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SAVRN Model Hub · Datasets by Task

Time Series Forecasting Datasets

19 open-weight time series forecasting datasets in the SAVRN Model Hub, with Rogerdehe, Astro Legacy Archive and Subatomic Physics & Detector Telemetry Lab (SPDTL) publishing the most.

19Datasets
16Publishers
6Licenses

SAVRN's Take

Nine datasets sit under this task, and two of the listed entries hold nearly all the bytes. GiftEvalPretrain from Salesforce AI Research bundles 71 univariate and 17 multivariate datasets across seven domains and 13 frequencies, 4.5 million series and 230 billion data points, with no leakage across the train and test split. At 397,938 downloads it is the entry for pretraining a forecasting model rather than tuning one. Open Climate Fix (Archives) publishes a subset of the Met Office UK Deterministic Dataset, converted from NetCDF into Zarr, our pick for solar output. The rest are narrow feeds: Polymarket CLOB WebSocket messages for microstructure work, IBM Quantum Heron calibration drift against space weather, and 14,612,276 rows of central bank exchange rates back to 1914.

Disk comes first: GiftEvalPretrain is about 737 GB and the solar subset about 537 GB, so the two headline entries need over a terabyte of fast storage before training starts. The four smaller entries together fit under a gigabyte. On licenses, four of the nine are CC BY 4.0, one MIT, one Apache 2.0, and three are marked other, including the Polymarket archive; other is the category to open and read before a model trained on it earns revenue. We would test the no-leakage claim against our own held-out split before trusting it.

Most Downloaded

DatasetPublisherLicenseMonthly downloads
GiftEvalPretrain Salesforce AI Research apache-2.0 397.9k
met-office-uk-deterministic-solar Open Climate Fix (Archives) cc-by-4.0 177.8k
polymarket-l2-history Arthur other 46.6k
USDT-M_Perpetual_Futures Lin Xueyuan mit 17.7k
caliceo Julien Chaumond mit 16.4k
klines-binance Rogerdehe mit 7.6k
qiskit-calibration-drift Charles Norton cc-by-4.0 6.2k
klines-okx Rogerdehe mit 5.8k
klines-bybit Rogerdehe mit 5.7k
bishkek-transport AI Academy KG other 1.7k

Licenses

LicenseDatasetsCommercial use
cc-by-4.06Yes
other5Read the license
mit5Yes
cc0-1.01Read the license
cc-by-nc-sa-4.01Not without separate permission
apache-2.01Yes

Who Publishes Them

PublisherDatasets
Rogerdehe3
Astro Legacy Archive2
Subatomic Physics & Detector Telemetry Lab (SPDTL)1
Abdellah Sbai1
Salesforce AI Research1
Charles Norton1

All 19 Datasets

Dataset · Time series forecasting

GiftEvalPretrain

Salesforce AI Research

Pretraining dataset aligned with GIFT-Eval that has 71 univariate and 17 multivariate datasets, spanning seven domains and 13 frequencies, totaling 4.5 million time series and 230 billion data points. Notably this collection of data has no leakage issue with the train/test split and can be used to pretrain foundation models that can be fairly evaluated on GIFT-Eval. This release is for research purposes only in support of an academic paper. Our models, datasets, and code are not specifically designed or evaluated for all downstream purposes. We strongly recommend users evaluate and address potential concerns related to accuracy, safety, and fairness before deploying this model. We encourage…

Publicly accessible apache-2.0 1M<n<10M

This dataset is a subset of the Met Office UK Deterministic Dataset, converted from the original NetCDF format into Zarr format for modern data analysis. The Zarr files are packaged as.zarr.zip archives for efficient storage and transfer. The subset focuses on specific variables and configurations, which are detailed below. Researchers and developers can use this subset for applications in climate science, weather forecasting, and renewable energy modeling. This dataset is provided under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). When using this dataset, you must provide proper attribution to the Met Office as outlined below. This dataset is derived from the Met…

Publicly accessible cc-by-4.0 10K<n<100K

Dataset · Time series forecasting

polymarket-l2-history

Arthur

Append-only archives of public Polymarket CLOB WebSocket messages for markets eligible for liquidity rewards. The dataset is intended for market microstructure research, backtests and machine-learning experiments. No wallet data, private keys or authenticated trading information is collected. Files are gzip-compressed JSON Lines and grouped by source and UTC date. The source data comes from Polymarket's public CLOB interfaces and remains subject to the applicable source-platform terms.

Publicly accessible other

Dataset · Time series forecasting

USDT-M_Perpetual_Futures

Lin Xueyuan

USDT-M Perpetual Futures (Binance) Binance USDT-margined perpetual futures historical data, including OHLCV klines, mark / index / premium-index prices, open-interest & long/short ratios, and funding rates. Auto-updated daily from the official Binance public data mirror. 每日从 Binance 官方数据镜像自动更新。 Usage Data is stored as Parquet in per-symbol subdirectories. import pandas as

Publicly accessible mit 10M<n<100M

Dataset · Time series forecasting

caliceo

Julien Chaumond

src="https://julien-c-caliceo.static.hf.space" frameborder="0" width="100%" height="740"

Publicly accessible mit

Dataset · Time series forecasting

klines-binance

Rogerdehe

Historical OHLCV candlestick (kline) data for Binance USDT markets — both spot and USDT-margined perpetual futures — stored as zstd-compressed Parquet. - Spot seeded from the DigiTuccar HistoricalDataForTradeBacktest snapshot (static, ~2025-05). - Futures is fresh to 2026-07 and retains delisted symbols, so it can be used for point-in-time / survivorship-bias-free backtests. - spot/1d/BTCUSDT.parquet - futures/1m/BTCUSDTUSDT.parquet - futures/1h/BTCUSDTUSDT-mark.parquet (mark price, where available) - futures/8h/BTCUSDTUSDT-fundingrate.parquet (funding rate, where available) Spot pairs are BASEUSDT; futures pairs are BASEUSDTUSDT (USDT-margined perp). - Timestamps are UTC. Timeframe…

Publicly accessible mit 1B<n<10B

Dataset · Time series forecasting

qiskit-calibration-drift

Charles Norton

Calibration parameters from IBM Quantum Heron processors joined to ambient and space-weather conditions at the time of each measurement. Designed for time-series forecasting of qubit drift and for studying environmental coupling to superconducting calibrations. A GitHub Action (source) polls backend.properties() on every available Heron device every 30 minutes and appends new calibration events keyed on (backend, property, qubita, qubitb, calibratedtime). All backends are at IBM's Yorktown Heights, NY facility (lat=41.27, lon=-73.78). Coherence. T1, T2 per qubit, in microseconds. Single-qubit gate errors. sxerror, xerror, iderror, rxerror, rzerror. Reported separately by the IBM API; on a…

Publicly accessible cc-by-4.0 1M<n<10M

Dataset · Time series forecasting

klines-bybit

Rogerdehe

Historical OHLCV candlestick (kline) data for Bybit USDT-margined perpetual futures, stored as zstd-compressed Parquet. Includes delisted symbols, so it is usable for point-in-time / survivorship-bias-free backtests. - futures/1d/BTCUSDTUSDT.parquet - futures/1h/BTCUSDTUSDT-mark.parquet (mark price) - futures/8h/BTCUSDTUSDT-fundingrate.parquet (funding rate) Pairs are BASEUSDTUSDT (USDT-margined perpetual). Each OHLCV Parquet has columns date (UTC candle open), open, high, low, close, volume. - Timestamps are UTC. Coverage varies per pair (newer listings have shorter history). - The HF dataset viewer is disabled (custom per-pair layout); load files directly. - Data provided as-is for…

Publicly accessible mit 1B<n<10B

Dataset · Time series forecasting

klines-okx

Rogerdehe

Historical OHLCV candlestick (kline) data for OKX USDT-margined perpetual futures, stored as zstd-compressed Parquet. Includes delisted symbols where available, for point-in-time / survivorship-bias-free backtests. - futures/1d/BTCUSDTUSDT.parquet - futures/1h/BTCUSDTUSDT-mark.parquet (mark price) - futures/8h/BTCUSDTUSDT-fundingrate.parquet (funding rate) Pairs are BASEUSDTUSDT (USDT-margined perpetual). Each OHLCV Parquet has columns date (UTC candle open), open, high, low, close, volume. - Timestamps are UTC. Coverage varies per pair; this dataset is still filling in. - The HF dataset viewer is disabled (custom per-pair layout); load files directly. - Data provided as-is for research; no…

Publicly accessible mit 1B<n<10B

Dataset · Time series forecasting

bishkek-transport

AI Academy KG

Open, continuously-growing data on the public-transport network of Bishkek, the capital of the Kyrgyz Republic. The data originates from the Bishkek mayoralty's public-transport monitoring system (the same feed behind the city's official live transit map and its "My City" mobile service). Only publicly buses, trolleybuses/electric buses, and marshrutkas (shared minibuses). The dataset is longitudinal and ongoing. Vehicle positions have been recorded continuously since 2026-07-24 (UTC) and are appended daily, so the tracking subset grows every day. This makes it, to our knowledge, the first openly available historical record of transit movement for Bishkek — the source system exposes only…

Publicly accessible other 100M<n<1B

Dataset · Time series forecasting

central-bank-exchange-rates

Today

Official exchange rates published by 103 central banks and 4 tax authorities, as one CSV per institution: 14,612,276 rows, the oldest series from 1914. Refreshed daily from the GitHub source repository. Every row is the figure the institution itself published for that date: the ECB euro reference rate, the Federal Reserve H.10 table, the Bank of England spot rates, RBI reference rates, PBoC central parity, HMRC monthly rates for VAT, US Treasury quarterly rates, and a hundred more. These are the rates that invoices, tax filings, customs declarations, transfer pricing and audits require, as opposed to market rates. Direction follows the publisher: the ECB quotes EUR → USD, the Reserve Bank…

Publicly accessible cc-by-4.0 10M<n<100M

Dataset · Time series forecasting

polymarket-l2-research

Kishan Vavdara

Private, append-only research data collected by hourlycryptoquant. - futurewindowl21s: contracts, snapshots - polymarketl21s: contracts, featuresnapshots - polymarketl25s: contracts, featuresnapshots - polymarketrtds: priceticks, structuralsnapshots - externalvenuel21s: venueseconds Rows are exported from SQLite as immutable Parquet shards. The repository is updated approximately every four hours. Paths are partitioned by source, table, and UTC date. rowid is the source-database row identifier used for incremental checkpointing. This dataset intentionally excludes environment files, credentials, wallet and account information, live orders, live executions, paper portfolios, logs, and…

Access requested at publisher other

Dataset · Time series forecasting

ast-spacemobile-fleet-data

Julien Simon

Part of a dataset collection on Hugging Face. Daily health snapshots of the AST SpaceMobile BlueBird direct-to-cell satellite constellation, derived from CelesTrak GP (General Perturbations) data. Tracks the BlueWalker 3 prototype and all production BlueBird satellites as the constellation is built out. AST SpaceMobile is developing a unique LEO constellation designed to provide broadband connectivity directly to ordinary unmodified smartphones, without special satellite-phone hardware. The BlueBird satellites use unusually large phased-array antennas (up to 700 m2) to close the link budget with handset-sized antennas on the ground. The BlueWalker 3 prototype launched in 2022, the first…

Publicly accessible other n<1K

This repository serves as a cold-storage archive for uncalibrated, high-entropy digitized waveforms collected from Time Projection Chamber (TPC) readout pads during high-luminosity particle collision runs. The dataset consists of continuous analog-to-digital converter (ADC) time-series samples captured across multi-channel front-end ASICs before zero-suppression or track reconstruction algorithms are applied. Because these raw dumps preserve all hardware-level thermal noise, baseline fluctuations, and beam-induced electromagnetic interference, they appear as unstructured binary payloads. This dataset is designed for benchmarking distributed hardware accelerators, developing AI-driven online…

Publicly accessible cc-by-nc-sa-4.0 100K<n<1M

Dataset · Time series forecasting

gwosc-o4a-strain

Astro Legacy Archive

This dataset contains the public Gravitational Wave Open Science Center O4a strain release at 16,384 Hz for H1, L1. Each detector is represented independently. A contiguous source span produces three Parquet files: Strain, DQmask, and Injmask. This research has made use of data or software obtained from the Gravitational Wave Open Science Center (gwosc.org), a service of the LIGO Scientific Collaboration, the Virgo Collaboration, and KAGRA. This material is based upon work supported by NSF's LIGO Laboratory which is a major facility fully funded by the National Science Foundation, as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society…

Publicly accessible cc-by-4.0

Dataset · Time series forecasting

looked-up

Abdellah Sbai

What the world pays attention to, hour by hour, across languages. This dataset holds the hourly pageviews of every Wikipedia article in the 30 most-read language editions. It is refreshed every hour from Wikimedia's public pageview dumps, with desktop and mobile views kept apart and every title mappable to a Wikidata item. Built and maintained by github.com/Sbaiii/looked-up, where the code, the data model and all design decisions (ADRs) live. One day is one file, so reading a single day is fastest: readparquet('hf://datasets/Sbaiiiiii/looked-up/data/hourly/year=2026/month=10/day=06.parquet'). data/hourly/…/day=DD.parquet, with rows sorted by (lang, title, tshourstart), zstd level 9…

Publicly accessible cc0-1.0 1B<n<10B

Dataset · Time series forecasting

gwosc-o4b-strain

Astro Legacy Archive

This dataset contains the public Gravitational Wave Open Science Center O4b strain release at 16,384 Hz for H1, L1, V1. Each detector is represented independently. A contiguous source span produces three Parquet files: Strain, DQmask, and Injmask. This research has made use of data or software obtained from the Gravitational Wave Open Science Center (gwosc.org), a service of the LIGO Scientific Collaboration, the Virgo Collaboration, and KAGRA. This material is based upon work supported by NSF's LIGO Laboratory which is a major facility fully funded by the National Science Foundation, as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the…

Publicly accessible cc-by-4.0

Dataset · Time series forecasting

urban-event-chains

Bibek Gupta

Data and results for Multi-Agent Prompting with In-Context Feedback for Cross-Modal Urban Event Chain Prediction (Sensors, MDPI). Code: github.com/bibekgupta3333/urban-event-chain-prediction-multi-agent-prompting The nine -bedrock- run directories are the model grid the paper reports: 5 configurations (singleagent, multiagent, noisysingle, multifeedback, multinofeedback) × expert prompt level × 3 cities, 85 test chains per configuration. Bedrock exposes no seed, so these runs are not byte-reproducible. - Traffic data are municipal traffic-speed feeds (probe-derived segment estimates, daily) — Chicago Traffic Tracker (sxs8-h27x), NYC Real-Time Traffic Speed (i4gi-tjb9), SF via DataSF. They…

Publicly accessible other 1M<n<10M

Dataset · Time series forecasting

x402-market-pulse

Nima Ansari

A small, growing time series of how much USDC actually settles through x402 pay-per-call APIs on Base, measured from on-chain Transfer logs rather than from provider-reported call counts. One row per measurement; every row is a trailing 24-hour window ending at measuredatutc. Status: bootstrapping. 11 rows spanning 2026-09-22T13:34Z to 2026-09-23T03:01Z — less than one independent day of data so far. Rows are kept to at most one per clock hour and a new one is added whenever our demand snapshot refreshes (in practice a few times a day; cadence is not guaranteed). 13,340 confirmed x402 payments, $239.61 settled in its 24 h window. - Windows overlap. Two rows an hour apart share 23 of their…

Publicly accessible cc-by-4.0 n<1K

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