Text · dataset · 2022
gmnlp/tico19
Listed in Hugging Face Datasets
Description
In response to the on-going crisis, several academic (Carnegie Mellon University, George Mason University, Johns Hopkins University) and industry (Amazon, Appen, Facebook, Google, Microsoft, Translated) partners have partnered with the Translators without Borders to prepare COVID-19 materials for a variety of the world’s languages to be used by professional translators and for training state-of-the-art Machine Translation (MT) models.
The focus is on making emergency and crisis-related content available in as many languages as possible. The collected, curated and translated content across nearly 90 languages will be available to the professional translation as well the MT research community.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/gmnlp/tico19 ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/gmnlp/tico19 ↗
metadata API · from Hugging Face
Topics
- Stated by source
- text
- From keywords
- Computer Science & AI
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | gmnlp/tico19 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:text | source · Hugging Face | connector:huggingface@1.0.0 | |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |