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@@ -66,7 +66,7 @@ The dataset contains the following four configurations :
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  - **Kenya :** Containing the data used to train our models for predicting bird species distribution in Kenya.
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  - **South Africa :** Containing the data used to train our models for predicting bird species distribution in South Africa.
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  - **USA-Winter :** Containing the data used to train our models for predicting bird species distribution in the United States of America during the winter season.
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- **USA-Summer :** Containing the data used to train our models for predicting bird species distribution in the United States of America during the summer season.
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  Each subset can be further divided into `train`, `test` and `split`. These splits are the same as the one we used in our paper, and were generated by following the pre-processing pipeline described in our paper, which can be easily reproduced by re-using our [code](https://github.com/cath34/batis_benchmark_neurips_2025/blob/main/Splits/combined_script.py).
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  - **Kenya :** Containing the data used to train our models for predicting bird species distribution in Kenya.
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  - **South Africa :** Containing the data used to train our models for predicting bird species distribution in South Africa.
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  - **USA-Winter :** Containing the data used to train our models for predicting bird species distribution in the United States of America during the winter season.
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+ - **USA-Summer :** Containing the data used to train our models for predicting bird species distribution in the United States of America during the summer season.
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  Each subset can be further divided into `train`, `test` and `split`. These splits are the same as the one we used in our paper, and were generated by following the pre-processing pipeline described in our paper, which can be easily reproduced by re-using our [code](https://github.com/cath34/batis_benchmark_neurips_2025/blob/main/Splits/combined_script.py).
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