Datasets:
Source code notebooks
This folder contains the notebooks used to construct and analyze Community Notes BR. They are provided as reproducibility and inspection material for the public dataset.
The notebooks were originally developed in Google Colab/local notebook sessions. Outputs and execution counters were stripped before publication, and embedded credentials were removed. To rerun the full pipeline, users must configure their own credentials where needed and have access to the upstream Community Notes public data, optional X API hydration, and GPU resources for the embedding/topic modeling/NER stages.
Notebook order
01_etl_snapshot.ipynb
Downloads/organizes the upstream Community Notes snapshot and materializes typed analytical tables.02_portuguese_filter.ipynb
Builds the Portuguese subset using language identification and joins ratings and latest note status.03_topic_modeling_macrothemes.ipynb
Generates semantic embeddings, topic clusters, LLM-constrained labels, and macrothemes.04_named_entity_recognition.ipynb
Extracts named entities with GLiNER, regex extractors, canonical dictionaries, and overlap resolution.05_matrix_factorization_scoring.ipynb
Reproduces the Community Notes matrix-factorization scoring fields over the Portuguese subset.06_helpfulness_classification.ipynb
Contains exploratory predictive modeling and interpretability experiments over note helpfulness/consensus.07_udpipe_bosque_enrichment_colab.ipynb
Optional Google Colab notebook that creates an automatic Universal Dependencies syntax layer with UDPipe Bosque and uploads it tosyntax_ud_bosque/in the existing Hugging Face dataset repository.
Notes
- Tweet text is not redistributed. Only tweet identifiers appear in the dataset.
- The notebooks are intended as transparent research code, not as a packaged one-command production pipeline.
- The released Parquet files are the authoritative dataset artifacts.
- Optional derived layers generated by external models may have separate license metadata from the CC0 core dataset.