Replication Data for: Assessing the cohesion of climate change coalitions: how to account for identity-related aspects?

Presented dataset is a replication file for the research aimed on assessing the cohesion of climate change coalitions using LT-LEDS as data and quantitative semantic similarity as methodology. The file represents a json-object with following items: 1. \"Country\": the list of countries under the analysis; 2. \"text\": the list of texts of respective countries' LT-LEDS; 3. \"text_no_nert\": the list of texts of respective countries' LT-LEDS with Location and GPE masked; 4. \"texts_chunked': the list of lists of texts_no_ner chunks. Each chunk was generated with sliding window of 1,000 charachters and 500 overlap; 5. \"chunks_embeddings\": the list of lists of vectorized texets_chunks; 6. \"text_vector\": the list of LT-LEDS texts' vectors for each country. With named enitites being replaced; 7. \"language\": the list of languages of the initial text; 8. \"X\": the list of corrected language bias vectors using the substraction of centroid; 9. \"vectors_INLP\": the list of corrected language bias vectors using the INLP; 10. \"vectors_PCA\": the list of corrected language bias vectors using the PCA; 11. \"texts_chunked_with_ner\": the list of lists of texts chunks. Each chunk was generated with sliding window of 1,000 charachters and 500 overlap; 12. \"chunks_embeddings_with_ner\": the list of lists of vectorized texts_chunks_with_ner; 13. \"text_vector_with_ner\": the list of LT-LEDS texts' vectors for each country. With named entities; 14. \"X_with_ner\": the list of of corrected language bias vectors using the substraction of centroid.