Three synthetic subtasks ask models to reconstruct ordered sentences from scrambled words, characters or swaps.
unassessed
| Category | reasoning |
|---|---|
| Subcategory | word, character and swap-order reconstruction |
| Page status | active |
| Metric | multiple_choice_grade accuracy |
| Direction | higher_is_better |
| Unit | % |
| Dataset size | 300 |
| Publisher | BIG-bench collaboration |
Reordering tests sequential structure through scrambled words, scrambled characters including spaces, and sequences of word swaps.
Multiple choice across reorder_words, reorder_chars and reorder_byswap.
No model card in ModelSpec reports this benchmark yet.