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Relation Extraction datasets
archive 2025-07-2882 datasets carry the task tag "Relation Extraction" (the task itself: Relation Extraction), ordered by the archive's paper count. Page 2 of 2: 34 shown of 82. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52
Relation Extraction datasets 49–82 of 82
a dataset from A Hierarchical Framework for Relation Extraction with Reinforcement Learning
4 papers · 1 benchmark
Persian dataset for relation extraction, which is an expert-translated version of the "Semeval-2010-Task-8" dataset.
4 papers · 0 benchmarks
TimeBankPT (Portuguese TimeBank)
TimeBankPT is a corpus of Portuguese text with annotations about time.
4 papers · 1 benchmark
The FB15k-237-low dataset is a variation of the FB15k-237 dataset where relations with a low number of triplets are kept.
3 papers · 0 benchmarks
FOBIE (Focused Open Biological Information Extraction)
The Focused Open Biology Information Extraction (FOBIE) dataset aims to support IE from Computer-Aided Biomimetics.
3 papers · 0 benchmarks
FREDo is a Few-Shot Document-Level Relation Extraction Benchmark based on DocRED and SciERC.
3 papers · 2 benchmarks
ROOR is a reading order prediction (ROP) benchmark which annotates layout reading order as ordering relations.
3 papers · 1 benchmark
Biographical (Biographical: A Semi-Supervised Relation Extraction Dataset)
Biographical is a semi-supervised dataset for RE.
2 papers · 0 benchmarks
CORE (Company Relation Extraction)
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
2 papers · 0 benchmarks
MobIE is a German-language dataset which is human-annotated with 20 coarse- and fine-grained entity types and entity linking information for geographically linkable entities.
2 papers · 0 benchmarks
MultiTACRED is a multilingual version of the large-scale TAC Relation Extraction Dataset.
2 papers · 0 benchmarks
NYT-H is a dataset for distantly-supervised relation extraction, in which DS-labelled training data is used and several annotators to label test data are hired.
2 papers · 0 benchmarks
A human-revised dataset for seven languages that allows for the evaluation of multilingual RE systems.
2 papers · 0 benchmarks
RuSentNE (RuSentNE-2023)
https://github.com/dialogue-evaluation/RuSentNE-evaluation
2 papers · 0 benchmarks
X-WikiRE is a new, large-scale multilingual relation extraction dataset in which relation extraction is framed as a problem of reading comprehension to allow for generalization to unseen relations.
2 papers · 0 benchmarks
Chinese Literature NER RE is a Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text.
1 paper · 0 benchmarks
This is the dataset used for classifying Gene-Disease relationship types from sentences.
1 paper · 1 benchmark
DiaKG is a high-quality Chinese dataset for Diabetes knowledge graph.
1 paper · 0 benchmarks
The FB1.5M dataset is a benchmark for Knowledge Graph Completion.
1 paper · 0 benchmarks
FinDKG: The Global Financial Dynamic Knowledge Graph Dataset FinDKG is an open-source dataset focused on creating a temporally-resolved Financial Dynamic Knowledge Graph.
1 paper · 0 benchmarks
KGRED (Knowledge-graph-enhanced relation extraction datasets--)
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
LPSC (Planetary Science Data Set)
This data set contains annotated text versions of 1635 two-page abstracts published at the Lunar and Planetary Science Conference from 1998 to 2020 of relevance to four Mars missions.
1 paper · 2 benchmarks
Medical Case Report Corpus is a new corpus comprising annotations of medical entities in case reports, originating from PubMed Central's open access library.
1 paper · 0 benchmarks
Multi-CrossRE is a broadest multi-lingual dataset for Relation Extraction (RE) including 26 languages in addition to English, and covering six text domains.
1 paper · 0 benchmarks
The Part-Whole Relations dataset is a dataset of semantic relations between entities.
1 paper · 0 benchmarks
The corpus contains review sentences mostly of products in electronics domain, annotated and segregated into 4 comparison categories.
1 paper · 1 benchmark
SOMD (SOftware Mention Detection)
The dataset contains the training and test data for the SOftware Mention Detection challenge.
1 paper · 0 benchmarks
THRED (Two-Hop Relation Extraction Dataset)
This is two-hop relation extraction dataset derived from WikiHop dataset [1].
1 paper · 0 benchmarks
Green family of datasets for emergent communications on relations.
1 paper · 0 benchmarks
533 parallel examples sampled from TACRED, translated into Russian and Korean (and 3 additional examples in Russian), accompanied with tranlsation of a list of trigger words collected for the different relations.
1 paper · 0 benchmarks
TurkQA consists of a selection of sentences from English Wikipedia articles, with questions and answers crowdsourced from workers on Amazon Mechanical Turk.
1 paper · 0 benchmarks
ARF (Artificial Relationships in Fiction)
Artificial Relationships in Fiction Dataset Description Artificial Relationships in Fiction (ARF) is a synthetically annotated dataset for Relation Extraction (RE) in fiction, created from a curated selection of literary texts sourced from…
0 papers · 0 benchmarks
POPCORN (POPCORN: Fictional and Synthetic Intelligence Reports for Named Entity Recognition and Relation Extraction Tasks)
POPCORN is a French dataset consisting of 400 validation texts and 400 training texts, all written and annotated manually.
0 papers · 0 benchmarks
TFH_Annotated_Dataset (Thin_Film_head_relevant_Patent_Annotated_Dataset)
Dataset Introduction TFHAnnotatedDataset is an annotated patent dataset pertaining to thin film head technology in hard-disk.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.