datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Crypto-Accounting-Bench
Crypto Accounting Bench
Crypto Accounting Bench (CAB) asks a narrow question with a checkable answer: given one
crypto-asset transaction and the evidence that surrounded it, can a model reconstruct
the complete journal entry the organization actually posted?
The target is the entry that exists in that organization's ledger, chosen from that
organization's own chart of accounts, rather than the entry a textbook would prescribe.
The same on-chain movement is booked differently by… See the full description on the dataset page: https://huggingface.co/datasets/Entendre/Crypto-Accounting-Bench.fineweb-edu
📚 FineWeb-Edu
1.3 trillion tokens of the finest educational data the 🌐 web has to offer
Paper: https://arxiv.org/abs/2406.17557
What is it?
📚 FineWeb-Edu dataset consists of 1.3T tokens and 5.4T tokens (FineWeb-Edu-score-2) of educational web pages filtered from 🍷 FineWeb dataset. This is the 1.3 trillion version.
To enhance FineWeb's quality, we developed an educational quality classifier using annotations generated by LLama3-70B-Instruct. We then… See the full description on the dataset page: https://huggingface.co/datasets/Lazyup-crypto/fineweb-edu.crypto-news-coindesk-2020-2025
CoinDesk Cryptocurrency News Dataset (2020–2025)
This dataset contains cryptocurrency-related news articles sourced from CoinDesk Data, accessed programmatically via the CryptoCompare API. The dataset is curated and published for academic and research purposes, with a focus on analyzing the relationship between news and cryptocurrency market dynamics.
Time Period
January 1, 2020 – January 1, 2025
Content Overview
Each record in the dataset… See the full description on the dataset page: https://huggingface.co/datasets/maryamfakhari/crypto-news-coindesk-2020-2025.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-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.easfus-crypto-agent-dataset
zetryn/easfus-crypto-agent-dataset
Training dataset for zetryn/easfus-x-7b — a lightweight crypto AI agent.
Dataset Summary
2000 agent-style conversations in ShareGPT format, covering three crypto domains:
Type
Samples
Description
Technical Analysis
~660
OHLCV analysis, indicators, trade recommendation
Memecoin Scan
~670
Rug detection, safety scoring, entry decision
Portfolio
~670
Wallet analysis, rebalancing recommendation
Format… See the full description on the dataset page: https://huggingface.co/datasets/zetryn/easfus-crypto-agent-dataset.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.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.fiat-crypto-eval
fiat-crypto Proof-Engineering Eval
Proof-synthesis challenges mined from the git history of
mit-plv/fiat-crypto, the Coq framework
that synthesises correct-by-construction field-arithmetic code for elliptic
curves — the verified crypto primitives behind Curve25519 and friends, shipped in
production (BoringSSL, Signal). Each challenge is a real proof-engineering edit a
human made in a single commit: the repository state before the commit is the
challenge, the state after is the… See the full description on the dataset page: https://huggingface.co/datasets/for-all-dev/fiat-crypto-eval.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.vazhi-tamil-sft-v7_0
VAZHI Tamil SFT v7.0 — Optimized for Gemma 3 1B-it
SFT dataset for fine-tuning Gemma 3 1B-it as VAZHI, a Tamil AI assistant grounded in Tamil spiritual culture.
Dataset Details
Total: 4,172 samples (3,754 train + 418 eval)
Format: Raw instruction/output JSON (Gemma chat template applied at training time)
Avg answer length: 47 words (mobile-appropriate)
Target model: google/gemma-3-1b-it
Token Distribution
Bucket
%Tokens
Count
Purpose
Vazhi packs… See the full description on the dataset page: https://huggingface.co/datasets/CryptoYogi/vazhi-tamil-sft-v7_0.Cryptol
Cryptol
Cryptol declarations, each row carrying the statement and, where present, the proof.
Source
Repository: https://github.com/GaloisInc/cryptol
Commit: a50cac6eb2c30a79503814f423f375f9476aaceb
Files: 72
License: other
Schema
Column
Type
Description
statement
string
Declaration signature/claim with the leading keyword removed (verbatim slice); the full declaration minus its proof
proof
string
Verbatim proof/body, empty if the… See the full description on the dataset page: https://huggingface.co/datasets/phanerozoic/Cryptol.TikTok_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.cryptocurrency_audit_trails
Cryptocurrency_Audit_Trails (Synthetic B2B Dataset Preview)
Add me on Discord: xomohappy for access support, delivery questions, or product questions about this premade commercial dataset.
This is a premium, privacy-compliant, industry-safe synthetic dataset simulating Crypto Wallet Transaction & Compliance Logs for B2B applications.
About this Dataset
This dataset is generated programmatically using large language models combined with a strict data curation and… See the full description on the dataset page: https://huggingface.co/datasets/HaseebDev/cryptocurrency_audit_trails.sentiance-traces
Sentiance traces
Self-labeled deliberation traces exported from the
Sentiance cognitive architecture — the
data used to train the fused mind
(sentiance-film).
Each line is one moment of the cognitive cycle: what the mind was aware of, the
prompt its inner voice saw, the thought it produced, and the numeric state
vector m_t (valence, arousal, emotion, drives, and per-faculty signals) for
that moment.
Format (JSONL)
One JSON object per line:
field
meaning… See the full description on the dataset page: https://huggingface.co/datasets/CryptoGod97/sentiance-traces.crypto-facts-mini
Crypto Facts Mini Dataset
Dataset ringan berisi fakta-fakta pendek seputar blockchain, cryptocurrency, dan konsep Web3. Cocok untuk:
Training chatbot crypto
Knowledge-base untuk asisten Web3
Fine-tuning model edukasi crypto
Format Data
File utama: data.json (JSON array)
Setiap item memiliki struktur:
{
"id": "fact001",
"fact": "..."
}
CryptoExec-Bench
CryptoExec-Bench
The first benchmark for evaluating AI models on autonomous crypto execution tasks.
Most benchmarks test whether a model can answer questions. CryptoExec-Bench tests whether a model can execute operations — calling the right tools with the right arguments to manage a crypto portfolio.
What It Tests
Category
Examples
What's Measured
Tool Selection
290
Does it call the correct tool with correct arguments?
Multi-Step Flows
50
Can it chain:… See the full description on the dataset page: https://huggingface.co/datasets/crymadxAI/CryptoExec-Bench.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.crypto_whitepaper_public
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/mirko5301/crypto_whitepaper_public.crypto-datavazhi-tamil-sft-v5_0
VAZHI Tamil SFT Dataset v5.0
Tamil-first SFT dataset for the VAZHI project - a free, offline Tamil AI assistant.
Dataset Stats
Split
Samples
Train
5,328
Eval
593
Total
5,921
Bucket Distribution
Source
Count
%
vazhi_packs
2,961
50.0%
safety
1,800
30.4%
sadhguru_qa
848
14.3%
thirukkural
168
2.8%
handcrafted
120
2.0%
general
24
0.4%
Key Improvements over v4.1
100% Tamil responses (v4.1 had 75.8% garbage… See the full description on the dataset page: https://huggingface.co/datasets/CryptoYogi/vazhi-tamil-sft-v5_0.
