datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
agent-memory-benchmark
Agent Memory Compression & Evaluation Benchmark
This dataset is a controlled evaluation testbed designed to benchmark long-term memory architectures for conversational AI agents. It stress-tests how agents handle long conversations with complex fact dynamics.
Dataset Structure
1. conversation.json
A 100-turn synthetic conversation (50 user, 50 assistant turns) containing embedded facts categorized under:
Simple Facts: Baseline retrieval details.… See the full description on the dataset page: https://huggingface.co/datasets/kushalicious/agent-memory-benchmark.long-horizon-agent-memory
Long-Horizon Agent-Memory Benchmark
A benchmark for evaluating agent memory and long-horizon consistency. Each case is an
event stream (a multi-step conversation/trajectory) overlaid with stages that probe
individual memory capabilities, each carrying a failure-mode label.
Structure (40 cases, 288 stages)
events[] — the full incremental event stream (one record per line in cases.jsonl).
stages[] — a sparse scoring overlay: each stage has a capability, a probe… See the full description on the dataset page: https://huggingface.co/datasets/HieuNguyenDang/long-horizon-agent-memory.