosan to Chinese | 62,318 | 1.22 | 6.41 | 0.228 | 0.591% |
-| Chinese to Formosan | 62,318 | 2.53 | 16.07 | 0.092 | 0.512% |
 TM scores measure nearest-neighbor translation-memory retrieval, not model quality. All four directions have zero exact overlap and zero source, target, or pair exposure at 0.95.
@@ -117,9 +117,9 @@ TM scores measure nearest-neighbor translation-memory retrieval, not model quali
 - Public FormosanBank commit: `3a3c47c220520113f747e6a2d441494000e13c4b`
 - FormosanBank QC commit: `acc3ec9f3137a59b9661e446a750ee1606720394`
-- Toolkit commit: `2201d0de57e43072e3453bcdd479e4994e3b3519`
 - MT standardization: `formosan-mt-standard-v3`
-- Build completed: 2026-08-16
 Artifact hashes and per-language counts are recorded in `provenance/release_metadata.json` and `SHA256SUMS`.

 | Config | Rows | Train | Validate | Test | Synthetic train |
 |---|---:|---:|---:|---:|---:|
+| `formosan-en` | 328,943 | 296,930 | 10,674 | 21,339 | 222,274 |
+| `formosan-zh` | 415,361 | 353,961 | 20,469 | 40,931 | 6,123 |
+| **Total** | **744,304** | **650,891** | **31,143** | **62,270** | **228,397** |
+Human pairs in every language use 70% train, 10% validation, and 20% test for Formosan-English, and 85% train, 5% validation, and 10% test for Formosan-Chinese. Evaluation contains only eligible human sentence references. Synthetic pivots and short entries are added to training, so final augmented-corpus percentages are more train-heavy.
 ## Languages
 | Code | Language | English pairs | Chinese pairs |
 |---|---|---:|---:|
+| `ami` | Amis | 67,287 | 88,403 |
+| `bnn` | Bunun | 27,609 | 36,112 |
+| `ckv` | Kavalan | 15,335 | 17,410 |
+| `dru` | Rukai | 34,711 | 45,769 |
+| `pwn` | Paiwan | 24,518 | 30,265 |
+| `pyu` | Puyuma | 23,226 | 29,940 |
+| `ssf` | Thao | 10,893 | 12,913 |
+| `sxr` | Saaroa | 8,080 | 10,955 |
+| `szy` | Sakizaya | 11,635 | 13,754 |
+| `tao` | Tao / Yami | 11,765 | 14,064 |
+| `tay` | Atayal | 30,581 | 39,664 |
+| `trv` | Seediq / Truku | 28,197 | 34,653 |
+| `tsu` | Tsou | 9,077 | 10,616 |
+| `xnb` | Kanakanavu | 13,647 | 17,050 |
+| `xsy` | Saisiyat | 12,382 | 13,793 |
 ## Schema
 | Direction | Eval rows | TM BLEU | TM chrF2 | Mean source exposure | Source >= 0.70 |
 |---|---:|---:|---:|---:|---:|
+| English to Formosan | 32,013 | 3.70 | 19.54 | 0.256 | 0.943% |
+| Formosan to English | 32,013 | 4.98 | 19.36 | 0.258 | 0.975% |
+| Formosan to Chinese | 61,400 | 1.22 | 6.42 | 0.227 | 0.583% |
+| Chinese to Formosan | 61,400 | 2.53 | 16.06 | 0.092 | 0.510% |
 TM scores measure nearest-neighbor translation-memory retrieval, not model quality. All four directions have zero exact overlap and zero source, target, or pair exposure at 0.95.
 - Public FormosanBank commit: `3a3c47c220520113f747e6a2d441494000e13c4b`
 - FormosanBank QC commit: `acc3ec9f3137a59b9661e446a750ee1606720394`
+- Toolkit commit: `573488b215ee1cf3701519a5bcd1010e8f0c6548`
 - MT standardization: `formosan-mt-standard-v3`
+- Build completed: 2026-08-24
 Artifact hashes and per-language counts are recorded in `provenance/release_metadata.json` and `SHA256SUMS`.

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provenance/validation_zh.json CHANGED Viewed

@@ -1,11 +1,11 @@
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