metadata

license: apache-2.0
language:
  - en
  - de
  - ru
  - zh
tags:
  - mt-evaluation
  - WMT
  - MQM
size_categories:
  - 100K<n<1M

Dataset Summary

This dataset contains all MQM human annotations from previous WMT Metrics shared tasks and the MQM annotations from Experts, Errors, and Context in a form of error spans.

The data is organised into 8 columns:

src: input text
mt: translation
ref: reference translation
annotations: List of error spans (dictionaries with 'start', 'end', 'severity', 'text')
lp: language pair

Note that this is not an official release of the data and the original data can be found here.

Also, while en-ru was annotated by Unbabel, en-de and zh-en was annotated by Google. This means that for en-de and zh-en you will only find minor and major errors while for en-ru you can find a few critical errors.

Python usage:

from datasets import load_dataset
dataset = load_dataset("RicardoRei/wmt-mqm-error-spans", split="train")

There is no standard train/test split for this dataset but you can easily split it according to year, language pair or domain. E.g. :

# split by LP
data = dataset.filter(lambda example: example["lp"] == "en-de")

Citation Information

If you use this data please cite the following works: