README.md

---
license: other
license_name: other
license_link: https://huggingface.co/datasets/microsoft/wiki_qa#licensing-information
task_categories:
- question-answering
language:
- en
- fr
- de
- it
- es
- pt
pretty_name: mWikiQA
size_categories:
- 100K<n<1M
configs:
- config_name: default
  data_files:
  - split: train_en
    path: "eng_train.jsonl"
  - split: train_de
    path: "deu_train.jsonl"
  - split: train_fr
    path: "fra_train.jsonl"
  - split: train_it
    path: "ita_train.jsonl"
  - split: train_po
    path: "por_train.jsonl"
  - split: train_sp
    path: "spa_train.jsonl"
  - split: validation_en
    path: "eng_dev.jsonl"
  - split: validation_de
    path: "deu_dev.jsonl"
  - split: validation_fr
    path: "fra_dev.jsonl"
  - split: validation_it
    path: "ita_dev.jsonl"
  - split: validation_po
    path: "por_dev.jsonl"
  - split: validation_sp
    path: "spa_dev.jsonl"
  - split: test_en
    path: "eng_test.jsonl"
  - split: test_de
    path: "deu_test.jsonl"
  - split: test_fr
    path: "fra_test.jsonl"
  - split: test_it
    path: "ita_test.jsonl"
  - split: test_po
    path: "por_test.jsonl"
  - split: test_sp
    path: "spa_test.jsonl"
- config_name: clean
  data_files:
  - split: train_en
    path: "eng_train.jsonl"
  - split: train_de
    path: "deu_train.jsonl"
  - split: train_fr
    path: "fra_train.jsonl"
  - split: train_it
    path: "ita_train.jsonl"
  - split: train_po
    path: "por_train.jsonl"
  - split: train_sp
    path: "spa_train.jsonl"
  - split: validation_clean_en
    path: "eng_dev_clean.jsonl"
  - split: validation_clean_de
    path: "deu_dev_clean.jsonl"
  - split: validation_clean_fr
    path: "fra_dev_clean.jsonl"
  - split: validation_clean_it
    path: "ita_dev_clean.jsonl"
  - split: validation_clean_po
    path: "por_dev_clean.jsonl"
  - split: validation_clean_sp
    path: "spa_dev_clean.jsonl"
  - split: test_clean_en
    path: "eng_test_clean.jsonl"
  - split: test_clean_de
    path: "deu_test_clean.jsonl"
  - split: test_clean_fr
    path: "fra_test_clean.jsonl"
  - split: test_clean_it
    path: "ita_test_clean.jsonl"
  - split: test_clean_po
    path: "por_test_clean.jsonl"
  - split: test_clean_sp
    path: "spa_test_clean.jsonl"
- config_name: noneg
  data_files:
  - split: train_en
    path: "eng_train.jsonl"
  - split: train_de
    path: "deu_train.jsonl"
  - split: train_fr
    path: "fra_train.jsonl"
  - split: train_it
    path: "ita_train.jsonl"
  - split: train_po
    path: "por_train.jsonl"
  - split: train_sp
    path: "spa_train.jsonl"
  - split: validation_noneg_en
    path: "eng_dev_no_allneg.jsonl"
  - split: validation_noneg_de
    path: "deu_dev_no_allneg.jsonl"
  - split: validation_noneg_fr
    path: "fra_dev_no_allneg.jsonl"
  - split: validation_noneg_it
    path: "ita_dev_no_allneg.jsonl"
  - split: validation_noneg_po
    path: "por_dev_no_allneg.jsonl"
  - split: validation_noneg_sp
    path: "spa_dev_no_allneg.jsonl"
  - split: test_noneg_en
    path: "eng_test_no_allneg.jsonl"
  - split: test_noneg_de
    path: "deu_test_no_allneg.jsonl"
  - split: test_noneg_fr
    path: "fra_test_no_allneg.jsonl"
  - split: test_noneg_it
    path: "ita_test_no_allneg.jsonl"
  - split: test_noneg_po
    path: "por_test_no_allneg.jsonl"
  - split: test_noneg_sp
    path: "spa_test_no_allneg.jsonl"
- config_name: en
  data_files:
  - split: train
    path: "eng_train.jsonl"
  - split: validation
    path: "eng_dev.jsonl"
  - split: test
    path: "eng_test.jsonl"
- config_name: de
  data_files:
  - split: train
    path: "deu_train.jsonl"
  - split: validation
    path: "deu_dev.jsonl"
  - split: test
    path: "deu_test.jsonl"
- config_name: fr
  data_files:
  - split: train
    path: "fra_train.jsonl"
  - split: validation
    path: "fra_dev.jsonl"
  - split: test
    path: "fra_test.jsonl"
- config_name: it
  data_files:
  - split: train
    path: "ita_train.jsonl"
  - split: validation
    path: "ita_dev.jsonl"
  - split: test
    path: "ita_test.jsonl"
- config_name: po
  data_files:
  - split: train
    path: "por_train.jsonl"
  - split: validation
    path: "por_dev.jsonl"
  - split: test
    path: "por_test.jsonl"
- config_name: sp
  data_files:
  - split: train
    path: "spa_train.jsonl"
  - split: validation
    path: "spa_dev.jsonl"
  - split: test
    path: "spa_test.jsonl"
- config_name: en_noneg
  data_files:
  - split: train
    path: "eng_train.jsonl"
  - split: validation
    path: "eng_dev_no_allneg.jsonl"
  - split: test
    path: "eng_test_no_allneg.jsonl"
- config_name: de_noneg
  data_files:
  - split: train
    path: "deu_train.jsonl"
  - split: validation
    path: "deu_dev_no_allneg.jsonl"
  - split: test
    path: "deu_test_no_allneg.jsonl"
- config_name: fr_noneg
  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_noneg
  data_files:
  - split: train
    path: "ita_train.jsonl"
  - split: validation
    path: "ita_dev_no_allneg.jsonl"
  - split: test
    path: "ita_test_no_allneg.jsonl"
- config_name: po_noneg
  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_noneg
  data_files:
  - split: train
    path: "spa_train.jsonl"
  - split: validation
    path: "spa_dev_no_allneg.jsonl"
  - split: test
    path: "spa_test_no_allneg.jsonl"
- config_name: en_clean
  data_files:
  - split: train
    path: "eng_train.jsonl"
  - split: validation
    path: "eng_dev_clean.jsonl"
  - split: test
    path: "eng_test_clean.jsonl"
- config_name: de_clean
  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
  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
  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"
---
## Dataset Description

**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.

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](https://arxiv.org/abs/2406.10172 'Datasets for Multilingual Answer Sentence Selection').

## Splits:

For each language (English, French, German, Italian, Portuguese, and Spanish), we provide:

- **train** split
- **validation** split
- **test** split

In addition, the validation and the test splits are available also in the following preprocessed versions:

- **noneg**: without questions with only negative answer candidates
- **clean**: without questions with only negative and only positive answer candidates

### How to load them:
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 (noneg, clean)

```
from datasets import load_dataset

# if you want the whole corpora
corpora = load_dataset("matteogabburo/mWikiQA")

# if you want the clean test and test sets
corpora = load_dataset("matteogabburo/mWikiQA", "clean")

# if you want the "no all negatives" validation and test sets
corpora = load_dataset("matteogabburo/mWikiQA", "noneg")

"""
if you want the default splits of a specific language, replace [LANG] with an identifier in: en, fr, de, it, po, sp
dataset = load_dataset("matteogabburo/mWikiQA", "[LANG]")
"""
# example:
italian_dataset = load_dataset("matteogabburo/mWikiQA", "it")


"""
if you want the processed splits ("clean" and "no all negatives" sets), replace [LANG] with a language identifier and [VERSION] with "noneg" or "clean"
dataset = load_dataset("matteogabburo/mWikiQA", "[LANG]_[VERSION]")
"""
# example:
italian_clean_dataset = load_dataset("matteogabburo/mWikiQA", "it_clean")

```


## Format:
Each example has the following format:

```
{
  'eid': 1214,
  'qid': 141,
  'cid': 0,
  'label': 1,
  'question': 'Was bedeutet Karma im Buddhismus?',
  'candidate': 'Karma (Sanskrit, auch karman, Pali: Kamma) bedeutet "Handlung" oder "Tun"; was auch immer man tut, sagt oder denkt, ist ein Karma.'
}
```

Where:

- **eid**: is the unique id of the example (question, candidate)
- **qid**: is the unique id of the question
- **cid**: is the unique id of the answer candidate
- **label**: identifies whether the answer candidate ``candidate`` is correct for the ``question`` (1 if correct, 0 otherwise)
- **question**: the question
- **candidate**: the answer candidate



## Citation

If you find this dataset useful, please cite the following paper:

**BibTeX:**
```
@misc{gabburo2024datasetsmultilingualanswersentence,
      title={Datasets for Multilingual Answer Sentence Selection}, 
      author={Matteo Gabburo and Stefano Campese and Federico Agostini and Alessandro Moschitti},
      year={2024},
      eprint={2406.10172},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2406.10172}, 
}
```