LetTokenBurn
Sign in
Verified100%Harbor adapterMath

ASDiv

Academia Sinica Diverse MWP Dataset

ASDiv (Academia Sinica Diverse MWP Dataset) is a diverse (in terms of both language patterns and problem types) English math word problem (MWP) corpus for evaluating the capability of various MWP solvers.

PaperRepoDatasetLeaderboardHomepage

How to run

ltb · asdiv
$ npm i -g lettokenburn-cli
$ ltb bench pull asdiv --n 50
$ ltb bench run ./asdiv -a claude-code -m anthropic/claude-opus-4-8
$ ltb bench push

License is link-only: ltb bench pull fetches rows from the original host for local evaluation only and does not write a solution/ directory. Do not redistribute the generated tasks.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

0 sourced entries

No sourced scores recorded yet.

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
Loading community runs…

About

ASDiv (Academia Sinica Diverse MWP Dataset) is a diverse (in terms of both language patterns and problem types) English math word problem (MWP) corpus for evaluating the capability of various MWP solvers. Existing MWP corpora for studying AI progress remain limited either in language usage patterns or in problem types. We thus present a new English MWP corpus with 2,305 MWPs that cover more text patterns and most problem types taught in elementary school. Each MWP is annotated with its problem type and grade level (for indicating the level of difficulty).

Available in EleutherAI lm-evaluation-harness as task family asdiv (2 tasks).