Elgold intermediate: annotated raw - Open Research Data - MOST Wiedzy

Wyszukiwarka

Elgold intermediate: annotated raw

Opis

The dataset contains a subset of texts from Elgold intermediate: raw texts with named entities marked and linked to corresponding Wikipedia articles. The texts were annotated by 31 participants during the 1.5-hour session.

Each marked entity in the dataset is assigned to one of the following classes:
EVENT - Named hurricanes, battles, wars, sports events, etc.
FAC - Buildings, airports, highways, bridges, etc.
GPE - Countries, cities, states
LANGUAGE - Any named language
LAW - Named documents made into laws.
LOC - Non-GPE locations, mountain ranges, bodies of water
NORP - Nationalities or religious or political groups
ORG - Companies, agencies, institutions, etc.
PERSON - People, including fictional
PRODUCT - Objects, vehicles, foods, etc. (not services)
WORK_OF_ART - Titles of books, songs, etc.
DISEASE - Names of diseases
SUBSTANCE - Natural substances
SPECIE - Species names of animals, plants, viruses, etc.

The marked entities are embedded directly in the textual files using the following syntax:

{{mention content|entity class|Wikipedia target}}

The "mention content" is a fragment of the textual file that was marked, "entity class" is the named entity class, and "Wikipedia target" is the normalized name of the English Wikipedia page describing the entity. If the entity cannot be linked sensibly to any article the target is empty but the second pipe (|) is preserved. 

The annotated texts were not later verified by the dataset authors. It makes it a good resource for analyzing different understandings of named entity recognition tasks among the annotators. 

Plik z danymi badawczymi

annotated-raw.zip
274.8 kB, S3 ETag 5ea54821244f198727fea56c2f7cee33-1, pobrań: 40
Hash pliku liczony jest ze wzoru
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} gdzie pojedyncza część pliku jest wielkości 512 MB

Przykładowy skrypt do wyliczenia:
https://github.com/antespi/s3md5
pobierz plik annotated-raw.zip

Informacje szczegółowe o pliku

Licencja:
Creative Commons: by 4.0 otwiera się w nowej karcie
CC BY
Uznanie autorstwa

Informacje szczegółowe

Rok publikacji:
2024
Data zatwierdzenia:
2024-07-30
Język danych badawczych:
angielski
Dyscypliny:
  • informatyka techniczna i telekomunikacja (Dziedzina nauk inżynieryjno-technicznych)
DOI:
Identyfikator DOI 10.34808/th9p-e861 otwiera się w nowej karcie
Seria:
Weryfikacja:
Politechnika Gdańska

Słowa kluczowe

Powiązane zasoby

Cytuj jako

wyświetlono 82 razy