context stringlengths 0 36 | reading stringclasses 731
values | target stringlengths 1 9 |
|---|---|---|
ใใใงใ | ใขใคใใข | |
ใใใใใ | ๆฐใใ | |
ใใชใ | ใใชใ | |
ใใซใฏ | ๅ
ใฏ | |
ใใญใฏ | ๅงใฏ | |
ใใฑใผใจ | ใขใใผใ | |
ใใทใ | ใขใใช | |
ใใใ | ้จใ | |
ใใใใจใ | ใใใใจใ | |
ใใใ | ๆญฉใ | |
ใใ | ใใ | |
ใใ | ๅฎถ | |
ใใใซ | ๅฎถใซ | |
ใใใชใ | ใใใชใ | |
ใใ | ่กใ | |
ใใใใฏ | ๅป่
ใฏ | |
ใใใ ใใพใ | ใใใ ใใพใ | |
ใในใใจ | ใคใใณใ | |
ใใใใจใฎ | ๅฆนใฎ | |
ใใใใ | ใใใใ | |
ใใใใผใญใฃใจ | ใคใณใฟใผใใใ | |
ใใฃใใ | ใใฃใใ | |
ใใฟ | ๆตท | |
ใใ | ๅฃฒใ | |
ใใใใ | ๅฌใใ | |
ใใใใ | ใจใขใณใณ | |
ใใใ | ๆ ็ป | |
ใใ | ้ง
| |
ใใใธ | ้ง
ใธ | |
ใใในใผใใผ | ใจใฌใใผใฟใผ | |
ใใใดใคใง | ้็ญใง | |
ใใใใ | ๅคงใใ | |
ใใใซใใ | ใๆฐใซๅ
ฅใ | |
ใใใ | ่ตทใใ | |
ใใใ | ้
ใ | |
ใใฃใจใฎ | ๅคซใฎ | |
ใใฆใ | ใๅฏบ | |
ใใจใใจใฎ | ๅผใฎ | |
ใใฏใใ | ใใฏใใ | |
ใใพใ | ใๅ | |
ใใพใใฏ | ใๅใฏ | |
ใใใ | ๆใ | |
ใใใใใ | ้ข็ฝใ | |
ใใใใฟ | ใใใใฟ | |
ใใใ | ๆณณใ | |
ใใใใ | ้ณๆฅฝ | |
ใใใ | ไผ่ญฐ | |
ใใใใใคใง | ไผ่ญฐๅฎคใง | |
ใใใใ | ไผ็คพ | |
ใใใใใธ | ไผ็คพใธ | |
ใใใใใใง | ไผๅ ดใง | |
ใใ | ่ฒทใ | |
ใใใ | ๅธฐใ | |
ใใใ | ็งๅญฆ | |
ใใใ | ้ตใ | |
ใใ | ๆธใ | |
ใใใ | ๅใ | |
ใใใฏ | ้ขจใฏ | |
ใใใ | ๅฎถๆ | |
ใใใใจ | ๅฎถๆใจ | |
ใใกใใใจ | ่ชฒ้ทใจ | |
ใใชใใ | ๆฒใใ | |
ใใฎใใ | ๅฝผๅฅณ | |
ใใฐใใ | ้ใ | |
ใในใซ | ๅฃใซ | |
ใใใ | ใซใกใฉ | |
ใใ | ๅฝผ | |
ใใใฏ | ๅฝผใฏ | |
ใใใใใ | ็ฐๅข | |
ใใใใใฎ | ็่ญทๅธซใฎ | |
ใใใใใจ | ๆฃ่
ใจ | |
ใใผใฉ | ใซใผใ | |
ใใฃใใ | ๅญฆๆ ก | |
ใใฃใใใธ | ๅญฆๆ กใธ | |
ใใ | ่ใ | |
ใใฃใใฆใใง | ๅซ่ถๅบใง | |
ใใฃใจ | ใใฃใจ | |
ใใซใชใ | ๆฐใซใชใ | |
ใใใใจ | ๅฎขใจ | |
ใใ
ใใใใใ | ็ตฆๆใ | |
ใใใใใค | ๆๅฎค | |
ใใใคใใฆ | ๆฐใใคใใฆ | |
ใใใใ | ้่ก | |
ใใใใ | ็ฉบๆธฏ | |
ใใใใใธ | ็ฉบๆธฏใธ | |
ใใใ | ่ฌ | |
ใใ ใใฎ | ๆ็ฉ | |
ใใกใซใใ | ๅฃใซใใ | |
ใใคใ | ้ดใ | |
ใใซ | ๅฝ | |
ใใใ | ้ฒใ | |
ใใ | ๆฅใ | |
ใใใพ | ่ป | |
ใใฃใใ | ใใฃใใ | |
ใใใใค | ่ญฆๅฏ | |
ใใใใ | ็ตๆธ | |
ใใฃใใ | ็ตๆใ | |
ใใฃใใ | ใใฃใใ | |
ใใใใ | ๅฅๅบท | |
ใใใใใซ | ็้ขใซ |
IME Context Dataset
Canonical minimal dataset for Japanese IME candidate reranking. Every row has
only context, reading, and target.
Configurations
- core: 8,084
- anonymized person context: 219
- synthetic hard context: 146,270
- difficult context: 11,329
person_context replaces concrete people and public persona names with
[PERSON]. hard_context is kept separate so callers can choose its sampling
weight rather than allowing a large synthetic set to dominate ordinary data.
All configurations are training material. Create a deterministic
train/validation split when training; use an independent locked benchmark as
test data.
Exact rows present in the project's locked evaluation set were excluded from the hard training data. Dictionary candidate lists are not redistributed.
License
This dataset is licensed under the Creative Commons Attribution 4.0
International license (CC-BY-4.0). Generated text was reviewed, normalized,
deduplicated, and filtered against the locked evaluation data before release.
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