Add links to the original source of the data, with licenses

README.md

@@ -104,4 +104,18 @@ Note: to convert *past_time* and *future_time* to Pandas DataFrame, use the foll
 ## Computing the RCPRS metric
 
 Code to compute the RCPRS metric is available in the [`compute_rcrps_with_hf_dataset.py`](https://huggingface.co/datasets/ServiceNow/context-is-key/blob/main/compute_rcrps_with_hf_dataset.py) script inside this dataset repository.
-Please look at the `__main__` section of the script to see an example on how to use it.
+Please look at the `__main__` section of the script to see an example on how to use it.
+
+## Licenses of the original data
+
+The time series data contained in this dataset has been created using various public datasets that are either in the Public Domain or licensed under CC-BY-4.0.
+
+* [Fire statistics for the city of Montréal](https://donnees.montreal.ca/dataset/2fc8a2b9-1556-410e-a118-c46e97e9f19e/resource/71e86320-e35c-4b4c-878a-e52124294355/download/donneesouvertes-interventions-sim.csv): CC-BY-4.0.
+* [Data collected from *causal chambers*](https://github.com/juangamella/causal-chamber): CC-BY-4.0.
+* [Electrical energy consumption](https://zenodo.org/records/3898439): CC-BY-4.0.
+* [ATM cash withdrawal](https://zenodo.org/records/3889740): CC-BY-4.0.
+* [Irradiance and weather data](https://nsrdb.nrel.gov/data-viewer): CC-BY-4.0.
+* [Retail data](https://zenodo.org/records/4654802): CC-BY-4.0.
+* [Solar energy production](https://zenodo.org/records/4656144): CC-BY-4.0.
+* [USA unemployment](https://fred.stlouisfed.org/series/AUST448URN) (link points to only one of downloaded series): Public domain.
+* [California traffic data](https://pems.dot.ca.gov/): Public domain.