web_questions

• Description:

This dataset consists of 6,642 question/answer pairs. The questions are supposed to be answerable by Freebase, a large knowledge graph. The questions are mostly centered around a single named entity. The questions are popular ones asked on the web (at least in 2013).

• Additional Documentation: Explore on Papers With Code

• Homepage: https://worksheets.codalab.org/worksheets/0xba659fe363cb46e7a505c5b6a774dc8a

• Source code: tfds.question_answering.WebQuestions

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: 1.21 MiB

• Dataset size: 983.88 KiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'test'	2,032
'train'	3,778

• Feature structure:

FeaturesDict({
    'answers': Sequence(Text(shape=(), dtype=string)),
    'question': Text(shape=(), dtype=string),
    'url': Text(shape=(), dtype=string),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
answers	Sequence(Text)	(None,)	string
question	Text		string
url	Text		string

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@inproceedings{berant-etal-2013-semantic,
    title = "Semantic Parsing on {F}reebase from Question-Answer Pairs",
    author = "Berant, Jonathan  and
      Chou, Andrew  and
      Frostig, Roy  and
      Liang, Percy",
    booktitle = "Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2013",
    address = "Seattle, Washington, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/D13-1160",
    pages = "1533--1544",
}