References:
weather
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/weather')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
3010 |
'train' |
3010 |
'validation' |
3010 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
tourism_yearly
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/tourism_yearly')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
518 |
'train' |
518 |
'validation' |
518 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
tourism_quarterly
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/tourism_quarterly')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
427 |
'train' |
427 |
'validation' |
427 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
tourism_monthly
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/tourism_monthly')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
366 |
'train' |
366 |
'validation' |
366 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
cif_2016
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/cif_2016')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
72 |
'train' |
72 |
'validation' |
72 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
london_smart_meters
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/london_smart_meters')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
5560 |
'train' |
5560 |
'validation' |
5560 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
australian_electricity_demand
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/australian_electricity_demand')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
5 |
'train' |
5 |
'validation' |
5 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
wind_farms_minutely
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/wind_farms_minutely')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
339 |
'train' |
339 |
'validation' |
339 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
bitcoin
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/bitcoin')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
18 |
'train' |
18 |
'validation' |
18 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
pedestrian_counts
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/pedestrian_counts')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
66 |
'train' |
66 |
'validation' |
66 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
vehicle_trips
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/vehicle_trips')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
329 |
'train' |
329 |
'validation' |
329 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
kdd_cup_2018
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/kdd_cup_2018')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
270 |
'train' |
270 |
'validation' |
270 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
nn5_daily
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/nn5_daily')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
111 |
'train' |
111 |
'validation' |
111 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
nn5_weekly
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/nn5_weekly')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
111 |
'train' |
111 |
'validation' |
111 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
kaggle_web_traffic
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/kaggle_web_traffic')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
145063 |
'train' |
145063 |
'validation' |
145063 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
kaggle_web_traffic_weekly
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/kaggle_web_traffic_weekly')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
145063 |
'train' |
145063 |
'validation' |
145063 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
solar_10_minutes
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/solar_10_minutes')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
137 |
'train' |
137 |
'validation' |
137 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
solar_weekly
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/solar_weekly')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
137 |
'train' |
137 |
'validation' |
137 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
car_parts
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/car_parts')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
2674 |
'train' |
2674 |
'validation' |
2674 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
fred_md
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/fred_md')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
107 |
'train' |
107 |
'validation' |
107 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
traffic_hourly
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/traffic_hourly')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
862 |
'train' |
862 |
'validation' |
862 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
traffic_weekly
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/traffic_weekly')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
862 |
'train' |
862 |
'validation' |
862 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
hospital
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/hospital')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
767 |
'train' |
767 |
'validation' |
767 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
covid_deaths
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/covid_deaths')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
266 |
'train' |
266 |
'validation' |
266 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
sunspot
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/sunspot')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
1 |
'train' |
1 |
'validation' |
1 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
saugeenday
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/saugeenday')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
1 |
'train' |
1 |
'validation' |
1 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
us_births
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/us_births')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
1 |
'train' |
1 |
'validation' |
1 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
solar_4_seconds
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/solar_4_seconds')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
1 |
'train' |
1 |
'validation' |
1 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
wind_4_seconds
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/wind_4_seconds')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
1 |
'train' |
1 |
'validation' |
1 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
rideshare
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/rideshare')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
156 |
'train' |
156 |
'validation' |
156 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
oikolab_weather
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/oikolab_weather')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
8 |
'train' |
8 |
'validation' |
8 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
temperature_rain
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:monash_tsf/temperature_rain')
- Description:
The first repository containing datasets of related time series for global forecasting.
- License: The Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
422 |
'train' |
422 |
'validation' |
422 |
- Features:
{
"start": {
"dtype": "timestamp[s]",
"id": null,
"_type": "Value"
},
"target": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_static_cat": {
"feature": {
"dtype": "uint64",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"feat_dynamic_real": {
"feature": {
"feature": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"item_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}