U
ENT-00001153 · Dataset

UltraChat

UltraChat is a large-scale chat dataset associated with Tsinghua NLP.

Level IV — ConnectedActiveStructured
Human readable record

Overview

UltraChat is a documented large-scale chat dataset used in artificial-intelligence research, evaluation or dataset construction. Its record captures the task context, public source, evaluation role and relationships to models, agents or research systems that rely on comparable measurements.

Timeline

  1. 2023UltraChat public release or documentation

    UltraChat appears in public documentation as a large-scale chat dataset associated with Tsinghua NLP.

Capabilities

Evaluation referenceComparable measurementResearch reproducibilityModel documentation support

Known limitations

Benchmark interpretation depends on task design, data quality and contamination controls.Scores should not be treated as a complete measure of intelligence.
Technical and registry detail

Technical description

Structured reference record for UltraChat. The technical layer captures source URL, creator, first-public year, evaluation or dataset role, measurable task family and relationships to model testing, retrieval, safety, coding, reasoning or multimodal assessment.

Controlled tags

DatasetEvaluationDocumentationContemporaryBatch 03 Candidate
Relationship graph
UltraChat
Created or maintained byTsinghua NLP

UltraChat is associated with Tsinghua NLP.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

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    "url": "entity.php?id=ENT-00001153",
    "sameAs": "https://github.com/thunlp/UltraChat",
    "lxkeysWorld": {
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        "organization": "Tsinghua NLP",
        "originContext": "AI evaluation and dataset record",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
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        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
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            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
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        "limitations": [
            "Benchmark interpretation depends on task design, data quality and contamination controls.",
            "Scores should not be treated as a complete measure of intelligence."
        ],
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