HuggingFaceBio/genomic-niah
Genomic-NIAH A long-context retrieval benchmark for genomic language models. Genomic-NIAH measures whether a DNA model actually uses its long context. Each example plants a random (KEY, VALUE) DNA pair inside a real-genome haystack and asks the model to recover VALUE given the haystack followed by KEY. Because both KEY and VALUE are uncorrelated with the surrounding sequence, the only way to succeed is to retrieve the planted pair at long range — turning the abstract question… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceBio/genomic-niah.
| Author / organization | HuggingFaceBio |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 175 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 7 May 2026 |
| Last updated at source | 18 June 2026 |
More from HuggingFaceBio
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.