DataView
E700879
DataView is ML.NET’s core, schema-aware tabular data abstraction used to efficiently represent and process datasets for machine learning pipelines.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DataView canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7858541 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DataView Context triple: [ML.NET, hasComponent, DataView]
-
A.
Table View
Table View is a coastal suburb of Cape Town, South Africa, known for its beaches and panoramic views of Table Mountain.
-
B.
Data
Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
-
C.
Power View
Power View is an interactive data visualization and reporting tool from Microsoft that enables users to create dynamic, presentation-ready dashboards and reports.
-
D.
Keys View
Keys View is a popular high-elevation overlook in Joshua Tree National Park offering expansive vistas of the Coachella Valley, Salton Sea, and surrounding mountain ranges.
-
E.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DataView Target entity description: DataView is ML.NET’s core, schema-aware tabular data abstraction used to efficiently represent and process datasets for machine learning pipelines.
-
A.
Table View
Table View is a coastal suburb of Cape Town, South Africa, known for its beaches and panoramic views of Table Mountain.
-
B.
Data
Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
-
C.
Power View
Power View is an interactive data visualization and reporting tool from Microsoft that enables users to create dynamic, presentation-ready dashboards and reports.
-
D.
Keys View
Keys View is a popular high-elevation overlook in Joshua Tree National Park offering expansive vistas of the Coachella Valley, Salton Sea, and surrounding mountain ranges.
-
E.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
ML.NET component
ⓘ
data representation API ⓘ schema-aware data structure ⓘ tabular data abstraction ⓘ |
| canBeCreatedFrom |
binary files
ⓘ
in-memory collections ⓘ relational data sources ⓘ text files ⓘ |
| definedIn |
Microsoft.ML namespace
ⓘ
linked to:
ML.NET
|
| designedFor |
.NET developers
ⓘ
high-performance data processing ⓘ machine learning workloads ⓘ |
| enables | end-to-end ML.NET pipelines ⓘ |
| exposes |
columns via getters
ⓘ
rows via cursors ⓘ schema ⓘ |
| hasConceptualSuccessor | IDataView ⓘ |
| hasProperty |
column-oriented
ⓘ
cursor-based iteration ⓘ immutable ⓘ lazy evaluation ⓘ schema-aware ⓘ streaming data access ⓘ tabular ⓘ |
| implementedIn | .NET ⓘ |
| optimizedFor |
composability of transforms
ⓘ
memory efficiency ⓘ scalability ⓘ |
| partOf | ML.NET ⓘ |
| supports |
data transformations
ⓘ
efficient data access ⓘ large datasets ⓘ pipeline composition ⓘ schema inspection ⓘ type-safe column access ⓘ |
| usedBy |
ML.NET evaluators
ⓘ
linked to:
ML.NET
ML.NET trainers ⓘ ML.NET transformers ⓘ
linked to:
ML.NET
|
| usedFor |
machine learning pipelines
ⓘ
processing datasets in ML.NET ⓘ representing datasets in ML.NET ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: DataView Description of subject: DataView is ML.NET’s core, schema-aware tabular data abstraction used to efficiently represent and process datasets for machine learning pipelines.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.