lcalvobartolome/rosie_mind_topics

ROSIE-MIND-Topics

ROSIE-MIND-Topics is a bilingual (English–Spanish) dataset of 875,230 passages containing topic modeling information derived from training a PLTM model on this data with 30 topics. It serves as the input dataset for the MIND pipeline, which detects multilingual and cultural discrepancies in question–answer pairs.

Each record includes the passage and corresponding full document, preprocessing outputs (lemmas, translations), and topic model features (topic distributions and dominant topic).

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Files

File	Description
rosie_mind_topics.parquet	Main dataset with document-level topic features
keys_EN.txt	Topic keywords in English
keys_ES.txt	Topic keywords in Spanish
tpc_labels.txt	Human-readable topic labels

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Key Columns

Column	Description
text	Document passage
full_doc	Full document from which the passage is extracted
lang	Language code (en or es)
lemmas / lemmas_tr	Lemmatized text (original / translated)
thetas	Topic distribution vector
top_k	Topic distribution vector with the top-k topics (k=10)
main_topic_thetas	Dominant topic

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Relation to MIND

This dataset is the preprocessed, topic-augmented source used by the MIND pipeline to generate the bilingual, discrepancy-annotated dataset ROSIE-MIND.

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Citation

If you use this dataset, please cite:

@inproceedings{calvo-bartolome2025discrepancy,
  title={{D}iscrepancy {D}etection at the {D}ata {L}evel: {T}oward {C}onsistent {M}ultilingual {Q}uestion {A}nswering},
  author={Lorena Calvo-Bartolom{\'e} and Val{\'e}rie Aldana and Karla Cantarero and Alonso Madro{\~n}al de Mesa and Jer{\'o}nimo Arenas-Garc{\'\i}a and Jordan Lee Boyd-Graber},
  booktitle={Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
  month={nov},
  year={2025},
  address={Suzhou, China},
  publisher={Association for Computational Linguistics}
}

And the original data source:

@article{mane2023practical,
  title={Practical guidance for the development of Rosie, a health education question-and-answer chatbot for new mothers},
  author={Mane, Heran Y and Doig, Amara Channell and Gutierrez, Francia Ximena Marin and Jasczynski, Michelle and Yue, Xiaohe and Srikanth, Neha Pundlik and Mane, Sourabh and Sun, Abby and Moats, Rachel Ann and Patel, Pragat and others},
  journal={Journal of Public Health Management and Practice},
  volume={29},
  number={5},
  pages={663--670},
  year={2023},
  publisher={LWW}
}

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Related Resources

• MIND Research Collection on Hugging Face
• MIND Pipeline GitHub Repository

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Creator

MIND Research Team Contact: [email protected]

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License

Released under the MIT License. Please cite both Calvo-Bartolomé et al. (2025) and Mane et al. (2023) when using this dataset.