The Calendar-Scheduling-Dataset is a multi-turn conversation dataset that can understand natural language scheduling constraints, follow instructions across multiple messages, infer scheduling conflicts and satisfy multiple constraints simultaneously. Each event has constraints around duration (e.g. 45 min) and timing (e.g. should be scheduled after 3pm). The user mentions the events and associated constraints in a random order in a natural conversational… See the full description on the dataset page:
https://huggingface.co/datasets/Arsh9210/Nemotron-RL-Instruction-Following-Calendar-v2.
