This repository contains approximately 500,000 instances of responses generated using QwQ-32B-Preview language model. The dataset combines prompts from multiple high-quality sources to create diverse and comprehensive training data. The dataset is available under the Apache 2.0 license.

Over 75% of the responses exceed 8,000 tokens in length. The majority of prompts were carefully created using persona-based methods to create challenging instructions.

Bias, Risks, and Limitations

• This dataset is mainly in English.

• The dataset inherits the biases, errors, and omissions known to exist in data used for seed sources and models used for data generation.

• This dataset is not intended to represent any specific domain, and contains generic data.

• The dataset is synthetically generated and hence may contain inaccuracies that do not accurately reflect real-world phenomena.

• The synthetic nature of this dataset may limit its ability to generalize to real-world cases.

• The data is intended for research and experimentation for model training and synthetic data generation.