Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems

by   Wei Zhao, et al.

Automatic math word problem solving has attracted growing attention in recent years. The evaluation datasets used by previous works have serious limitations in terms of scale and diversity. In this paper, we release a new large-scale and template-rich math word problem dataset named Ape210K. It consists of 210K Chinese elementary school-level math problems, which is 9 times the size of the largest public dataset Math23K. Each problem contains both the gold answer and the equations needed to derive the answer. Ape210K is also of greater diversity with 56K templates, which is 25 times more than Math23K. Our analysis shows that solving Ape210K requires not only natural language understanding but also commonsense knowledge. We expect Ape210K to be a benchmark for math word problem solving systems. Experiments indicate that state-of-the-art models on the Math23K dataset perform poorly on Ape210K. We propose a copy-augmented and feature-enriched sequence to sequence (seq2seq) model, which outperforms existing models by 3.2 of the Ape210K dataset. The gap is still significant between human and our baseline model, calling for further research efforts. We make Ape210K dataset publicly available at https://github.com/yuantiku/ape210k


page 1

page 2

page 3

page 4


WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia

We present WikiReading, a large-scale natural language understanding tas...

LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction

Open Information Extraction (OIE) systems seek to compress the factual p...

CA-EHN: Commonsense Word Analogy from E-HowNet

Word analogy tasks have tended to be handcrafted, involving permutations...

Translating a Math Word Problem to an Expression Tree

Sequence-to-sequence (SEQ2SEQ) models have been successfully applied to ...

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

We introduce a large-scale dataset of math word problems and an interpre...

Down and Across: Introducing Crossword-Solving as a New NLP Benchmark

Solving crossword puzzles requires diverse reasoning capabilities, acces...

LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild

Large-scale datasets have successively proven their fundamental importan...