Two BIG-bench English subtasks: 680 five-way rhyme picks from CMUdict, and 273 verse rhyme-scheme strings.
unassessed
| Category | knowledge |
|---|---|
| Subcategory | BIG-bench English rhyme identification (680) plus verse rhyme-scheme generation (273) |
| Page status | unknown |
| Metric | multiple_choice_grade (rhyme_multiple_choice); exact_str_match (rhyme_scheme) |
| Direction | higher_is_better |
| Unit | % |
| Dataset size | 953 |
| Dataset licence | Apache-2.0 |
| Publisher | Google (BIG-bench collaboration) |
rhyming has two JSON subtasks by Oscar Knagg. rhyme_multiple_choice shows a query word and five candidates; one rhymes under CMUdict phonemes. rhyme_scheme shows a verse and asks for its letter rhyme scheme. Each gold target is a two-string list such as AA and aa. Neither subtask scores meter or performance. Parent task.json holds only metadata.
Two subtasks. rhyme_multiple_choice: five-way multiple_choice_grade (680 dummy-model multiple-choice queries). rhyme_scheme: exact_str_match free response (273 dummy-model free-text queries). Canary GUID embedded in the parent and in each subtask file.
No model card in ModelSpec reports this benchmark yet.