| { |
| "name": "proxann_topic_models", |
| "version": "1.0.0", |
| "license": "mit", |
| "language": "en", |
| "pretty_name": "ProxAnn Topic Models", |
| "description": "Topic models used in the 'PROXANN: Use-Oriented Evaluations of Topic Models and Document Clustering' paper. Includes 50-topic LDA-MALLET and CTM models from Hoyle et al. (2022), and 50-topic BERTopic models trained with proxann.topic_models.train.BERTopicTrainer (MiniLM-L6-v2 embeddings) for the Merity et al. (2017) (Wiki) and Adler & Wilkerson (2008) (Bills), available at https://huggingface.co/datasets/lcalvobartolome/proxann_data", |
| "size_categories": ["n<1K"], |
| "dataset_type": "model-artifacts", |
| "tags": [ |
| "topic-modeling", |
| "bertopic", |
| "ctm", |
| "lda", |
| "mallet", |
| "proxann", |
| "english", |
| "models" |
| ], |
| "creator": "Alexander Miserlis Hoyle, Lorena Calvo-Bartolomé, Jordan Boyd-Graber, Philip Resnik", |
| "structure": { |
| "root": "model-runs/", |
| "layout": { |
| "bills": ["bertopic", "ctm", "mallet"], |
| "wiki": ["bertopic", "ctm", "mallet"] |
| } |
| }, |
| "splits": { |
| "bills_bertopic": { |
| "path": "model-runs/bills/bertopic/", |
| "description": "50-topic BERTopic model trained on Bills. Follows ProxAnn proxann.topic_models.train.BERTopicTrainer schema." |
| }, |
| "bills_ctm": { |
| "path": "model-runs/bills/ctm/", |
| "description": "50-topic CTM model trained on Bills from Hoyle et al. (2022)." |
| }, |
| "bills_mallet": { |
| "path": "model-runs/bills/mallet/", |
| "description": "50-topic LDA-MALLET model trained on Bills from Hoyle et al. (2022)." |
| }, |
| "wiki_bertopic": { |
| "path": "model-runs/wiki/bertopic/", |
| "description": "50-topic BERTopic model trained on Wiki. Follows ProxAnn proxann.topic_models.train.BERTopicTrainer schema." |
| }, |
| "wiki_ctm": { |
| "path": "model-runs/wiki/ctm/", |
| "description": "50-topic CTM model trained on Wiki from Hoyle et al. (2022)." |
| }, |
| "wiki_mallet": { |
| "path": "model-runs/wiki/mallet/", |
| "description": "50-topic LDA-MALLET model trained on Wiki from Hoyle et al. (2022)." |
| } |
| }, |
| "artifacts_schema": { |
| "bertopic": { |
| "required": ["betas.npy", "thetas.npz"], |
| "optional": [ |
| "alphas.npy", |
| "betas.npy", |
| "bow.npz", |
| "config.yaml", |
| "document_topic_info.csv", |
| "thetas.npz", |
| "thetasDist.pdf", |
| "tpc_descriptions.txt", |
| "vocab.txt" |
| ], |
| "notes": "model.pickle is a pickled BERTopic object; auxiliary files document topics, c-TF-IDF vocab/matrices, diagnostics." |
| }, |
| "ctm": { |
| "required": ["beta.npy", "train.theta.npy"], |
| "optional": ["config.yml", "test.theta.npy", "topics.txt"] |
| }, |
| "mallet": { |
| "required": ["beta.npy", "doctopics.npz.npy"], |
| "optional": ["state.mallet.gz", "topickeys.txt", "inferencer.mallet", "metrics.json", "topics.txt", "train.theta.npy", "test.theta.txt", "config.yml", "beta.npy"] |
| } |
| }, |
| "source": { |
| "provider": "ProxAnn", |
| "type": "models", |
| "note": "CTM and MALLET models are from Hoyle et al. (2022)." |
| }, |
| "citation": "@inproceedings{hoyle-etal-2025-proxann, title = {PROXANN: Use-Oriented Evaluations of Topic Models and Document Clustering}, author = {Hoyle, Alexander Miserlis and Calvo-Bartolomé, Lorena and Boyd-Graber, Jordan Lee and Resnik, Philip}, booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, year = {2025}, address = {Vienna, Austria}, publisher = {Association for Computational Linguistics}, url = {https://aclanthology.org/2025.acl-long.772/}, doi = {10.18653/v1/2025.acl-long.772} }" |
| } |
|
|
