---
language:
- ja
license: cc-by-sa-4.0
task_categories:
- question-answering
dataset_info:
- config_name: v1
  features:
  - name: qid
    dtype: string
  - name: type
    dtype: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: derivations
    sequence:
    - name: '0'
      dtype: string
    - name: '1'
      dtype: string
    - name: '2'
      sequence: string
  - name: page_ids
    sequence: string
  - name: time_dependent
    dtype: bool
  splits:
  - name: train
    num_bytes: 349587
    num_examples: 1059
  - name: validation
    num_bytes: 38528
    num_examples: 120
  download_size: 216443
  dataset_size: 388115
- config_name: v1.1
  features:
  - name: qid
    dtype: string
  - name: type
    dtype: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: derivations
    sequence:
    - name: '0'
      dtype: string
    - name: '1'
      dtype: string
    - name: '2'
      sequence: string
  - name: page_ids
    sequence: string
  - name: time_dependent
    dtype: bool
  splits:
  - name: train
    num_bytes: 349673
    num_examples: 1059
  - name: validation
    num_bytes: 38590
    num_examples: 120
  download_size: 216429
  dataset_size: 388263
- config_name: v1.1-extended-answers
  features:
  - name: qid
    dtype: string
  - name: type
    dtype: string
  - name: question
    dtype: string
  - name: derivations
    struct:
    - name: '0'
      sequence: string
    - name: '1'
      sequence: string
    - name: '2'
      sequence:
        sequence: string
  - name: page_ids
    sequence: string
  - name: time_dependent
    dtype: bool
  - name: answers
    sequence: string
  splits:
  - name: validation
    num_bytes: 39052
    num_examples: 120
  download_size: 29065
  dataset_size: 39052
configs:
- config_name: v1
  data_files:
  - split: train
    path: v1/train-*
  - split: validation
    path: v1/validation-*
- config_name: v1.1
  data_files:
  - split: train
    path: v1.1/train-*
  - split: validation
    path: v1.1/validation-*
- config_name: v1.1-extended-answers
  data_files:
  - split: validation
    path: v1.1-extended-answers/validation-*
---

評価スコアの再現性確保と SB Intuitions 修正版の公開用クローン

ソース: [aiishii/JEMHopQA on GitHub](https://github.com/aiishii/JEMHopQA)

# JEMHopQA

> JEMHopQA (Japanese Explainable Multi-hop Question Answering) is a Japanese multi-hop QA dataset that can evaluate internal reasoning. It is a task that takes a question as input and generates an answer and derivations. Derivations are a set of derivation steps and is a semi-structured representation of relationships between entities. This dataset contains both compositional (linking information from two Wikipedia articles) and comparison (comparing information from two Wikipedia articles) questions.

## Licensing Information

[Creative Commons Attribution Share Alike 4.0 International](https://github.com/aiishii/JEMHopQA/blob/main/LICENSE)

## Citation Information

```
@inproceedings{ishii-etal-2024-jemhopqa-dataset,
    title = "{JEMH}op{QA}: Dataset for {J}apanese Explainable Multi-Hop Question Answering",
    author = "Ishii, Ai  and
      Inoue, Naoya  and
      Suzuki, Hisami  and
      Sekine, Satoshi",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.831",
    pages = "9515--9525",
}
```

# Subsets

## v1

v1: [JEMHopQA/corpus on GitHub](https://github.com/aiishii/JEMHopQA/tree/main/corpus)

## v1.1

v1.1: [JEMHopQA/corpus_ver1.1 on GitHub](https://github.com/aiishii/JEMHopQA/tree/main/corpus_ver1.1) 

- `qid` (`str`): Unique identifier for each entry in the dataset.
- `type` (`str`): The category of the question ("comparison" or "compositional").
- `question` (`str`): The text of the question.
- `answer` (`str`): The correct answer to the question.
- `derivations` (`dict[str, list[str]]`): Knowledge triples for reasoning used to arrive at the answer.
- `page_ids` (`list[str]`): Identifiers for related Wikipedia pages.
- `time_dependent` (`bool`): Indicates whether the question/answer is time-sensitive.

## v1.1-extended-answers

- v1.1 の `answer` に別解を加え、`answers` (`list[str]`) に拡張したもの
  - e.g., `"カリフォルニア州クパチーノ"` -> `["カリフォルニア州クパチーノ", "アメリカ合衆国カリフォルニア州クパチーノ", "アメリカ合衆国カリフォルニア州クパティーノ", "カリフォルニア州クパティーノ"]`
- split: validation のみ
- question と answrers はNFKC 正規化済み