BrunoHays/Bangor-Miami-Spanish-English-Corpus
Bangor Miami Spanish-English Corpus The Bangor Miami Corpus is a naturalistic Spanish-English code-switching speech dataset collected by Jon Russell Herring at Bangor University. It captures spontaneous bilingual conversations recorded in Miami, Florida, involving proficient Spanish-English bilinguals across multiple speaker groups. Dataset description Total recordings 56 Total duration ~32 h Languages English (en), Spanish (es) Format MP3 audio… See the full description on the dataset page: https://huggingface.co/datasets/BrunoHays/Bangor-Miami-Spanish-English-Corpus.
Bangor Miami Spanish-English Corpus
The Bangor Miami Corpus is a naturalistic Spanish-English code-switching speech dataset collected by Jon Russell Herring at Bangor University. It captures spontaneous bilingual conversations recorded in Miami, Florida, involving proficient Spanish-English bilinguals across multiple speaker groups.
Dataset description
Each row is one full recording session and contains:
Spanish share distribution
spanish_share is computed as:
spanish_share = count(langid == "spa") / count(langid != "999")where langid comes from the word-level TSV annotations shipped with the corpus and 999 marks punctuation tokens. The corpus spans from near-monolingual English (< 2 %) to near-monolingual Spanish (> 95 %), with a mean of ~34 % Spanish words.
Configurations
default
All 56 recordings (~32 h total).
mixed
A ~2.5 h subset of 5 recordings restricted to genuinely mixed conversations where 20%–80% of content words are Spanish. Recordings are drawn from all four speaker groups and cover the full 0.2–0.8 Spanish-share range.
Source & citation
The original corpus was collected and transcribed at Bangor University. If you use this dataset, please cite the original work:
@misc{bangor_miami,
author = {Deuchar, Margaret and Davies, Peredur and Herring, Jon Russell
and Parafita Couto, Maria Carmen and Carter, Diana},
title = {Building bilingual corpora},
booktitle = {Bilingualism: Basic principles and beyond},
editor = {Thomas, Enlli and Mennen, Ineke},
year = {2014},
publisher = {Multilingual Matters},
address = {Bristol}
}The corpus is available under CC BY-SA 3.0.
