--- license: cc-by-nc-4.0 task_categories: - time-series-forecasting tags: - time-series - forecasting - benchmark pretty_name: TIME language: - en configs: - config_name: Australia_Solar_H data_files: - split: train path: Australia_Solar/H/*.arrow - config_name: Auto_Production_SF_M data_files: - split: train path: Auto_Production_SF/M/*.arrow - config_name: CPHL_15T data_files: - split: train path: CPHL/15T/*.arrow - config_name: CPHL_30T data_files: - split: train path: CPHL/30T/*.arrow - config_name: CPHL_H data_files: - split: train path: CPHL/H/*.arrow - config_name: Coastal_T_S_15T data_files: - split: train path: Coastal_T_S/15T/*.arrow - config_name: Coastal_T_S_20T data_files: - split: train path: Coastal_T_S/20T/*.arrow - config_name: Coastal_T_S_5T data_files: - split: train path: Coastal_T_S/5T/*.arrow - config_name: Coastal_T_S_H data_files: - split: train path: Coastal_T_S/H/*.arrow - config_name: Commodity_Import_M data_files: - split: train path: Commodity_Import/M/*.arrow - config_name: Commodity_Production_M data_files: - split: train path: Commodity_Production/M/*.arrow - config_name: Crypto_D data_files: - split: train path: Crypto/D/*.arrow - config_name: ECDC_COVID_D data_files: - split: train path: ECDC_COVID/D/*.arrow - config_name: ECDC_COVID_W data_files: - split: train path: ECDC_COVID/W/*.arrow - config_name: EWELD_Load_15T data_files: - split: train path: EWELD_Load/15T/*.arrow - config_name: Finland_Traffic_15T data_files: - split: train path: Finland_Traffic/15T/*.arrow - config_name: Global_Influenza_W data_files: - split: train path: Global_Influenza/W/*.arrow - config_name: Global_Price_Q data_files: - split: train path: Global_Price/Q/*.arrow - config_name: Housing_Inventory_M data_files: - split: train path: Housing_Inventory/M/*.arrow - config_name: JOLTS_M data_files: - split: train path: JOLTS/M/*.arrow - config_name: Job_Claims_W data_files: - split: train path: Job_Claims/W/*.arrow - config_name: MetroPT-3_5T data_files: - split: train path: MetroPT-3/5T/*.arrow - config_name: NE_China_Wind_H data_files: - split: train path: NE_China_Wind/H/*.arrow - config_name: Oil_Price_B data_files: - split: train path: Oil_Price/B/*.arrow - config_name: Online_Retail_2_UCI_D data_files: - split: train path: Online_Retail_2_UCI/D/*.arrow - config_name: OpenElectricity_NEM_5T data_files: - split: train path: OpenElectricity_NEM/5T/*.arrow - config_name: Port_Activity_D data_files: - split: train path: Port_Activity/D/*.arrow - config_name: Port_Activity_W data_files: - split: train path: Port_Activity/W/*.arrow - config_name: SG_Carpark_15T data_files: - split: train path: SG_Carpark/15T/*.arrow - config_name: SG_PM25_H data_files: - split: train path: SG_PM25/H/*.arrow - config_name: SG_Weather_D data_files: - split: train path: SG_Weather/D/*.arrow - config_name: Smart_Manufacturing_H data_files: - split: train path: Smart_Manufacturing/H/*.arrow - config_name: Supply_Chain_Customer_D data_files: - split: train path: Supply_Chain_Customer/D/*.arrow - config_name: Supply_Chain_Location_D data_files: - split: train path: Supply_Chain_Location/D/*.arrow - config_name: US_Labor_M data_files: - split: train path: US_Labor/M/*.arrow - config_name: US_Term_Structure_B data_files: - split: train path: US_Term_Structure/B/*.arrow - config_name: Uncertainty_1M_M data_files: - split: train path: Uncertainty_1M/M/*.arrow - config_name: Vehicle_Sales_M data_files: - split: train path: Vehicle_Sales/M/*.arrow - config_name: Vehicle_Supply_M data_files: - split: train path: Vehicle_Supply/M/*.arrow - config_name: WUI_Global_Q data_files: - split: train path: WUI_Global/Q/*.arrow - config_name: Water_Quality_Darwin_15T data_files: - split: train path: Water_Quality_Darwin/15T/*.arrow - config_name: azure2019_D_5T data_files: - split: train path: azure2019_D/5T/*.arrow - config_name: azure2019_I_5T data_files: - split: train path: azure2019_I/5T/*.arrow - config_name: azure2019_U_5T data_files: - split: train path: azure2019_U/5T/*.arrow - config_name: current_velocity_10T data_files: - split: train path: current_velocity/10T/*.arrow - config_name: current_velocity_15T data_files: - split: train path: current_velocity/15T/*.arrow - config_name: current_velocity_20T data_files: - split: train path: current_velocity/20T/*.arrow - config_name: current_velocity_5T data_files: - split: train path: current_velocity/5T/*.arrow - config_name: current_velocity_H data_files: - split: train path: current_velocity/H/*.arrow - config_name: epf_electricity_price_H data_files: - split: train path: epf_electricity_price/H/*.arrow --- # **TIME** We present TIME, a task-centric benchmark comprising 50 fresh datasets and 98 forecasting tasks, where configurations are aligned with real-world operational requirements. By archiving window-level prediction results, our benchmark enables pattern-level evaluation and visualization. This repository contains the ready-to-use Hugging Face dataset for running experiments. [🏆Leaderboard](https://huggingface.co/spaces/Real-TSF/TIME-leaderboard) [📂Processed csv](https://huggingface.co/datasets/Real-TSF/TIME-ProcessedCSV) (Optional: For reference or custom pipelines only) [📊Reuslts & tsfeatures](https://huggingface.co/datasets/Real-TSF/TIME-Output) (Optional: Leaderboard data, not required for experiments) # **Update Log** * **2026-05-25**: Update the dataset license to **CC BY-NC 4.0** to ensure compliance with all constituent data providers. * **2026-05-20**: Update `Crypto/D`. Update data with public market aggregates from [BitInfoCharts](https://bitinfocharts.com). * **2026-05-16**: Update `Global_Influenza/W`. Fix the bug reported in [Issue #5](https://github.com/zqiao11/TIME/issues/5). * **2026-02-10**: Initial Release. Introduced a comprehensive benchmark comprising 50 datasets across 98 evaluation tasks.