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README.md

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 This dataset contains two manually pre-labeled datasets:
 
-In the **economic agents dataset**, we labeled 6,205 randomized sentences from the Fed database as speaking either about households, firms, the financial sector, the government, or the central bank itself. 
+In the **economic agents dataset**, we labeled 6,205 randomized sentences from a [Fed database](https://github.com/Moritz-Pfeifer/CentralBankRoBERTa/tree/main/Data/FED) containing speeches (1948-2023) as speaking either about households, firms, the financial sector, the government, or the central bank itself. 
 
-In the **sentiment dataset**, we labeled 6,683 sentences from the Fed database, which are either labeled as being positive (1) or negative (0).
+In the **sentiment dataset**, we labeled 6,683 randomized sentences from the same database, which are either labeled as being positive (1) or negative (0).
 
 The datasets were used to train an [agent classifier](https://huggingface.co/Moritz-Pfeifer/CentralBankRoBERTa-agent-classifier) and a [sentiment classifier](https://huggingface.co/Moritz-Pfeifer/CentralBankRoBERTa-sentiment-classifier).