datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
en-document-classification
English Document Classification Dataset
This dataset provides a curated subset of the first 1 million rows from the allenai/c4 (English configuration), enriched with multi-perspective topic annotations. It is designed for researchers exploring document classification, domain adaptation, and label noise in massive web-crawled corpora.
Dataset Summary
The dataset integrates predictions from classification models to provide a holistic view of each document’s content.… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/en-document-classification.multi-domain-document-classification
multi_domain_document_classification
Multi-domain document classification datasets.
Biomedical: chemprot, rct-sample
Computer Science: citation_intent, sciie
Customer Review: amcd, yelp_review
Social Media: tweet_eval_irony, tweet_eval_hate, tweet_eval_emotion
The yelp_review dataset is randomly downsampled to 2000/2000/8000 for test/validation/train.
chemprot
citation_intent
hyperpartisan_news
rct_sample
sciie
amcd
yelp_review
tweet_eval_irony
tweet_eval_hate… See the full description on the dataset page: https://huggingface.co/datasets/asahi417/multi-domain-document-classification.en-document-topic-classification
English Document Topic Classification Dataset
English-language web pages classified by document topic, designed to train robust text classifiers and provide ready-to-use data for specific web topics.
Purpose: Train generalized document classifiers or extract clean, single-topic corpora for specific downstream tasks.
Configurations: Each document topic is available in its own dedicated dataset configuration (e.g., HomeGardening, GamesRecreation).
Splits: The All configuration… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/en-document-topic-classification.en-document-format-classification
English Document Format Classification Dataset
English-language web pages classified by document type, designed to train robust text classifiers and provide ready-to-use data for specific web formats.
Purpose: Train generalized document classifiers or extract clean, single-format corpora for specific downstream tasks.
Configurations: Each document type is available in its own dedicated dataset configuration (e.g., TutorialHow-ToGuide, PersonalAboutPage).
Splits: The All… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/en-document-format-classification.document-classification-benchmark
Document Classification Benchmark (open-vocab, zero-shot)
Given a document image and an arbitrary set of text labels, which one is right? A held-out, zero-shot,
open-vocabulary evaluation for document-type classification — labels are supplied at inference, not baked
into a head. Test split only; not for training. Every image is drawn from a permissively-licensed,
redistributable source.
Powers the
document-classification-leaderboard
and evaluates document-classification-v2… See the full description on the dataset page: https://huggingface.co/datasets/nutrientdocs/document-classification-benchmark.rvl-cdip-document-classification
rvl-cdip-document-classification
This dataset is created from original aharley/rvl_cdip dataset using this notebook
Dataset Summary
This dataset consists of 8992 grayscale images in 16 classes, with 562 images per class.
There are 8000 training images(500 image per class) and 992 test images(62 images per class).
The images are sized so their largest dimension does not exceed 1000 pixels.
multilingual-document-classification
Multilingual Document Classification Dataset
This dataset contains 100,000 text passages across 100 non-English language-script pairs sourced from the agentlans/HuggingFaceFW-finetranslations-100-languages-sample collection.
Each original text passage is paired with its English translation and has been programmatically annotated with domain, writing genre, and educational classifications to facilitate cross-lingual classification and domain adaptation tasks.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/multilingual-document-classification.Document_Classificationflan_combined_task420_persent_document_sentiment_classificationdocument_classification_reu_ml_school_hwdocument_classification_dataset_v1LOS_Document_classification_ETI
LOS Document Classification (ETI)
Norwegian public-sector documents labelled with their top-level LOS category
(Felles vokabular / common vocabulary, level 1). Built to train a small,
self-hostable text classifier by distilling LLM-generated labels.
Splits
split
rows
labels
use
train
~1982
silver — LLM-generated (Claude Haiku 4.5, few-shot)
training
test
551
human gold — manually annotated
honest evaluation
The train labels are weak supervision… See the full description on the dataset page: https://huggingface.co/datasets/NorskHelsenett/LOS_Document_classification_ETI.document_classification_level1_finetune
Dataset Card for "document_classification_level1_fintune"
More Information needed
indonesian-tax-document-classification
Indonesian Tax Document Classification Dataset
Dataset Description
Dataset ini berisi koleksi sintetis dokumen pajak Indonesia yang digunakan untuk klasifikasi jenis dokumen pajak. Dataset dirancang untuk mendukung penelitian NLP berbahasa Indonesia di bidang administrasi pajak dan pemerintahan daerah.
Dataset ini dibuat berdasarkan pengalaman dan pengetahuan dari sistem administrasi pajak daerah (Bapenda), dengan struktur yang mencerminkan dokumen-dokumen nyata… See the full description on the dataset page: https://huggingface.co/datasets/Hadisawara/indonesian-tax-document-classification.