Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
| license: cc-by-sa-3.0 | |
| task_categories: | |
| - question-answering | |
| language: | |
| - en | |
| # Transformed Databricks-Dolly-15k Dataset | |
| ## Summary | |
| The Transformed Databricks-Dolly-15k dataset is a modification of the original open-source dataset created by Databricks employees, designed to facilitate instruction-following abilities in large language models (LLMs). This version has been specifically adapted to include responses in a JSON format, enhancing its utility for tasks requiring structured output. | |
| ## Modifications | |
| The primary transformation applied to the original dataset involves converting the `response` field of each record into a JSON object with a key `"answer"`, making it directly usable for fine-tuning LLMs with a preference for JSON-formatted outputs. | |
| ## Supported Tasks | |
| - Training LLMs with structured JSON outputs | |
| - Synthetic Data Generation with JSON responses | |
| - Data Augmentation for structured data applications | |
| ## Languages | |
| English | |
| ## Version | |
| Transformed Dataset: 1.0 | |
| Based on Original Dataset Version: 1.0 | |
| ## Owner | |
| Databricks, Inc. | |
| ## Dataset Overview | |
| The dataset comprises over 15,000 records, with each entry now featuring a response encapsulated in a JSON object. These modifications are intended to support the development of LLMs capable of generating structured outputs, facilitating a wide range of applications from synthetic data generation to data augmentation. | |
| ## Intended Uses | |
| This transformed dataset is suited for the same broad range of applications as the original, with the added benefit of structured responses for tasks that require or benefit from JSON-formatted output. | |
| ## Sources | |
| - **Human-generated data:** Created by Databricks employees. | |
| - **Wikipedia:** Used for certain categories requiring reference texts. | |
| ## Annotator Guidelines | |
| The original dataset's annotation guidelines remain relevant, with the additional step of structuring responses in JSON format. | |
| ## Personal or Sensitive Data | |
| No personal or sensitive data is included in this dataset. | |
| ## Language | |
| American English | |
| ## Known Limitations | |
| The limitations of the original dataset, including potential biases and factual errors inherent in Wikipedia, are applicable to this transformed version. | |
| ## Citation | |
| Please cite the original dataset as follows, with an additional note on the transformation if necessary: | |
| ```bibtex | |
| @online{DatabricksBlog2023DollyV2, | |
| author = {Mike Conover and Matt Hayes and Ankit Mathur and Jianwei Xie and Jun Wan and Sam Shah and Ali Ghodsi and Patrick Wendell and Matei Zaharia and Reynold Xin}, | |
| title = {Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM}, | |
| year = {2023}, | |
| url = {https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm}, | |
| urldate = {2023-06-30} | |
| } | |
| ``` | |
| License/Attribution | |
| This transformed dataset is based on work developed at Databricks (https://www.databricks.com) and its use is subject to the Creative Commons Attribution-ShareAlike 3.0 Unported License, consistent with the original dataset's licensing terms. |