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--- |
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license: other |
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license_name: other |
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license_link: https://huggingface.co/datasets/microsoft/wiki_qa#licensing-information |
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task_categories: |
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- question-answering |
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language: |
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- en |
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- fr |
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- de |
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- it |
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- es |
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- pt |
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pretty_name: mWikiQA |
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size_categories: |
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- 100K<n<1M |
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configs: |
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- config_name: en |
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data_files: |
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- split: train |
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path: "eng-train.jsonl" |
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- split: validation |
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path: "eng-dev.jsonl" |
|
- split: test |
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path: "eng-test.jsonl" |
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- config_name: de |
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data_files: |
|
- split: train |
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path: "deu-train.jsonl" |
|
- split: validation |
|
path: "deu-dev.jsonl" |
|
- split: test |
|
path: "deu-test.jsonl" |
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- config_name: fr |
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data_files: |
|
- split: train |
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path: "fra-train.jsonl" |
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- split: validation |
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path: "fra-dev.jsonl" |
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- split: test |
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path: "fra-test.jsonl" |
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- config_name: it |
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data_files: |
|
- split: train |
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path: "ita-train.jsonl" |
|
- split: validation |
|
path: "ita-dev.jsonl" |
|
- split: test |
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path: "ita-test.jsonl" |
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- config_name: po |
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data_files: |
|
- split: train |
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path: "por-train.jsonl" |
|
- split: validation |
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path: "por-dev.jsonl" |
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- split: test |
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path: "por-test.jsonl" |
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- config_name: sp |
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data_files: |
|
- split: train |
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path: "spa-train.jsonl" |
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- split: validation |
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path: "spa-dev.jsonl" |
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- split: test |
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path: "spa-test.jsonl" |
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- config_name: en_++ |
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data_files: |
|
- split: train |
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path: "eng-train.jsonl" |
|
- split: validation |
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path: "eng-dev_no_allneg.jsonl" |
|
- split: test |
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path: "eng-test_no_allneg.jsonl" |
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- config_name: de_++ |
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data_files: |
|
- split: train |
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path: "deu-train.jsonl" |
|
- split: validation |
|
path: "deu-dev_no_allneg.jsonl" |
|
- split: test |
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path: "deu-test_no_allneg.jsonl" |
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- config_name: fr_++ |
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data_files: |
|
- split: train |
|
path: "fra-train.jsonl" |
|
- split: validation |
|
path: "fra-dev_no_allneg.jsonl" |
|
- split: test |
|
path: "fra-test_no_allneg.jsonl" |
|
- config_name: it_++ |
|
data_files: |
|
- split: train |
|
path: "ita-train.jsonl" |
|
- split: validation |
|
path: "ita-dev_no_allneg.jsonl" |
|
- split: test |
|
path: "ita-test_no_allneg.jsonl" |
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- config_name: po_++ |
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data_files: |
|
- split: train |
|
path: "por-train.jsonl" |
|
- split: validation |
|
path: "por-dev_no_allneg.jsonl" |
|
- split: test |
|
path: "por-test_no_allneg.jsonl" |
|
- config_name: sp_++ |
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data_files: |
|
- split: train |
|
path: "spa-train.jsonl" |
|
- split: validation |
|
path: "spa-dev_no_allneg.jsonl" |
|
- split: test |
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path: "spa-test_no_allneg.jsonl" |
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- config_name: en_clean |
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data_files: |
|
- split: train |
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path: "eng-train.jsonl" |
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- split: validation |
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path: "eng-dev_clean.jsonl" |
|
- split: test |
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path: "eng-test_clean.jsonl" |
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- config_name: de_clean |
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data_files: |
|
- split: train |
|
path: "deu-train.jsonl" |
|
- split: validation |
|
path: "deu-dev_clean.jsonl" |
|
- split: test |
|
path: "deu-test_clean.jsonl" |
|
- config_name: fr_clean |
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data_files: |
|
- split: train |
|
path: "fra-train.jsonl" |
|
- split: validation |
|
path: "fra-dev_clean.jsonl" |
|
- split: test |
|
path: "fra-test_clean.jsonl" |
|
- config_name: it_clean |
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data_files: |
|
- split: train |
|
path: "ita-train.jsonl" |
|
- split: validation |
|
path: "ita-dev_clean.jsonl" |
|
- split: test |
|
path: "ita-test_clean.jsonl" |
|
- config_name: po_clean |
|
data_files: |
|
- split: train |
|
path: "por-train.jsonl" |
|
- split: validation |
|
path: "por-dev_clean.jsonl" |
|
- split: test |
|
path: "por-test_clean.jsonl" |
|
- config_name: sp_clean |
|
data_files: |
|
- split: train |
|
path: "spa-train.jsonl" |
|
- split: validation |
|
path: "spa-dev_clean.jsonl" |
|
- split: test |
|
path: "spa-test_clean.jsonl" |
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--- |
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## Dataset Description |
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|
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**mWikiQA** is a translated version of WikiQA. It contains 3,047 questions sampled from Bing query logs. The candidate answer sentences are extracted from Wikipedia and then manually labeled to assess whether they are correct answers. |
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|
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The dataset has been translated into five European languages: French, German, Italian, Portuguese, and Spanish, as described in this paper: "Datasets for Multilingual Answer Sentence Selection." |
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|
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## Splits: |
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|
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For each language (English, French, German, Italian, Portuguese, and Spanish), we provide: |
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|
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- **train** split |
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- **validation** split |
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- **test** split |
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|
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In addition, the validation and the test splits are available also in the following preprocessed versions: |
|
|
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- **++**: without questions with only negative answer candidates |
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- **clean**: without questions with only negative and only positive answer candidates |
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|
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### How to load them: |
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To use these splits, you can use the following snippet of code replacing ``[LANG]`` with a language identifier (en, fr, de, it, po, sp), and ``[VERSION]`` with the version identifier (++, clean) |
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|
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``` |
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from datasets import load_dataset |
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|
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""" |
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if you want the default splits, replace [LANG] with an identifier in: en, fr, de, it, po, sp |
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dataset = load_dataset("mWikiQA", "[LANG]") |
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""" |
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# example: |
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italian_dataset = load_dataset("mWikiQA", "it") |
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|
|
|
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""" |
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if you want the processed splits ("clean" and "no all negatives" sets), replace [LANG] with a language identifier and [VERSION] with "++" or "clean" |
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dataset = load_dataset("mWikiQA", "[LANG]_[VERSION]") |
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""" |
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# example: |
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italian_clean_dataset = load_dataset("mWikiQA", "it_clean") |
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|
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``` |
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|
|
|
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## Format: |
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Each example has the following format: |
|
|
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``` |
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{ |
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'eid': 1214, |
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'qid': 141, |
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'cid': 0, |
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'label': 1, |
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'question': 'Was bedeutet Karma im Buddhismus?', |
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'candidate': 'Karma (Sanskrit, auch karman, Pali: Kamma) bedeutet "Handlung" oder "Tun"; was auch immer man tut, sagt oder denkt, ist ein Karma.' |
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} |
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``` |
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|
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Where: |
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|
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- **eid**: is the unique id of the example (question, candidate) |
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- **qid**: is the unique id of the question |
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- **cid**: is the unique id of the answer candidate |
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- **label**: identifies whether the answer candidate ``candidate`` is correct for the ``question`` (1 if correct, 0 otherwise) |
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- **question**: the question |
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- **candidate**: the answer candidate |
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|
|
|
|
|
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## Citation |
|
|
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If you find this dataset useful, please cite the following paper: |
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|
|
**BibTeX:** |
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``` |
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@misc{gabburo2024datasetsmultilingualanswersentence, |
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title={Datasets for Multilingual Answer Sentence Selection}, |
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author={Matteo Gabburo and Stefano Campese and Federico Agostini and Alessandro Moschitti}, |
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year={2024}, |
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eprint={2406.10172}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2406.10172}, |
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} |
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``` |
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|
|
|
