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@@ -49,10 +49,10 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 28172007
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  num_examples: 4629
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- download_size: 9784356
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- dataset_size: 28172007
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  configs:
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  - config_name: default
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  data_files:
@@ -71,10 +71,10 @@ A corpus of short texts and parliamentary speech transcripts by the German polit
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  **Documents are taken from the original repository at [github.com/discourse-lab/afd-ccc](https://github.com/discourse-lab/afd-ccc/).**
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  > 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.
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- - German Parliament speeches (2017-2022): Extracted from [OpenDiscourse](https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/FIKIBO ) (Richter et al., 2020)
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  - German Parliament speeches (2022-2025): Retrieved from Government records via the [DIP API](https://dip.bundestag.de).
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  - European Parliament speeches (2014-2024): Extracted from the [ParlLawSpeech](https://parllawspeech.org/) dataset, Version 1.0 (Schwabach et al., 2025)
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- - Telegram messages (2019-2025): Scraped from public channels using [FROG](https://journals.sagepub.com/doi/10.1177/20501579241244973 ) (Priming & Fröschl, 2024)
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  - Press releases (2017-2021): Extracted from press releases made available by Schaefer et al. (2023)
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  - ~~Tweets (2017-2022): From Lasser et al. (2022). Due to Twitter privacy regulations, only tweet IDs can be given.~~ (Excluded due to missing documents.)
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  dtype: string
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  splits:
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  - name: train
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+ num_bytes: 35883436
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  num_examples: 4629
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+ download_size: 12609414
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+ dataset_size: 35883436
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  configs:
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  - config_name: default
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  data_files:
 
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  **Documents are taken from the original repository at [github.com/discourse-lab/afd-ccc](https://github.com/discourse-lab/afd-ccc/).**
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  > 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.
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+ - German Parliament speeches (2017-2022): Extracted from [OpenDiscourse](https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/FIKIBO ) (Richter et al., 2020)
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  - German Parliament speeches (2022-2025): Retrieved from Government records via the [DIP API](https://dip.bundestag.de).
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  - European Parliament speeches (2014-2024): Extracted from the [ParlLawSpeech](https://parllawspeech.org/) dataset, Version 1.0 (Schwabach et al., 2025)
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+ - Telegram messages (2019-2025): Scraped from public channels using [FROG](https://journals.sagepub.com/doi/10.1177/20501579241244973 ) (Priming & Fröschl, 2024)
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  - Press releases (2017-2021): Extracted from press releases made available by Schaefer et al. (2023)
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  - ~~Tweets (2017-2022): From Lasser et al. (2022). Due to Twitter privacy regulations, only tweet IDs can be given.~~ (Excluded due to missing documents.)
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