Update README.md

README.md

@@ -33,14 +33,20 @@ dataset_info:
      dtype: int64
    - name: synthetic_labels
      list:
-     - dtype: string
-       name: Aspekt
-     - dtype: string
-       name: Sentimentbegriff
-     - dtype: string
-       name: Valenz
-     - dtype: string
-       name: Erregung
+     - name: Aspekt
+       dtype: string
+     - name: Sentimentbegriff
+       dtype: string
+     - name: Valenz
+       dtype: string
+     - name: Erregung
+       dtype: string
+   - name: messages
+     list:
+     - name: role
+       dtype: string
+     - name: content
+       dtype: string
   splits:
   - name: train
     num_bytes: 28172007
@@ -65,10 +71,10 @@ A corpus of short texts and parliamentary speech transcripts by the German polit
 **Documents are taken from the original repository at [github.com/discourse-lab/afd-ccc](https://github.com/discourse-lab/afd-ccc/).**
 > Manfred Stede and Ronja Memminger. 2025. [AfD-CCC: Analyzing the Climate Change Discourse of a German Right-wing Political Party.](https://aclanthology.org/2025.nlp4pi-1.14/) In Proceedings of the Fourth Workshop on NLP for Positive Impact (NLP4PI), pages 163–174, Vienna, Austria. Association for Computational Linguistics.
 
-- German Parliament speeches (2017-2022): Extracted from [OpenDiscourse](https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/FIKIBO        ) (Richter et al., 2020)
+- German Parliament speeches (2017-2022): Extracted from [OpenDiscourse](https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/FIKIBO         ) (Richter et al., 2020)
 - German Parliament speeches (2022-2025): Retrieved from Government records via the [DIP API](https://dip.bundestag.de).
 - European Parliament speeches (2014-2024): Extracted from the [ParlLawSpeech](https://parllawspeech.org/) dataset, Version 1.0 (Schwabach et al., 2025)
-- Telegram messages (2019-2025): Scraped from public channels using [FROG](https://journals.sagepub.com/doi/10.1177/20501579241244973        ) (Priming & Fröschl, 2024)
+- Telegram messages (2019-2025): Scraped from public channels using [FROG](https://journals.sagepub.com/doi/10.1177/20501579241244973         ) (Priming & Fröschl, 2024)
 - Press releases (2017-2021): Extracted from press releases made available by Schaefer et al. (2023)
 - ~~Tweets (2017-2022): From Lasser et al. (2022). Due to Twitter privacy regulations, only tweet IDs can be given.~~ (Excluded due to missing documents.)