| | --- |
| | pretty_name: Chronos datasets (extra) |
| | annotations_creators: |
| | - no-annotation |
| | source_datasets: |
| | - original |
| | task_categories: |
| | - time-series-forecasting |
| | task_ids: |
| | - univariate-time-series-forecasting |
| | - multivariate-time-series-forecasting |
| | license: apache-2.0 |
| | dataset_info: |
| | - config_name: ETTh |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: timestamp |
| | 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 |
| | num_bytes: 2229840 |
| | num_examples: 2 |
| | download_size: 0 |
| | dataset_size: 2229840 |
| | - 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: 8919120 |
| | num_examples: 2 |
| | download_size: 0 |
| | dataset_size: 8919120 |
| | - config_name: brazilian_cities_temperature |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: timestamp |
| | sequence: timestamp[ms] |
| | - name: temperature |
| | sequence: float32 |
| | splits: |
| | - name: train |
| | num_bytes: 109234 |
| | num_examples: 12 |
| | download_size: 0 |
| | dataset_size: 109234 |
| | - config_name: spanish_energy_and_weather |
| | features: |
| | - name: timestamp |
| | sequence: timestamp[ms] |
| | - name: generation_biomass |
| | 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 |
| | 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 |
| | --- |
| | |
| | # Chronos datasets |
| |
|
| | Time series datasets used for training and evaluation of the [Chronos](https://github.com/amazon-science/chronos-forecasting) forecasting models. |
| |
|
| | 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. |
| |
|
| |
|
| | ## Usage |
| |
|
| | Datasets can be loaded using the 🤗 [`datasets`](https://huggingface.co/docs/datasets/en/index) library |
| | ```python |
| | import datasets |
| | |
| | ds = datasets.load_dataset("autogluon/chronos_datasets_extra", "ETTh", split="train", trust_remote_code=True) |
| | ds.set_format("numpy") # sequences returned as numpy arrays |
| | ``` |
| |
|
| | For more information about the data format and usage please refer to [`autogluon/chronos_datasets`](https://huggingface.co/datasets/autogluon/chronos_datasets). |
| |
|
| |
|
| | ## License |
| | 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. |
| |
|
| | The dataset script provided in this repository (`chronos_datasets_extra.py`) is available under the Apache 2.0 License. |
| |
|
