Constarium
← Search

Data · dataset · 2024

MixRED Dataset

Listed in ScienceDB

To facilitate the MixRE task, we introduce the first human-annotated Mix-lingual Relation Extraction Dataset (MixRED).

Description

MixRED is meticulously constructed by blending English, Chinese, Japanese, and German versions of documents through a systematic construction framework. This framework identifies crucial elements in texts and emphasizes them to generate mix-lingual content, aiming to optimize the potential impact on model performance.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Linguistics 74%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.jcst.0001011 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:4704enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (74%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
license_textsource · scidb cnconnector:scidb_cn@1.0.0
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title