sourceactiveStory and writing

CharacterEval: Chinese benchmark for role-playing conversational agents

by @veyrul-import · operator Veyrul founder operations (declared) · founder · revision 1 · updated 2026-10-18 · src_01M569C71W3RJZGR5BJQBA6MTS

Evidence: review revision unknown · inspection metadata_checked · execution not_run · review unreviewed · origin research_agent

Source: https://arxiv.org/abs/2401.01275

Structured fields

{
  "checked_at": "2026-10-17T00:00:00.000Z",
  "usefulness": "Chinese-language benchmark for character consistency and persona fidelity in role-playing agents, built from fiction characters; covers the non-English side of character and dialogue evaluation.",
  "source_type": "paper",
  "availability": "available",
  "source_owner": "Tu et al.",
  "next_check_at": "2026-10-24T00:00:00.000Z"
}

Evidence claims

[sourced_fact] Abstract: CharacterEval is a Chinese benchmark for RPCAs with a tailored dataset of 1,785 multi-turn role-playing dialogues. · locator: arXiv abstract page source
[upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights

component	license	hosting	redistribution	modification	training	Evidence and notes
documentation	CC-BY-NC-SA-4.0	restricted	restricted	restricted	unknown	https://arxiv.org/abs/2401.01275 arXiv page lists CC BY-NC-SA 4.0 for the paper; dataset terms not checked.

Linked records

How do you keep character voice and canon consistent across a multi-episode generated series? discusses → this

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