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- 10M<n<100M
---
## Table of Contents
- [Dataset Attribution](#dataset-attribution)
- [Dataset Summary](#dataset-summary)
- [Dataset Attribution](#dataset-attribution)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
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<p><h1>🐋 The Open Orca Dataset! 🐋</h1></p>
<a name="dataset-attribution"></a>
<a name="dataset-announcement"></a>
We are thrilled to announce the release of the Open Orca dataset!
This rich collection of augmented FLAN data aligns, as best as possible, with the distributions outlined in the [Orca paper](https://arxiv.org/abs/2306.02707).
It has been instrumental in generating high-performing model checkpoints and serves as a valuable resource for all NLP researchers and developers!
<a name="dataset-summary"></a>
Dataset Summary
The Open Orca dataset is a collection of unaugmented and augmented FLAN data.
Currently ~1M GPT-4 completions, and ~3.5M GPT-3.5 completions.
It is tabularized in alignment with the distributions presented in the ORCA paper and currently represents a partial completion of the full intended dataset, with ongoing generation to expand its scope.
The data is primarily used for training and evaluation in the field of natural language processing.
<a name="dataset-attribution"></a>
Dataset Attribution
We would like to give special recognition to the following contributors for their significant efforts and dedication:
@ -70,15 +83,6 @@ Many thanks to NanoBit and Caseus, makers of [Axolotl](https://github.com/OpenAc
We are welcoming sponsors or collaborators to help us build these models to the scale they deserve. Please reach out via our socials:
http://Alignmentlab.ai https://discord.gg/n9hXaBPWxx
<a name="dataset-summary"></a>
Dataset Summary
The Open Orca dataset is a collection of unaugmented and augmented FLAN data.
Currently ~1M GPT-4 completions, and ~3.5M GPT-3.5 completions.
It is tabularized in alignment with the distributions presented in the ORCA paper and currently represents a partial completion of the full intended dataset, with ongoing generation to expand its scope.
The data is primarily used for training and evaluation in the field of natural language processing.
<a name="supported-tasks-and-leaderboards"></a>
Supported Tasks and Leaderboards