| --- |
| dataset_info: |
| features: |
| - name: id |
| dtype: string |
| - name: direction |
| dtype: string |
| - name: source |
| dtype: string |
| - name: model_prediction |
| dtype: string |
| --- |
| |
| # UBC-NLP/AlexandriaX_Subtask_3_Test |
| |
| This dataset contains the test split for AlexandriaX Subtask 3, a dialectal Arabic MT evaluation task. |
| |
| Participants receive machine-translated outputs with source information. The goal is to detect and classify translation errors using LQM-inspired annotations. |
| |
| Each row contains: |
| |
| - `id` |
| - `direction` |
| - `source` |
| - `model_prediction` |
|
|
| ## Example |
|
|
| ```json |
| { |
| "id": "43571_1", |
| "direction": "ENG_UAE", |
| "source": "Come on, be with her. It is nonsense. You do not know if she's moaning or not, and if she's moaning, it's called nocturnal moaning. We still too early.", |
| "model_prediction": "يلا خلّك وياها، هذا خرابيط. انت ما تدري إذا هي تأن ولا لا، وإذا هي تأن يسمونه أنين ليلي. نحنا بعدنا وايد بدري." |
| } |
| ``` |
|
|
| ## Load with `datasets` |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("json", data_files={"test": "test.jsonl"}) |
| print(dataset["test"][0]) |
| ``` |
|
|
|
|