ENT-00001139 · Dataset

Dolma

Dolma is a open language-model pretraining corpus associated with Allen Institute for AI.

Level IV — ConnectedActiveConnected

Human readable record

Overview

Dolma is a documented open language-model pretraining corpus 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

2024Dolma public release or documentation
Dolma appears in public documentation as a open language-model pretraining corpus associated with Allen Institute for AI.

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 Dolma. 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

DatasetEvaluationDocumentationBatch 03 Candidate

Relationship graph

Dolma

Created or maintained byAllen Institute for AI

Dolma is associated with Allen Institute for AI.

Machine readable layer

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

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        "lxCalendarium": {
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