Dataset · Hugging Face

GenerTeam/sequence-recovery

Name: sequence-recovery
Creator: GenerTeam
License: mit
Keywords: task_categories:text-generation, license:mit, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2502.07272, region:us, biology, genomics, long-context

Next K-mer Prediction Abouts The Next K-mer Prediction task is a zero-shot evaluation method introduced in the GENERator paper to assess the quality of pretrained models. It involves inputting a sequence segment into the model and having it predict the next K base pairs. The predicted sequence is then compared to the actual sequence to assess accuracy. Sequence: The input sequence has a maximum length of 96k base pairs (bp). You can control the number of input… See the full description on the dataset page: https://huggingface.co/datasets/GenerTeam/sequence-recovery.

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Author / organization	GenerTeam
License (as declared)	mit
Downloads	638 (as reported by Hugging Face)
Likes	8
Created	23 February 2025
Last updated at source	22 June 2026

biologygenomicslong-context

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