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--- |
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pretty_name: Chronos datasets (extra) |
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annotations_creators: |
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- no-annotation |
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source_datasets: |
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- original |
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task_categories: |
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- time-series-forecasting |
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task_ids: |
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- univariate-time-series-forecasting |
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- multivariate-time-series-forecasting |
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license: apache-2.0 |
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dataset_info: |
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- config_name: ETTh |
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features: |
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- name: id |
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dtype: string |
|
- name: timestamp |
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sequence: timestamp[ns] |
|
- 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 |
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num_bytes: 2229840 |
|
num_examples: 2 |
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download_size: 0 |
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dataset_size: 2229840 |
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- config_name: ETTm |
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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 |
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num_bytes: 8919120 |
|
num_examples: 2 |
|
download_size: 0 |
|
dataset_size: 8919120 |
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- config_name: brazilian_cities_temperature |
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features: |
|
- name: id |
|
dtype: string |
|
- name: timestamp |
|
sequence: timestamp[ms] |
|
- name: temperature |
|
sequence: float32 |
|
splits: |
|
- name: train |
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num_bytes: 109234 |
|
num_examples: 12 |
|
download_size: 0 |
|
dataset_size: 109234 |
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- config_name: spanish_energy_and_weather |
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features: |
|
- name: timestamp |
|
sequence: timestamp[ms] |
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- name: generation_biomass |
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sequence: float64 |
|
- name: generation_fossil_brown_coal/lignite |
|
sequence: float64 |
|
- name: generation_fossil_gas |
|
sequence: float64 |
|
- name: generation_fossil_hard_coal |
|
sequence: float64 |
|
- name: generation_fossil_oil |
|
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 |
|
sequence: float64 |
|
- name: generation_nuclear |
|
sequence: float64 |
|
- name: generation_other |
|
sequence: float64 |
|
- name: generation_other_renewable |
|
sequence: float64 |
|
- name: generation_solar |
|
sequence: float64 |
|
- name: generation_waste |
|
sequence: float64 |
|
- name: generation_wind_onshore |
|
sequence: float64 |
|
- name: total_load_actual |
|
sequence: float64 |
|
- name: price_actual |
|
sequence: float64 |
|
- name: Barcelona_temp |
|
sequence: float64 |
|
- name: Bilbao_temp |
|
sequence: float64 |
|
- name: Madrid_temp |
|
sequence: float64 |
|
- name: Seville_temp |
|
sequence: float64 |
|
- name: Valencia_temp |
|
sequence: float64 |
|
- name: Barcelona_temp_min |
|
sequence: float64 |
|
- name: Bilbao_temp_min |
|
sequence: float64 |
|
- name: Madrid_temp_min |
|
sequence: float64 |
|
- name: Seville_temp_min |
|
sequence: float64 |
|
- name: Valencia_temp_min |
|
sequence: float64 |
|
- name: Barcelona_temp_max |
|
sequence: float64 |
|
- name: Bilbao_temp_max |
|
sequence: float64 |
|
- name: Madrid_temp_max |
|
sequence: float64 |
|
- name: Seville_temp_max |
|
sequence: float64 |
|
- name: Valencia_temp_max |
|
sequence: float64 |
|
- name: Barcelona_pressure |
|
sequence: float64 |
|
- name: Bilbao_pressure |
|
sequence: float64 |
|
- name: Madrid_pressure |
|
sequence: float64 |
|
- name: Seville_pressure |
|
sequence: float64 |
|
- name: Valencia_pressure |
|
sequence: float64 |
|
- name: Barcelona_humidity |
|
sequence: float64 |
|
- name: Bilbao_humidity |
|
sequence: float64 |
|
- name: Madrid_humidity |
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sequence: float64 |
|
- name: Seville_humidity |
|
sequence: float64 |
|
- name: Valencia_humidity |
|
sequence: float64 |
|
- name: Barcelona_wind_speed |
|
sequence: float64 |
|
- name: Bilbao_wind_speed |
|
sequence: float64 |
|
- name: Madrid_wind_speed |
|
sequence: float64 |
|
- name: Seville_wind_speed |
|
sequence: float64 |
|
- name: Valencia_wind_speed |
|
sequence: float64 |
|
- name: Barcelona_wind_deg |
|
sequence: float64 |
|
- name: Bilbao_wind_deg |
|
sequence: float64 |
|
- name: Madrid_wind_deg |
|
sequence: float64 |
|
- name: Seville_wind_deg |
|
sequence: float64 |
|
- name: Valencia_wind_deg |
|
sequence: float64 |
|
- name: Barcelona_rain_1h |
|
sequence: float64 |
|
- name: Bilbao_rain_1h |
|
sequence: float64 |
|
- name: Madrid_rain_1h |
|
sequence: float64 |
|
- name: Seville_rain_1h |
|
sequence: float64 |
|
- name: Valencia_rain_1h |
|
sequence: float64 |
|
- name: Barcelona_snow_3h |
|
sequence: float64 |
|
- name: Bilbao_snow_3h |
|
sequence: float64 |
|
- name: Madrid_snow_3h |
|
sequence: float64 |
|
- name: Seville_snow_3h |
|
sequence: float64 |
|
- name: Valencia_snow_3h |
|
sequence: float64 |
|
- name: Barcelona_clouds_all |
|
sequence: float64 |
|
- name: Bilbao_clouds_all |
|
sequence: float64 |
|
- name: Madrid_clouds_all |
|
sequence: float64 |
|
- name: Seville_clouds_all |
|
sequence: float64 |
|
- name: Valencia_clouds_all |
|
sequence: float64 |
|
splits: |
|
- name: train |
|
num_bytes: 18794572 |
|
num_examples: 1 |
|
download_size: 0 |
|
dataset_size: 18794572 |
|
--- |
|
|
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# Chronos datasets |
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|
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Time series datasets used for training and evaluation of the [Chronos](https://github.com/amazon-science/chronos-forecasting) forecasting models. |
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|
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This repository contains scripts for constructing datasets that cannot be hosted in the [main Chronos datasets repository](https://huggingface.co/datasets/autogluon/chronos_datasets) due to license restrictions. |
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## Usage |
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|
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Datasets can be loaded using the 🤗 [`datasets`](https://huggingface.co/docs/datasets/en/index) library |
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```python |
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import datasets |
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|
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ds = datasets.load_dataset("autogluon/chronos_datasets_extra", "ETTh", split="train", trust_remote_code=True) |
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ds.set_format("numpy") # sequences returned as numpy arrays |
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``` |
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|
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For more information about the data format and usage please refer to [`autogluon/chronos_datasets`](https://huggingface.co/datasets/autogluon/chronos_datasets). |
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## License |
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Different datasets available in this collection are distributed under different open source licenses. Please see `ds.info.license` and `ds.info.homepage` for each individual dataset. |
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|
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The dataset script provided in this repository (`chronos_datasets_extra.py`) is available under the Apache 2.0 License. |
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