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README.md

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 # Extreme Weather Event Impacts: Data and Models
 
-This is the model and data description for the paper "[What Firms Actually Lose (and Gain) from Extreme Weather Event Impacts](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6035794)". It includes the datasets and the code to create it.
+This is the model and data description for the paper "[What Firms Actually Lose (and Gain) from Extreme Weather Event Impacts](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6035794)".
 
 ## Data
-The simplest form of the project is the 13,277 firm-event impacts. This is created by analyzing over 1.7 million filings (3.5 billion paragraphs) of all publicly listed firms in the US. We analyse filing types: event-based Form 8-K, quarterly reported Form 10-Q, and annually reported Form 10-K. We upload all paragraphs that are at least containing a mention of a extrme weather event / physical risk in a more fine-grained dataset.
+The simplest form of the project is the 13,277 firm-event impacts. This is created by analyzing over 1.7 million filings (3.5 billion paragraphs) of all publicly listed firms in the US. We analyse filing types: event-based Form 8-K, quarterly reported Form 10-Q, and annually reported Form 10-K. We upload all paragraphs that contain at least a mention of an extreme weather event / physical risk in a more fine-grained dataset.
 
 ### Event-Impact Data
 This is the final data, including the 13,277 firm-event impacts (**name: [event_impact_data](https://huggingface.co/datasets/extreme-weather-impacts/event_impact_data)**). It has the following structure:
@@ -55,7 +55,7 @@ We classify over 1.7 million files and 3.5 paragraphs with our models. We analys
 - impact_channel: indicates “asset”, “only_economic_flows”, “none” according to the impact channel classification;  “only_economic_flows” means that there was no asset impact co-detected with economic flows
 
 ## Models
-We upload all models, and training data on [here on HuggingFace](https://huggingface.co/extreme-weather-impacts). Model usage is described in the corresponding model pages.
+We upload all models, and training data in this repository. Model usage is described in the corresponding model pages.
 
 ## Repository under construction
 The repository is currently being constructed. If you have any questions, please reach out to tobias.schimanski@df.uzh.ch.