|
|
{ |
|
|
"name": "proxann_data", |
|
|
"version": "1.1.0", |
|
|
"license": "mit", |
|
|
"language": "en", |
|
|
"pretty_name": "PROXANN Data", |
|
|
"description": "Data used for training and evaluation in the 'PROXANN: Use-Oriented Evaluations of Topic Models and Document Clustering' paper. The files contain the original metadata from Merity et al. (2017) (Wiki) and Adler & Wilkerson (2008) (Bills). The preprocessed version (tokenized_text) comes from Hoyle et al. (2022), using their 15,000-word vocabulary version. Contextualized embeddings were generated using the all-MiniLM-L6-v2 model, with code available in the PROXANN repository.", |
|
|
"size_categories": ["10K<n<100K"], |
|
|
"splits": { |
|
|
"bills_train": { |
|
|
"filename": "bills_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet", |
|
|
"num_rows": 32661, |
|
|
"description": "Congressional bills (Adler & Wilkerson, 2008) with summaries, topics, and 384-dim MiniLM embeddings." |
|
|
}, |
|
|
"bills_test": { |
|
|
"filename": "bills_test.metadata.parquet", |
|
|
"num_rows": 15242, |
|
|
"description": "Bills test split without embeddings (metadata only)." |
|
|
}, |
|
|
"wiki_train": { |
|
|
"filename": "wiki_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet", |
|
|
"num_rows": 14290, |
|
|
"description": "Wikipedia articles (Merity et al., 2017) with categories and 384-dim MiniLM embeddings." |
|
|
}, |
|
|
"wiki_test": { |
|
|
"filename": "wiki_test.metadata.parquet", |
|
|
"num_rows": 8024, |
|
|
"description": "Wikipedia test split without embeddings (metadata only)." |
|
|
} |
|
|
}, |
|
|
"schemas": { |
|
|
"bills_train": { |
|
|
"columns": { |
|
|
"id": { "type": "string", "description": "Unique identifier." }, |
|
|
"summary": { "type": "string", "description": "Short summary of the bill." }, |
|
|
"topic": { "type": "string", "description": "Primary topic label." }, |
|
|
"subtopic": { "type": "string", "description": "Secondary topic label." }, |
|
|
"subjects_top_term": { "type": "string", "description": "Top subject term for the bill." }, |
|
|
"date": { "type": "string", "description": "Document date (ISO-8601 format)." }, |
|
|
"tokenized_text": { "type": "list[string]", "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary." }, |
|
|
"embeddings": { "type": "list[float]", "length": 384, "description": "Sentence embedding (MiniLM-L6-v2). Absent in test split." } |
|
|
} |
|
|
}, |
|
|
"bills_test": { |
|
|
"columns": { |
|
|
"id": { "type": "string", "description": "Unique identifier." }, |
|
|
"summary": { "type": "string", "description": "Short summary of the bill." }, |
|
|
"topic": { "type": "string", "description": "Primary topic label." }, |
|
|
"subtopic": { "type": "string", "description": "Secondary topic label." }, |
|
|
"subjects_top_term": { "type": "string", "description": "Top subject term for the bill." }, |
|
|
"date": { "type": "string", "description": "Document date (ISO-8601 format)." }, |
|
|
"tokenized_text": { "type": "list[string]", "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary." } |
|
|
} |
|
|
}, |
|
|
"wiki_train": { |
|
|
"columns": { |
|
|
"id": { "type": "string", "description": "Unique identifier." }, |
|
|
"text": { "type": "string", "description": "Article text (raw or normalized)." }, |
|
|
"supercategory": { "type": "string", "description": "High-level category." }, |
|
|
"category": { "type": "string", "description": "Primary category." }, |
|
|
"subcategory": { "type": "string", "description": "Secondary category." }, |
|
|
"page_name": { "type": "string", "description": "Wikipedia page title." }, |
|
|
"tokenized_text": { "type": "list[string]", "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary." }, |
|
|
"embeddings": { "type": "list[float]", "length": 384, "description": "Sentence embedding (MiniLM-L6-v2). Absent in test split." } |
|
|
} |
|
|
}, |
|
|
"wiki_test": { |
|
|
"columns": { |
|
|
"id": { "type": "string", "description": "Unique identifier." }, |
|
|
"text": { "type": "string", "description": "Article text (raw or normalized)." }, |
|
|
"supercategory": { "type": "string", "description": "High-level category." }, |
|
|
"category": { "type": "string", "description": "Primary category." }, |
|
|
"subcategory": { "type": "string", "description": "Secondary category." }, |
|
|
"page_name": { "type": "string", "description": "Wikipedia page title." }, |
|
|
"tokenized_text": { "type": "list[string]", "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary." } |
|
|
} |
|
|
} |
|
|
}, |
|
|
"resources": { |
|
|
"vocabularies": [ |
|
|
{ |
|
|
"filename": "data_with_embeddings/vocabs/bills_vocab.json", |
|
|
"description": "Vocabulary for the Bills corpus." |
|
|
}, |
|
|
{ |
|
|
"filename": "data_with_embeddings/vocabs/wiki_vocab.json", |
|
|
"description": "Vocabulary for the Wiki corpus." |
|
|
} |
|
|
] |
|
|
}, |
|
|
"data_stats": { |
|
|
"table": [ |
|
|
{ "split": "bills_train", "file": "bills_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet", "rows": 32661, "description": "Congressional bills with summaries, topics, and 384-dim embeddings." }, |
|
|
{ "split": "bills_test", "file": "bills_test.metadata.parquet", "rows": 15242, "description": "Bills test split without embeddings (metadata only)." }, |
|
|
{ "split": "wiki_train", "file": "wiki_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet", "rows": 14290, "description": "Wikipedia articles with categories and 384-dim embeddings." }, |
|
|
{ "split": "wiki_test", "file": "wiki_test.metadata.parquet", "rows": 8024, "description": "Wikipedia test split without embeddings (metadata only)." } |
|
|
] |
|
|
}, |
|
|
"creator": "Alexander Miserlis Hoyle, Lorena Calvo-Bartolomé, Jordan Boyd-Graber, Philip Resnik", |
|
|
"source": { |
|
|
"provider": "Wikipedia", |
|
|
"type": "paper", |
|
|
"note": "We use the curated versions from 'Are Neural Topic Models Broken?' (Hoyle et al., 2022).", |
|
|
"repository": "https://github.com/ahoho/topics" |
|
|
}, |
|
|
"dataset_type": "text", |
|
|
"tags": ["parquet", "text", "topic-modeling", "bills", "proxann", "english", "vocabulary"], |
|
|
"task_categories": ["unsupervised-learning", "topic-modeling", "clustering"], |
|
|
"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} }" |
|
|
} |
|
|
|
