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---
annotations_creators:
- no-annotation
license: other
source_datasets:
- original
task_categories:
- time-series-forecasting
task_ids:
- univariate-time-series-forecasting
- multivariate-time-series-forecasting
pretty_name: Chronos datasets
dataset_info:
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homepage: https://www.chicagobooth.edu/research/kilts/research-data/dominicks
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license: CC BY 4.0
homepage: https://archive.ics.uci.edu/dataset/321/electricityloaddiagrams20112014
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license: MIT
homepage: https://github.com/laiguokun/multivariate-time-series-data/tree/master/exchange_rate
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homepage: https://www.kaggle.com/competitions/m5-forecasting-accuracy/rules
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homepage: https://ecobici.cdmx.gob.mx/en/open-data/
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license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
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license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
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license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
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license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
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license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
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license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
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license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
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license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
- config_name: monash_kdd_cup_2018
features:
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dtype: string
- name: timestamp
sequence: timestamp[ms]
- name: target
sequence: float64
- name: city
dtype: string
- name: station
dtype: string
- name: measurement
dtype: string
splits:
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num_bytes: 47091540
num_examples: 270
download_size: 8780105
dataset_size: 47091540
license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
- config_name: monash_london_smart_meters
features:
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dtype: string
- name: timestamp
sequence: timestamp[ms]
- name: target
sequence: float64
splits:
- name: train
num_bytes: 2664567976
num_examples: 5560
download_size: 597389119
dataset_size: 2664567976
license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
- config_name: monash_m1_monthly
features:
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dtype: string
- name: timestamp
sequence: timestamp[ms]
- name: target
sequence: float64
splits:
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num_bytes: 907691
num_examples: 617
download_size: 244372
dataset_size: 907691
license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
- config_name: monash_m1_quarterly
features:
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dtype: string
- name: timestamp
sequence: timestamp[ms]
- name: target
sequence: float64
splits:
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num_bytes: 162961
num_examples: 203
download_size: 48439
dataset_size: 162961
license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
- config_name: monash_m1_yearly
features:
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dtype: string
- name: timestamp
sequence: timestamp[ms]
- name: target
sequence: float64
splits:
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num_bytes: 75679
num_examples: 181
download_size: 30754
dataset_size: 75679
license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
- config_name: monash_m3_monthly
features:
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dtype: string
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sequence: timestamp[ms]
- name: target
sequence: float64
splits:
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num_bytes: 2708124
num_examples: 1428
download_size: 589699
dataset_size: 2708124
license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
- config_name: monash_m3_quarterly
features:
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dtype: string
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sequence: timestamp[ms]
- name: target
sequence: float64
splits:
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num_bytes: 606428
num_examples: 756
download_size: 188543
dataset_size: 606428
license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
- config_name: monash_m3_yearly
features:
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dtype: string
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sequence: timestamp[ms]
- name: target
sequence: float64
splits:
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num_bytes: 305359
num_examples: 645
download_size: 100184
dataset_size: 305359
license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
- config_name: monash_nn5_weekly
features:
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dtype: string
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sequence: timestamp[ms]
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dtype: string
splits:
- name: train
num_examples: 2048
download_size: 6057953007
license: MIT
homepage: https://github.com/pangeo-data/WeatherBench
- config_name: weatherbench_hourly_total_cloud_cover
features:
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: target
sequence: float32
- name: level
dtype: float64
- name: timestamp
sequence: timestamp[ms]
- name: subset
dtype: string
- name: id
dtype: string
splits:
- name: train
num_examples: 2048
download_size: 6628258398
license: MIT
homepage: https://github.com/pangeo-data/WeatherBench
- config_name: weatherbench_hourly_total_precipitation
features:
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: target
sequence: float32
- name: level
dtype: float64
- name: timestamp
sequence: timestamp[ms]
- name: subset
dtype: string
- name: id
dtype: string
splits:
- name: train
num_examples: 2048
download_size: 6473160755
license: MIT
homepage: https://github.com/pangeo-data/WeatherBench
- config_name: weatherbench_hourly_u_component_of_wind
features:
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: target
sequence: float32
- name: level
dtype: int64
- name: timestamp
sequence: timestamp[ms]
- name: subset
dtype: string
- name: id
dtype: string
splits:
- name: train
num_examples: 26624
download_size: 94801498563
license: MIT
homepage: https://github.com/pangeo-data/WeatherBench
- config_name: weatherbench_hourly_v_component_of_wind
features:
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: target
sequence: float32
- name: level
dtype: int64
- name: timestamp
sequence: timestamp[ms]
- name: subset
dtype: string
- name: id
dtype: string
splits:
- name: train
num_examples: 26624
download_size: 94800557482
license: MIT
homepage: https://github.com/pangeo-data/WeatherBench
- config_name: weatherbench_hourly_vorticity
features:
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: target
sequence: float32
- name: level
dtype: int64
- name: timestamp
sequence: timestamp[ms]
- name: subset
dtype: string
- name: id
dtype: string
splits:
- name: train
num_examples: 26624
download_size: 94720960560
license: MIT
homepage: https://github.com/pangeo-data/WeatherBench
- config_name: weatherbench_weekly
features:
- name: id
dtype: string
- name: timestamp
sequence: timestamp[ms]
- name: target
sequence: float32
- name: latitude
dtype: float64
- name: longitude
dtype: float64
- name: level
dtype: float64
- name: subset
dtype: string
splits:
- name: train
num_bytes: 5656029184
num_examples: 225280
download_size: 2243012083
dataset_size: 5656029184
license: MIT
homepage: https://github.com/pangeo-data/WeatherBench
- config_name: wiki_daily_100k
features:
- name: id
dtype: string
- name: timestamp
sequence: timestamp[ms]
- name: target
sequence: float64
- name: page_name
dtype: string
splits:
- name: train
num_bytes: 4389782678
num_examples: 100000
download_size: 592554033
dataset_size: 4389782678
license: CC0
homepage: https://dumps.wikimedia.org/other/pageviews/readme.html
- config_name: wind_farms_daily
features:
- name: id
dtype: string
- name: timestamp
sequence: timestamp[ms]
- name: target
sequence: float64
splits:
- name: train
num_bytes: 1919187
num_examples: 337
download_size: 598834
dataset_size: 1919187
license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
- config_name: wind_farms_hourly
features:
- name: id
dtype: string
- name: timestamp
sequence: timestamp[ms]
- name: target
sequence: float64
splits:
- name: train
num_bytes: 45917027
num_examples: 337
download_size: 12333116
dataset_size: 45917027
license: CC BY 4.0
homepage: https://zenodo.org/communities/forecasting
configs:
- config_name: dominick
data_files:
- split: train
path: dominick/train-*
- config_name: electricity_15min
data_files:
- split: train
path: electricity_15min/train-*
- config_name: ercot
data_files:
- split: train
path: ercot/train-*
- config_name: exchange_rate
data_files:
- split: train
path: exchange_rate/train-*
- config_name: m4_daily
data_files:
- split: train
path: m4_daily/train-*
- config_name: m4_hourly
data_files:
- split: train
path: m4_hourly/train-*
- config_name: m4_monthly
data_files:
- split: train
path: m4_monthly/train-*
- config_name: m4_quarterly
data_files:
- split: train
path: m4_quarterly/train-*
- config_name: m4_weekly
data_files:
- split: train
path: m4_weekly/train-*
- config_name: m4_yearly
data_files:
- split: train
path: m4_yearly/train-*
- config_name: m5
data_files:
- split: train
path: m5/train-*
- config_name: mexico_city_bikes
data_files:
- split: train
path: mexico_city_bikes/train-*
- config_name: monash_australian_electricity
data_files:
- split: train
path: monash_australian_electricity/train-*
- config_name: monash_car_parts
data_files:
- split: train
path: monash_car_parts/train-*
- config_name: monash_cif_2016
data_files:
- split: train
path: monash_cif_2016/train-*
- config_name: monash_covid_deaths
data_files:
- split: train
path: monash_covid_deaths/train-*
- config_name: monash_electricity_hourly
data_files:
- split: train
path: monash_electricity_hourly/train-*
- config_name: monash_electricity_weekly
data_files:
- split: train
path: monash_electricity_weekly/train-*
- config_name: monash_fred_md
data_files:
- split: train
path: monash_fred_md/train-*
- config_name: monash_hospital
data_files:
- split: train
path: monash_hospital/train-*
- config_name: monash_kdd_cup_2018
data_files:
- split: train
path: monash_kdd_cup_2018/train-*
- config_name: monash_london_smart_meters
data_files:
- split: train
path: monash_london_smart_meters/train-*
- config_name: monash_m1_monthly
data_files:
- split: train
path: monash_m1_monthly/train-*
- config_name: monash_m1_quarterly
data_files:
- split: train
path: monash_m1_quarterly/train-*
- config_name: monash_m1_yearly
data_files:
- split: train
path: monash_m1_yearly/train-*
- config_name: monash_m3_monthly
data_files:
- split: train
path: monash_m3_monthly/train-*
- config_name: monash_m3_quarterly
data_files:
- split: train
path: monash_m3_quarterly/train-*
- config_name: monash_m3_yearly
data_files:
- split: train
path: monash_m3_yearly/train-*
- config_name: monash_nn5_weekly
data_files:
- split: train
path: monash_nn5_weekly/train-*
- config_name: monash_pedestrian_counts
data_files:
- split: train
path: monash_pedestrian_counts/train-*
- config_name: monash_rideshare
data_files:
- split: train
path: monash_rideshare/train-*
- config_name: monash_saugeenday
data_files:
- split: train
path: monash_saugeenday/train-*
- config_name: monash_temperature_rain
data_files:
- split: train
path: monash_temperature_rain/train-*
- config_name: monash_tourism_monthly
data_files:
- split: train
path: monash_tourism_monthly/train-*
- config_name: monash_tourism_quarterly
data_files:
- split: train
path: monash_tourism_quarterly/train-*
- config_name: monash_tourism_yearly
data_files:
- split: train
path: monash_tourism_yearly/train-*
- config_name: monash_traffic
data_files:
- split: train
path: monash_traffic/train-*
- config_name: monash_weather
data_files:
- split: train
path: monash_weather/train-*
- config_name: nn5
data_files:
- split: train
path: nn5/train-*
- config_name: solar
data_files:
- split: train
path: solar/train-*
- config_name: solar_1h
data_files:
- split: train
path: solar_1h/train-*
- config_name: taxi_1h
data_files:
- split: train
path: taxi_1h/train-*
- config_name: taxi_30min
data_files:
- split: train
path: taxi_30min/train-*
- config_name: uber_tlc_daily
data_files:
- split: train
path: uber_tlc_daily/train-*
- config_name: uber_tlc_hourly
data_files:
- split: train
path: uber_tlc_hourly/train-*
- config_name: ushcn_daily
data_files:
- split: train
path: ushcn_daily/train-*
- config_name: weatherbench_daily
data_files:
- split: train
path: weatherbench_daily/train-*
- config_name: weatherbench_hourly_10m_u_component_of_wind
data_files:
- split: train
path: weatherbench_hourly/10m_u_component_of_wind/train-*
- config_name: weatherbench_hourly_10m_v_component_of_wind
data_files:
- split: train
path: weatherbench_hourly/10m_v_component_of_wind/train-*
- config_name: weatherbench_hourly_2m_temperature
data_files:
- split: train
path: weatherbench_hourly/2m_temperature/train-*
- config_name: weatherbench_hourly_geopotential
data_files:
- split: train
path: weatherbench_hourly/geopotential/train-*
- config_name: weatherbench_hourly_potential_vorticity
data_files:
- split: train
path: weatherbench_hourly/potential_vorticity/train-*
- config_name: weatherbench_hourly_relative_humidity
data_files:
- split: train
path: weatherbench_hourly/relative_humidity/train-*
- config_name: weatherbench_hourly_specific_humidity
data_files:
- split: train
path: weatherbench_hourly/specific_humidity/train-*
- config_name: weatherbench_hourly_temperature
data_files:
- split: train
path: weatherbench_hourly/temperature/train-*
- config_name: weatherbench_hourly_toa_incident_solar_radiation
data_files:
- split: train
path: weatherbench_hourly/toa_incident_solar_radiation/train-*
- config_name: weatherbench_hourly_total_cloud_cover
data_files:
- split: train
path: weatherbench_hourly/total_cloud_cover/train-*
- config_name: weatherbench_hourly_total_precipitation
data_files:
- split: train
path: weatherbench_hourly/total_precipitation/train-*
- config_name: weatherbench_hourly_u_component_of_wind
data_files:
- split: train
path: weatherbench_hourly/u_component_of_wind/train-*
- config_name: weatherbench_hourly_v_component_of_wind
data_files:
- split: train
path: weatherbench_hourly/v_component_of_wind/train-*
- config_name: weatherbench_hourly_vorticity
data_files:
- split: train
path: weatherbench_hourly/vorticity/train-*
- config_name: weatherbench_weekly
data_files:
- split: train
path: weatherbench_weekly/train-*
- config_name: wiki_daily_100k
data_files:
- split: train
path: wiki_daily_100k/train-*
- config_name: wind_farms_daily
data_files:
- split: train
path: wind_farms_daily/train-*
- config_name: wind_farms_hourly
data_files:
- split: train
path: wind_farms_hourly/train-*
---
# Chronos datasets
Time series datasets used for training and evaluation of the [Chronos](https://github.com/amazon-science/chronos-forecasting) forecasting models.
Note that some Chronos datasets (`ETTh`, `ETTm`, `brazilian_cities_temperature` and `spanish_energy_and_weather`) that rely on a custom builder script are available in the companion repo [`autogluon/chronos_datasets_extra`](https://huggingface.co/datasets/autogluon/chronos_datasets_extra).
See the [paper](https://arxiv.org/abs/2403.07815) for more information.
## Data format and usage
All datasets satisfy the following high-level schema:
- Each dataset row corresponds to a single (univariate or multivariate) time series.
- There exists one column with name `id` and type `string` that contains the unique identifier of each time series.
- There exists one column of type `Sequence` with dtype `timestamp[ms]`. This column contains the timestamps of the observations. Timestamps are guaranteed to have a regular frequency that can be obtained with [`pandas.infer_freq`](https://pandas.pydata.org/docs/reference/api/pandas.infer_freq.html).
- There exists at least one column of type `Sequence` with numeric (`float`, `double`, or `int`) dtype. These columns can be interpreted as target time series.
- For each row, all columns of type `Sequence` have same length.
- Remaining columns of types other than `Sequence` (e.g., `string` or `float`) can be interpreted as static covariates.
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", "m4_daily", split="train")
ds.set_format("numpy") # sequences returned as numpy arrays
```
> **NOTE:** The `train` split of all datasets contains the full time series and has no relation to the train/test split used in the Chronos paper.
Example entry in the `m4_daily` dataset
```python
>>> ds[0]
{'id': 'T000000',
'timestamp': array(['1994-03-01T12:00:00.000', '1994-03-02T12:00:00.000',
'1994-03-03T12:00:00.000', ..., '1996-12-12T12:00:00.000',
'1996-12-13T12:00:00.000', '1996-12-14T12:00:00.000'],
dtype='datetime64[ms]'),
'target': array([1017.1, 1019.3, 1017. , ..., 2071.4, 2083.8, 2080.6], dtype=float32),
'category': 'Macro'}
```
### Converting to pandas
We can easily convert data in such format to a long format data frame
```python
def to_pandas(ds: datasets.Dataset) -> "pd.DataFrame":
"""Convert dataset to long data frame format."""
sequence_columns = [col for col in ds.features if isinstance(ds.features[col], datasets.Sequence)]
return ds.to_pandas().explode(sequence_columns).infer_objects()
```
Example output
```python
>>> print(to_pandas(ds).head())
id timestamp target category
0 T000000 1994-03-01 12:00:00 1017.1 Macro
1 T000000 1994-03-02 12:00:00 1019.3 Macro
2 T000000 1994-03-03 12:00:00 1017.0 Macro
3 T000000 1994-03-04 12:00:00 1019.2 Macro
4 T000000 1994-03-05 12:00:00 1018.7 Macro
```
### Dealing with large datasets
Note that some datasets, such as subsets of WeatherBench, are extremely large (~100GB). To work with them efficiently, we recommend either loading them from disk (files will be downloaded to disk, but won't be all loaded into memory)
```python
ds = datasets.load_dataset("autogluon/chronos_datasets", "weatherbench_daily", keep_in_memory=False, split="train")
```
or, for the largest datasets like `weatherbench_hourly_temperature`, reading them in streaming format (chunks will be downloaded one at a time)
```python
ds = datasets.load_dataset("autogluon/chronos_datasets", "weatherbench_hourly_temperature", streaming=True, split="train")
```
## 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.
## Citation
If you find these datasets useful for your research, please consider citing the associated paper:
```markdown
@article{ansari2024chronos,
author = {Ansari, Abdul Fatir and Stella, Lorenzo and Turkmen, Caner and Zhang, Xiyuan and Mercado, Pedro and Shen, Huibin and Shchur, Oleksandr and Rangapuram, Syama Syndar and Pineda Arango, Sebastian and Kapoor, Shubham and Zschiegner, Jasper and Maddix, Danielle C. and Wang, Hao and Mahoney, Michael W. and Torkkola, Kari and Gordon Wilson, Andrew and Bohlke-Schneider, Michael and Wang, Yuyang},
title = {Chronos: Learning the Language of Time Series},
journal = {arXiv preprint arXiv:2403.07815},
year = {2024}
}
```
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