NIST Special Database 1
E363687
NIST Special Database 1 is a U.S. National Institute of Standards and Technology collection of handwritten digit images that served as a primary source for creating the widely used MNIST dataset.
All labels observed (1)
| Label | Occurrences |
|---|---|
| NIST Special Database 1 canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T3507178 — 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.
Target entity: NIST Special Database 1 Context triple: [MNIST, basedOn, NIST Special Database 1]
-
A.
Integrated Automated Fingerprint Identification System
The Integrated Automated Fingerprint Identification System is the FBI’s large-scale computerized system for storing, searching, and matching fingerprint and biometric data to support criminal identification and investigative work.
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B.
NISTAR
NISTAR is a radiometer aboard the Deep Space Climate Observatory that measures Earth’s reflected and emitted radiation to study the planet’s energy budget and climate.
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C.
ISO 10383 MIC database
The ISO 10383 MIC database is an international registry that assigns and maintains standardized Market Identifier Codes (MICs) for securities and derivatives trading venues and related entities worldwide.
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D.
Combined DNA Index System
The Combined DNA Index System (CODIS) is a national DNA database in the United States that enables law enforcement agencies to store, compare, and match DNA profiles for criminal investigations and identification.
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E.
National Instant Criminal Background Check System
The National Instant Criminal Background Check System (NICS) is a U.S. system used to quickly determine whether a prospective firearm buyer is legally eligible to purchase guns.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: NIST Special Database 1 Target entity description: NIST Special Database 1 is a U.S. National Institute of Standards and Technology collection of handwritten digit images that served as a primary source for creating the widely used MNIST dataset.
-
A.
Integrated Automated Fingerprint Identification System
The Integrated Automated Fingerprint Identification System is the FBI’s large-scale computerized system for storing, searching, and matching fingerprint and biometric data to support criminal identification and investigative work.
-
B.
NISTAR
NISTAR is a radiometer aboard the Deep Space Climate Observatory that measures Earth’s reflected and emitted radiation to study the planet’s energy budget and climate.
-
C.
ISO 10383 MIC database
The ISO 10383 MIC database is an international registry that assigns and maintains standardized Market Identifier Codes (MICs) for securities and derivatives trading venues and related entities worldwide.
-
D.
Combined DNA Index System
The Combined DNA Index System (CODIS) is a national DNA database in the United States that enables law enforcement agencies to store, compare, and match DNA profiles for criminal investigations and identification.
-
E.
National Instant Criminal Background Check System
The National Instant Criminal Background Check System (NICS) is a U.S. system used to quickly determine whether a prospective firearm buyer is legally eligible to purchase guns.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
NIST special database
ⓘ
handwritten digit image database ⓘ |
| abbreviation | NIST SD 1 ⓘ |
| accessPolicy | publicly available for research ⓘ |
| associatedWith |
EMNIST
ⓘ
surface form:
NIST handwriting databases
|
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| dataModality | grayscale images ⓘ |
| dataType |
bitmap images
ⓘ
image data ⓘ |
| describedAs | primary source for the MNIST dataset ⓘ |
| fieldOfUse |
biometrics
ⓘ
computer vision ⓘ document analysis ⓘ |
| format | digital dataset ⓘ |
| hasCategory |
handwriting dataset
ⓘ
image dataset ⓘ scientific database ⓘ |
| hasDocumentation | NIST technical reports ⓘ |
| hasIdentifier | SD 1 ⓘ |
| hasPart | handwritten digit images ⓘ |
| influenced |
MNIST
ⓘ
surface form:
MNIST database
|
| intendedUsers |
developers of OCR systems
ⓘ
machine learning practitioners ⓘ researchers ⓘ |
| isBenchmarkFor | digit classification algorithms ⓘ |
| languageOfDigits | Arabic numerals ⓘ |
| maintainedBy | National Institute of Standards and Technology ⓘ |
| organizationTypeOfProvider | federal standards laboratory ⓘ |
| partOf |
NIST Special Database program
ⓘ
surface form:
NIST Special Databases series
|
| primaryContent |
handwritten digits 0–9
ⓘ
handwritten numerals ⓘ |
| providedBy | NIST Special Database program ⓘ |
| providerAcronym |
National Institute of Standards and Technology
ⓘ
surface form:
NIST
|
| publisher | National Institute of Standards and Technology ⓘ |
| relatedTo |
NIST Special Database 19
ⓘ
NIST Special Database 3 ⓘ |
| sourceFor |
MNIST
ⓘ
surface form:
MNIST database
|
| timePeriod | late 20th century ⓘ |
| topic |
benchmark datasets
ⓘ
handwritten digit recognition ⓘ |
| usedFor |
handwriting recognition research
ⓘ
machine learning ⓘ optical character recognition ⓘ pattern recognition ⓘ |
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.
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.
Subject: NIST Special Database 1 Description of subject: NIST Special Database 1 is a U.S. National Institute of Standards and Technology collection of handwritten digit images that served as a primary source for creating the widely used MNIST dataset.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.