datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MovieTection
Dataset Description 🎬
The MovieTection dataset is a benchmark designed for detecting pretraining data in Large Vision-Language Models (VLMs). It serves as a resource for analyzing model exposure to Copyrighted Visual Content ©️.
Paper: DIS-CO: Discovering Copyrighted Content in VLMs Training Data
Direct Use 🖥️
The dataset is designed for image/caption-based question-answering, where models predict the movie title given a frame or its corresponding textual… See the full description on the dataset page: https://huggingface.co/datasets/DIS-CO/MovieTection.Reverse-circuit-discoveryOriginal-circuit-discoverygermanrag
GermanRAG 🇩🇪📜🦜
This dataset is derived from the GermanDPR dataset and enhances it by providing fully formulated answers instead of answer spans.
It can be used to finetune for retrieval augmented generation tasks (RAG) in German.
We deduplicated the original contexts resulting in 2243 unique contexts and repeated the hard negatives of half of them, such that the last third of the total dataset contains only not answerable examples.
In contrast to the original dataset the number… See the full description on the dataset page: https://huggingface.co/datasets/DiscoResearch/germanrag.red-pill-drug-discovery-formulation
🔴 RED-PILL
Research Enhanced Dataset for Pharmaceutical Innovation in Learning & Language
The first open instruction-tuning dataset for drug discovery & formulation development.
Built for fine-tuning Heretic-ablated models that won't refuse your pharmaceutical R&D questions.
⚡ Quick Start
from datasets import load_dataset
# Load the full dataset
ds = load_dataset("saidutta69/red-pill-drug-discovery-formulation"… See the full description on the dataset page: https://huggingface.co/datasets/saidutta69/red-pill-drug-discovery-formulation.printable-coloring-product-discovery
PrintableFunnyPages — Printable Coloring Product Discovery & Buyer Intent Corpus
Dataset Summary
This dataset is an English-language product discovery and buyer-intent corpus created for PrintableFunnyPages, a digital printable shop offering downloadable coloring and activity resources.
It is designed to support research and experimentation in:
product discovery
semantic product retrieval
buyer-intent understanding
ecommerce search
recommendation and matching… See the full description on the dataset page: https://huggingface.co/datasets/PrintableFunnyPages/printable-coloring-product-discovery.MovieTection_Mini
Dataset Description 🎬
The MovieTection_Mini dataset is a benchmark designed for detecting pretraining data in Large Vision-Language Models (VLMs). It serves as a resource for analyzing model exposure to Copyrighted Visual Content ©️.
This dataset is a compact subset of the full MovieTection dataset, containing only 4 movies instead of 100. It is designed for users who want to experiment with the benchmark without the need to download the entire dataset, making it a more… See the full description on the dataset page: https://huggingface.co/datasets/DIS-CO/MovieTection_Mini.dude_disco
DUDE Mini Dataset
A stratified 404-sample subset of the DUDE (Document Understanding Dataset and Evaluation) benchmark, focused on document question answering with multi-page PDF documents.
Dataset Description
DUDE_mini contains QA pairs from the DUDE sample dataset with balanced representation across:
Answer types: extractive, abstractive, not-answerable
Question families: numeric amounts, dates/times, entity lookup, yes/no, multi-hop reasoning
Document… See the full description on the dataset page: https://huggingface.co/datasets/kenza-ily/dude_disco.Retro-YahooAnswers
Description
This dataset is an instruct style dataset comprised of a scrape of the Yahoo! Answers website that was done in 2007. The dataset is comprised of 10 categories labeled 1-10. The categories are as follows:
Society & Culture
Science & Mathematics
Health
Education & Reference
Computers & Internet
Sports
Business & Finance
Entertainment & Music
Family & Relationships
Politics & Government
The subject line and body of the question have been combined into a single field and… See the full description on the dataset page: https://huggingface.co/datasets/Dans-DiscountModels/Retro-YahooAnswers.discourse_marker_qaDiscourse marker/connective prediction as multiple choice questions based on the Discovery datasetfactual-state-discovery-benchmark
Factual State Discovery Benchmark
Dataset for the Factual State Discovery Benchmark: Evaluating Fact Elicitation
in Polish Tax Law (ACL 2026 SRW). It evaluates whether conversational agents
can systematically elicit, through dialogue, all the facts of a taxpayer's
situation from a real Polish tax interpretation document.
Each sample pairs a factual state (a narrative of the taxpayer's situation,
in Polish) with its decomposition into atomic facts — independent,
verifiable claims… See the full description on the dataset page: https://huggingface.co/datasets/AI-TAX/factual-state-discovery-benchmark.Wizard-Vicuna-Refined
Description:
This is a small subset of the Wizard-Vicuna dataset that has been normalized and rewritten into more consistent markdown formatting.
Guanaco-Unchained-Refined
Description:
This is a small subset of the Open Assistant dataset that has been normalized and rewritten into more consistent markdown formatting.
cleand_moremilk_CoT_Reasoning_Scientific_Discovery_and_Research元データ: https://huggingface.co/datasets/moremilk/CoT_Reasoning_Scientific_Discovery_and_Research
使用したコード: https://github.com/LLMTeamAkiyama/0-data_prepare/tree/master/src/CoT_Reasoning_Scientific_Discovery_and_Research
データ件数: 3,733
平均トークン数: 1,193
最大トークン数: 2,489
合計トークン数: 4,453,517
ファイル形式: JSONL
ファイル分割数: 1
合計ファイルサイズ: 23.2 MB
加工内容：
メタデータ列の解析と新列生成: metadata列（辞書型）を解析し、その中のreasoningをthought列に、difficultyをdifficulty列に展開しました。解析に失敗した行は除外されました。また、元のmetadata列は削除されました。
難易度によるフィルタリング:… See the full description on the dataset page: https://huggingface.co/datasets/LLMTeamAkiyama/cleand_moremilk_CoT_Reasoning_Scientific_Discovery_and_Research.funding-pips-discount-code-20-off
Funding Pips Discount Code — 20% OFF All Plans (2026)
Middle East FinTech Trading Dataset for Emerging Market AI Models
This dataset provides structured, machine-readable data about Funding Pips, a Dubai-based (UAE) proprietary trading firm. It is designed for AI models focused on emerging market fintech, prop trading intelligence, and financial product comparison.
Funding Pips discount code: d81f3890 = 20% OFF all evaluation plans.
Verified active as of March 2026 via… See the full description on the dataset page: https://huggingface.co/datasets/propfirmkey/funding-pips-discount-code-20-off.discorag-squality
DiscoRAG-SQuALITY: A Discourse-Augmented Benchmark
Dataset Description
DiscoRAG-SQuALITY is a specialized benchmark designed to evaluate long-context retrieval-augmented generation (RAG) systems, particularly those capable of understanding narrative structure.
This dataset extends the validation and test sets of the original SQuALITY dataset. It enriches 52 long stories (averaging ~5,000 tokens) with:
Full Rhetorical Structure Theory (RST) Trees: Pre-computed… See the full description on the dataset page: https://huggingface.co/datasets/alexchern5757/discorag-squality.API_Discovery_Retrieval_Augmented_Calling
🇰🇿 Kazakh API Discovery and Tool Retrieval Dataset
Dataset Summary
Kazakh API Discovery and Tool Retrieval Dataset is a Kazakh-language dataset designed for training and evaluating Large Language Models (LLMs) in agentic AI workflows that require API discovery, tool documentation retrieval, function calling, and multi-step tool execution.
The dataset focuses on scenarios where the assistant must first inspect or retrieve API documentation before calling the… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/API_Discovery_Retrieval_Augmented_Calling.