entity recognition
named-entity-recognition-nerkor-hubert-hungarianSupersaiyan1729_-_financeLM_outputpath_Named_Entity_Recognition__25_gpt2small-ggufnamed_entity-recognition-fine_tuned-conll2003-distilbertNamed-entity-recognitionconflibert-named-entity-recognitionUnBIAS-Named-Entity-Recognitionbert-named-entity-recognitionbert-finetuned-named-entity-recognition-ner
named_entity_recognition_document_contextentity_recognition
Data for the NERMuD shared task (Evalita 2023)
This data is the one used for the NERMuD shared task organized
at Evalita 2023.
The dataset contains the Wikinews, fiction, and De Gasperi subsets of KIND, where test data is used for development.
Content of the dataset
Split
Sentences
wn_train
10,912
wn_dev
2,594
wn_test
2,088
fic_train11,423
fic_dev
1,051
fic_test
1,517
adg_train
5,147
adg_dev
1,122
adg_test
521
Set
Sentences… See the full description on the dataset page: https://huggingface.co/datasets/evalitahf/entity_recognition.flan_combined_task1544_conll2002_named_entity_recognition_answer_generationamharic-named-entity-recognition
Amharic Named Entity Recognition Dataset
This dataset can be used to train models for Named Entity Recognition.
Dataset Source
https://github.com/uhh-lt/ethiopicmodels/blob/master/am/data/NER/train.txt
Finetuned Models
The following transformer models were finetuned using this dataset. The reported precision, recall, and f1 metrics are macro averages.
Model
Size (# params)
Precision
Recall
F1
bert-medium-amharic
40.5M
0.64
0.73
0.68… See the full description on the dataset page: https://huggingface.co/datasets/rasyosef/amharic-named-entity-recognition.named-entity-recognition
Sinhala Named Entity Recognition
Sinhala Named Entity Recognition is a token-level named entity recognition dataset for Sinhala.
This repository is a re-upload of the original Sinhala NER dataset introduced by Manamini et al. (2016) in "Ananya - a Named-Entity-Recognition (NER) System for Sinhala Language" with proper train/ test splits. The dataset was subsequently included as the Named Entity Recognition (NER) task in the SINHALA-GLUE benchmark introduced in "Sinhala… See the full description on the dataset page: https://huggingface.co/datasets/sinhala-nlp/named-entity-recognition.APIS_OEBL__Named_Entity_RecognitionJSON file of 6,941 sentences of historical biographies, annotated with "PER" (Person), "ORG" (Organisation), "LOC" (Location).
source
The original data was extracted from the Austrian Biographical Lexicon (ÖBL) in the context of the Austrian Prosopographical Information System (APIS) project.
From there, samples were randomly pulled and annotated for Named Entity Recognition tasks, which form this dataset.
The texts concern numerous smaller biographies in the time period between… See the full description on the dataset page: https://huggingface.co/datasets/SteffRhes/APIS_OEBL__Named_Entity_Recognition.