dolphin_number_word

• Description:

Dolphin Math Word Problem dataset (2015), as presented in https://www.microsoft.com/en-us/research/uploads/prod/2016/02//dolphin-sigmadolphin.datasets.pdf

• Homepage: https://www.microsoft.com/en-us/research/project/sigmadolphin-2/

• Source code: tfds.text.dolphin_number_word.DolphinNumberWord

• Versions:

  • 0.0.1: Initial release.
  • 0.0.2: RaggedTensor fix. Equations and Sources represented as a singlestring with components delimited by spaces
  • 0.0.3 (default): Reintroduced logic to handle edge-case involving examples without sources.

• Download size: 280.42 KiB

• Dataset size: 1.49 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'test'	3,507
'train'	864

• Feature structure:

FeaturesDict({
    'ans': Text(shape=(), dtype=string),
    'equations': Text(shape=(), dtype=string),
    'id': Text(shape=(), dtype=string),
    'index': int32,
    'sources': Text(shape=(), dtype=string),
    'text': Text(shape=(), dtype=string),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
ans	Text		string
equations	Text		string
id	Text		string
index	Tensor		int32
sources	Text		string
text	Text		string

• Supervised keys (See as_supervised doc): ('text', 'ans')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@inproceedings{inproceedings,
author = {Shi, Shuming and Wang, Yuehui and Lin, Chin-Yew and Liu, Xiaojiang and Rui, Yong},
year = {2015},
month = {09},
pages = {},
title = {Automatically Solving Number Word Problems by Semantic Parsing and Reasoning},
doi = {10.18653/v1/D15-1135}
}