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--- |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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- ar |
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- bg |
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- de |
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- el |
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- it |
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- pl |
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- ro |
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- uk |
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tags: |
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- subjectivity-detection |
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- news-articles |
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viewer: true |
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pretty_name: 'CLEF 2025 CheckThat! Lab - Task 1: Subjectivity in News Articles' |
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size_categories: |
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- 1K<n<10K |
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configs: |
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- config_name: arabic |
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data_files: |
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- split: train |
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path: |
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- "data/arabic/train_ar.tsv" |
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- split: dev |
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path: |
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- "data/arabic/dev_ar.tsv" |
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- split: dev_test |
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path: |
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- "data/arabic/dev_test_ar.tsv" |
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- split: test |
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path: |
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- "data/arabic/test_ar_unlabeled.tsv" |
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sep: "\t" |
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- config_name: bulgarian |
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data_files: |
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- split: train |
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path: |
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- "data/bulgarian/train_bg.tsv" |
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- split: dev |
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path: |
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- "data/bulgarian/dev_bg.tsv" |
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- split: dev_test |
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path: |
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- "data/bulgarian/dev_test_bg.tsv" |
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sep: "\t" |
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- config_name: english |
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data_files: |
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- split: train |
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path: |
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- "data/english/train_en.tsv" |
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- split: dev |
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path: |
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- "data/english/dev_en.tsv" |
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- split: dev_test |
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path: |
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- "data/english/dev_test_en.tsv" |
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- split: test |
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path: |
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- "data/english/test_en_unlabeled.tsv" |
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sep: "\t" |
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- config_name: german |
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data_files: |
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- split: train |
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path: |
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- "data/german/train_de.tsv" |
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- split: dev |
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path: |
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- "data/german/dev_de.tsv" |
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- split: dev_test |
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path: |
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- "data/german/dev_test_de.tsv" |
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- split: test |
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path: |
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- "data/german/test_de_unlabeled.tsv" |
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sep: "\t" |
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- config_name: greek |
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data_files: |
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- split: test |
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path: |
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- "data/greek/test_gr_unlabeled.tsv" |
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sep: "\t" |
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- config_name: italian |
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data_files: |
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- split: train |
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path: |
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- "data/italian/train_it.tsv" |
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- split: dev |
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path: |
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- "data/italian/dev_it.tsv" |
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- split: dev_test |
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path: |
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- "data/italian/dev_test_it.tsv" |
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- split: test |
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path: |
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- "data/italian/test_it_unlabeled.tsv" |
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sep: "\t" |
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- config_name: multilingual |
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data_files: |
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- split: dev_test |
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path: |
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- "data/multilingual/dev_test_multilingual.tsv" |
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- split: test |
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path: |
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- "data/multilingual/test_multilingual_unlabeled.tsv" |
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sep: "\t" |
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- config_name: polish |
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data_files: |
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- split: test |
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path: |
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- "data/polish/test_pol_unlabeled.tsv" |
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sep: "\t" |
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- config_name: romanian |
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data_files: |
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- split: test |
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path: |
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- "data/romanian/test_ro_unlabeled.tsv" |
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sep: "\t" |
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- config_name: ukrainian |
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data_files: |
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- split: test |
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path: |
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- "data/ukrainian/test_ukr_unlabeled.tsv" |
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sep: "\t" |
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--- |
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# CLEF‑2025 CheckThat! Lab Task 1: Subjectivity in News Articles |
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Systems are challenged to distinguish whether a sentence from a news article expresses the subjective view of the author behind it or presents an objective view on the covered topic instead. |
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This is a binary classification tasks in which systems have to identify whether a text sequence (a sentence or a paragraph) is subjective (**SUBJ**) or objective (**OBJ**). |
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The task comprises three settings: |
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- **Monolingual**: train and test on data in a given language L |
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- **Multilingual**: train and test on data comprising several languages |
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- **Zero-shot**: train on several languages and test on unseen languages |
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## Datasets statistics |
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* **English** |
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- train: 830 sentences, 532 OBJ, 298 SUBJ |
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- dev: 462 sentences, 222 OBJ, 240 SUBJ |
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- dev-test: 484 sentences, 362 OBJ, 122 SUBJ |
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* **Italian** |
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- train: 1613 sentences, 1231 OBJ, 382 SUBJ |
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- dev: 667 sentences, 490 OBJ, 177 SUBJ |
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- dev-test - 513 sentences, 377 OBJ, 136 SUBJ |
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* **German** |
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- train: 800 sentences, 492 OBJ, 308 SUBJ |
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- dev: 491 sentences, 317 OBJ, 174 SUBJ |
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- dev-test - 337 sentences, 226 OBJ, 111 SUBJ |
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* **Bulgarian** |
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- train: 729 sentences, 406 OBJ, 323 SUBJ |
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- dev: 467 sentences, 175 OBJ, 139 SUBJ |
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- dev-test - 250 sentences, 143 OBJ, 107 SUBJ |
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- test: TBA |
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* **Arabic** |
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- train: 2,446 sentences, 1391 OBJ, 1055 SUBJ |
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- dev: 742 sentences, 266 OBJ, 201 SUBJ |
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- dev-test - 748 sentences, 425 OBJ, 323 SUBJ |
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## Input Data Format |
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The data will be provided as a TSV file with three columns: |
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> sentence_id <TAB> sentence <TAB> label |
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Where: <br> |
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* sentence_id: sentence id for a given sentence in a news article<br/> |
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* sentence: sentence's text <br/> |
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* label: *OBJ* and *SUBJ* |
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**Note:** For English, the training and development (validation) sets will also include a fourth column, "solved_conflict", whose boolean value reflects whether the annotators had a strong disagreement. |
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**Examples:** |
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> b9e1635a-72aa-467f-86d6-f56ef09f62c3 Gone are the days when they led the world in recession-busting SUBJ |
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> |
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> f99b5143-70d2-494a-a2f5-c68f10d09d0a The trend is expected to reverse as soon as next month. OBJ |
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## Output Data Format |
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The output must be a TSV format with two columns: sentence_id and label. |
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## Evaluation Metrics |
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This task is evaluated as a classification task using F1-macro measure. Other metrics include Precision, Recall, and F1 of the SUBJ class and the macro-averaged scores. |
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## Scorers |
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The code base with the scorer script is available on the original GitLab repository - [clef2025-checkthat-lab-task1](https://gitlab.com/checkthat_lab/clef2025-checkthat-lab/-/tree/main/task1). |
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To evaluate the output of your model which should be in the output format required, please run the script below: |
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> python evaluate.py -g dev_truth.tsv -p dev_predicted.tsv |
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where dev_predicted.tsv is the output of your model on the dev set, and dev_truth.tsv is the golden label file provided by authors. |
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The file can be used also to validate the format of the submission, simply use the provided test file as gold data. |
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## Baselines |
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The code base with the script to train the baseline model is provided in the original GitLab repository - [clef2025-checkthat-lab-task1](https://gitlab.com/checkthat_lab/clef2025-checkthat-lab/-/tree/main/task1). |
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The script can be run as follow: |
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> python baseline.py -trp train_data.tsv -ttp dev_data.tsv |
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where train_data.tsv is the file to be used for training and dev_data.tsv is the file on which doing the prediction. |
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The baseline is a logistic regressor trained on a Sentence-BERT multilingual representation of the data. |
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## Leaderboard |
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The leaderboard is available in the original GitLab repository - [clef2025-checkthat-lab-task1](https://gitlab.com/checkthat_lab/clef2025-checkthat-lab/-/tree/main/task1). |
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## Related Work |
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The dataset was used in [AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles](https://huggingface.co/papers/2507.11764). |
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Information regarding the annotation guidelines can be found in the following papers: |
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> Federico Ruggeri, Francesco Antici, Andrea Galassi, aikaterini Korre, Arianna Muti, Alberto Barron, _[On the Definition of Prescriptive Annotation Guidelines for Language-Agnostic Subjectivity Detection](https://ceur-ws.org/Vol-3370/paper10.pdf)_, in: Proceedings of Text2Story — Sixth Workshop on Narrative Extraction From Texts, CEUR-WS.org, 2023, Vol 3370, pp. 103 - 111 |
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> Francesco Antici, Andrea Galassi, Federico Ruggeri, Katerina Korre, Arianna Muti, Alessandra Bardi, Alice Fedotova, Alberto Barrón-Cedeño, _[A Corpus for Sentence-level Subjectivity Detection on English News Articles](https://arxiv.org/abs/2305.18034)_, in: Proceedings of Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING-LREC), 2024 |
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> Suwaileh, Reem, Maram Hasanain, Fatema Hubail, Wajdi Zaghouani, and Firoj Alam. "ThatiAR: Subjectivity Detection in Arabic News Sentences." arXiv preprint arXiv:2406.05559 (2024). |
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> |
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## Credits |
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### ECIR 2025 |
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Alam, F. et al. (2025). The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval. In: Hauff, C., et al. Advances in Information Retrieval. ECIR 2025. Lecture Notes in Computer Science, vol 15576. Springer, Cham. https://doi.org/10.1007/978-3-031-88720-8_68 |
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```bibtex |
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@InProceedings{10.1007/978-3-031-88720-8_68, |
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author="Alam, Firoj |
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and Stru{\ss}, Julia Maria |
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and Chakraborty, Tanmoy |
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and Dietze, Stefan |
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and Hafid, Salim |
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and Korre, Katerina |
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and Muti, Arianna |
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and Nakov, Preslav |
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and Ruggeri, Federico |
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and Schellhammer, Sebastian |
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and Setty, Vinay |
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and Sundriyal, Megha |
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and Todorov, Konstantin |
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and V., Venktesh", |
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editor="Hauff, Claudia |
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and Macdonald, Craig |
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and Jannach, Dietmar |
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and Kazai, Gabriella |
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and Nardini, Franco Maria |
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and Pinelli, Fabio |
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and Silvestri, Fabrizio |
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and Tonellotto, Nicola", |
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title="The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval", |
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booktitle="Advances in Information Retrieval", |
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year="2025", |
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publisher="Springer Nature Switzerland", |
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address="Cham", |
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pages="467--478", |
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isbn="978-3-031-88720-8", |
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} |
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``` |
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### CLEF 2025 LNCS |
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```bibtex |
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@InProceedings{clef-checkthat:2025-lncs, |
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author = { |
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Alam, Firoj |
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and Struß, Julia Maria |
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and Chakraborty, Tanmoy |
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and Dietze, Stefan |
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and Hafid, Salim |
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and Korre, Katerina |
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and Muti, Arianna |
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and Nakov, Preslav |
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and Ruggeri, Federico |
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and Schellhammer, Sebastian |
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and Setty, Vinay |
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and Sundriyal, Megha |
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and Todorov, Konstantin |
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and Venktesh, V |
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}, |
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title = {Overview of the {CLEF}-2025 {CheckThat! Lab}: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval}, |
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editor = { |
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Carrillo-de-Albornoz, Jorge and |
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Gonzalo, Julio and |
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Plaza, Laura and |
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García Seco de Herrera, Alba and |
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Mothe, Josiane and |
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Piroi, Florina and |
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Rosso, Paolo and |
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Spina, Damiano and |
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Faggioli, Guglielmo and |
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Ferro, Nicola |
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}, |
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booktitle = {Experimental IR Meets Multilinguality, Multimodality, and Interaction. Proceedings of the Sixteenth International Conference of the CLEF Association (CLEF 2025)}, |
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year = {2025} |
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} |
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``` |
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### CLEF 2025 CEUR papers |
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```bibtex |
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@proceedings{clef2025-workingnotes, |
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editor = "Faggioli, Guglielmo and |
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Ferro, Nicola and |
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Rosso, Paolo and |
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Spina, Damiano", |
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title = "Working Notes of CLEF 2025 - Conference and Labs of the Evaluation Forum", |
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booktitle = "Working Notes of CLEF 2025 - Conference and Labs of the Evaluation Forum", |
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series = "CLEF~2025", |
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address = "Madrid, Spain", |
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year = 2025 |
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} |
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``` |
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### Task 1 overview paper |
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```bibtex |
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@inproceedings{clef-checkthat:2025:task1, |
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title = {Overview of the {CLEF-2025 CheckThat!} Lab Task 1 on Subjectivity in News Article}, |
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author = { |
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Ruggeri, Federico and |
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Muti, Arianna and |
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Korre, Katerina and |
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Stru{\ss}, Julia Maria and |
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Siegel, Melanie and |
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Wiegand, Michael and |
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Alam, Firoj and |
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Biswas, Rafiul and |
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Zaghouani, Wajdi and |
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Nawrocka, Maria and |
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Ivasiuk, Bogdan and |
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Razvan, Gogu and |
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Mihail, Andreiana |
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}, |
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crossref = {clef2025-workingnotes} |
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} |
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``` |
