Published November 30, 2025
| Version v1.0
Dataset
Open
CoDiet corpus
Authors/Creators
-
1.
Imperial College London
Contributors
Annotator (37):
-
Mahmud, Alisha1
-
Rajendra, Shruti1
-
Cano San José, Ainara3
-
Loupasaki, Katerina1
-
Theodoridis, Georgios4
-
Bizkarguenaga-Uribiarte, Maider5
-
Deda, Olga6
-
Alves Conde, Ricardo Diogo5
-
Embade, Nieves5
-
de Diego, Angela5
- Burguera, Nerea3
-
Rossiou, Danai4
-
Gil-Redondo, Rubén5
- Gallou, Domniki4
-
Tueros, Itziar3
-
Velmurugan, Rakesh1
-
Ghanali, Vasiliki4
-
Caro, Mercedes3
-
Pousinis, Petros4
-
Alektoridis, George4
-
Arranz, Sara3
- Nikolopoulos, Nasos4
-
Yan, Xingchen1
- Chokkapu, Niharika1
- Kow, Jonathan1
- Hill, Monica-Maria1
-
Fernandez Carrion, Rebeca7
- Crammond, Natasha1
-
Frost, Gary1
-
Dagbasi, Aygul1
- Simpson, Alexander1
- Yuen, Harry1
- Awoyomi, Anthony1
- Gika, Helen4
- Au Yeung, Chelsea1
- Guo, Junyi1
- Turkseven, Seyma1
Data curator (5):
-
1.
Imperial College London
-
2.
University of Nottingham
- 3. Fundación AZTI
-
4.
Aristotle University of Thessaloniki
-
5.
CIC bioGUNE
- 6. Aristotle University of Thessaloniki School of Medicine
-
7.
Universitat de València
Description
The CoDiet corpora created as part of a multi-institution collaboration to annotate biomedical literature.
The repository contains 5 datasets (zipped) in BioC-JSON formats:
- CoDiet-Gold-public, 450 full-text documents independently annotated by 2 individuals and any disagreements adjudicated by a third independent person)
- CoDiet-Gold-private, 50 full-text documents unannotated to be used for benchmarking on Codabench (see link on GitHub)
- CoDiet-Electrum, 4,445 full-text documents machine-annotated (with post-processing rules) using the Gold-public labels/vocabulary only
- CoDiet-Silver, 4,445 full-text documents machine-annotated (with post-processing rules) using existing deep learning, rule-based, and dictionary-based methods
- CoDiet-Bronze, 4,445 full-text documents machine-annotated (without post-processing rules) using existing deep learning, rule-based, and dictionary-based methods
If you use this resource, please cite the related works below.
Files
CoDiet-Bronze.zip
Files
(451.8 MB)
| Name | Size | |
|---|---|---|
|
md5:0589a5f33be161c87036d6db4e70956d
|
202.1 MB | Preview Download |
|
md5:71102f72cbe45d9b989bec6e7d5a8e45
|
125.4 MB | Preview Download |
|
md5:5840c88e462f00968d970c4e8ae50b87
|
579.2 kB | Preview Download |
|
md5:902b43e06178a933c516b975de2f342d
|
12.5 MB | Preview Download |
|
md5:31aa75787d533c37e1193f2aa6ebbb3b
|
111.2 MB | Preview Download |
Additional details
Related works
- Is metadata for
- Publication: 10.1101/2025.08.29.671515 (DOI)
Funding
- European Commission
- CoDiet - COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE 101084642
- UK Research and Innovation
- COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE (CoDiet) 10060437
- UK Research and Innovation
- COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE 10102628
Software
- Repository URL
- https://github.com/omicsNLP/CoDietCorpus
- Development Status
- Active