datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
open-subtitles-bitext-miningopen-subtitles-256s-bitext-miningtatoeba-bitext-mining
Tatoeba
An MTEB dataset
Massive Text Embedding Benchmark
1,000 English-aligned sentence pairs for each language based on the Tatoeba corpus
Task category
t2t
Domains
Written
Reference
https://github.com/facebookresearch/LASER/tree/main/data/tatoeba/v1
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["Tatoeba"])
evaluator = mteb.MTEB(task)
model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/tatoeba-bitext-mining.bitext_sib200_minersAIME_1983_2024webfaq-bitextsWebFAQ Bilingual Datasets (Bitexts)
Overview |
Details |
Structure |
Examples |
Considerations |
License |
Citation |
Contact |
Acknowledgement
Overview
The WebFAQ Bilingual Datasets (a.k.a. Bitexts) are derived from the WebFAQ Q&A Dataset, but instead of monolingual question-answer (QA) pairs, each entry here contains aligned QA pairs in two different languages. These alignments are created via… See the full description on the dataset page: https://huggingface.co/datasets/PaDaS-Lab/webfaq-bitexts.open-subtitles-500-bitext-miningbucc-bitext-mining
BUCC.v2
An MTEB dataset
Massive Text Embedding Benchmark
BUCC bitext mining dataset
Task category
t2t
Domains
Written
Reference
https://comparable.limsi.fr/bucc2018/bucc2018-task.html
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["BUCC.v2"])
evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)
To learn more about how to run… See the full description on the dataset page: https://huggingface.co/datasets/mteb/bucc-bitext-mining.open-subtitles-250-bitext-miningtatoeba-bitext-miningbit-config
bit-config
Configuration shared by every Bit Trading Company Hugging Face Space.
File
What
nav.json
the App Sidebar: modules, launch status, destinations
Why this is a dataset and not code
The Spaces share their chrome through the
bit-ui package, pinned per
Space as a git submodule. Pinning is right for code — a bad change cannot break
every Space at once — but wrong for a link, because promoting a module from
coming soon to live would then mean a… See the full description on the dataset page: https://huggingface.co/datasets/Bit-Trading-Company/bit-config.bitcoin-wallet-recovery-faq
Bitcoin Wallet Recovery FAQ Dataset v1.0
A high-quality Question & Answer dataset focused exclusively on Bitcoin wallet recovery and self-custody best practices. It is designed for training, fine-tuning, and evaluating LLMs and retrieval-augmented generation (RAG) systems in the domain of bitcoin security, seed backup, device loss, and fund recovery.
Dataset Summary
Total records: 500
Language: English
Answer length: 150–300 words per record
Categories: 39… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/bitcoin-wallet-recovery-faq.PerceptionBench
PerceptionBench
PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models
Abstract
We introduce PerceptionBench, a benchmark specifically designed to evaluate the atomic visual perception capabilities of Multimodal Large Language Models (MLLMs). Existing benchmarks often fail to isolate perception: holistic evaluations conflate perceptual errors with failures in reasoning or domain knowledge, while application-driven benchmarks… See the full description on the dataset page: https://huggingface.co/datasets/Bithubs/PerceptionBench.prompt-injection-bit-signatures
Status: experimental. Experiment-specific slice. Primary public dataset: scbe-aethermoore-training-data.
Prompt Injection → Bit Signatures
24,254 labeled prompts from 4 public prompt-injection datasets, each mapped through the Six Sacred Tongues bijective tokenizer from the SCBE-AETHERMOORE framework into a lossless per-prompt bit signature.
Stratified 70/15/15 train/val/test split by (source, label) so every source is represented in every split with its original label… See the full description on the dataset page: https://huggingface.co/datasets/issdandavis/prompt-injection-bit-signatures.bitext_nusax_minersbitext_nusatranslation_minersBitext-customer-support-llm-chatbot-training-dataset-spanish
Spanish Customer Support LLM Chatbot Training Dataset
Spanish-language adaptation of the Bitext Customer Support LLM Chatbot Training Dataset.
This dataset is intended for training and evaluating Spanish-language customer-support chatbots and instruction-following large language models.
Dataset Details
Dataset Description
This dataset is a Spanish translation and adaptation of the original Bitext Customer Support LLM Chatbot Training Dataset.
The… See the full description on the dataset page: https://huggingface.co/datasets/Faramir/Bitext-customer-support-llm-chatbot-training-dataset-spanish.webfaq-v2-bitextsWebFAQ 2.0 Bilingual Datasets (Bitexts)
Overview |
What's New in v2.0 |
Details |
Construction Method |
Structure |
Examples |
Considerations |
License |
Citation |
Contact
Note:
Note that the SIGIR Resource submission reports 104 languages, however, after re-uploading the WebFAQ 2.0 dataset, it now includes 108 languages in total.
Furthermore note that for the Bilingual Datasets, we now include all those… See the full description on the dataset page: https://huggingface.co/datasets/PaDaS-Lab/webfaq-v2-bitexts.bitcoin_price_timeseries
⚠️ نسخهٔ جایگزین
این مجموعهداده با روششناسیِ فعلیِ فرمانا بهروز نمیشود.
→ Farmaanaa/global_bitcoin_price_daily
فایلهای قبلی برای آرشیو در دسترس میمانند.
— farmaanaa.ir
bitext_lincemt_minersbitcoin-security-reasoning-100k
Dataset Card for Bitcoin Security Reasoning 100K
100,000 high-quality synthetic training samples for fine-tuning LLMs on Bitcoin protocol security analysis. Teaches models to analyze vulnerability clusters, form security hypotheses, and generate differential testing code.
Dataset Details
Dataset Description
This dataset contains structured security reasoning chains for Bitcoin protocol vulnerabilities. Each sample presents a cluster of causal… See the full description on the dataset page: https://huggingface.co/datasets/davidfoss/bitcoin-security-reasoning-100k.BITS-data
BITS legacy processed data
This repository hosts the frozen processed dataset artifacts used by the
bits-legacy-v1 benchmark suite.
Artifact count: 19
Total size: 1,444,410,227 bytes
Format: PyTorch .pt
Integrity: exact byte sizes and SHA-256 digests are recorded in
release-manifests/processed-v1-manifest.json
Splits: files are not pre-split. BITS applies sample-v1 or time-v1 at
runtime according to the experiment configuration.
The files reproduce the data inputs used by the… See the full description on the dataset page: https://huggingface.co/datasets/ykj111/BITS-data.douvras-bitnet-ptbr-efficiency
Douvras BitNet PT-BR Efficiency Benchmark
Benchmark sintético de roteamento de workloads para avaliar posteriormente BitNet, Qwen,
SmolLM e Tucano em português brasileiro. Esta versão contém zero medições de GPU, RAM,
energia, latência ou qualidade; os registros carregam measured: false. O test está congelado
e as famílias não atravessam os splits.
O dataset não contém pesos de modelos, dados pessoais ou conteúdo de terceiros.
bitcoin-price-explosion-qa
Bitcoin Price Explosion QA
A long-form, multi-hop question answering dataset about Bitcoin's historic surge past $100,000 following the 2024 US presidential election.
Dataset Description
This dataset contains 20 expert-curated causal reasoning questions grounded in 20 news articles covering Bitcoin's price explosion in late 2024. Each question requires synthesizing information from multiple source documents to produce a comprehensive answer, making it a challenging… See the full description on the dataset page: https://huggingface.co/datasets/jashparekh/bitcoin-price-explosion-qa.Bitcoin_synthetic_data
🧠 Bitcoin Synthetic Dataset Collection (AI-generated)
A collection of synthetic Bitcoin transaction datasets enriched with generative AI explanations.
🛠️ Topics
Whale Transactions
OP_RETURN rare patterns
Each transaction includes:
Fee, size, rarity score
Semantic AI-generated description
💡 Use Cases
Training predictive models of Bitcoin activity
Network and anomaly simulation
Financial behavior studies
Temporal analysis and outlier detection
📜License: CC… See the full description on the dataset page: https://huggingface.co/datasets/syn-data/Bitcoin_synthetic_data.bitcoder-v2-eval
BitCoder-v2 Evaluation Dataset
Synthetic evaluation dataset accompanying the paper
"Routing Ceilings Are Domain-Independent: Structural Prior Injection
in Code Security Vulnerability Detection"
(arXiv:2607.14628).
Dataset Description
70 held-out evaluation pairs (140 records) across three vulnerability
categories, generated with DeepSeek-V4-Pro (temperature=0.8) via
Together AI.
Category
CWE
Type
Eval pairs
N+1 Query Pattern
--
Semantic
30… See the full description on the dataset page: https://huggingface.co/datasets/bytepro-ai/bitcoder-v2-eval.bitext_nollysenti_minersbits-py-dataset
bits-py canonical dataset
Revision label: v2026-03-30-r2
This is the first published Hugging Face dataset revision for the bits-py adapter project. It packages the canonical supervised fine-tuning corpus used to train a lightweight Python-specialist LoRA on top of deepseek-ai/DeepSeek-R1-Distill-Qwen-32B.
Project goal
Train a lightweight adapter that improves the base model on practical Python work, especially:
clean Pythonic code
data pipelines
pandas / numpy transforms… See the full description on the dataset page: https://huggingface.co/datasets/youmyron/bits-py-dataset.KIMI-K2.5-1000000x
KIMI-K2.5-1000000x
1,000,000 reasoning traces distilled from KIMI-K2.5 on high reasoning, (Each subset has different questions)
Distribution:
Coding: 50% (Includes: Webdev, Python, C++, Java, JS, C, Ruby, Lua, Rust, and C#)
Science: 20% (Physics, Chemistry, Biology) - 100k more completions in the PHD-Science subset
Math: 15% (Algebra, Calculus, Probability) - 200k more completions in kimiMath200k.jsonl
Computer Science: 5%
Logical Questions: 5%
Creative Writing: 5%… See the full description on the dataset page: https://huggingface.co/datasets/bitsydarel/KIMI-K2.5-1000000x.alpaca-bitcoin-sentiment-dataset