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Named Entity Recognition (NER) datasets
archive 2025-07-28130 datasets carry the task tag "Named Entity Recognition (NER)" (the task itself: Named Entity Recognition (NER)), ordered by the archive's paper count. Page 3 of 3: 34 shown of 130. 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
Named Entity Recognition (NER) datasets 97–130 of 130
SemClinBr (A multi‑institutional and multi‑specialty semantically annotated corpus for Portuguese clinical NLP tasks)
Background: The high volume of research focusing on extracting patient information from electronic health records (EHRs) has led to an increase in the demand for annotated corpora, which are a precious resource for both the development and…
2 papers · 1 benchmark
2 papers · 1 benchmark
The pioNER corpus provides gold-standard and automatically generated named-entity datasets for the Armenian language.
2 papers · 0 benchmarks
Digital Edition: Essays from Hannah Arendt We have created a NER dataset from the digital edition "Sechs Essays" by Hannah Arendt.
1 paper · 0 benchmarks
The dataset contains a total of 253,070 records, with 18 features.
1 paper · 0 benchmarks
Business license datasets and source code for named entity recognition.
1 paper · 0 benchmarks
The CareerCoach 2022 gold standard is available for download in the NIF and JSON format, and draws upon documents from a corpus of over 99,000 education courses which have been retrieved from 488 different education providers.
1 paper · 0 benchmarks
The dataset contains two few-shot chemical fine-grained entity extraction datasets, based on human-annotated ChemNER+ and CHEMET.
1 paper · 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
DiaKG is a high-quality Chinese dataset for Diabetes knowledge graph.
1 paper · 0 benchmarks
Dataset Card for ESG/DLT Named Entity Recognition Dataset This dataset contains named entities related to Distributed Ledger Technology (DLT) and Environmental, Social, and Governance (ESG) topics created to support research in these areas…
1 paper · 0 benchmarks
Financial Language Understanding Evaluation is an open-source comprehensive suite of benchmarks for the financial domain.
1 paper · 0 benchmarks
First HAREM (Primeiro HAREM)
HAREM, an initiative by Linguateca, boasts a Golden Collection—a meticulously curated repository of annotated Portuguese texts.
1 paper · 0 benchmarks
GSAP-NER (GSAP-NER 1.0)
A scholarly named entity recognition dataset with focus on machine learning models and datasets.
1 paper · 0 benchmarks
HengamCopus is a Persian corpus with temporal tags (BIO standard tagging scheme).
1 paper · 1 benchmark
HiNER-collapsed (HiNER: A Large Hindi Named Entity Recognition Dataset)
This dataset releases a significantly sized standard-abiding Hindi NER dataset containing 109,146 sentences and 2,220,856 tokens, annotated with 3 collapsed tags (PER, LOC, ORG).
1 paper · 1 benchmark
HiNER-original (HiNER: A Large Hindi Named Entity Recognition Dataset)
This dataset releases a significantly sized standard-abiding Hindi NER dataset containing 109,146 sentences and 2,220,856 tokens, annotated with 11 tags.
1 paper · 1 benchmark
The dataset is taken from the First shared task on Information Extractor for Conversational Systems in Indian Languages (IECSIL) .
1 paper · 1 benchmark
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
MASC (Manually Annotated Sub-Corpus)
The Manually Annotated Sub-Corpus (MASC) consists of approximately 500,000 words of contemporary American English written and spoken data drawn from the Open American National Corpus (OANC).
1 paper · 0 benchmarks
MSNER (Multilingual Spoken Named Entity Recognition)
This dataset contains named entities annotations for European Parliament recordings in Dutch, French, German and Spanish.
1 paper · 0 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
The MiniHAREM, a reiteration of the 2005 evaluation, used the same methodology and platform.
1 paper · 0 benchmarks
ScienceExamCER is a collection of resources for studying explanation-centered inference, including explanation graphs for 1,680 questions, with 4,950 tablestore rows, and other analyses of the knowledge required to answer elementary and…
1 paper · 0 benchmarks
Digital Edition: Sturm Edition Source: Schrade, Torsten: „Startseite“, in: DER STURM.
1 paper · 0 benchmarks
SumeCzech-NER contains named entity annotations of SumeCzech 1.0, a Czech news-based summarization dataset.
1 paper · 0 benchmarks
TASTEset Recipe Dataset and Food Entities Recognition is a dataset for Named Entity Recognition (NER) which consists of 700 recipes with more than 13,000 entities to extract.
1 paper · 0 benchmarks
Twitter Cyberthreat Detection Dataset is a dataset that contains tweets from two sets of accounts related to cybersecurity.
1 paper · 0 benchmarks
UNER v1 (Universal NER v1)
UNER v1 adds an NER annotation layer to 18 datasets (primarily treebanks from UD) and covers 12 geneologically and ty- pologically diverse languages: Cebuano, Danish, German, English, Croatian, Portuguese, Russian, Slovak, Serbian,…
1 paper · 31 benchmarks
Spoken Named Entity Recognition (NER) aims to extracting named entities from speech and categorizing them into types like person, location, organization, etc.
1 paper · 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
This dataset was taken from the SIGARRA information system at the University of Porto (UP).
0 papers · 0 benchmarks
Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources The STEM ECR v1.0 dataset has been developed to provide a benchmark for the evaluation of scientific entity…
0 papers · 0 benchmarks
Second HAREM (Segundo HAREM)
The Second HAREM was an evaluation exercise in Portuguese Named Entity Recognition.
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.