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THU-KEG/LongTraceRL

LongTraceRL Dataset Dataset Description LongTraceRL is a long-context multi-hop QA dataset designed for reinforcement learning training. Each sample contains a ~128K-token context with trajectory-based tiered distractors, a multi-hop question, a ground-truth answer, and gold rubric entities for process-level reward supervision. Dataset Details Samples: 2,815 training examples Context Length: ~128K tokens per sample Language: English Source:… See the full description on the dataset page: https://huggingface.co/datasets/THU-KEG/LongTraceRL.

Author / organizationTHU-KEG
License (as declared)apache-2.0
Downloads143 (as reported by Hugging Face)
Likes2
Created27 May 2026
Last updated at source1 June 2026
long-contextreinforcement-learningreasoningknowledge-graphrubric-reward
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