Constarium
← Search

Data · dataset · 2022

STAN Large

Listed in Hugging Face Datasets

The description below was taken from the paper "Multi-task Pairwise Neural Ranking for Hashtag Segmentation" by Maddela et al.. "STAN large, our new expert curated dataset, which includes all 12,594 unique English hashtags and their associated tweets from the same Stanford dataset.

Description

STAN small is the most commonly used dataset in previous work. However, after reexamination, we found annotation errors in 6.8% of the hashtags in this dataset, which is significant given that the error rate of the state-of-the art models is only around 10%.

Most of the errors were related to named entities. For example, #lionhead, which refers to the “Lionhead” video game company, was labeled as “lion head”. We therefore constructed the STAN large dataset of 12,594 hashtags with additional quality control for human annotations."

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Video 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsruanchaves/stan_large13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:videoenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0