README.md

metadata

dataset_info:
  - config_name: epf_electricity_be
    features:
      - name: id
        dtype: string
      - name: timestamp
        sequence: timestamp[us]
      - name: target
        sequence: float64
      - name: Generation forecast
        sequence: float64
      - name: System load forecast
        sequence: float64
    splits:
      - name: train
        num_bytes: 1677334
        num_examples: 1
    download_size: 1001070
    dataset_size: 1677334
  - config_name: epf_electricity_de
    features:
      - name: id
        dtype: string
      - name: timestamp
        sequence: timestamp[us]
      - name: target
        sequence: float64
      - name: Ampirion Load Forecast
        sequence: float64
      - name: PV+Wind Forecast
        sequence: float64
    splits:
      - name: train
        num_bytes: 1677334
        num_examples: 1
    download_size: 1285249
    dataset_size: 1677334
  - config_name: epf_electricity_fr
    features:
      - name: id
        dtype: string
      - name: timestamp
        sequence: timestamp[us]
      - name: target
        sequence: float64
      - name: Generation forecast
        sequence: float64
      - name: System load forecast
        sequence: float64
    splits:
      - name: train
        num_bytes: 1677334
        num_examples: 1
    download_size: 1075381
    dataset_size: 1677334
  - config_name: epf_electricity_np
    features:
      - name: id
        dtype: string
      - name: timestamp
        sequence: timestamp[us]
      - name: target
        sequence: float64
      - name: Grid load forecast
        sequence: float64
      - name: Wind power forecast
        sequence: float64
    splits:
      - name: train
        num_bytes: 1677334
        num_examples: 1
    download_size: 902996
    dataset_size: 1677334
  - config_name: epf_electricity_pjm
    features:
      - name: id
        dtype: string
      - name: timestamp
        sequence: timestamp[us]
      - name: target
        sequence: float64
      - name: System load forecast
        sequence: float64
      - name: Zonal COMED load foecast
        sequence: float64
    splits:
      - name: train
        num_bytes: 1677335
        num_examples: 1
    download_size: 1396603
    dataset_size: 1677335
  - config_name: m5_with_covariates
    features:
      - name: id
        dtype: string
      - name: timestamp
        sequence: timestamp[us]
      - name: target
        sequence: float64
      - name: snap_CA
        sequence: int64
      - name: snap_TX
        sequence: int64
      - name: snap_WI
        sequence: int64
      - name: sell_price
        sequence: float64
      - name: event_Cultural
        sequence: int64
      - name: event_National
        sequence: int64
      - name: event_Religious
        sequence: int64
      - name: event_Sporting
        sequence: int64
      - name: item_id
        dtype: string
      - name: dept_id
        dtype: string
      - name: cat_id
        dtype: string
      - name: store_id
        dtype: string
      - name: state_id
        dtype: string
    splits:
      - name: train
        num_bytes: 3815531330
        num_examples: 30490
    download_size: 82054418
    dataset_size: 3815531330
configs:
  - config_name: epf_electricity_be
    data_files:
      - split: train
        path: epf/electricity_be/train-*
  - config_name: epf_electricity_de
    data_files:
      - split: train
        path: epf/electricity_de/train-*
  - config_name: epf_electricity_fr
    data_files:
      - split: train
        path: epf/electricity_fr/train-*
  - config_name: epf_electricity_np
    data_files:
      - split: train
        path: epf/electricity_np/train-*
  - config_name: epf_electricity_pjm
    data_files:
      - split: train
        path: epf/electricity_pjm/train-*
  - config_name: m5_with_covariates
    data_files:
      - split: train
        path: m5_with_covariates/train-*