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SemEval2025-Task11: Submission Formatting Check and Evaluation Instructions

This repository contains the necessary files and instructions for SemEval2025-Task11 participants to check the formatting of their submissions and evaluate them.

1. Set up the required environment

Install the required dependencies by running:

pip install -r requirements.txt

2. Prepare your submission file

Ensure that your submission file is properly structured and contains the required predictions using the language code as per the task. The languages are:

afr, arq, amh, arb, ary, eng, esp, deu, hau, hin, ibo, ind, jav, kin, mar, orm, ptbr, ptm, pcm, ron, rus, som, sun, swa, swe, tat, tir, tsn, tso, ukr, xho, yor, zho, zul

3. Verify the submission format

To ensure your submission is valid and meets the requirements, use the check_submission.py script. This will ensure that your file follows the task’s requirements. Check this guide for more information about participation and submission.

python check_submission.py -p dev -s <path_to_your_submission_file>

This script checks whether:

  • the structure and the formatting are correct,
  • the necessary predictions (per language) are included,
  • the files comply with the shared task’s requirements in general.

Make sure that this script runs without errors before proceeding with the evaluation.

- Examples of properly formatted files: Track A (English) and Track B (German))

4. Run the evaluation

Once the submission passes the format validation, you can evaluate its performance by running the evaluation script provided in the Jupyter notebook check_submission.ipynb.

Running the notebook

  • Open the check_submission.ipynb file in a Jupyter environment.
  • Make sure to set the correct file paths for your submission and test data.
  • Run the cells to compute the evaluation metrics (e.g., accuracy, precision, recall, F1 scores).

Alternatively, if you're running it as a script, make sure thta you have the necessary parameters (e.g., the right paths to your files).

5. Review the evaluation results

After the evaluation, the script will output various metrics (see below, example for German), such as accuracy, precision, recall, and F1 scores for each language.

image

Note This is an example for Track A.

6. Zip the submission file

  • If you want to automatically zip the file after validation and evaluation, add this flag (see below): --zip_for_submission \
image
  • The script zips the submission file automatically and your file will be ready to upload! The following message will confirm that your file is zipped:

Zipped file: pred_<language_code>_<task>.zip is ready for upload in the Codalab submission page.

7 Submit the zipped file

  • Upload the zipped file to the Codabench as your final submission.