FindVehicle

Dataset Information
Modalities
Texts
Languages
English
Introduced
2022
License
CC BY-NC
Homepage
Official Website
Contents

Overview

The first NER dataset in the field of traffic, which is to extract the characteristics and attributes of the vehicle on the road.

  • Both flat and overlapped named entities annotation.
  • Both coarse-grained and fine-grained named entities.
  • It contains 8 kinds of coarse-grained entities and 12 kinds of fine-grained entities. (It includes 65 vehicle brands and 4793 vehicle models all over the world.)

Variants: FindVehicle

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Named Entity Recognition (NER) UniNER-7B UniversalNER: Targeted Distillation from Large … 2023-08-07
Named Entity Recognition (NER) FLERT FLERT: Document-Level Features for Named … 2020-11-13
Named Entity Recognition (NER) BiLSTM-CRF Bidirectional LSTM-CRF Models for Sequence … 2015-08-09

Research Papers

Recent papers with results on this dataset:

External Links: