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--- |
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language: |
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- it |
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language_details: it-IT |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- question-answering |
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task_ids: |
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- text-classification |
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configs: |
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- config_name: default |
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data_files: |
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- split: test_1 |
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path: "multichoice_v1_test.jsonl" |
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- split: dev_1 |
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path: "multichoice_v1_dev.jsonl" |
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- split: test_2 |
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path: "multichoice_v2_test.jsonl" |
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- split: dev_2 |
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path: "multichoice_v2_dev.jsonl" |
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size_categories: |
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- n<1K |
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--- |
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### QA4FAQ @ EVALITA 2016 |
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Original dataset information available [here](http://qa4faq.github.io/) |
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## Data format |
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The data has been converted to be used as a questin answering task. |
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There are two splits, test-1 and test-2, each containing the same data processed in slightly different ways. |
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### test-1 |
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The data is in jsonl format, where each line is a json object with the following fields: |
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- `id`: a unique identifier for the question |
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- `question`: the question |
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- `A`, `B`, `C`, `D`: the possible answers to the question |
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- `correct_answer`: correct answer to the question ('A', 'B', 'C', 'D') |
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wrong answers are randomly drawn from the other question, answers pairs in the dataset. |
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### test-2 |
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The data is in jsonl format, where each line is a json object with the following fields: |
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- `id`: a unique identifier for the question |
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- `question`: the question |
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- `A`, `B`, `C`, `D`: the possible question,answers pairs e.g. (question, answer) |
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- `correct_answer`: correct question,answer pair to the question ('A', 'B', 'C', 'D') |
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wrong (q,a) pairs are randomly created by randomy choosing answers from the dataset. |
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## Publications |
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``` |
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@inproceedings{agirre-etal-2015-semeval, |
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title = "{S}em{E}val-2015 Task 2: Semantic Textual Similarity, {E}nglish, {S}panish and Pilot on Interpretability", |
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author = "Agirre, Eneko and |
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Banea, Carmen and |
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Cardie, Claire and |
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Cer, Daniel and |
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Diab, Mona and |
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Gonzalez-Agirre, Aitor and |
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Guo, Weiwei and |
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Lopez-Gazpio, I{\~n}igo and |
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Maritxalar, Montse and |
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Mihalcea, Rada and |
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Rigau, German and |
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Uria, Larraitz and |
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Wiebe, Janyce", |
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editor = "Nakov, Preslav and |
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Zesch, Torsten and |
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Cer, Daniel and |
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Jurgens, David", |
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booktitle = "Proceedings of the 9th International Workshop on Semantic Evaluation ({S}em{E}val 2015)", |
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month = jun, |
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year = "2015", |
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address = "Denver, Colorado", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/S15-2045", |
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doi = "10.18653/v1/S15-2045", |
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pages = "252--263", |
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} |
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``` |
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``` |
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@inproceedings{nakov-etal-2015-semeval, |
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title = "{S}em{E}val-2015 Task 3: Answer Selection in Community Question Answering", |
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author = "Nakov, Preslav and |
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M{\`a}rquez, Llu{\'\i}s and |
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Magdy, Walid and |
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Moschitti, Alessandro and |
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Glass, Jim and |
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Randeree, Bilal", |
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editor = "Nakov, Preslav and |
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Zesch, Torsten and |
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Cer, Daniel and |
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Jurgens, David", |
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booktitle = "Proceedings of the 9th International Workshop on Semantic Evaluation ({S}em{E}val 2015)", |
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month = jun, |
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year = "2015", |
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address = "Denver, Colorado", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/S15-2047", |
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doi = "10.18653/v1/S15-2047", |
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pages = "269--281", |
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} |
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``` |
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