---
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.

## Related repositories

- [ime-context-reranker-v1](https://huggingface.co/fa0311/ime-context-reranker-v1)
- [ime-dictionary-core](https://huggingface.co/datasets/fa0311/ime-dictionary-core)
- [ime-dictionary-extended-gpl](https://huggingface.co/datasets/fa0311/ime-dictionary-extended-gpl)