language:
- ja
license: cc-by-4.0
pretty_name: IME Context Dataset
size_categories:
- 100K<n<1M
task_categories:
- text-classification
tags:
- ime
- japanese-input-method
configs:
- config_name: core
default: true
data_files:
- split: train
path: data/core.jsonl
- config_name: hard_context
data_files:
- split: train
path: data/hard_context.jsonl
- config_name: person_context
data_files:
- split: train
path: data/person_context.jsonl
- config_name: difficult_context
data_files:
- split: train
path: data/difficult_context.jsonl
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.