Dolly Dataset Filtered for Instruction Tuning

A filtered version of the Dolly dataset, designed for instruction tuning of large language models. The dataset was created by qingy2024 and was last updated in November 2024. It contains text data categorized for fine-tuning tasks.

Use Cases

• Fine-tuning a language model to follow instructions using the dataset's instruction-response pairs.
• Training models for text generation tasks based on the provided instruction categories.
• Benchmarking model performance on instruction-following capabilities using the curated prompts and completions.

Strengths

• Dataset is categorized for instruction tuning, a specific and popular training paradigm.
• Last updated in November 2024, indicating recent maintenance.

Limitations

• Unknown total number of rows and columns limits assessment of scale.
• Filtering criteria are not specified, making reproducibility difficult.

Provenance

Source

Derived from the Dolly dataset by Databricks.

Collection Method

Filtered by the author qingy2024; specific method unknown.

Freshness

Last updated 2024-11-12.

Geography

Region tags suggest a US focus.