datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
task1510_evalution_relation_extraction
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1510_evalution_relation_extraction
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1510_evalution_relation_extraction.relation_extractionhttps://e3c.fbk.eu/clinkart#h.t2wonespwj5j
Publications
@inproceedings{evalita2023nermud,
title={{NERMuD} at {EVALITA} 2023: Overview of the Named-Entities Recognition on Multi-Domain Documents Task},
author={Palmero Aprosio, Alessio and Paccosi, Teresa},
booktitle={Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023)},
publisher = {CEUR.org},
year = {2023},
month =… See the full description on the dataset page: https://huggingface.co/datasets/evalitahf/relation_extraction.Text-Classification-and-Relation-Event-Extraction-Mix-datasetsThe paper of GIELLM dataset.
https://arxiv.org/abs/2311.06838
Cite:
@article{gan2023giellm,
title={Giellm: Japanese general information extraction large language model utilizing mutual reinforcement effect},
author={Gan, Chengguang and Zhang, Qinghao and Mori, Tatsunori},
journal={arXiv preprint arXiv:2311.06838},
year={2023}
}
The dataset constructed base in livedoor news corpus 関口宏司 https://www.rondhuit.com/download.html
English_Relation_Extraction_TaskSlovenian_Relation_ExtractionGreek_Relation_ExtractionSlovak_Relation_ExtractionPolish_Relation_Extractiondataset_relation_extraction_2
Dataset Card for "dataset_relation_extraction_2"
More Information needed
relation_extraction
Data points per relation :
Count
instance of
8461
occupation
3552
place of birth
1980
family name
1977
given name
1886
country
1731
country of citizenship
1677
has part(s)
1639
educated at
1457
shares border with
1329
sex or gender
1326
award received
1313
genre
1285
contains the administrative territorial entity
1094
child
1080
located in the administrative territorial entity
994
participant in
984
position held
966
spouse
956… See the full description on the dataset page: https://huggingface.co/datasets/ProfessorBob/relation_extraction.kmdb_relation_extraction
Dataset Card for "kmdb_relation_extraction"
More Information needed
relationextractionqa
Dataset Card for "relationextractionqa"
Split taken from the MRQA 2019 Shared Task, formatted and filtered for Question Answering. For the original dataset, have a look here.
Biomedical_Entity_Relation_ExtractionRelationExtraction-NLG-ThaiThis is translate dataset NLG for data extraction in english language to thai language.
2_1_relation_extraction_promptsbible_relation_extractionbible_relation_extraction_llamaRelation-Extraction