Datasets:

Modalities:
Text
Formats:
parquet
Languages:
Japanese
Size:
< 1K
License:
File size: 1,690 Bytes
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---
license: apache-2.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: original_qa_id
    dtype: string
  - name: lex_unit_name
    dtype: string
  - name: question
    dtype: string
  - name: sentence_a
    dtype: string
  - name: sentence_b
    dtype: string
  - name: sentence_a_prime
    dtype: string
  - name: sentence_b_prime
    dtype: string
  - name: match_answer_annotator1_ab
    dtype: bool
  - name: match_answer_annotator1_prime
    dtype: bool
  - name: quality_annotator1_ab
    dtype: bool
  - name: quality_annotator1_prime
    dtype: bool
  - name: match_answer_annotator2_ab
    dtype: bool
  - name: match_answer_annotator2_prime
    dtype: bool
  - name: quality_annotator2_ab
    dtype: bool
  - name: quality_annotator2_prime
    dtype: bool
  - name: match_answer_annotator3_ab
    dtype: bool
  - name: match_answer_annotator3_prime
    dtype: bool
  - name: quality_annotator3_ab
    dtype: bool
  - name: quality_annotator3_prime
    dtype: bool
  splits:
  - name: train
    num_bytes: 247664
    num_examples: 549
  download_size: 144779
  dataset_size: 247664
language:
- ja
---

JFrameBenchは日本語フレームネットをベースに、日本語で構築されたLLMの意味理解能力を評価するベンチマークです。

評価にはこちらのコードを利用ください: [GitHub](https://github.com/SasanoLab/FrameBench)

詳細は論文を確認ください:[論文](https://www.anlp.jp/proceedings/annual_meeting/2026/pdf_dir/Q4-13.pdf)

---- 

日本語フレームネットのデータを提供くださった小原京子教授に感謝いたします。