metadata
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: 39294
num_examples: 120
download_size: 30192
dataset_size: 39294
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
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
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
v1.1
v1.1: JEMHopQA/corpus_ver1.1 on GitHub
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"]
- e.g.,
- split: validation のみ