datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.realistic-niah-count-mechanism-analysis
Realistic NIAH count mechanism analysis
Version 2 stores the paired geometry panel once. The default
geometry_shared configuration contains 300 unique V4.4 stimulus rows: 200
discovery rows (seeds 1234-1253) and 100 held-out confirmation rows (seeds
1254-1263), with counts 1-10 balanced within every seed. Each pair_id is now
one row rather than two duplicated mode rows.
The common row contains the passage, gold records, slots, active needle spans,
hard negatives, design metadata… See the full description on the dataset page: https://huggingface.co/datasets/twistshan/realistic-niah-count-mechanism-analysis.