Update README.md

README.md

@@ -40,12 +40,13 @@ pretty_name: ACES
 ## Dataset Description
 
 - **Repository:** [ACES dataset repository](https://github.com/EdinburghNLP/ACES)
-- **Paper:** [arXiv](https://arxiv.org/abs/2210.15615)
+- **Paper:** [arXiv](https://arxiv.org/abs/2401.16313)
 
 
 ### Dataset Summary
 
 ACES consists of 36,476 examples covering 146 language pairs and representing challenges from 68 phenomena for evaluating machine translation metrics. We focus on translation accuracy errors and base the phenomena covered in our challenge set on the Multidimensional Quality Metrics (MQM) ontology. The phenomena range from simple perturbations at the word/character level to more complex errors based on discourse and real-world knowledge. 
+29.01.2024: We also release Span-ACES, which is an extension to the ACES dataset. The errors in incorrect-translation are explicitly marked in a <v>span</v> format.
 ### Supported Tasks and Leaderboards
 
 -Machine translation evaluation of metrics
@@ -71,6 +72,12 @@ An example from the ACES challenge set looks like the following:
 {'source': "Proper nutritional practices alone cannot generate elite performances, but they can significantly affect athletes' overall wellness.", 'good-translation': 'Las prácticas nutricionales adecuadas por sí solas no pueden generar rendimiento de élite, pero pueden afectar significativamente el bienestar general de los atletas.', 'incorrect-translation': 'Las prácticas nutricionales adecuadas por sí solas no pueden generar rendimiento de élite, pero pueden afectar significativamente el bienestar general de los jóvenes atletas.', 'reference': 'No es posible que las prácticas nutricionales adecuadas, por sí solas, generen un rendimiento de elite, pero puede influir en gran medida el bienestar general de los atletas .', 'phenomena': 'addition', 'langpair': 'en-es'}
 
 
+```
+
+An example from the Span-ACES challenge set looks like the following: 
+```
+{'source': "Proper nutritional practices alone cannot generate elite performances, but they can significantly affect athletes' overall wellness.", 'good-translation': 'Las prácticas nutricionales adecuadas por sí solas no pueden generar rendimiento de élite, pero pueden afectar significativamente el bienestar general de los atletas.', 'incorrect-translation': 'Las prácticas nutricionales adecuadas por sí solas no pueden generar rendimiento de élite, pero pueden afectar significativamente el bienestar general de los jóvenes atletas.', 'reference': 'No es posible que las prácticas nutricionales adecuadas, por sí solas, generen un rendimiento de elite, pero puede influir en gran medida el bienestar general de los atletas .', 'phenomena': 'addition', 'langpair': 'en-es', "incorrect-translation-annotated":"Las prácticas nutricionales adecuadas por sí solas no pueden generar rendimiento de élite, pero pueden afectar significativamente el bienestar general de los <v>jóvenes</v> atletas.","annotation-method":"annotate_word"}
+
 ```
 
 ### Data Fields
@@ -81,13 +88,15 @@ An example from the ACES challenge set looks like the following:
 - 'reference': the gold standard translation 
 - 'phenomena': the type of error or phenomena being studied in the example
 - 'langpair': the source language and the target language pair of the example
+- 'incorrect-translation-annotated': incorrect translation with annotated spans containing the phenomena
+- 'annotation-method': field describing how the annotation 
 
 Note that the _good-translation_ may not be free of errors but it is a better translation than the _incorrect-translation_
 
 ### Data Splits
 
 The ACES dataset has 1 split: _train_ which contains the challenge set. There are  36476 examples. 
-
+For simplicity, we uses _val_ for the Span-ACES dataset. Note, the examples in Span-ACES are identical to ACES.
 ## Dataset Creation
 
 ### Curation Rationale
@@ -141,19 +150,37 @@ The ACES dataset is Creative Commons Attribution Non-Commercial Share Alike 4.0
 
 ### Citation Information
 
-@inproceedings{amrhein-aces-2022,
-title = "{ACES}: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics",
-author = {Amrhein, Chantal  and
-  Moghe, Nikita and
-  Guillou, Liane},
-booktitle = "Seventh Conference on Machine Translation (WMT22)",
-month = dec,
-year = "2022",
-address = "Abu Dhabi, United Arab Emirates",
-publisher = "Association for Computational Linguistics",
-eprint = {2210.15615}
+```
+@inproceedings{amrhein-etal-2022-aces,
+    title = "{ACES}: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics",
+    author = "Amrhein, Chantal  and
+      Moghe, Nikita  and
+      Guillou, Liane",
+  
+    booktitle = "Proceedings of the Seventh Conference on Machine Translation (WMT)",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates (Hybrid)",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.wmt-1.44",
+    pages = "479--513",
 }
 
+
+```
+
+
+If using Span-ACES,
+```
+@misc{moghe2024machine,
+      title={Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets}, 
+      author={Nikita Moghe and Arnisa Fazla and Chantal Amrhein and Tom Kocmi and Mark Steedman and Alexandra Birch and Rico Sennrich and Liane Guillou},
+      year={2024},
+      eprint={2401.16313},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
 ### Contact
 [Chantal Amrhein](mailto:amrhein@cl.uzh.ch) and [Nikita Moghe](mailto:nikita.moghe@ed.ac.uk) and [Liane Guillou](mailto:lguillou@ed.ac.uk)