Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
open-domain-qa
Languages:
English
Size:
10K - 100K
License:
Commit
·
d4635b4
1
Parent(s):
789f9d6
Fix typo in train split name (#3751)
Browse files* Fix typo in README guide
* Fix split naming and table alignment in README guide
* Fix split naming and table alignment in all datasets
* Fix previously malformed dataset cards
* Fix previously malformed dataset cards
Commit from https://github.com/huggingface/datasets/commit/af6e54febe3b822118dfed28ddb797d8350e5d27
- README.md +23 -6
- natural_questions.py +17 -13
README.md
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@@ -1,11 +1,27 @@
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---
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languages:
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- en
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-
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pretty_name: Natural Questions
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---
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# Dataset Card for
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## Table of Contents
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- [Dataset Description](#dataset-description)
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### Data Splits
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| name
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|default|307373|
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## Dataset Creation
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### Licensing Information
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[
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### Citation Information
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---
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annotations_creators:
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- no-annotation
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language_creators:
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- crowdsourced
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languages:
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- en
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licenses:
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- cc-by-sa-3-0
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multilinguality:
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- monolingual
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pretty_name: Natural Questions
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size_categories:
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- 100K<n<1M
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source_datasets:
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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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paperswithcode_id: natural-questions
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---
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# Dataset Card for Natural Questions
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## Table of Contents
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- [Dataset Description](#dataset-description)
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### Data Splits
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| name | train | validation |
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|---------|-------:|-----------:|
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| default | 307373 | 7830 |
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| dev | N/A | 7830 |
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## Dataset Creation
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### Licensing Information
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[Creative Commons Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/).
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### Citation Information
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natural_questions.py
CHANGED
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@@ -51,12 +51,17 @@ _DOWNLOAD_URLS = {
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"validation": ["%s/dev/nq-dev-%02d.jsonl.gz" % (_BASE_DOWNLOAD_URL, i) for i in range(5)],
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}
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class NaturalQuestions(datasets.BeamBasedBuilder):
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"""Natural Questions: A Benchmark for Question Answering Research."""
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def _info(self):
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return datasets.DatasetInfo(
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def _split_generators(self, dl_manager, pipeline):
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"""Returns SplitGenerators."""
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-
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if not pipeline.is_local():
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files = dl_manager.ship_files_with_pipeline(files, pipeline)
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-
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return [
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datasets.SplitGenerator(
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name=
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gen_kwargs={"filepaths": files[
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)
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datasets.
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gen_kwargs={"filepaths": files["validation"]},
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),
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]
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def _build_pcollection(self, pipeline, filepaths):
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html_bytes = ex_json["document_html"].encode("utf-8")
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def _parse_short_answer(short_ans):
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"""
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ans_bytes = html_bytes[short_ans["start_byte"] : short_ans["end_byte"]]
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# Remove non-breaking spaces.
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ans_bytes = ans_bytes.replace(b"\xc2\xa0", b" ")
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"validation": ["%s/dev/nq-dev-%02d.jsonl.gz" % (_BASE_DOWNLOAD_URL, i) for i in range(5)],
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}
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_VERSION = datasets.Version("0.0.3")
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class NaturalQuestions(datasets.BeamBasedBuilder):
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"""Natural Questions: A Benchmark for Question Answering Research."""
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(name="default", version=_VERSION),
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datasets.BuilderConfig(name="dev", version=_VERSION, description="Only dev split"),
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]
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DEFAULT_CONFIG_NAME = "default"
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def _info(self):
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return datasets.DatasetInfo(
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def _split_generators(self, dl_manager, pipeline):
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"""Returns SplitGenerators."""
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urls = _DOWNLOAD_URLS
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if self.config.name == "dev":
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urls = {"validation": urls["validation"]}
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files = dl_manager.download(urls)
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if not pipeline.is_local():
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files = dl_manager.ship_files_with_pipeline(files, pipeline)
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return [
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datasets.SplitGenerator(
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name=split,
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gen_kwargs={"filepaths": files[split]},
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)
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for split in [datasets.Split.TRAIN, datasets.Split.VALIDATION]
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if split in files
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]
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def _build_pcollection(self, pipeline, filepaths):
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html_bytes = ex_json["document_html"].encode("utf-8")
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def _parse_short_answer(short_ans):
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"""Extract text of short answer."""
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ans_bytes = html_bytes[short_ans["start_byte"] : short_ans["end_byte"]]
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# Remove non-breaking spaces.
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ans_bytes = ans_bytes.replace(b"\xc2\xa0", b" ")
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