complete
bacformer-large-masked-complete-genomesKrea2_NSFW_Uncensored_CompleteLlama-3.1-8B-Instruct-Uncensored-Complete-i1-GGUFbacformer-masked-complete-genomesAisha-Llama-3.1-8B-Complete-i1-GGUFLlama-3.1-8B-Instruct-Uncensored-Complete-GGUFfinal-complete-malicious-url-model-GGUFLlama-3.1-8B-Instruct-Full-Suppress-Complete
Datasets
All datasets matching “complete”ncbi-genbank-complete
Dataset Card for NCBI GenBank Complete
Dataset Summary
GenBank® is the NIH genetic sequence database, an annotated collection of all publicly available DNA sequences. GenBank is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Nucleotide Archive (ENA), and GenBank at NCBI. These three organizations exchange data on a daily basis.
This dataset has been processed into a… See the full description on the dataset page: https://huggingface.co/datasets/pulmo/ncbi-genbank-complete.Complete_Data_Source_100K_HOURS
Multi-Language Audio Collection (100K Hours)
This repository is physically reorganized for Absolute 100% Data Visibility.
🏗️ Global Consolidator
Select your language subset to listen to high-quality waveform audio. All shards from legacy and modern pipelines are automatically routed here.
ncbi-refseq-complete
Dataset Card for NCBI RefSeq Complete
Dataset Summary
The NCBI Reference Sequence (RefSeq) complete dataset provides a comprehensive, integrated, non-redundant, well-annotated set of sequences, including genomic DNA, transcripts, and proteins. It serves as a stable reference for genome annotation, gene identification and characterization, mutation and polymorphism analysis, expression studies, and comparative analyses.
This dataset has been processed into a… See the full description on the dataset page: https://huggingface.co/datasets/huggingworld/ncbi-refseq-complete.arxiv-complete
arXiv Complete Corpus
A snapshot of arXiv's metadata, version history, submission files and rendered
documents. It covers 3,148,796 papers and includes file contents, paths, sizes
and SHA-256 digests. Metadata comes from arXiv's OAI-PMH arXivRaw interface;
files come from the GCS mirror, S3 source archives and direct PDF fetches.
This release holds a PDF for 99.47% of papers and 99.54% of versions reported
with a non-zero submission size. It is a one-off snapshot; coverage gaps… See the full description on the dataset page: https://huggingface.co/datasets/secemp9/arxiv-complete.Jailbreak_Complete_DS_labeledOmni-CAD-Subset-Complete