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--- |
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language: |
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- ja |
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license: cc-by-sa-4.0 |
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task_categories: |
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- question-answering |
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dataset_info: |
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- config_name: v1 |
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features: |
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- name: qid |
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dtype: string |
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- name: type |
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dtype: string |
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- name: question |
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dtype: string |
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- name: answer |
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dtype: string |
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- name: derivations |
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sequence: |
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- name: '0' |
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dtype: string |
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- name: '1' |
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dtype: string |
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- name: '2' |
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sequence: string |
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- name: page_ids |
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sequence: string |
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- name: time_dependent |
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dtype: bool |
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splits: |
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- name: train |
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num_bytes: 349587 |
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num_examples: 1059 |
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- name: validation |
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num_bytes: 38528 |
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num_examples: 120 |
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download_size: 216443 |
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dataset_size: 388115 |
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- config_name: v1.1 |
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features: |
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- name: qid |
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dtype: string |
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- name: type |
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dtype: string |
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- name: question |
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dtype: string |
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- name: answer |
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dtype: string |
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- name: derivations |
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sequence: |
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- name: '0' |
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dtype: string |
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- name: '1' |
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dtype: string |
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- name: '2' |
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sequence: string |
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- name: page_ids |
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sequence: string |
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- name: time_dependent |
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dtype: bool |
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splits: |
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- name: train |
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num_bytes: 349673 |
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num_examples: 1059 |
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- name: validation |
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num_bytes: 38590 |
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num_examples: 120 |
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download_size: 216429 |
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dataset_size: 388263 |
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- config_name: v1.1-extended-answers |
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features: |
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- name: qid |
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dtype: string |
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- name: type |
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dtype: string |
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- name: question |
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dtype: string |
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- name: derivations |
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struct: |
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- name: '0' |
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sequence: string |
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- name: '1' |
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sequence: string |
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- name: '2' |
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sequence: |
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sequence: string |
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- name: page_ids |
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sequence: string |
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- name: time_dependent |
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dtype: bool |
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- name: answers |
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sequence: string |
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splits: |
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- name: validation |
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num_bytes: 39294 |
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num_examples: 120 |
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download_size: 29145 |
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dataset_size: 39294 |
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configs: |
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- config_name: v1 |
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data_files: |
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- split: train |
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path: v1/train-* |
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- split: validation |
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path: v1/validation-* |
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- config_name: v1.1 |
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data_files: |
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- split: train |
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path: v1.1/train-* |
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- split: validation |
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path: v1.1/validation-* |
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- config_name: v1.1-extended-answers |
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data_files: |
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- split: validation |
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path: v1.1-extended-answers/validation-* |
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--- |
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|
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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 |
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ソース: [aiishii/JEMHopQA on GitHub](https://github.com/aiishii/JEMHopQA) |
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# JEMHopQA |
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> 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. |
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## Licensing Information |
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[Creative Commons Attribution Share Alike 4.0 International](https://github.com/aiishii/JEMHopQA/blob/main/LICENSE) |
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## Citation Information |
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``` |
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@inproceedings{ishii-etal-2024-jemhopqa-dataset, |
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title = "{JEMH}op{QA}: Dataset for {J}apanese Explainable Multi-Hop Question Answering", |
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author = "Ishii, Ai and |
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Inoue, Naoya and |
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Suzuki, Hisami and |
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Sekine, Satoshi", |
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editor = "Calzolari, Nicoletta and |
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Kan, Min-Yen and |
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Hoste, Veronique and |
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Lenci, Alessandro and |
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Sakti, Sakriani and |
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Xue, Nianwen", |
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booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)", |
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month = may, |
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year = "2024", |
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address = "Torino, Italia", |
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publisher = "ELRA and ICCL", |
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url = "https://aclanthology.org/2024.lrec-main.831", |
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pages = "9515--9525", |
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} |
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``` |
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# Subsets |
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## v1 |
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v1: [JEMHopQA/corpus on GitHub](https://github.com/aiishii/JEMHopQA/tree/main/corpus) |
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## v1.1 |
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v1.1: [JEMHopQA/corpus_ver1.1 on GitHub](https://github.com/aiishii/JEMHopQA/tree/main/corpus_ver1.1) |
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- `qid` (`str`): Unique identifier for each entry in the dataset. |
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- `type` (`str`): The category of the question ("comparison" or "compositional"). |
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- `question` (`str`): The text of the question. |
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- `answer` (`str`): The correct answer to the question. |
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- `derivations` (`dict[str, list[str]]`): Knowledge triples for reasoning used to arrive at the answer. |
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- `page_ids` (`list[str]`): Identifiers for related Wikipedia pages. |
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- `time_dependent` (`bool`): Indicates whether the question/answer is time-sensitive. |
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## v1.1-extended-answers |
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- v1.1 の `answer` に別解を加え、`answers` (`list[str]`) に拡張したもの |
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- 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"]` |
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- split: validation のみ |
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- question と answrers は (未 NFKC 正規化) |