Create README.md

README.md

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+---
+license: unknown
+language:
+- de
+- en
+task_categories:
+- text-classification
+---
+
+# QT21 De-En MQM Task from the PEER Benchmark (Performance Evaluation of Edit Representations)
+
+Description from the [benchmark paper](https://arxiv.org/abs/2004.09143):
+> A subset of 1,800 examples of the De-En QT21 dataset, annotated with details about the edits performed, namely the reason why each edit was applied. Since the dataset contains a large number of edit labels, we select the classes that are present in at least 100 examples and generate a modified version of the dataset for our purposes. Examples where no post-edit has been performed are also ignored.
+
+The dataset was originally published at https://doi.org/10.5281/zenodo.4478266.
+
+## Citations
+
+PEER Benchmark:
+```bibtex
+@article{marrese-taylor-et-al-2021,
+    title = {Variational Inference for Learning Representations of Natural Language Edits},
+    volume = {35},
+    url = {https://ojs.aaai.org/index.php/AAAI/article/view/17598}, DOI = {10.1609/aaai.v35i15.17598},
+    number = {15},
+    journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
+    author = {Marrese-Taylor, Edison and Reid, Machel and Matsuo, Yutaka},
+    year = {2021},
+    month = {May},
+    pages = {13552-13560},
+}
+```
+
+Original data source:
+```bibtex
+@inproceedings{burchardt-2013-multidimensional,
+    title = "Multidimensional quality metrics: a flexible system for assessing translation quality",
+    author = "Lommel, Arle Richard  and
+      Burchardt, Aljoscha  and
+      Uszkoreit, Hans",
+    booktitle = "Proceedings of Translating and the Computer 35",
+    month = nov # " 28-29",
+    year = "2013",
+    address = "London, UK",
+    publisher = "Aslib",
+    url = "https://aclanthology.org/2013.tc-1.6/"
+}
+```