Remove old datasets

ETTh/train-00000-of-00001.parquet

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ETTm/train-00000-of-00001.parquet

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-size 1986490

README.md

@@ -36,511 +36,11 @@ dataset_info:
     num_examples: 2
   download_size: 569100
   dataset_size: 2229842
-- config_name: ETTm
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: HUFL
-    sequence: float64
-  - name: HULL
-    sequence: float64
-  - name: MUFL
-    sequence: float64
-  - name: MULL
-    sequence: float64
-  - name: LUFL
-    sequence: float64
-  - name: LULL
-    sequence: float64
-  - name: OT
-    sequence: float64
-  splits:
-  - name: train
-    num_bytes: 8919122
-    num_examples: 2
-  download_size: 1986490
-  dataset_size: 8919122
-- 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: favorita_store_sales
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[us]
-  - name: sales
-    sequence: float64
-  - name: onpromotion
-    sequence: int64
-  - name: oil_price
-    sequence: float64
-  - name: holiday
-    sequence: string
-  - name: store_nbr
-    dtype: int64
-  - name: family
-    dtype: string
-  - name: city
-    dtype: string
-  - name: state
-    dtype: string
-  - name: type
-    dtype: string
-  - name: cluster
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 113609820
-    num_examples: 1782
-  download_size: 8385672
-  dataset_size: 113609820
-- config_name: favorita_transactions
-  features:
-  - name: id
-    dtype: int64
-  - name: timestamp
-    sequence: timestamp[us]
-  - name: transactions
-    sequence: int64
-  - name: oil_price
-    sequence: float64
-  - name: holiday
-    sequence: string
-  - name: store_nbr
-    dtype: int64
-  - name: city
-    dtype: string
-  - name: state
-    dtype: string
-  - name: type
-    dtype: string
-  - name: cluster
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 2711975
-    num_examples: 54
-  download_size: 207866
-  dataset_size: 2711975
-- 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: 81672751
-  dataset_size: 3815531330
-- config_name: proenfo_bull
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target
-    sequence: float64
-  - name: airtemperature
-    sequence: float64
-  - name: dewtemperature
-    sequence: float64
-  - name: sealvlpressure
-    sequence: float64
-  splits:
-  - name: train
-    num_bytes: 28773967
-    num_examples: 41
-  download_size: 3893651
-  dataset_size: 28773967
-- config_name: proenfo_cockatoo
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target
-    sequence: float64
-  - name: airtemperature
-    sequence: float64
-  - name: dewtemperature
-    sequence: float64
-  - name: sealvlpressure
-    sequence: float64
-  - name: winddirection
-    sequence: float64
-  - name: windspeed
-    sequence: float64
-  splits:
-  - name: train
-    num_bytes: 982517
-    num_examples: 1
-  download_size: 408973
-  dataset_size: 982517
-- config_name: proenfo_covid19
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target
-    sequence: float64
-  - name: pressure_kpa
-    sequence: float64
-  - name: cloud_cover_perc
-    sequence: float64
-  - name: humidity_perc
-    sequence: float64
-  - name: airtemperature
-    sequence: float64
-  - name: wind_direction_deg
-    sequence: float64
-  - name: wind_speed_kmh
-    sequence: float64
-  splits:
-  - name: train
-    num_bytes: 2042408
-    num_examples: 1
-  download_size: 965912
-  dataset_size: 2042408
-- config_name: proenfo_gfc12_load
-  features:
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-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target
-    sequence: float64
-  - name: airtemperature
-    sequence: float64
-  splits:
-  - name: train
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-    num_examples: 11
-  download_size: 3161406
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-- config_name: proenfo_gfc14_load
-  features:
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-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target
-    sequence: float64
-  - name: airtemperature
-    sequence: float64
-  splits:
-  - name: train
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-- config_name: proenfo_gfc17_load
-  features:
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-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target
-    sequence: float64
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-    sequence: int64
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-- config_name: proenfo_hog
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target
-    sequence: float64
-  - name: airtemperature
-    sequence: float64
-  - name: dewtemperature
-    sequence: float64
-  - name: sealvlpressure
-    sequence: float64
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-    sequence: float64
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-- config_name: proenfo_pdb
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target
-    sequence: float64
-  - name: airtemperature
-    sequence: int64
-  splits:
-  - name: train
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-    num_examples: 1
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-- config_name: proenfo_spain
-  features:
-  - name: id
-    dtype: string
-  - name: timestamp
-    sequence: timestamp[ms]
-  - name: target
-    sequence: float64
-  - name: generation_biomass
-    sequence: float64
-  - name: generation_fossil_brown_coal_lignite
-    sequence: float64
-  - name: generation_fossil_coal_derived_gas
-    sequence: float64
-  - name: generation_fossil_gas
-    sequence: float64
-  - name: generation_fossil_hard_coal
-    sequence: float64
-  - name: generation_fossil_oil
-    sequence: float64
-  - name: generation_fossil_oil_shale
-    sequence: float64
-  - name: generation_fossil_peat
-    sequence: float64
-  - name: generation_geothermal
-    sequence: float64
-  - name: generation_hydro_pumped_storage_consumption
-    sequence: float64
-  - name: generation_hydro_run_of_river_and_poundage
-    sequence: float64
-  - name: generation_hydro_water_reservoir
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-  - name: generation_marine
-    sequence: float64
-  - name: generation_nuclear
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-  - name: generation_other
-    sequence: float64
-  - name: generation_other_renewable
-    sequence: float64
-  - name: generation_solar
-    sequence: float64
-  - name: generation_waste
-    sequence: float64
-  - name: generation_wind_offshore
-    sequence: float64
-  - name: generation_wind_onshore
-    sequence: float64
-  splits:
-  - name: train
-    num_bytes: 6171357
-    num_examples: 1
-  download_size: 1275626
-  dataset_size: 6171357
 configs:
 - config_name: ETTh
   data_files:
   - split: train
     path: ETTh/train-*
-- config_name: ETTm
-  data_files:
-  - split: train
-    path: ETTm/train-*
-- 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: favorita_store_sales
-  data_files:
-  - split: train
-    path: favorita/store_sales/train-*
-- config_name: favorita_transactions
-  data_files:
-  - split: train
-    path: favorita/transactions/train-*
-- config_name: m5_with_covariates
-  data_files:
-  - split: train
-    path: m5_with_covariates/train-*
-- config_name: proenfo_bull
-  data_files:
-  - split: train
-    path: proenfo/bull/train-*
-- config_name: proenfo_cockatoo
-  data_files:
-  - split: train
-    path: proenfo/cockatoo/train-*
-- config_name: proenfo_covid19
-  data_files:
-  - split: train
-    path: proenfo/covid19/train-*
-- config_name: proenfo_gfc12_load
-  data_files:
-  - split: train
-    path: proenfo/gfc12_load/train-*
-- config_name: proenfo_gfc14_load
-  data_files:
-  - split: train
-    path: proenfo/gfc14_load/train-*
-- config_name: proenfo_gfc17_load
-  data_files:
-  - split: train
-    path: proenfo/gfc17_load/train-*
-- config_name: proenfo_hog
-  data_files:
-  - split: train
-    path: proenfo/hog/train-*
-- config_name: proenfo_pdb
-  data_files:
-  - split: train
-    path: proenfo/pdb/train-*
-- config_name: proenfo_spain
-  data_files:
-  - split: train
-    path: proenfo/spain/train-*
 ---
 
 ## Forecast evaluation datasets
@@ -615,4 +115,4 @@ For more details about the dataset format and usage, check out the [`fev` docume
 
 ## Publications using these datasets
 
-- ["ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables"](https://arxiv.org/abs/2503.12107)
+- ["ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables"](https://arxiv.org/abs/2503.12107)

epf/electricity_be/train-00000-of-00001.parquet

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epf/electricity_de/train-00000-of-00001.parquet

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epf/electricity_fr/train-00000-of-00001.parquet

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epf/electricity_np/train-00000-of-00001.parquet

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epf/electricity_pjm/train-00000-of-00001.parquet

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favorita/store_sales/train-00000-of-00001.parquet

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favorita/transactions/train-00000-of-00001.parquet

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m5_with_covariates/train-00000-of-00001.parquet

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proenfo/bull/train-00000-of-00001.parquet

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proenfo/cockatoo/train-00000-of-00001.parquet

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proenfo/covid19/train-00000-of-00001.parquet

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proenfo/gfc12_load/train-00000-of-00001.parquet

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proenfo/gfc17_load/train-00000-of-00001.parquet

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proenfo/spain/train-00000-of-00001.parquet

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