datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dojo_attribution_factorForex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)
Timezone:… See the full description on the dataset page: https://huggingface.co/datasets/Ehsanrs2/Forex_Factory_Calendar.factorjepa-outputsstock_factorsForex_Factory_Calendar
📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)
This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.
📦 Dataset Summary
Total timespan: 2007-01-01 → 2025-04-07
Format: CSV (UTF-8)
Timezone:… See the full description on the dataset page: https://huggingface.co/datasets/Tropstan/Forex_Factory_Calendar.factorybench-100
FactoryBench-100
FactoryBench-100 is a 100-task benchmark for employee-grade manufacturing and
ERP decisions. Each public prompt is a short, high-level employee request; it
does not name the systems, files, API calls, answer schema, or execution order.
The isolated SQLite world exposes documented Oracle Fusion Cloud 26a REST
operations alongside Gmail v1, Drive v3, Sheets v4, and Slack Web API operations
over synthetic state.
Harbor runs the authoritative SQLite state and trace… See the full description on the dataset page: https://huggingface.co/datasets/SamuelChien821/factorybench-100.FactoryNet
FactoryNet
A multi-embodiment industrial time-series corpus: 56,591 end-to-end task executions
(14,847 real, 41,744 simulated), 113M logged timesteps, 7 embodiments, 4 tasks,
27 annotated anomaly types with healthy baselines and counterfactual pairs.
Every signal from every source is mapped into one control-theoretic schema —
Setpoint, Effort, Feedback, Context (S-E-F-C) — so a single dataloader works across a
6-DOF arm and a 4-axis CNC gantry, and commanded versus realized… See the full description on the dataset page: https://huggingface.co/datasets/Forgis/FactoryNet.unified-evidence-factory-2026-09-19
CSOAI unified evidence-factory control plane — 19 September 2026
This dataset consolidates the existing Council of AI estate into one reproducible control plane while the protected GitHub release path is unavailable.
It is an execution registry, not a scoreboard or certification. A subject's presence means it is discoverable to the factory. It does not mean the subject has been measured, signed, approved, found safe, or found compliant.
Contents… See the full description on the dataset page: https://huggingface.co/datasets/csoai/unified-evidence-factory-2026-09-19.risk-factors-verifySWE-Factory-GymDeepSWE-Agent-Kimi-K2-Trajectories-2.8Kfactorynet
FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models.
FactoryNet is a large-scale, unified dataset designed to advance Industrial Time-Series Foundation Models within robotic manufacturing. By providing highly standardized, high-frequency telemetry across different robot morphologies (UR3, KUKA), specialized end-effectors (screwdrivers, grippers), and tens of thousands of simulated counterfactuals, FactoryNet serves as a rigorous benchmark for sequence… See the full description on the dataset page: https://huggingface.co/datasets/factorynet/factorynet.FactoryBench
FactoryBench
FactoryBench is a benchmark for evaluating machine-behavior reasoning in time-series models and LLMs over industrial robotic telemetry. Question-answer pairs are organised along the four levels of Pearl's causal hierarchy:
Level
Capability
Example
L1 — State
Identify the operational state from raw signals
"Which fault, if any, is occurring in this episode?"
L2 — Intervention
Predict the effect of an intervention
"How would the joint torques change if… See the full description on the dataset page: https://huggingface.co/datasets/FactoryBench/FactoryBench.3d-llama-factoryp2-prismatic-factor-resultsanima-style-factor-intervention-v4
Anima Style Factor Intervention v4
Summary
Anima Style Factor Intervention v4 is a private training feature dataset for person-oriented open-set style transfer. It pairs deterministic Line, Color, Texture, and Geometry interventions with frozen SigLIP2 full/face features and frozen Anima internal descriptors. The dataset is derived from the private 500,000-image Anima style corpus and does not redistribute a second copy of the source images.
The training split… See the full description on the dataset page: https://huggingface.co/datasets/ij/anima-style-factor-intervention-v4.factorynet
FactoryNet
A multi-embodiment industrial time-series corpus: 56,591 end-to-end task executions
(14,847 real, 41,744 simulated), 113M logged timesteps, 7 embodiments, 4 tasks,
27 annotated anomaly types with healthy baselines and counterfactual pairs.
Every signal from every source is mapped into one control-theoretic schema —
Setpoint, Effort, Feedback, Context (S-E-F-C) — so a single dataloader works across a
6-DOF arm and a 4-axis CNC gantry, and commanded versus realized… See the full description on the dataset page: https://huggingface.co/datasets/FactoryNet4/factorynet.diseasesf-actor-behavior-sd-mimi
F-Actor Mimi Dataset
This repository contains the data accompanying the paper
F-Actor: Controllable Conversational Behaviour in Full-Duplex Models.
The data consists of the Behavior-SD dataset, encoded using kyutai/mimi, and augmented with a different narrative.
About our work:
Spoken conversational systems require more than accurate speech generation to have human-like conversations: to feel natural and engaging, they must produce conversational behaviour that adapts dynamically… See the full description on the dataset page: https://huggingface.co/datasets/maikezu/f-actor-behavior-sd-mimi.factor-library
Tidy Finance Factor Library: Portfolio Returns
Monthly long-short portfolio returns for 179 firm characteristics across 4,105,728 portfolio construction specifications. The data cover US common stocks from January 1960 to December 2024.
Dataset Details
Dataset Description
The dataset contains monthly long-short portfolio returns for 179 sorting variables: the continuous predictors published by Open Source Asset Pricing (Chen and Zimmermann, 2022)… See the full description on the dataset page: https://huggingface.co/datasets/tidy-finance/factor-library.factory-manipulation-videos
Factory manipulation videos
Procedural Robotics is open sourcing a small set of our factory data so teams can assess its quality. The videos show workers performing factory tasks.
Contents
Seven continuous takes, 109 minutes in total.
Task
Station
Worker
Duration
File
cardboard manipulation
01
041
23.6 min
cardboard_manipulation_station01_worker041.mp4
cardboard manipulation
04
026
16.5 min
cardboard_manipulation_station04_worker026.mp4
defect… See the full description on the dataset page: https://huggingface.co/datasets/procedural-robotics/factory-manipulation-videos.us-factory-plant-closings-manufacturing-layoffs-warn-act-notices-daily
US factory and plant closings — the actual WARN Act manufacturing filings, rebuilt every day
Last rebuilt: 2026-09-24. 4,835 layoff and closure notices filed by
factories and industrial plants, auto assembly and parts makers, food and beverage processors and packers, metal, plastics, paper, textile, furniture and electronics producers, and the industrial suppliers that close with them with US state labor departments — 616,065 workers,
2,773 employers, 48 states, 1989–2027.
1,507… See the full description on the dataset page: https://huggingface.co/datasets/APProjects/us-factory-plant-closings-manufacturing-layoffs-warn-act-notices-daily.specworks-factory
SPECWORKS — Factory-Style Spec Organization
A filesystem factory for building with agents. Specs are not documents that describe production — they are the production line. Work enters as an order, gets its own station, moves down the assembly line, passes quality control, and ships — with a paper trail at every station.
The floor
specworks/
├── AGENT.md # fleet constitution + FACTORY PROTOCOL
├── orders/ORD-<n>-<name>/ # order book: PRD + SCOPE… See the full description on the dataset page: https://huggingface.co/datasets/designfailure/specworks-factory.Stocks-Quarterly-FactorSignals
Stocks Quarterly FactorSignals
Quarterly factor exposures and scores for US equities.
763,836 rows over 22,791 symbols, 35 columns, covering 1998-03-31 to 2026-06-30. Refreshed monthly.
Strategies Built on This Data
53 papers in the Papers With Backtest catalogue declare this dataset as an input. 52 of them have been coded and run over their own full history. The median replicated Sharpe ratio is +0.52, and 58% clear a t-statistic of 1.96 on their own sample… See the full description on the dataset page: https://huggingface.co/datasets/paperswithbacktest/Stocks-Quarterly-FactorSignals.ds-compslm-factory-run1
Status: source. never_train=False. Canonical registry: Trustgate_SLM docs/DATASET_REGISTRY.md.
ds-compslm-factory-run1
Family: Shashu / compliance. Role: candidate.
GitHub repo: trustgate-slm-factory.
Dataset IDs used: factory run 1 cards (133).
Drop=NO list: docs/DATASET_REGISTRY.md.
Baseline pointer: UNKNOWN.
Company: Trustgate AI.
Train rows: 62. Test rows: 43.
Proposals are eval-only and are not in this mix.
fidelity-data-factory
Fidelity Data Factory – Egocentric State–Action Transitions (v0)
This repository contains an initial release of structured state–action–state′
transitions extracted from real-world egocentric video.
The goal of this dataset is to provide early infrastructure for learning
dynamics and representations from large-scale human activity data.
Overview
Each data point is a short temporal transition of the form:
(s_t, a_t, s_{t+1})
Transitions are derived from monocular… See the full description on the dataset page: https://huggingface.co/datasets/sanskxr02/fidelity-data-factory.factorio-blueprint-visualizations
Dataset Description
This dataset is a collection of visualizations of Factorio Blueprints using this Factorio Visualization Tool: https://github.com/piebro/factorio-blueprint-visualizer. The Blueprints are collected from https://www.factorio.school/.
Examples
Dataset Structure
"svg_original": The svg downloaded like this from the website
"svg_rect": The svg reshaped to a rect and a slightly bigger border
"png_1024x1024": The svg_rect images exported as… See the full description on the dataset page: https://huggingface.co/datasets/piebro/factorio-blueprint-visualizations.f-actor-behavior-sd-nanocodec
F-Actor Nano-Codec Dataset
This repository contains the data accompanying the paper
F-Actor: Controllable Conversational Behaviour in Full-Duplex Models.
The data consists of the Behavior-SD dataset, encoded using nvidia/nemo-nano-codec-22khz-0.6kbps-12.5fps, and augmented with a different narrative.
About our work:
Spoken conversational systems require more than accurate speech generation to have human-like conversations: to feel natural and engaging, they must produce… See the full description on the dataset page: https://huggingface.co/datasets/maikezu/f-actor-behavior-sd-nanocodec.preference_data_llama_factory_wo_checklist
Dataset Card for "preference_data_llama_factory_wo_checklist"
More Information needed
Global-Value-Factor-Database-Refactor-V2
Refactor and HF dataset (including texts): Daniel Rosehill
Source data: International Foundation for Valuing Impacts
This dataset provides V2 of a refactoring of the Global Value Factor Database (GVFD) by the International Foundation for Valuing Impacts intended to enhance the original dataset for machine readability and integration into data analysis and visualization workloads.
The International Foundation for Valuing Impacts (IFVI) produces an (open-source) database called the Global… See the full description on the dataset page: https://huggingface.co/datasets/danielrosehill/Global-Value-Factor-Database-Refactor-V2.