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---
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 |