Date: 2022-07-10 Files: ner_dataset.csv Source: Kaggle entity annotated corpus notes: The dataset only contains the tokens and ner tag labels. Labels are uppercase.

  About Dataset

from Kaggle Datasets

  Context

Annotated Corpus for Named Entity Recognition using GMB(Groningen Meaning Bank) corpus for entity classification with enhanced and popular features by Natural Language Processing applied to the data set. Tip: Use Pandas Dataframe to load dataset if using Python for… See the full description on the dataset page: https://huggingface.co/datasets/rjac/kaggle-entity-annotated-corpus-ner-dataset.

Intro

Pile-NER-type is a set of GPT-generated data for named entity recognition using the type-based data construction prompt. It was collected by prompting gpt-3.5-turbo-0301 and augmented by negative sampling. Check our project page for more information.

  License

Attribution-NonCommercial 4.0 International

Dataset for the first Workshop on Information Extraction from Scientific Publications (WIESP/2022).

  Dataset Description

Datasets with text fragments from astrophysics papers, provided by the NASA Astrophysical Data System with manually tagged astronomical facilities and other entities of interest (e.g., celestial objects).Datasets are in JSON Lines format (each line is a json dictionary).The datasets are formatted similarly to the CONLL2003 format. Each token is… See the full description on the dataset page: https://huggingface.co/datasets/adsabs/WIESP2022-NER.

Dataset Card for Financial-NER-NLP Dataset Summary The Financial-NER-NLP Dataset is a derivative of the FiNER-139 dataset, which consists of 1.1 million sentences annotated with 139 XBRL tags. This new dataset transforms the original structured data into natural language prompts suitable for training language models. The dataset is designed to enhance models’ abilities in tasks such as named entity recognition (NER), summarization, and information extraction in the financial domain. The… See the full description on the dataset page: https://huggingface.co/datasets/Josephgflowers/Financial-NER-NLP.

KPWR-NER tagging dataset.

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition

This repository is supplement material for the paper: DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition

  💓Update!

DynamicNER is disclosed now! Please download it from Huggingface for train and evaluation!

We add more GEIC format existing datasets and also the format for fine-tuning and inferrence based on SWIFT! You can… See the full description on the dataset page: https://huggingface.co/datasets/CascadeNER/AnythingNER.

Dataset Card for NER PII Extraction Dataset Dataset Summary This dataset is designed for training and evaluating Named Entity Recognition (NER) models focused on extracting Personally Identifiable Information (PII) from text. It includes a variety of entities such as names, addresses, phone numbers, email addresses, and identification numbers. The dataset is suitable for tasks that involve PII detection, compliance checks, and data anonymization. Supported Tasks and Leaderboards Named Entity… See the full description on the dataset page: https://huggingface.co/datasets/Josephgflowers/PII-NER.

Dataset Card for aeroBERT-NER

  Dataset Summary

This dataset contains sentences from the aerospace requirements domain. The sentences are tagged for five NER categories (SYS, VAL, ORG, DATETIME, and RES) using the BIO tagging scheme. There are a total of 1432 sentences. The creation of this dataset is aimed at -
(1) Making available an open-source dataset for aerospace requirements which are often proprietary
(2) Fine-tuning language models for token identification… See the full description on the dataset page: https://huggingface.co/datasets/archanatikayatray/aeroBERT-NER.

Dataset Card for "Few-NERD"

dataset-description)

Dataset Summary Supported Tasks and Leaderboards Languages Dataset Structure Data Instances Data Fields Data Splits

Dataset Creation Curation Rationale Source Data Annotations Personal and Sensitive InformationConsiderations for Using the Data Social Impact of Dataset Discussion of Biases Other Known Limitations

Additional Information Dataset Curators Licensing Information Citation Information Contributions

  Dataset… See the full description on the dataset page: https://huggingface.co/datasets/DFKI-SLT/few-nerd.

This is the dataset repository for HiNER Dataset accepted to be published at LREC 2022. The dataset can help build sequence labelling models for the task Named Entity Recognitin for the Hindi language.

Dataset Card for BioLeaflets Dataset

  Dataset Summary

BioLeaflets is a biomedical dataset for Data2Text generation. It is a corpus of 1,336 package leaflets of medicines authorised in Europe, which were obtained by scraping the European Medicines Agency (EMA) website. Package leaflets are included in the packaging of medicinal products and contain information to help patients use the product safely and appropriately. This dataset comprises the large majority (∼ 90%) of… See the full description on the dataset page: https://huggingface.co/datasets/ruslan/bioleaflets-biomedical-ner.

Groceries Named Entity Recognition (NER) Dataset

A specialized dataset for identifying food and grocery items in natural language text using Named Entity Recognition (NER).

  Entity Types

The dataset includes the following grocery categories:

Fruits Vegetables: Fresh produce (e.g., apples, spinach) Lactose, Diary, Eggs, Cheese, Yoghurt: Dairy products and eggs Meat, Fish, Seafood: Protein sources Frozen, Prepared Meals: Ready-to-eat and frozen meals Baking, Cooking: Baking… See the full description on the dataset page: https://huggingface.co/datasets/empathyai/grocery-ner-dataset.

FiNER-139 is a named entity recognition dataset consisting of 10K annual and quarterly English reports (filings) of publicly traded companies downloaded from the U.S. Securities and Exchange Commission (SEC) annotated with 139 XBRL tags in the IOB2 format.

IT Skills Named Entity Recognition (NER) Dataset

  Description:

This dataset includes 5,029 curriculum vitae (CV) samples, each annotated with IT skills using Named Entity Recognition (NER). The skills are manually labeled and extracted from PDFs, and the data is provided in JSON format. This dataset is ideal for training and evaluating NER models, especially for extracting IT skills from CVs.

  Highlights:

5,029 CV samples with annotated IT skills Manual annotations for… See the full description on the dataset page: https://huggingface.co/datasets/Mehyaar/Annotated_NER_PDF_Resumes.

zsLin/RWCS-NER-DC dataset hosted on Hugging Face and contributed by the HF Datasets community

This the synthetic dataset used for training https://huggingface.co/urchade/gliner_multi_pii-v1. You can get it by browsing the files and dowloading the data.json file.

SeyedAli/Persian-Text-NER dataset hosted on Hugging Face and contributed by the HF Datasets community

CrossNER is a fully-labeled collected of named entity recognition (NER) data spanning over five diverse domains (Politics, Natural Science, Music, Literature, and Artificial Intelligence) with specialized entity categories for different domains. Additionally, CrossNER also includes unlabeled domain-related corpora for the corresponding five domains.

For details, see the paper: CrossNER: Evaluating Cross-Domain Named Entity Recognition

1rsh/product-ner dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for AnCora-Ca-NER

  Dataset Summary

This is a dataset for Named Entity Recognition (NER) in Catalan. It adapts AnCora corpus for Machine Learning and Language Model evaluation purposes. This dataset was developed by BSC TeMU as part of the Projecte AINA, to enrich the Catalan Language Understanding Benchmark (CLUB).

  Supported Tasks and Leaderboards

Named Entities Recognition, Language Model

  Languages

The dataset is in Catalan… See the full description on the dataset page: https://huggingface.co/datasets/projecte-aina/ancora-ca-ner.