datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dbsueragpu-rental-prices
GPU Rental Prices
A daily ledger of cloud GPU rental prices: what it actually costs, per GPU per hour, to rent an H100, H200, B200, A100, MI300X, RTX 4090/5090, L40S, GH200 and other accelerators from 22 cloud providers. Every price row carries its own provenance: the provider page or API it was fetched from and the exact fetch timestamp.
The dataset is append-only. A new snapshot is recorded every day; history starts 2026-07-05 and cannot be backfilled, which is the reason it… See the full description on the dataset page: https://huggingface.co/datasets/gpurentalprices/gpu-rental-prices.multi-task-tcc-robosuite
XIRL
Overview
Setup
Datasets
Code Navigation
Experiments: Reproducing Paper Results
Extending XIRL
Acknowledgments
Overview
Code release for our CoRL 2021 conference paper:
XIRL: Cross-embodiment Inverse Reinforcement Learning
Kevin Zakka1,3, Andy Zeng1, Pete Florence1, Jonathan Tompson1, Jeannette Bohg2, and Debidatta Dwibedi1
Conference on Robot Learning (CoRL) 2021
1Robotics at Google,
2Stanford… See the full description on the dataset page: https://huggingface.co/datasets/Renton-Ren/multi-task-tcc-robosuite.apartments_for_rent_classified_10Kseoul-apartment-rent
Seoul Apartment Rent (Jeonse/Wolse) Real Transaction Data
Real transaction data for apartment rent (jeonse and wolse) in Seoul, South Korea.
Covers all 25 districts with monthly granularity.
전세 (Jeonse): Large lump-sum deposit, no monthly rent (monthly_rent = 0)
월세 (Wolse): Smaller deposit + monthly rent payments
Data sourced from Korea's Ministry of Land, Infrastructure and Transport (국토교통부)
via the official data.go.kr API.
Dataset Summary
Records: 1,220,346… See the full description on the dataset page: https://huggingface.co/datasets/kpubdata/seoul-apartment-rent.NHL_DBVGCP_robosuite
VGCP: learning Inverse Dynamics Model using Inverse Reinforcement Learning
Preparation
1. Encoder for reward computation: The encoder is pretrained using TCC, and each is for one task. Download pretrain_runs.zip
2. Datasets for conditioning goals: The goals in observation are from a randomly sampled sequence in demonstrations. They are psuedo-goals. Download and put datasets under VGCP.
3. Finally, prepare video generative… See the full description on the dataset page: https://huggingface.co/datasets/Renton-Ren/VGCP_robosuite.sarfact-rescue-rent2-20260922-b946d3eff42f52b500a4NHLxG
NHLxG Runtime Assets
This dataset contains the runtime XGBoost expected-goals assets used by the nhlscraper R package.
Contents
export/nhlscraper_xgboost_bundle.rds: model index, preprocessing specifications, metadata, and SHA-256 checksums.
models/vYYYYYYYY_partition.xgb: XGBoost booster files referenced by the bundle.
The six partitions are sd, ev, pp, sh, en, and ps. The package downloads only the boosters needed for a scoring call and verifies each file… See the full description on the dataset page: https://huggingface.co/datasets/RentoSaijo/NHLxG.video-to-action-libero-assetslium-videos
Lium short videos
Short product videos from Lium, the GPU rental marketplace. They're made by code from live lium.io prices and real screen recordings. Prices on screen were live when each video was made; providers set prices, so check lium.io/pricing for the current ones.
File
What it shows
Recorded
lium-video-01-b300.mp4
8x NVIDIA B300 from one CLI command, $68 an hour
prices from 24 Sep 2026 02:29 UTC
lium-video-02-agents.mp4
An AI agent finding, renting and… See the full description on the dataset page: https://huggingface.co/datasets/gpu-rentals/lium-videos.poland-rent-medians
Poland Rental Market Medians
Median asking rents for residential rentals across Poland, by city, district and
flat size, measured from live listings. The collection pipeline runs nightly;
these downloadable editions are periodic, not automatically refreshed nightly.
Use the dated live API for the current serving snapshot.
Snapshot: 2026-09-13
Coverage: 49 cities, 96 city districts, 1–4 room flats
Sum of city-level sample sizes (district rows overlap these): 22,036
History:… See the full description on the dataset page: https://huggingface.co/datasets/polandrent/poland-rent-medians.sarfact-rescue-rent1-20260922-8794683d08c3ac3fd9d6sarfact-rescue-rent1-20260922-30fc2cebe3d19aab551dsarfact-rescue-rent1-20260922-41fd97bbdbd30bdb76c8sarfact-rescue-rent1-20260922-288af67534787aa1bb87africa-synth-realestate-rental-listings-nigeria
Africa Synth Realestate Rental Listings Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: infrastructure_transport - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-realestate-rental-listings-nigeria.sarfact-rescue-rent1-20260922-606286b0b7012ff987c1repro-ski-rental-with-distributional-predictions-of-unknown-quality-traces
Agent traces
Agent sessions published from a Trackio Logbook.
adamvakar_irish-rent-prices-2020-2025-rtb-official-data
Irish Rent Prices 2020-2025 (RTB Official Data)
Average monthly rent across 26 Irish counties - ML ready dataset
Dataset Info
Source: Kaggle
Original Size: 0.92 MB
Kaggle Downloads: 687
Files: 3
Files
irish_rent_by_county.csv
irish_rent_full.csv
irish_rent_specific.csv
Mirrored from Kaggle
seoul-bike-rent-month
Seoul Bike Ttareungi Monthly Usage (서울 따릉이 월별 이용정보)
Monthly usage statistics for Seoul's public bike-sharing system "Ttareungi" (따릉이),
aggregated by station, subscription type, and age group.
Important: Text values (rent_type, station_name, age_group) are in Korean.
Column names are in English for global accessibility.
Dataset Summary
Records
~119,000
Features
11
Period
Multiple months (YYYYMM format)
Source
Seoul Open Data Plaza
Features… See the full description on the dataset page: https://huggingface.co/datasets/kpubdata/seoul-bike-rent-month.gpu-spot-rental-prices
GPU spot-rental prices
Weekly medians of vast.ai marketplace asks, normalised to USD per GPU-hour (dph_total / num_gpus),
for H100, H200, B200, B300, A100 — on-demand and interruptible tiers where listed.
Method: cheapest-500 asks per SKU, so the series is deliberately low-biased; min / p25 / median per tier.
Machine-generated from vast.ai's public marketplace API. No internal figures, no vendor quotes.
data/prices.csv — the series, one row per GPU x tier per collection date… See the full description on the dataset page: https://huggingface.co/datasets/thsysmfh/gpu-spot-rental-prices.reddit_dataset_142
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/reddit_dataset_142.sarfact-rent2-supplement-transit-20260925nigeria-lagos-rent-2022_promptsafrica-synth-urbanization-rental-housing-market-africa-morocco
Africa Synth Urbanization Rental Housing Market Africa Morocco | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: economics_finance - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-urbanization-rental-housing-market-africa-morocco.rent-vs-buy-scenarios
Rent Vs Buy Scenarios
2,148 pre-computed rent vs buy breakeven scenarios across 179 markets.
Details
Records: 2148
Format: JSONL
License: CC-BY-4.0
Last Updated: March 2026
Verified By: Tate Thompson, NMLS #2473962
Publisher: Good News Lending
Thompson Alpha Logic
Economic modeling of the 'Break-Even Year' in 179 Southeast markets based on current rental inflation vs. fixed-rate mortgage stability. Calculates the exact month when buying becomes cheaper than… See the full description on the dataset page: https://huggingface.co/datasets/Good-News-Lending/rent-vs-buy-scenarios.africa-synth-realestate-rental-yields-nigeria
Africa Synth Realestate Rental Yields Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: infrastructure_transport - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-realestate-rental-yields-nigeria.Gen-Arena
Gen-Arena
Gen-Arena is a text-to-image evaluation benchmark for compositional prompt following and reference-conditioned generation. Each sample contains a natural-language generation prompt, optional reference images, named entities, and fine-grained constraints.
Gen-Arena is introduced in the paper SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation as a human-annotated benchmark with entity- and constraint-level specifications.
This… See the full description on the dataset page: https://huggingface.co/datasets/rentianfei122/Gen-Arena.asia-owid-natural-resource-rents
Natural Resource Rents | Asia (Our World in Data)
🌏 2,025 observations · 47 Asia countries · 1970–2021 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 2,025 observations of Natural Resource Rents data across 47 Asia countries, spanning 1970–2021.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Natural Resource Rents
Geographic coverage
47 Asia countries · top… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-natural-resource-rents.