Training a 1.58 Bit LLM

Polar sentiment dataset of sentences from financial news. The dataset consists of sentences from English language financial news categorized by sentiment.

Pipeline to answer questions about papers from Arxiv Dives

This is 50k Simple Wikipedia Articles for testing embeddings models on

Predicting moments of contact between player pairs, as well as when players make non-foot contact with the ground using game footage and tracking data.

A dataset for evaluating answer extraction in a RAG pipeline.

Question answering dataset.

A fine-tuning run to generate logos of frogs and lillypads for mirascope