Datasets › Mathematics Dataset

Mathematics Dataset

Introduced by David Saxton et al. in Analysing Mathematical Reasoning Abilities of Neural Models2 Apr 2019 archive 2025-07-28

This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty. This is designed to test the mathematical learning and algebraic reasoning skills of learning models.

Source: DeepMind

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Question Answering Mathematics Dataset TP-Transformer Accuracy 0.8192 Enhancing the Transformer with Explicit Relational... ischlag/TP-Transformer +2 3 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 19. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving 3 1 15 Oct 2019 ran 1 of 11 samples (10 unverified)
Analysing Mathematical Reasoning Abilities of Neural Models 7 2 2 Apr 2019 ran 0 of 1 samples (1 unverified)

Dataset loaders archive 2025-07-28

5 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache License 2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Mathematics Dataset

1 variant name, as the archive lists them.

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