Download croissant.json from notmehul/memory-bench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/notmehul/memory-bench/resolve/main/croissant.json
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hf download hf://datasets/notmehul/memory-bench/croissant.json
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curl -L -o croissant.json https://huggingface.co/datasets/notmehul/memory-bench/resolve/main/croissant.json
8.63 kB
| { | |
| "@context": { | |
| "@vocab": "https://schema.org/", | |
| "cr": "http://mlcommons.org/croissant/", | |
| "sc": "https://schema.org/", | |
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| "@type": "@json" | |
| }, | |
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| }, | |
| "@type": "sc:Dataset", | |
| "conformsTo": "http://mlcommons.org/croissant/1.0", | |
| "name": "memory-bench", | |
| "version": "1.0.0", | |
| "description": "A screened benchmark for organizational memory in agent harnesses. Three simulated software organizations, each a multi-week stream of meetings, messages and documents delivered per principal, with behavioral work-task probes injected at eval time and scored against machine-checkable assertions. Every probe instance is paired with a counterfactual twin: an instance is credited only if both the base and twin sides pass, so knowledge answerable from priors earns nothing. 371 valid paired instances across four probe archetypes, screened under a pinned worker with fully blinded judging. The ground-truth ledger and two holdout seeds are withheld.", | |
| "license": "https://creativecommons.org/licenses/by/4.0/", | |
| "url": "https://github.com/notmehul/memory-bench", | |
| "citeAs": "Srivastava, M. (2026). memory-bench: A Screened Benchmark Dataset and Validity Study for Organizational Memory in Agent Harnesses. Zenodo. https://doi.org/10.5281/zenodo.22838320", | |
| "identifier": "https://huggingface.co/datasets/notmehul/memory-bench", | |
| "keywords": [ | |
| "agent memory", | |
| "organizational memory", | |
| "continual learning", | |
| "benchmark", | |
| "counterfactual evaluation", | |
| "LLM agents" | |
| ], | |
| "datePublished": "2026-09-14", | |
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