Hugging Face Datasets
metadata only
sentence-transformers/embedding-training-data
Training Data for Text Embedding Models [!NOTE] This repository contains raw datasets, all of which have also been formatted for easy training in the Embedding Model Datasets collection. We recommend looking there first. This repository contains training files to train text embedding models, e.g. using sentence-transformers. Data Format All files are in a jsonl.gz format: Each line contains a JSON-object that represent one training example. The JSON objects can…
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Beyond Raw Context Transfer: Representation-based Federated Retrieval-Augmented Generation#1036845
- Synthetic Semantic Supervision for Contrastive Code Representation Learning in Small Transformers: An Empirical Study#926594
- Introduction to Deep Learning: Neural Networks, Large Language Models and Agentic AI#204210
- FlexComp: One Model for Every Ratio in Context Compression#998741
- MegaGraph: Towards Efficient Training of Large-Scale Graph Transformers with Automated Hybrid Parallelism#1128691
Record · ID 786991
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive