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Datasets:
Real-TSF
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TIME

Tasks:
Time Series Forecasting
Languages:
English
Tags:
time-series
forecasting
benchmark
License:
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TIME / README.md
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metadata 
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

📂Processed csv (Optional: For reference or custom pipelines only)

📊Reuslts & tsfeatures (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.
  • 2026-05-16: Update Global_Influenza/W. Fix the bug reported in Issue #5.
  • 2026-02-10: Initial Release. Introduced a comprehensive benchmark comprising 50 datasets across 98 evaluation tasks.