A 164-item BIG-bench Lite task that infers a ciphered language from a few examples, then translates to or from English.
unassessed
| Category | translation |
|---|---|
| Subcategory | BIG-bench Lite few-shot ciphered-language translation (164 items, 16 direction pairs) |
| Page status | unknown |
| Metric | rougeLsum |
| Direction | higher_is_better |
| Dataset size | 164 |
| Dataset licence | Apache-2.0 |
| Publisher | Google (BIG-bench collaboration) |
conlang_translation gives a short grammar-puzzle prompt in the style of NACLO and IOL problems: several sentence pairs between English and a constructed or ciphered language, then a held-out sentence to translate. Real words are replaced; the model must induce lexicon, morphology, and word order from the examples. Eight language pairs, each in both directions. Authors: Rowan Jacobs, James Koppel, and Mimee Xu. Not conventional corpus MT and not [LingOly](lingoly.md).
Free-text generation. Preferred metric rougeLsum; also bleu, exact_str_match, and other ROUGE variants. Parent task.json holds name and keywords; items live in 16 subtask JSON files. Canary GUID embedded. BIG-bench Lite member.
No model card in ModelSpec reports this benchmark yet.