Datasets:
task_categories:
- translation
language:
- ha
- kr
- en
- fr
- sw
- swc
- ln
- nnd
- rhg
- ti
size_categories:
- 10K<n<100K
pretty_name: Gamayun kits
Gamayun Language Data Kits
There are more than 7,000 languages in the world, yet only a small proportion of them have language data presence in public. CLEAR Global's Gamayun kits are a starting point for developing audio and text corpora for languages without pre-existing data resources. We create parallel data for a language by translating a pre-compiled set of general-domain sentences in English. If audio data is needed, these translated sentences are recorded by native speakers.
To scale corpus production, we offer four dataset versions:
- Mini-kit of 5,000 sentences (
kit5k
) - Small-kit of 10,000 sentences (
kit10k
) - Medium-kit of 15,000 sentences (
kit15k
) - Large-kit of 30,000 sentences (
kit30k
)
For audio corpora developed using these kits refer to the official initiative website Gamayun portal.
Source sentences (core
)
Sentences in core
directory are in English, French and Spanish and are sourced from the Tatoeba repository. Sentence selection algorithm ensures representation of most frequently used words in the language. For more information, please refer to corepus-gen repository. etc
directories contain sentence id's as used in the Tatoeba corpus.
Parallel corpora (parallel
)
Translations of the kits are performed by professionals and volunteers of TWB's translator community. A complete list of translated sentences are:
Language | Pair | # Segments | Source |
---|---|---|---|
Hausa | English | 15,000 | Tatoeba |
Kanuri | English | 5,000 | Tatoeba |
Nande | French | 15,000 | Tatoeba |
Rohingya | English | 5,000 | Tatoeba |
Swahili (Coastal) | English | 5,000 | Tatoeba |
Swahili (Congolese) | French | 25,302 | Tatoeba |
Reference
More on Gamayun, language equity initiative
Gamayun kits are officially published in the Gamayun portal. Conditions for use are described in LICENSE.txt
.
If you need to cite Gamayun kits:
Alp Öktem, Muhannad Albayk Jaam, Eric DeLuca, Grace Tang
Gamayun – Language Technology for Humanitarian Response
In: 2020 IEEE Global Humanitarian Technology Conference (GHTC)
2020 October 29 - November 1; Virtual.
Link: https://ieeexplore.ieee.org/document/9342939