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