---
license: odc-by
task_categories:
- question-answering
language:
- en
pretty_name: memdoc
tags:
- rag
- conversational-memory
- agent-evaluation
---

# memdoc

A dataset for evaluating QA agents that retrieve from **both conversational memory and a document corpus**, while controlling for variance that comes from the question and its evidence themselves.

Each item is a question with 2-4 gold-evidence chunks partitioned across the two stores. The same questions and evidence can be presented as memory-only, document-only, or split across both. Because the question text and the underlying facts stay fixed, differences in agent behaviour can be attributed to **where evidence lives** and **how the agent uses the two stores**, rather than to a changing question mix.

The snapshot has **198 answerable questions**, three persona memory corpora, the MultiHop-RAG document collection, and an evidence-id → URL map. Questions and the document corpus are derived from [MultiHop-RAG](https://huggingface.co/datasets/yixuantt/MultiHopRAG) (ODC-BY). Memory sessions were generated for this work.

## Files

| Path | Role |
| --- | --- |
| `experiment_questions.csv` | Answerable questions (JSON lists in evidence columns) |
| `memory_collection/persona_{1,2,3}.json` | Eval-persona memory corpora |
| `document_collection/multihop_corpus.jsonl` | Document store |
| `document_collection/evidence_id_to_url.jsonl` | Gold evidence → article URL |