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Update files from the datasets library (from 1.2.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

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  1. .gitattributes +27 -0
  2. README.md +246 -0
  3. dataset_infos.json +1 -0
  4. dummy/mkqa/1.0.0/dummy_data.zip +3 -0
  5. mkqa.py +150 -0
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README.md ADDED
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+ ---
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+ annotations_creators:
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+ - crowdsourced
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+ language_creators:
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+ - found
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+ languages:
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+ - ar
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+ - da
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+ - de
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+ - en
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+ - es
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+ - fi
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+ - fr
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+ - he
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+ - hu
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+ - it
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+ - ja
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+ - ko
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+ - km
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+ - ms
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+ - nl
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+ - no
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+ - pl
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+ - pt
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+ - ru
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+ - sv
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+ - th
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+ - tr
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+ - vi
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+ - zh
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+ licenses:
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+ - cc-by-3-0
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+ multilinguality:
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+ - multilingual
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+ - translation
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+ size_categories:
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+ - 1K<n<10K
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+ source_datasets:
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+ - extended|natural_questions
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+ - original
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+ task_categories:
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+ - question-answering
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+ task_ids:
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+ - open-domain-qa
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+ ---
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+
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+ # Dataset Card for MKQA: Multilingual Knowledge Questions & Answers
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-instances)
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+ - [Data Splits](#data-instances)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - [**Homepage:**](https://github.com/apple/ml-mkqa/)
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+ - [**Paper:**](https://arxiv.org/abs/2007.15207)
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+
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+ ### Dataset Summary
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+
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+ MKQA contains 10,000 queries sampled from the [Google Natural Questions dataset](https://github.com/google-research-datasets/natural-questions).
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+
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+ For each query we collect new passage-independent answers.
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+ These queries and answers are then human translated into 25 Non-English languages.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ `question-answering`
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+
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+ ### Languages
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+
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+ | Language code | Language name |
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+ |---------------|---------------|
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+ | `ar` | `Arabic` |
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+ | `da` | `Danish` |
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+ | `de` | `German` |
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+ | `en` | `English` |
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+ | `es` | `Spanish` |
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+ | `fi` | `Finnish` |
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+ | `fr` | `French` |
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+ | `he` | `Hebrew` |
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+ | `hu` | `Hungarian` |
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+ | `it` | `Italian` |
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+ | `ja` | `Japanese` |
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+ | `ko` | `Korean` |
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+ | `km` | `Khmer` |
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+ | `ms` | `Malay` |
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+ | `nl` | `Dutch` |
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+ | `no` | `Norwegian` |
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+ | `pl` | `Polish` |
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+ | `pt` | `Portuguese` |
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+ | `ru` | `Russian` |
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+ | `sv` | `Swedish` |
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+ | `th` | `Thai` |
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+ | `tr` | `Turkish` |
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+ | `vi` | `Vietnamese` |
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+ | `zh_cn` | `Chinese (Simplified)` |
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+ | `zh_hk` | `Chinese (Hong kong)` |
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+ | `zh_tw` | `Chinese (Traditional)` |
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ An example from the data set looks as follows:
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+
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+ ```
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+ {
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+ 'example_id': 563260143484355911,
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+ 'queries': {
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+ 'en': "who sings i hear you knocking but you can't come in",
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+ 'ru': "кто поет i hear you knocking but you can't come in",
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+ 'ja': '「 I hear you knocking」は誰が歌っていますか',
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+ 'zh_cn': "《i hear you knocking but you can't come in》是谁演唱的",
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+ ...
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+ },
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+ 'query': "who sings i hear you knocking but you can't come in",
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+ 'answers': {'en': [{'type': 'entity',
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+ 'entity': 'Q545186',
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+ 'text': 'Dave Edmunds',
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+ 'aliases': []}],
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+ 'ru': [{'type': 'entity',
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+ 'entity': 'Q545186',
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+ 'text': 'Эдмундс, Дэйв',
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+ 'aliases': ['Эдмундс', 'Дэйв Эдмундс', 'Эдмундс Дэйв', 'Dave Edmunds']}],
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+ 'ja': [{'type': 'entity',
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+ 'entity': 'Q545186',
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+ 'text': 'デイヴ・エドモンズ',
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+ 'aliases': ['デーブ・エドモンズ', 'デイブ・エドモンズ']}],
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+ 'zh_cn': [{'type': 'entity', 'text': '戴维·埃德蒙兹 ', 'entity': 'Q545186'}],
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+ ...
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+ },
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+ }
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+
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+ ```
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+
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+ ### Data Fields
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+
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+ Each example in the dataset contains the unique Natural Questions `example_id`, the original English `query`, and then `queries` and `answers` in 26 languages.
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+ Each answer is labelled with an answer type. The breakdown is:
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+
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+ | Answer Type | Occurrence |
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+ |---------------|---------------|
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+ | `entity` | `4221` |
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+ | `long_answer` | `1815` |
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+ | `unanswerable` | `1427` |
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+ | `date` | `1174` |
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+ | `number` | `485` |
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+ | `number_with_unit` | `394` |
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+ | `short_phrase` | `346` |
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+ | `binary` | `138` |
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+
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+ For each language, there can be more than one acceptable textual answer, in order to capture a variety of possible valid answers.
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+
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+ Detailed explanation of fields taken from [here](https://github.com/apple/ml-mkqa/#dataset)
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+
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+ when `entity` field is not available it is set to an empty string ''.
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+ when `aliases` field is not available it is set to an empty list [].
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+
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+ ### Data Splits
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+
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+ - Train: 10000
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ [Google Natural Questions dataset](https://github.com/google-research-datasets/natural-questions)
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ [CC BY-SA 3.0](https://github.com/apple/ml-mkqa#license)
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+
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+ ### Citation Information
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+ ```
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+ @misc{mkqa,
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+ title = {MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering},
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+ author = {Shayne Longpre and Yi Lu and Joachim Daiber},
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+ year = {2020},
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+ URL = {https://arxiv.org/pdf/2007.15207.pdf}
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+ }
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+ ```
dataset_infos.json ADDED
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+ {"mkqa": {"description": "We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total). The goal of this dataset is to provide a challenging benchmark for question answering quality across a wide set of languages.\n", "citation": "@misc{mkqa,\n title = {MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering},\n author = {Shayne Longpre and Yi Lu and Joachim Daiber},\n year = {2020},\n URL = {https://arxiv.org/pdf/2007.15207.pdf}\n}\n", "homepage": "https://github.com/apple/ml-mkqa", "license": "CC BY-SA 3.0", "features": {"example_id": {"dtype": "string", "id": null, "_type": "Value"}, "queries": {"ar": {"dtype": "string", "id": null, "_type": "Value"}, "da": {"dtype": "string", "id": null, "_type": "Value"}, "de": {"dtype": "string", "id": null, "_type": "Value"}, "en": {"dtype": "string", "id": null, "_type": "Value"}, "es": {"dtype": "string", "id": null, "_type": "Value"}, "fi": {"dtype": "string", "id": null, "_type": "Value"}, "fr": {"dtype": "string", "id": null, "_type": "Value"}, "he": {"dtype": "string", "id": null, "_type": "Value"}, "hu": {"dtype": "string", "id": null, "_type": "Value"}, "it": {"dtype": "string", "id": null, "_type": "Value"}, "ja": {"dtype": "string", "id": null, "_type": "Value"}, "ko": {"dtype": "string", "id": null, "_type": "Value"}, "km": {"dtype": "string", "id": null, "_type": "Value"}, "ms": {"dtype": "string", "id": null, "_type": "Value"}, "nl": {"dtype": "string", "id": null, "_type": "Value"}, "no": {"dtype": "string", "id": null, "_type": "Value"}, "pl": {"dtype": "string", "id": null, "_type": "Value"}, "pt": {"dtype": "string", "id": null, "_type": "Value"}, "ru": {"dtype": "string", "id": null, "_type": "Value"}, "sv": {"dtype": "string", "id": null, "_type": "Value"}, "th": {"dtype": "string", "id": null, "_type": "Value"}, "tr": {"dtype": "string", "id": null, "_type": "Value"}, "vi": {"dtype": "string", "id": null, "_type": "Value"}, "zh_cn": {"dtype": "string", "id": null, "_type": "Value"}, "zh_hk": {"dtype": "string", "id": null, "_type": "Value"}, "zh_tw": {"dtype": "string", "id": null, "_type": "Value"}}, "query": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"ar": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "da": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "de": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "en": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "es": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "fi": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "fr": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "he": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "hu": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "it": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "ja": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "ko": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "km": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "ms": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "nl": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "no": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "pl": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "pt": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "ru": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "sv": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "th": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "tr": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "vi": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "zh_cn": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "zh_hk": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}], "zh_tw": [{"type": {"num_classes": 8, "names": ["entity", "long_answer", "unanswerable", "date", "number", "number_with_unit", "short_phrase", "binary"], "names_file": null, "id": null, "_type": "ClassLabel"}, "entity": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "aliases": [{"dtype": "string", "id": null, "_type": "Value"}]}]}}, "post_processed": null, "supervised_keys": null, "builder_name": "mkqa", "config_name": "mkqa", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 35958422, "num_examples": 10000, "dataset_name": "mkqa"}}, "download_checksums": {"https://github.com/apple/ml-mkqa/raw/master/dataset/mkqa.jsonl.gz": {"num_bytes": 11903948, "checksum": "f77ac6bf6306e98816c5c047880db71a3c67d2f1491b169896d63e9bb14ef3d3"}}, "download_size": 11903948, "post_processing_size": null, "dataset_size": 35958422, "size_in_bytes": 47862370}}
dummy/mkqa/1.0.0/dummy_data.zip ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:19ee501097ba297de6004aef3e529b3d53930a1f74eac78008847b3f4b627be2
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+ size 5752
mkqa.py ADDED
@@ -0,0 +1,150 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # coding=utf-8
2
+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
3
+ #
4
+ # Licensed under the Apache License, Version 2.0 (the "License");
5
+ # you may not use this file except in compliance with the License.
6
+ # You may obtain a copy of the License at
7
+ #
8
+ # http://www.apache.org/licenses/LICENSE-2.0
9
+ #
10
+ # Unless required by applicable law or agreed to in writing, software
11
+ # distributed under the License is distributed on an "AS IS" BASIS,
12
+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
+ # See the License for the specific language governing permissions and
14
+ # limitations under the License.
15
+
16
+ """MKQA: Multilingual Knowledge Questions & Answers"""
17
+
18
+ from __future__ import absolute_import, division, print_function
19
+
20
+ import json
21
+
22
+ import datasets
23
+
24
+
25
+ _CITATION = """\
26
+ @misc{mkqa,
27
+ title = {MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering},
28
+ author = {Shayne Longpre and Yi Lu and Joachim Daiber},
29
+ year = {2020},
30
+ URL = {https://arxiv.org/pdf/2007.15207.pdf}
31
+ }
32
+ """
33
+
34
+ _DESCRIPTION = """\
35
+ We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs sampled from the Google Natural Questions dataset, aligned across 26 typologically diverse languages (260k question-answer pairs in total). For each query we collected new passage-independent answers. These queries and answers were then human translated into 25 Non-English languages.
36
+ """
37
+ _HOMEPAGE = "https://github.com/apple/ml-mkqa"
38
+ _LICENSE = "CC BY-SA 3.0"
39
+
40
+
41
+ _URLS = {"train": "https://github.com/apple/ml-mkqa/raw/master/dataset/mkqa.jsonl.gz"}
42
+
43
+
44
+ class Mkqa(datasets.GeneratorBasedBuilder):
45
+ """MKQA dataset"""
46
+
47
+ VERSION = datasets.Version("1.0.0")
48
+ BUILDER_CONFIGS = [
49
+ datasets.BuilderConfig(
50
+ name="mkqa",
51
+ version=VERSION,
52
+ description=_DESCRIPTION,
53
+ ),
54
+ ]
55
+
56
+ def _info(self):
57
+ langs = [
58
+ "ar",
59
+ "da",
60
+ "de",
61
+ "en",
62
+ "es",
63
+ "fi",
64
+ "fr",
65
+ "he",
66
+ "hu",
67
+ "it",
68
+ "ja",
69
+ "ko",
70
+ "km",
71
+ "ms",
72
+ "nl",
73
+ "no",
74
+ "pl",
75
+ "pt",
76
+ "ru",
77
+ "sv",
78
+ "th",
79
+ "tr",
80
+ "vi",
81
+ "zh_cn",
82
+ "zh_hk",
83
+ "zh_tw",
84
+ ]
85
+
86
+ # Preferring list type instead of datasets.Sequence
87
+ queries_features = {lan: datasets.Value("string") for lan in langs}
88
+ answer_feature = [
89
+ {
90
+ "type": datasets.ClassLabel(
91
+ names=[
92
+ "entity",
93
+ "long_answer",
94
+ "unanswerable",
95
+ "date",
96
+ "number",
97
+ "number_with_unit",
98
+ "short_phrase",
99
+ "binary",
100
+ ]
101
+ ),
102
+ "entity": datasets.Value("string"),
103
+ "text": datasets.Value("string"),
104
+ "aliases": [datasets.Value("string")],
105
+ }
106
+ ]
107
+ answer_features = {lan: answer_feature for lan in langs}
108
+
109
+ features = datasets.Features(
110
+ {
111
+ "example_id": datasets.Value("string"),
112
+ "queries": queries_features,
113
+ "query": datasets.Value("string"),
114
+ "answers": answer_features,
115
+ }
116
+ )
117
+
118
+ return datasets.DatasetInfo(
119
+ description=_DESCRIPTION,
120
+ features=features,
121
+ supervised_keys=None,
122
+ homepage=_HOMEPAGE,
123
+ license=_LICENSE,
124
+ citation=_CITATION,
125
+ )
126
+
127
+ def _split_generators(self, dl_manager):
128
+ """Returns SplitGenerators."""
129
+ # download and extract URLs
130
+ urls_to_download = _URLS
131
+ downloaded_files = dl_manager.download_and_extract(urls_to_download)
132
+
133
+ return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})]
134
+
135
+ def _generate_examples(self, filepath):
136
+ """Yields examples."""
137
+ with open(filepath, encoding="utf-8") as f:
138
+ for row in f:
139
+ data = json.loads(row)
140
+ data["example_id"] = str(data["example_id"])
141
+ id_ = data["example_id"]
142
+ for language in data["answers"].keys():
143
+ # Add default values for possible missing keys
144
+ for a in data["answers"][language]:
145
+ if "aliases" not in a:
146
+ a["aliases"] = []
147
+ if "entity" not in a:
148
+ a["entity"] = ""
149
+
150
+ yield id_, data