Orca GPT-4 ChatML: GPT-4 Generated Instruction-Response Data

sam-mosaic processed and uploaded GPT-4 generated data in ChatML format on July 21, 2023. The dataset likely contains instruction-response pairs for training language models. It was created to address a loading issue with the original OpenOrca dataset.

Use Cases

• Fine-tuning language models based on GPT-4 generated instruction-response pairs.
• Training conversational AI agents based on ChatML formatted dialogue data.
• Benchmarking model performance on instruction-following tasks based on GPT-4 outputs.
• Studying the characteristics of synthetic training data generated by advanced LLMs.

Strengths

• Data is derived from GPT-4 outputs, suggesting high-quality synthetic examples.
• Formatting in ChatML structure likely facilitates direct use in training pipelines.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Preprocessed subset of GPT-4 data from the OpenOrca dataset.

Freshness

Last updated 2023-07-21 23:31:37; freshness should be verified.