MSMARCO few-shot evaluation dataset for in-context learning generative retrieval,
atomic-id variant.
Identical construction to
Lala8383/msmarco-item-id-3shot-v4_128k_few_shot,
except every document's Identifier (and the answer target) is an arbitrary
unique integer (Tay et al. DSI "Atomic Docid") instead of the natural-language
document title. The id carries no semantics, so a retriever can only answer by
matching the query to a document in… See the full description on the dataset page:
https://huggingface.co/datasets/Lala8383/msmarco-atomic-id-3shot-v4_128k_few_shot.
