Replace no-emoji variant with a kaomoji flag column

SQLite gains a kaomoji column (0/1) on entries/predictions; filter with WHERE NOT kaomoji. Only symbol-structured emoticons are flagged — Unicode emoji are legitimate conversions and stay unflagged. The no-emoji TSV variants are removed in favor of the SQLite flag.

README.md

@@ -1,64 +1,54 @@
----
-license: other
-license_name: cc-by-4.0-compilation-with-upstream-terms
-language:
-- ja
-size_categories:
-- 1M<n<10M
-tags:
-- japanese
-- ime
-- dictionary
-configs:
-- config_name: conversion
-  data_files:
-  - split: train
-    path: entries.tsv
-- config_name: prediction
-  data_files:
-  - split: train
-    path: predictions.tsv
-- config_name: conversion-no-emoji
-  data_files:
-  - split: train
-    path: entries-no-emoji.tsv
-- config_name: prediction-no-emoji
-  data_files:
-  - split: train
-    path: predictions-no-emoji.tsv
----
-# IME Dictionary Core
-
-Japanese IME dictionary pack. The SQLite database and TSV files contain the
-same conversion and prediction records. See `NOTICE.md` before redistribution.
-
-- Compilation license: `CC-BY-4.0`
-- SQLite tables: `entries`, `entry_sources`, `predictions`, `prediction_sources`
-- TSV exports: `entries.tsv`, `entries-no-emoji.tsv`, `predictions.tsv`,
-  `predictions-no-emoji.tsv`
-
-## Emoji exclusion
-
-The SQLite `emoji` column (0/1) drives the no-emoji TSVs (`WHERE NOT
-emoji`). A candidate is flagged when it contains a Unicode emoji or
-`\p{Extended_Pictographic}`, a decorative `So` symbol (HEART / STAR /
-FLOWER / SPARKLE), matches an ASCII emoticon (`:-)`, `orz`, `T_T`), looks
-structurally like a kaomoji (bracket / face-mark / arm-mark heuristics,
-<= 48 chars), or is sourced solely from the project's emoji and kaomoji
-dictionaries.
-
-## Cost calibration
-
-Costs are on Mozc's word-cost scale; layers merged in order, the first
-provider of a (reading, candidate) wins. Project-original dictionaries were
-quantile-mapped onto Mozc via their shared entries, Mozc was added
-unchanged, then each remaining layer was isotonic-calibrated on its overlap
-with the pack and offset by a fixed penalty, adding only novel entries:
-`ipadic` +5000, `sudachi` +6000, `skk` (core subset) +5000. Pre-normalization: sudachi `clamp(7000 + cost/4, 6000,
-16000)`; original emoji files `18000 + clamp(cost, 0, 10000)/2`; other
-original files clamped to per-file floors (default 4500) and a 30000
-ceiling.
-
-## Related repository
-
-For the larger GPL-licensed vocabulary, see [ime-dictionary-extended-gpl](https://huggingface.co/datasets/fa0311/ime-dictionary-extended-gpl).
+---
+license: other
+license_name: cc-by-4.0-compilation-with-upstream-terms
+language:
+- ja
+size_categories:
+- 1M<n<10M
+tags:
+- japanese
+- ime
+- dictionary
+configs:
+- config_name: conversion
+  data_files:
+  - split: train
+    path: entries.tsv
+- config_name: prediction
+  data_files:
+  - split: train
+    path: predictions.tsv
+---
+# IME Dictionary Core
+
+Japanese IME dictionary pack. The SQLite database and TSV files contain the
+same conversion and prediction records. See `NOTICE.md` before redistribution.
+
+- Compilation license: `CC-BY-4.0`
+- SQLite tables: `entries`, `entry_sources`, `predictions`, `prediction_sources`
+- TSV exports: `entries.tsv`, `predictions.tsv`
+
+## Kaomoji flag
+
+The SQLite `kaomoji` column (0/1) marks symbol-structured emoticons; filter
+with `WHERE NOT kaomoji` for a face-free dictionary. A candidate is flagged
+when it matches an ASCII emoticon (`:-)`, `orz`, `T_T`), looks structurally
+like a kaomoji (bracket / face-mark / arm-mark heuristics, <= 48 chars), or
+is sourced solely from the project's kaomoji dictionaries. Unicode emoji are
+legitimate conversions and are NOT flagged.
+
+## Cost calibration
+
+Costs are on Mozc's word-cost scale; layers merged in order, the first
+provider of a (reading, candidate) wins. Project-original dictionaries were
+quantile-mapped onto Mozc via their shared entries, Mozc was added
+unchanged, then each remaining layer was isotonic-calibrated on its overlap
+with the pack and offset by a fixed penalty, adding only novel entries:
+`ipadic` +5000, `sudachi` +6000, `skk` (core subset) +5000. Pre-normalization: sudachi `clamp(7000 + cost/4, 6000,
+16000)`; original emoji files `18000 + clamp(cost, 0, 10000)/2`; other
+original files clamped to per-file floors (default 4500) and a 30000
+ceiling.
+
+## Related repository
+
+For the larger GPL-licensed vocabulary, see [ime-dictionary-extended-gpl](https://huggingface.co/datasets/fa0311/ime-dictionary-extended-gpl).

dictionary.sqlite3

@@ -1,3 +1,3 @@
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-size 546140160
+oid sha256:03f558a01e2b8995f8374939198c83352d66cb6ac437a108a62a94260f5feceb
+size 496467968

entries-no-emoji.tsv

@@ -1,3 +0,0 @@
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-oid sha256:42d352f02e90b02d4da8d91f7a7e63c3a1424b0481a4d77b71d0110eb452872a
-size 233086651

predictions-no-emoji.tsv

@@ -1,3 +0,0 @@
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-oid sha256:9482349f91f4377327684317f29ef10849c3aa5f49eddb672c2dcf6ca7f93016
-size 14533525