## 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_data…
