Update files from the datasets library (from 1.2.0)

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

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README.md

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+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- found
+languages:
+- ar
+- da
+- de
+- en
+- es
+- fi
+- fr
+- he
+- hu
+- it
+- ja
+- ko
+- km
+- ms
+- nl
+- no
+- pl
+- pt
+- ru
+- sv
+- th
+- tr
+- vi
+- zh
+licenses:
+- cc-by-3-0
+multilinguality:
+- multilingual
+- translation
+size_categories:
+- 1K<n<10K
+source_datasets:
+- extended|natural_questions
+- original
+task_categories:
+- question-answering
+task_ids:
+- open-domain-qa
+---
+
+# Dataset Card for MKQA: Multilingual Knowledge Questions & Answers
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- [**Homepage:**](https://github.com/apple/ml-mkqa/)
+- [**Paper:**](https://arxiv.org/abs/2007.15207)
+
+### Dataset Summary
+
+MKQA contains 10,000 queries sampled from the [Google Natural Questions dataset](https://github.com/google-research-datasets/natural-questions).  
+
+For each query we collect new passage-independent answers. 
+These queries and answers are then human translated into 25 Non-English languages.
+
+### Supported Tasks and Leaderboards
+
+`question-answering`
+
+### Languages
+
+| Language code | Language name |
+|---------------|---------------|
+| `ar`     | `Arabic`                    |
+| `da`     | `Danish`                    |
+| `de`     | `German`                    |
+| `en`     | `English`                   |
+| `es`     | `Spanish`                   |
+| `fi`     | `Finnish`                   |
+| `fr`     | `French`                    |
+| `he`     | `Hebrew`                    |
+| `hu`     | `Hungarian`                 |
+| `it`     | `Italian`                   |
+| `ja`     | `Japanese`                  |
+| `ko`     | `Korean`                    |
+| `km`     | `Khmer`                    |
+| `ms`     | `Malay`                     |
+| `nl`     | `Dutch`                     |
+| `no`     | `Norwegian`                 |
+| `pl`     | `Polish`                    |
+| `pt`     | `Portuguese`                |
+| `ru`     | `Russian`                   |
+| `sv`     | `Swedish`                   |
+| `th`     | `Thai`                      |
+| `tr`     | `Turkish`                   |
+| `vi`     | `Vietnamese`                |
+| `zh_cn`     | `Chinese (Simplified)`   |
+| `zh_hk`     | `Chinese (Hong kong)`    |
+| `zh_tw`     | `Chinese (Traditional)`  |
+
+## Dataset Structure
+
+### Data Instances
+
+An example from the data set looks as follows:
+
+```
+{
+ 'example_id': 563260143484355911,
+ 'queries': {
+  'en': "who sings i hear you knocking but you can't come in",
+  'ru': "кто поет i hear you knocking but you can't come in",
+  'ja': '「 I hear you knocking」は誰が歌っていますか',
+  'zh_cn': "《i hear you knocking but you can't come in》是谁演唱的",
+  ...
+ },
+ 'query': "who sings i hear you knocking but you can't come in",
+ 'answers': {'en': [{'type': 'entity',
+    'entity': 'Q545186',
+    'text': 'Dave Edmunds',
+    'aliases': []}],
+  'ru': [{'type': 'entity',
+    'entity': 'Q545186',
+    'text': 'Эдмундс, Дэйв',
+    'aliases': ['Эдмундс', 'Дэйв Эдмундс', 'Эдмундс Дэйв', 'Dave Edmunds']}],
+  'ja': [{'type': 'entity',
+    'entity': 'Q545186',
+    'text': 'デイヴ・エドモンズ',
+    'aliases': ['デーブ・エドモンズ', 'デイブ・エドモンズ']}],
+  'zh_cn': [{'type': 'entity', 'text': '戴维·埃德蒙兹 ', 'entity': 'Q545186'}],
+  ...
+  },
+}
+
+```
+
+### Data Fields
+
+Each example in the dataset contains the unique Natural Questions `example_id`, the original English `query`, and then `queries` and `answers` in 26 languages.
+Each answer is labelled with an answer type. The breakdown is:
+
+| Answer Type | Occurrence |
+|---------------|---------------|
+| `entity`               | `4221`             |
+| `long_answer`          | `1815`             |
+| `unanswerable`         | `1427`             |
+| `date`                 | `1174`             |
+| `number`               | `485`              |
+| `number_with_unit`     | `394`              |
+| `short_phrase`         | `346`              |
+| `binary`               | `138`              |
+  
+For each language, there can be more than one acceptable textual answer, in order to capture a variety of possible valid answers. 
+
+Detailed explanation of fields taken from [here](https://github.com/apple/ml-mkqa/#dataset)
+
+when `entity` field is not available it is set to an empty string ''.
+when `aliases` field is not available it is set to an empty list [].
+
+### Data Splits
+
+- Train: 10000
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+[Google Natural Questions dataset](https://github.com/google-research-datasets/natural-questions)
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[CC BY-SA 3.0](https://github.com/apple/ml-mkqa#license)
+
+### Citation Information
+```
+@misc{mkqa,
+    title = {MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering},
+    author = {Shayne Longpre and Yi Lu and Joachim Daiber},
+    year = {2020},
+    URL = {https://arxiv.org/pdf/2007.15207.pdf}
+}
+```

dataset_infos.json

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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": 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dummy/mkqa/1.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:19ee501097ba297de6004aef3e529b3d53930a1f74eac78008847b3f4b627be2
+size 5752

mkqa.py

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+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""MKQA: Multilingual Knowledge Questions & Answers"""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+
+import datasets
+
+
+_CITATION = """\
+@misc{mkqa,
+    title = {MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering},
+    author = {Shayne Longpre and Yi Lu and Joachim Daiber},
+    year = {2020},
+    URL = {https://arxiv.org/pdf/2007.15207.pdf}
+}
+"""
+
+_DESCRIPTION = """\
+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.
+"""
+_HOMEPAGE = "https://github.com/apple/ml-mkqa"
+_LICENSE = "CC BY-SA 3.0"
+
+
+_URLS = {"train": "https://github.com/apple/ml-mkqa/raw/master/dataset/mkqa.jsonl.gz"}
+
+
+class Mkqa(datasets.GeneratorBasedBuilder):
+    """MKQA dataset"""
+
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="mkqa",
+            version=VERSION,
+            description=_DESCRIPTION,
+        ),
+    ]
+
+    def _info(self):
+        langs = [
+            "ar",
+            "da",
+            "de",
+            "en",
+            "es",
+            "fi",
+            "fr",
+            "he",
+            "hu",
+            "it",
+            "ja",
+            "ko",
+            "km",
+            "ms",
+            "nl",
+            "no",
+            "pl",
+            "pt",
+            "ru",
+            "sv",
+            "th",
+            "tr",
+            "vi",
+            "zh_cn",
+            "zh_hk",
+            "zh_tw",
+        ]
+
+        # Preferring list type instead of datasets.Sequence
+        queries_features = {lan: datasets.Value("string") for lan in langs}
+        answer_feature = [
+            {
+                "type": datasets.ClassLabel(
+                    names=[
+                        "entity",
+                        "long_answer",
+                        "unanswerable",
+                        "date",
+                        "number",
+                        "number_with_unit",
+                        "short_phrase",
+                        "binary",
+                    ]
+                ),
+                "entity": datasets.Value("string"),
+                "text": datasets.Value("string"),
+                "aliases": [datasets.Value("string")],
+            }
+        ]
+        answer_features = {lan: answer_feature for lan in langs}
+
+        features = datasets.Features(
+            {
+                "example_id": datasets.Value("string"),
+                "queries": queries_features,
+                "query": datasets.Value("string"),
+                "answers": answer_features,
+            }
+        )
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # download and extract URLs
+        urls_to_download = _URLS
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as f:
+            for row in f:
+                data = json.loads(row)
+                data["example_id"] = str(data["example_id"])
+                id_ = data["example_id"]
+                for language in data["answers"].keys():
+                    # Add default values for possible missing keys
+                    for a in data["answers"][language]:
+                        if "aliases" not in a:
+                            a["aliases"] = []
+                        if "entity" not in a:
+                            a["entity"] = ""
+
+                yield id_, data