binary
Datasets
All datasets matching “binary”cybergym-server-binarywikipedia-2023-11-embed-multilingual-v3-int8-binary
Multilingual Embeddings for Wikipedia in 300+ Languages (int8 & binary embeddings)
This dataset contains the wikimedia/wikipedia dataset dump from 2023-11-01 from Wikipedia in all 300+ languages. The embeddings are provided as int8 and ubinary that allow quick search and reduction of your vector index size up to 32. For more details, see Cohere int8 & binary Embeddings
The individual articles have been chunked and embedded with the state-of-the-art multilingual Cohere Embed V3… See the full description on the dataset page: https://huggingface.co/datasets/CohereLabs/wikipedia-2023-11-embed-multilingual-v3-int8-binary.ReorderBench_train_binary
ReorderBench : A Benchmark for Matrix Reordering
Matrix reordering permutes the rows and columns of a matrix to reveal meaningful visual patterns, such as blocks that represent clusters. A comprehensive collection of matrices, along with a scoring method for measuring the quality of visual patterns in these matrices, contributes to building a benchmark. This benchmark is essential for selecting or designing suitable reordering algorithms for revealing specific patterns. In this… See the full description on the dataset page: https://huggingface.co/datasets/reorderbench/ReorderBench_train_binary.data-for-my-binary-understanding-lorabinary-30k
Binary-30K: Cross-Platform Binary Dataset with Stratified Splits
Paper | Code
🔗 Original Dataset (no splits): mjbommar/binary-30k-tokenized
This is the stratified train/validation/test split version of the Binary-30K dataset, containing 29,793 unique cross-platform binaries with pre-computed tokenization. This version provides standardized splits for reproducible machine learning research.
🎯 Key Features
✅ Stratified 70/15/15 splits maintaining class balance across… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/binary-30k.arxiv_abstract_embedding_mxbai_large_v1_milvus_binaryThis repo serves as the dataset backup for PaperMatch. A semantic similarity search engine.
For more information, visit the blog: Behind PaperMatch
