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@@ -254,19 +254,36 @@ fewshot_output = finetune_forecast_trainer.evaluate(dset_test)
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  The r2 TTM models were trained on a collection of datasets as follows:
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  - Australian Electricity Demand: https://zenodo.org/records/4659727
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  - Australian Weather: https://zenodo.org/records/4654822
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- - Bitcoin dataset: https://zenodo.org/records/5122101
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- - KDD Cup 2018 dataset: https://zenodo.org/records/4656756
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  - London Smart Meters: https://zenodo.org/records/4656091
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  - Saugeen River Flow: https://zenodo.org/records/4656058
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  - Solar Power: https://zenodo.org/records/4656027
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  - Sunspots: https://zenodo.org/records/4654722
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  - Solar: https://zenodo.org/records/4656144
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  - US Births: https://zenodo.org/records/4656049
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- - Wind Farms Production data: https://zenodo.org/records/4654858
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  - Wind Power: https://zenodo.org/records/4656032
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  - PEMSD3, PEMSD4, PEMSD7, PEMSD8, PEMS_BAY: https://drive.google.com/drive/folders/1g5v2Gq1tkOq8XO0HDCZ9nOTtRpB6-gPe
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  - LOS_LOOP: https://drive.google.com/drive/folders/1g5v2Gq1tkOq8XO0HDCZ9nOTtRpB6-gPe
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  ## Citation
 
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  The r2 TTM models were trained on a collection of datasets as follows:
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  - Australian Electricity Demand: https://zenodo.org/records/4659727
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  - Australian Weather: https://zenodo.org/records/4654822
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+ - Bitcoin: https://zenodo.org/records/5122101
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+ - KDD Cup 2018: https://zenodo.org/records/4656756
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  - London Smart Meters: https://zenodo.org/records/4656091
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  - Saugeen River Flow: https://zenodo.org/records/4656058
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  - Solar Power: https://zenodo.org/records/4656027
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  - Sunspots: https://zenodo.org/records/4654722
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  - Solar: https://zenodo.org/records/4656144
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  - US Births: https://zenodo.org/records/4656049
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+ - Wind Farms Production: https://zenodo.org/records/4654858
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  - Wind Power: https://zenodo.org/records/4656032
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  - PEMSD3, PEMSD4, PEMSD7, PEMSD8, PEMS_BAY: https://drive.google.com/drive/folders/1g5v2Gq1tkOq8XO0HDCZ9nOTtRpB6-gPe
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  - LOS_LOOP: https://drive.google.com/drive/folders/1g5v2Gq1tkOq8XO0HDCZ9nOTtRpB6-gPe
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+ The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:
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+ - Weather: https://zenodo.org/records/4654822
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+ - Covid Deaths: https://zenodo.org/records/4656009
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+ - Covid Mobility: https://zenodo.org/records/4663809
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+ - Extended Wikipedia Web Traffic: https://zenodo.org/records/7371038
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+ - NN5: https://zenodo.org/records/4656117, https://zenodo.org/records/4656125
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+ - Temperature Rain: https://zenodo.org/records/5129091
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+ - Vehicle Trips: https://zenodo.org/records/5122537
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+ - Kaggle Web Traffic: https://zenodo.org/records/4656075, https://zenodo.org/records/4656664
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+ - Hierarchical Sales: https://huggingface.co/datasets/Salesforce/lotsa_data/tree/main/hierarchical_sales
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+ - Project Tycho: https://huggingface.co/datasets/Salesforce/lotsa_data/tree/main/project_tycho
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+ - Subseasonal: https://huggingface.co/datasets/Salesforce/lotsa_data/tree/main/subseasonal
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+ - Subseasonal Precipitation: https://huggingface.co/datasets/Salesforce/lotsa_data/tree/main/subseasonal_precip
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+ - Uber TLC: https://huggingface.co/datasets/Salesforce/lotsa_data/tree/main/uber_tlc_daily
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+ - Wiki Rolling: https://github.com/awslabs/gluonts/blob/1553651ca1fca63a16e012b8927bd9ce72b8e79e/datasets/wiki-rolling_nips.tar.gz
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+ - CDC FluView ILINet: https://huggingface.co/datasets/Salesforce/lotsa_data/tree/main/cdc_fluview_ilinet
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+ - CDC FluView WHO/NREVSS: https://huggingface.co/datasets/Salesforce/lotsa_data/tree/main/cdc_fluview_who_nrevss
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  ## Citation