npedrazzini/NewsBERT_19thc_ms_news_embeddings

Article-level embeddings of historical British newspaper articles mentioning murder and suicide

This repository contains article-level embeddings of a dataset of historical English newspaper articles from the LwM and HMD14 collections (1800-1920), containing mentions of murder and suicide.

Related Model

• npedrazzini/NewsBERT
  All article-level embeddings in this dataset were generated using this masked language model.
  Mean-pooled CLS embeddings were extracted using the final encoder layer.

Related Dataset

• npedrazzini/19thc_ms_news
  The text of the articles and the associated metadata are from the datasets murder.csv and suicide.csv there.

Files

1. murder_suicide_similarity_results.csv

A concatenation of murder.csv and suicide.csv, augmented with the column most_similar. For each article, most_similar contains the row indices of the 100 most similar other articles computed via mean-pooled embeddings from a domain-adapted BERT model (NewsBERT).

2. article_level_embeddings/murder_suicide_embeddings.pt

Containing the article-level embeddings of each articles in murder_suicide_similarity_results.csv. It's a PyTorch tensor of shape: [num_articles, embedding_dim]

3. article_level_embeddings/murder_suicide_metadata.json

A list of dictionaries of the form:

{
  "id": "article_identifier",
  "index": 0
}

Mapping each article in murder_suicide_similarity_results.csv to its embedding.