| --- |
| dataset_info: |
| features: |
| - name: unique_ID |
| dtype: large_string |
| - name: ID |
| dtype: large_string |
| - name: text_ID |
| dtype: int64 |
| - name: subcorpus |
| dtype: large_string |
| - name: author |
| dtype: large_string |
| - name: date |
| dtype: timestamp[ms] |
| - name: Text |
| dtype: large_string |
| - name: text_tokenised |
| dtype: large_string |
| - name: token_count |
| dtype: int64 |
| - name: similar_IDs |
| list: string |
| - name: annotation_prompt |
| dtype: large_string |
| - name: annotation_model |
| dtype: large_string |
| - name: annotation_temperature |
| dtype: float64 |
| - name: annotation_top_p |
| dtype: float64 |
| - name: annotation_max_model_len |
| dtype: int64 |
| - name: synthetic_labels |
| list: |
| - 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: 28892954 |
| num_examples: 3934 |
| - name: test |
| num_bytes: 3434382 |
| num_examples: 463 |
| - name: dev |
| num_bytes: 1751377 |
| num_examples: 232 |
| download_size: 12609414 |
| dataset_size: 35883436 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| - split: dev |
| path: data/dev-* |
| language: |
| - de |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # AfD-CCC |
| A corpus of short texts and parliamentary speech transcripts by the German political party "Alternative für Deutschland" (AfD) addressing the topic of climate change (CC). The collection process and some exemplary usecases of the corpus are outlined in the associated paper and master's thesis. All data sources are clearly demarked in the following section. |
|
|
| ## Data Sources |
| **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 (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) |
| - 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.) |
|
|
| ## Corpus Statistics |
|
|
| | **Text Domain** | **Texts** | **Tokens** | **Annotated texts** | **Total # synthetic labels** | |
| | :------------- | ----: | ------: | ------: | ------: | |
| | German Parl. | 2,284 | 220,894 | 2,197 | 12,332 | |
| | European Parl. | 668 | 48,025 | 659 | 3,017 | |
| | Press releases | 911 | 85,356 | 896 | 5,012 | |
| | ~~Twitter~~ | ~~1,880~~ | ~~54,592~~ | - | - | |
| | Telegram | 766 | 41,487 | 748 | 3,297 | |
| | **Total** | **4,629** | **395,762** | **4,500** | **23,658** | |
