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Browse files- README.md +106 -0
- multichoice_v1.jsonl +0 -0
- multichoice_v2.jsonl +0 -0
README.md
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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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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.jsonl"
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- split: test-2
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path: "multichoice_v1.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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multichoice_v1.jsonl
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The diff for this file is too large to render.
See raw diff
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multichoice_v2.jsonl
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The diff for this file is too large to render.
See raw diff
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