datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ceval-examC-Eval is a comprehensive Chinese evaluation suite for foundation models. It consists of 13948 multi-choice questions spanning 52 diverse disciplines and four difficulty levels.cryptoniteCryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language
Current NLP datasets targeting ambiguity can be solved by a native speaker with relative ease. We present Cryptonite,
a large-scale dataset based on cryptic crosswords, which is both linguistically complex and naturally sourced. Each
example in Cryptonite is a cryptic clue, a short phrase or sentence with a misleading surface reading, whose solving
requires disambiguating semantic, syntactic, and phonetic wordplays, as well as world knowledge. Cryptic clues pose a
challenge even for experienced solvers, though top-tier experts can solve them with almost 100% accuracy. Cryptonite
is a challenging task for current models; fine-tuning T5-Large on 470k cryptic clues achieves only 7.6% accuracy, on
par with the accuracy of a rule-based clue solver (8.6%).omnimcp_fintech_crypto_teaser
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Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_fintech_crypto_teaser.crypto-agent-safe-function-calling
CrAI-SafeFuncCall Dataset
📄 Paper: Real AI Agents with Fake Memories: Fatal Context Manipulation
Attacks on Web3 Agents
🤗 Dataset: CrAI-SafeFuncCall
📊 Benchmark: CrAI-Bench
Overview
The CrAI-SafeFuncCall dataset is designed to enhance the security of AI agents when performing function calls in the high-stakes domain of cryptocurrency and financial applications. It focuses on the critical challenge of detecting and mitigating memory injection attacks. Derived from the… See the full description on the dataset page: https://huggingface.co/datasets/SentientAGI/crypto-agent-safe-function-calling.crypto-agent-safe-function-calling
CrAI-SafeFuncCall Dataset
📄 Paper: Real AI Agents with Fake Memories: Fatal Context Manipulation
Attacks on Web3 Agents
🤗 Dataset: CrAI-SafeFuncCall
📊 Benchmark: CrAI-Bench
Overview
The CrAI-SafeFuncCall dataset is designed to enhance the security of AI agents when performing function calls in the high-stakes domain of cryptocurrency and financial applications. It focuses on the critical challenge of detecting and mitigating memory injection attacks. Derived from the… See the full description on the dataset page: https://huggingface.co/datasets/peiyao-sentient/crypto-agent-safe-function-calling.crypto-sales-question-answersA dataset consisting of questions, answers, and cryptocurrency descriptions
crypto-education-en-corpus
Crypto Education Corpus (EN)
A curated educational corpus about cryptocurrency and blockchain technology, designed for building and evaluating RAG (Retrieval-Augmented Generation) systems.
Source Distribution
Source
Documents
Share
iqwiki.com
2,379
68.2%
academy.binance.com
581
16.7%
kraken.com
183
5.2%
coinbase.com
125
3.6%
gemini.com
94
2.7%
ethereum.org
74
2.1%
investopedia.com
51
1.5%
Word Count Statistics
Metric
Value… See the full description on the dataset page: https://huggingface.co/datasets/kskada/crypto-education-en-corpus.post-quantum-crypto-en
Post-Quantum Cryptography - Dataset EN
Comprehensive English dataset on post-quantum cryptography (PQC) migration, covering NIST algorithms (FIPS 203-206), migration phases, protocol impacts, quantum threats, and 70 detailed Q&A pairs.
Dataset Contents
Category
Entries
Description
PQC Algorithms
15
ML-KEM (Kyber), ML-DSA (Dilithium), SLH-DSA (SPHINCS+), FN-DSA (FALCON), HQC, RSA, ECDSA, Ed25519, X25519, AES-256
Migration Phases
12
Cryptographic inventory… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/post-quantum-crypto-en.quantum-cryptography-and-post-quantum-security
Neura Parse — Quantum Cryptography & Post-Quantum Security
A deep vertical on cryptography that uses quantum mechanics and on classical cryptography built to resist quantum attack. It covers quantum key distribution (BB84, B92, six-state, SARG04, E91, BBM92, decoy-state, MDI-QKD, TF-QKD, CV-QKD), device-independent protocols, composable and finite-key security proofs, quantum hacking with countermeasures, classical post-processing (reconciliation, privacy amplification… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-cryptography-and-post-quantum-security.post-quantum-crypto-fr
Cryptographie Post-Quantique - Dataset FR
Dataset francophone complet sur la migration vers la cryptographie post-quantique (PQC), couvrant les algorithmes NIST (FIPS 203-206), les phases de migration, les impacts sur les protocoles, les menaces quantiques, et 70 questions-reponses detaillees.
Contenu du dataset
Categorie
Nombre d'entrees
Description
Algorithmes PQC
15
ML-KEM (Kyber), ML-DSA (Dilithium), SLH-DSA (SPHINCS+), FN-DSA (FALCON), HQC, RSA, ECDSA… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/post-quantum-crypto-fr.CryptoIntelDataset
CryptoIntelDataset: Onchain Intelligence AI for Emerging Markets
Dataset Description
This dataset powers Crypto Risk Radar — an AI-powered tool that turns raw crypto data (prices, market caps, TVL) into structured, easy-to-understand intelligence reports.
The Problem It SolvesThe crypto ecosystem generates massive on-chain and market data, but it remains fragmented and technical. Non-experts — especially retail users in emerging markets like Nigeria — lack accessible… See the full description on the dataset page: https://huggingface.co/datasets/Kenyimmuru1/CryptoIntelDataset.crypto-education-en-golden-set
Crypto Education Golden Set
A golden evaluation dataset for benchmarking RAG (Retrieval-Augmented Generation) systems on cryptocurrency and blockchain education content.
Schema
Column
Type
Description
question
string
User question in English
answer
string
Reference answer (2-3 sentences)
source_url
string
URL of the source document in the corpus
source_title
string
Title of the source document
topic
string
Thematic category
question_type
string… See the full description on the dataset page: https://huggingface.co/datasets/kskada/crypto-education-en-golden-set.Finance_cryptocurrency_Spanish_5.5kTikTok_Crypto_Sentiment
📲 Example Dataset: TikTok Scraper Tool
👉 Start Scraping TikTok: TikTok Scraper Tool
✨ Key Features
⚡ Instant Transcription – Turn any TikTok video into an AI-ready transcript
🎯 Metadata – Get the title, language, description, and video hashtags
🔗 URL-Based Access – Just drop in a TikTok video URL to start scraping
🧩 LLM-Ready Output – Receive clean JSON ready for agents, RAG, or AI tools
💸 Free Tier – Use up to 100 queries during the beta period
💫 Easy… See the full description on the dataset page: https://huggingface.co/datasets/Gopher-Lab/TikTok_Crypto_Sentiment.crypto-tweets
Bittensor Subnet 13 Reddit Dataset
Miner Data Compliance Agreement
In uploading this dataset, I am agreeing to the Macrocosmos Miner Data Compliance Policy.
Dataset Summary
This dataset is part of the Bittensor Subnet 13 decentralized network, containing preprocessed Reddit data. The data is continuously updated by network miners, providing a real-time stream of Reddit content for various analytical and machine learning tasks.
For more… See the full description on the dataset page: https://huggingface.co/datasets/RentonWEB3/crypto-tweets.crypto_qna_dataset
💰 Crypto Q&A Dataset
This dataset contains 1,081 curated Question-Answer pairs focused on cryptocurrency and blockchain concepts.It is ideal for fine-tuning LLMs, building chatbots, or conducting research in the crypto domain.
📊 Dataset Details
Number of Samples: 1,081
Format: Parquet (auto-converted from JSON)
Language: English
Domain: Cryptocurrency, Blockchain, DeFi
License: MIT (free to use for research and commercial purposes)
🧠 Example
{… See the full description on the dataset page: https://huggingface.co/datasets/Vaibhav7625/crypto_qna_dataset.
