--- annotations_creators: [] language: - en language_creators: [] license: [] multilinguality: - monolingual pretty_name: 'adaption-databricks_dolly_15k' size_categories: - n<1K source_datasets: - 'extended|https://huggingface.co/datasets/databricks/databricks-dolly-15k' tags: - adaption - preference-training - animal-nature - history - sports task_categories: [] task_ids: [] --- ![banner](https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/f72607d5-590e-470d-b9c9-9508a6bfe14b.png) This dataset is a remastered version of this [dataset](https://huggingface.co/datasets/databricks/databricks-dolly-15k) prepared using [Adaption's](https://adaptionlabs.ai/app/auth) Adaptive Data platform. # adaption-databricks_dolly_15k This dataset comprises over 15,000 open-source instruction-following records generated by Databricks employees across diverse categories like brainstorming, classification, and QA. Designed for training large language models, the English-language corpus features prompt-completion pairs that mimic human behavioral patterns outlined in the InstructGPT paper. It is licensed under Creative Commons Attribution-ShareAlike 3.0 for both academic and commercial use. ### Dataset size There are 200 data points in this dataset. This is a preference training dataset. ### Quality of Remastered Dataset The final quality is B, with a relative quality improvement of 58.0%. ### Domain - Animal-nature (16%) - History (10%) - Sports (10%) ### Language - English (100%) ### Tone - Informative (74%) - Balanced (8%) - Educational (6%) ### Evaluation Results - **Quality Gains:** QualityGains - **Grade Improvement:** Grade - **Percentile Chart:** Percentile Chart