EC40 MNMT Dataset

GitHub: https://github.com/Smu-Tan/ZS-NMT-Variations/tree/main

EC40 is an English-Centric Multilingual Machine Translation Dataset. It has over 60 Million sentences including 40 Languages across 5 Language Families.

Note: The dataset is cleaned and pre-processed using tools like Moses, for more details, please refer to the paper.

Features:

1. We carefully balanced the dataset across resources and languages by strictly maintaining each resource group containing 5 language families and each family consists of 8 representative languages.
2. EC40 covers a wide spectrum of resource availability, ranging from High(5M) to Medium(1M), Low(100K), and extremely-Low(50K) resources.
3. In total, there are 80 English-centric directions for training and 1,640 directions (including all supervised and ZS directions) for evaluation.
4. We make use of Ntrex-128 and Flores-200 as our validation and test set.

---

Languages and Family

Family	Languges
Germanic	Geman, Dutch, Swedish, Danish, Afrikaans, Luxembourgish, Norwegian, Icelandic
Romance	French, Spanish, Italian, Portuguese, Romanian, Occitan, Asturian, Catalan
Slavic	Russian, Czech, Polish, Bulgarian, Ukrainian, Serbian, Belarusian, Bosnian
Indo-Aryan	Hindi, Bengali, Kannada, Marathi, Sindhi, Gujarati, Nepali, Urdu

---

Dataset Stats

Resource	Languages	Size
High	de, nl, fr, es, ru, cs, hi, bn, ar, he	5M
Medium	sv, da, it, pt, pl, bg, kn, mr, mt, ha	1M
Low	af, lb, ro, oc, uk, sr, sd, gu, ti, am	100k
Extremely-Low	no, is, ast, ca, be, bs, ne, ur, kab, so	50k

---

Build Fairseq dataset (Shard->to avoid RAM OOM)

Read toolkit/build_fairseq_sharded_dataset.sh

---

Train mTransformer-Large baseline

Read toolkit/train-EC40-mTrans-large.sh