Update README.md

README.md

@@ -23,5 +23,55 @@ configs:
       - split: test
         path: data/ru-en.json
 ---
+## IdiomsInCtx-MT Dataset
 
+This repository contains the IdiomsInCtx-MT dataset used in our ACL 2024 paper: [The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities]([https://arxiv.org/abs/2405.20089](https://aclanthology.org/2024.acl-long.336/)). See [this GitHub repo](https://github.com/amazon-science/idioms-incontext-mt) for the origin of the data.
+
+### Description
+The dataset consists of idiomatic expressions in context and their human-written translations. There are 1000 translations per direction. The dataset covers 2 language pairs (English-German and English-Russian) with 3 translation directions:
+1. English → German (`en-de`)
+2. German → English (`de-en`)
+3. Russian → English (`ru-en`)
+
+The dataset is designed to evaluate the performance of large language models and machine translation systems in handling idiomatic expressions, which can be challenging due to their non-literal meanings.
+
+### Usage
+
+```python
+>>> dataset = load_dataset("davidstap/IdiomsInCtx-MT", "de-en") # available directions: de-en, en-de, ru-en
+>>> dataset
+DatasetDict({
+test: Dataset({
+features: ['de', 'en'],
+num_rows: 1000
+})
+})
+>>> dataset['test']['de'][0]
+'Es ist mir wurst, wenn du nicht kommst.'
+>>> dataset['test']['en'][0]
+"I couldn't care less if you don't come."
+```
+
+### Citation
+If you use this dataset in your work, please cite our paper:
+
+```
+@inproceedings{stap-etal-2024-fine,
+title = "The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing {LLM} Abilities",
+author = "Stap, David and
+Hasler, Eva and
+Byrne, Bill and
+Monz, Christof and
+Tran, Ke",
+booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
+year = "2024",
+publisher = "Association for Computational Linguistics",
+url = "https://aclanthology.org/2024.acl-long.336",
+pages = "6189--6206",
+}
+```
+
+### License
+
+This dataset is licensed under the CC-BY-NC-4.0 License.