QUEST RL Data: Chat Prompts and Reward Configurations for Reinforcement Learning

Training split for the QUEST / DeepResearch reinforcement learning recipe. The dataset includes fields for prompt, reward_model, and extra_info. It was created by osunlp and last updated on 2026-05-27.

Use Cases

• Training reinforcement learning agents based on chat-style prompt data.
• Analyzing reward model configurations for different tasks.
• Benchmarking RLHF training pipelines using structured prompt-reward pairs.

Strengths

• Includes a dedicated training split for a specific RL recipe.
• Contains structured fields for prompt, reward model configuration, and metadata.

Limitations

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

Provenance

Source

huggingface

Collection Method

Likely generated as part of the QUEST / DeepResearch project for RL training.

Freshness

Last updated 2026-05-27 04:32:59; freshness should be verified.