datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
HIW-500
HIW-500: Humanoids In-the-Wild Dataset
https://bitrobot-foundation.github.io/humanoids-in-the-wild-500-hours/
HIW-500: Humanoids In-the-Wild Dataset is a large-scale dataset for whole-body humanoid robot learning in natural home environments. It captures human teleoperation demonstrations on Unitree G1 across real homes in Southeast Asia, where layouts, object states, lighting, clutter, and operator styles vary from episode to episode.
The dataset is designed for research on… See the full description on the dataset page: https://huggingface.co/datasets/BitRobot/HIW-500.bite-baseline
bite-baseline — artifacts for extreme (ternary) quantization of Qwen3.6-35B-A3B
Companion dataset for ihavespoons/bite — an open
pipeline for compressing a Mixture-of-Experts LLM (Qwen/Qwen3.6-35B-A3B, 35B total / ~3B
active, 256 experts) toward ternary {-1,0,+1} weights (1.71 bpw) via PTQ init +
quantization-aware distillation. See the repo's docs/report-extreme-quant-moe.md for the
full technical report.
Contents
Path
What it is
baseline.json… See the full description on the dataset page: https://huggingface.co/datasets/ihavespoons/bite-baseline.HIW-500-LeRobotThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"observation.images.head": {
"dtype": "video",
"shape": [
480,
1280,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height":… See the full description on the dataset page: https://huggingface.co/datasets/BitRobot/HIW-500-LeRobot.Bitext-customer-support-llm-chatbot-training-dataset
Bitext - Customer Service Tagged Training Dataset for LLM-based Virtual Assistants
Overview
This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the Customer Support sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset.tool_callingffhq-256MS-COCObitcoin-mempool-lifecycle
Bitcoin and Litecoin mempool lifecycle
Transaction observations covering first sight, time spent pending, confirmation and disappearance from monitored mempools. The repository also contains comparisons between Bitcoin provider views and a measure of how much of each block was visible before it arrived.
Contents
Table
Record
bitcoin_transaction_lifecycle
A Bitcoin transaction's observed lifecycle, fee information and outcome
bitcoin_mempool_comparison… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-mempool-lifecycle.open-subtitles-bitext-miningFrodoBots-Mini-4K
FrodoBots-Mini-4K
~4,000 hours of real-world teleoperation data from Earth Rover Mini / Mini+ sidewalk robots,
driven by a global operator network across 29 countries. Each ride bundles synchronized camera video
(front, and rear when available), two-way audio, and time-aligned GPS, IMU, and
drive/control (DRV) streams.
Third public FrodoBots dataset, after
BitRobot/FrodoBots-2K and
BitRobot/Berkeley-FrodoBots-7K.
Like the 2K release it ships raw, unannotated per-ride folders —… See the full description on the dataset page: https://huggingface.co/datasets/BitRobot/FrodoBots-Mini-4K.bitcoin-fee-estimator-accuracy
Bitcoin fee estimator comparisons
Timestamped Bitcoin fee recommendations from public providers, paired with fee-rate percentiles from sampled transactions that were mined. The panel supports comparisons of provider recommendations across confirmation targets and network conditions.
Contents
Table
Record
bitcoin_fee_recommendations
A provider's fee recommendation at one observation time and confirmation target
bitcoin_fee_percentile_comparisons
A… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-fee-estimator-accuracy.open-subtitles-256s-bitext-miningRoboCap-IKEA-500
RoboCap-IKEA-500
494 episodes of humans assembling IKEA furniture, captured with RoboCap (a head-worn
stereo rig) and a pair of RoboWrist wrist cameras. Every episode carries 8 synchronized 1080p30
video streams — three stereo pairs from the head plus one downward view per wrist — alongside
200 Hz IMU and 100 Hz magnetometer from all three devices, and a machine-readable time-sync
validation report.
Furniture assembly is a long-horizon, contact-rich manipulation problem: it… See the full description on the dataset page: https://huggingface.co/datasets/BitRobot/RoboCap-IKEA-500.uq-hiddenstates
uq-hiddenstates — residual-stream states of reasoning traces at a fixed depth
Every token position of a reasoning trace, recorded at relative model depth 0.75, with
correctness labels. Built for studying whether uncertainty is legible in the residual
stream while the model reasons, rather than only at the answer.
Layout
Per model and dataset:
{model}_{ds}_L{idx}.part{k}.npy — fp16 [rows, hidden], traces concatenated, raw
states, not normalized. Sharded at ~20 GB… See the full description on the dataset page: https://huggingface.co/datasets/loose-bits/uq-hiddenstates.tatoeba-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.bitcoin-mining-pool-templates
Bitcoin mining pool templates
Timestamped Stratum job messages collected directly from Bitcoin mining pool endpoints. The data records changes in the work each endpoint sends to miners, including the previous block hash, coinbase data and clean-jobs flag.
Contents
Table
Record
bitcoin_mining_pool_jobs
A job received from a pool endpoint, with its observation time, nTime, coinbase, merkle branch count and clean-jobs flag
Using the data… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-mining-pool-templates.bitaudit_verification_dataset_v2bitcoin-network-propagation
Bitcoin network propagation
Timestamped block and transaction announcements received from connected Bitcoin peers, with peer metadata and advertised relay-fee floors. These observations support analysis of announcement timing and differences between connected peers.
Contents
Table
Record
bitcoin_block_announcements
A peer's announcement of a block, timestamped on receipt
bitcoin_transaction_announcements
A retained transaction announcement from a peer… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-network-propagation.FaceForensicsC23FaceForensics++ Dataset Overview
The dataset (downloaded using the original scripts) contains 7,010 files in total:
7,000 MP4 videos — 6,000 deepfakes and 1,000 real videos
Folder Structure:
DeepFakeDetection – 1,000 deepfake videos
Deepfakes – 1,000 deepfake videos
Face2Face – 1,000 deepfake videos
FaceShifter – 1,000 deepfake videos
FaceSwap – 1,000 deepfake videos
NeuralTextures – 1,000 deepfake videos
Real – 1,000 real videos
bitcoin-cash-network-propagation
Bitcoin Cash network propagation
Timestamped block and transaction announcements received from connected Bitcoin Cash peers, with peer metadata and advertised relay-fee floors. These observations support analysis of announcement timing and differences between connected peers.
Contents
Table
Record
bitcoin_cash_block_announcements
A peer's announcement of a block, timestamped on receipt
bitcoin_cash_transaction_announcements
A retained transaction… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/bitcoin-cash-network-propagation.2026-humanoid-ikea-assembly-challenge
2026-humanoid-ikea-assembly-challenge
https://humanoid-ikea-assembly-challenge.github.io/
Hardware References
Unitree Dex1-1
Head Stereo Camera (HBVCAM-4M2214HD-2 V11)
Wrist Stereo Camera (RealSense-D405)
Data Format
This repository contains the raw dataset in ROS bag / MCAP format.
The data can be viewed using tools such as Foxglove Studio and Rerun.
Available data streams include:
Head stereo camera streams (RGB)
Wrist stereo camera streams… See the full description on the dataset page: https://huggingface.co/datasets/BitRobot/2026-humanoid-ikea-assembly-challenge.open-images-v7-subsetBitext-retail-ecommerce-llm-chatbot-training-dataset
Bitext - Retail (eCommerce) Tagged Training Dataset for LLM-based Virtual Assistants
Overview
This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Retail (eCommerce)] sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-retail-ecommerce-llm-chatbot-training-dataset.bit-signal-store
Bit Signal Store
A shared, append-only cache of raw time-series model outputs and OHLCV
prices, used by the Backtest Lab
Space.
The one rule
This store holds raw model outputs and prices. It never holds trade
decisions. No entries, no exits, no position sizes, no P&L. Trading rules,
costs, slippage and sizing are applied live, per request, by the Backtest
Lab's engine. That separation is what lets many different strategies be
compared against the same model… See the full description on the dataset page: https://huggingface.co/datasets/The-Bit-Trading-Company/bit-signal-store.RoboCap-Origami-500
RoboCap-Origami-500
512 episodes of human bimanual origami folding, captured with RoboCap (a head-worn
stereo rig) and a pair of RoboWrist wrist cameras. Every episode carries 8 synchronized 1080p30
video streams — three stereo pairs from the head plus one downward view per wrist — alongside
200 Hz IMU and 100 Hz magnetometer from all three devices, and a machine-readable time-sync
validation report.
Origami is a deliberately hard target for manipulation research: the object is… See the full description on the dataset page: https://huggingface.co/datasets/BitRobot/RoboCap-Origami-500.UniTS-Datasets-ckpt
UniTS_TS-S12&TS-S12CR
[Paper 📰] [Project Page ✨]
We construct two high-quality multimodal time-series datasets, namely TS-S12 and TS-S12CR. Among them, TS-S12 and TS-S12CR contain Sentinel-1 with 2 channels (VV and VH) and Sentinel-2 imagery with 10 spectral bands (excluding B1 Aerosols, B9 Water Vapor, and B10 Cirrus) from 14,973 and 12,126 ROIs around the world, respectively.
TS-S12 provides aligned sample pairs of Sentinel-1, cloud-free Sentinel-2 and all annual cloud… See the full description on the dataset page: https://huggingface.co/datasets/YuxiangZhang-BIT/UniTS-Datasets-ckpt.CryptoLM-Bitcoin-BTC-USDT
BTC Price Dataset with Technical Indicators
Welcome to the BTC / USDT Price Dataset with Technical Indicators, hosted by the WinkingFace Team. This dataset is designed to provide comprehensive historical data on Bitcoin prices along with a variety of technical indicators to aid in cryptocurrency trading analysis and research. The dataset is updated every 3 minutes (delayed 1 minute).
Dataset Description
This dataset includes the following columns:
timestamp: The date and… See the full description on the dataset page: https://huggingface.co/datasets/WinkingFace/CryptoLM-Bitcoin-BTC-USDT.mteb-bitext-mining-aggregated
MTEB BitextMining Aggregated Dataset (Full)
This dataset aggregates ALL configs from 10 BitextMining datasets in the MTEB (Massive Text Embedding Benchmark) Multilingual v2 benchmark into a single, unified dataset for comprehensive bitext mining evaluation.
Dataset Summary
Total Examples: 448,229 sentence pairs
Source Datasets (Configs): 10 MTEB BitextMining tasks
Total Splits: 332 language pairs/configurations
Languages: 300+ unique language codes across all datasets… See the full description on the dataset page: https://huggingface.co/datasets/SaylorTwift/mteb-bitext-mining-aggregated.macrobench-bittensor-01bitext_sib200_miners