This repository is an effort to recreate the "Self-Rewarding Language Models" paper by the team at [Meta.ai](http://meta.ai/) but with using a smaller model that is able to be fine tuned by the community. https://arxiv.org/abs/2401.10020

Embeddings for Wikipedia This dataset contains the wikimedia/wikipedia dataset dump from 2023-11-01 from Wikipedia in english

A dataset of images of farm animals and classified by type. Includes Bovine, Chicken, Duck, Goose, Pig, Mule, Owl, Turkey, and Sheep.

Sample datasets for download. Includes files in CSV, Parquet, Arrow, JSON, and TSV formats.

This dataset contains 3.3K expert-level pairwise human preferences for model responses generated by 6 models in response to 80 MT-bench questions. The annotators are mostly graduate students with expertise in the topic areas of each of the questions.

Measuring Massive Multitask Language Understanding | ICLR 2021

This repository is a supplement to our diff documentation https://docs.oxen.ai/concepts/diffs to demonstrate how Oxen diffs work.

Dataset containing RGB images paired with depthmaps.