| | --- |
| | license: cc-by-nc-sa-4.0 |
| | task_categories: |
| | - text-classification |
| | language: |
| | - en |
| | - ar |
| | - bg |
| | - de |
| | - el |
| | - it |
| | - pl |
| | - ro |
| | - uk |
| | tags: |
| | - subjectivity-detection |
| | - news-articles |
| | viewer: true |
| | pretty_name: 'CLEF 2025 CheckThat! Lab - Task 1: Subjectivity in News Articles' |
| | size_categories: |
| | - 1K<n<10K |
| | configs: |
| | - config_name: arabic |
| | data_files: |
| | - split: train |
| | path: |
| | - "data/arabic/train_ar.tsv" |
| | - split: dev |
| | path: |
| | - "data/arabic/dev_ar.tsv" |
| | - split: dev_test |
| | path: |
| | - "data/arabic/dev_test_ar.tsv" |
| | - split: test |
| | path: |
| | - "data/arabic/test_ar_unlabeled.tsv" |
| | sep: "\t" |
| | - config_name: bulgarian |
| | data_files: |
| | - split: train |
| | path: |
| | - "data/bulgarian/train_bg.tsv" |
| | - split: dev |
| | path: |
| | - "data/bulgarian/dev_bg.tsv" |
| | - split: dev_test |
| | path: |
| | - "data/bulgarian/dev_test_bg.tsv" |
| | sep: "\t" |
| | - config_name: english |
| | data_files: |
| | - split: train |
| | path: |
| | - "data/english/train_en.tsv" |
| | - split: dev |
| | path: |
| | - "data/english/dev_en.tsv" |
| | - split: dev_test |
| | path: |
| | - "data/english/dev_test_en.tsv" |
| | - split: test |
| | path: |
| | - "data/english/test_en_unlabeled.tsv" |
| | sep: "\t" |
| | - config_name: german |
| | data_files: |
| | - split: train |
| | path: |
| | - "data/german/train_de.tsv" |
| | - split: dev |
| | path: |
| | - "data/german/dev_de.tsv" |
| | - split: dev_test |
| | path: |
| | - "data/german/dev_test_de.tsv" |
| | - split: test |
| | path: |
| | - "data/german/test_de_unlabeled.tsv" |
| | sep: "\t" |
| | - config_name: greek |
| | data_files: |
| | - split: test |
| | path: |
| | - "data/greek/test_gr_unlabeled.tsv" |
| | sep: "\t" |
| | - config_name: italian |
| | data_files: |
| | - split: train |
| | path: |
| | - "data/italian/train_it.tsv" |
| | - split: dev |
| | path: |
| | - "data/italian/dev_it.tsv" |
| | - split: dev_test |
| | path: |
| | - "data/italian/dev_test_it.tsv" |
| | - split: test |
| | path: |
| | - "data/italian/test_it_unlabeled.tsv" |
| | sep: "\t" |
| | - config_name: multilingual |
| | data_files: |
| | - split: dev_test |
| | path: |
| | - "data/multilingual/dev_test_multilingual.tsv" |
| | - split: test |
| | path: |
| | - "data/multilingual/test_multilingual_unlabeled.tsv" |
| | sep: "\t" |
| | - config_name: polish |
| | data_files: |
| | - split: test |
| | path: |
| | - "data/polish/test_pol_unlabeled.tsv" |
| | sep: "\t" |
| | - config_name: romanian |
| | data_files: |
| | - split: test |
| | path: |
| | - "data/romanian/test_ro_unlabeled.tsv" |
| | sep: "\t" |
| | - config_name: ukrainian |
| | data_files: |
| | - split: test |
| | path: |
| | - "data/ukrainian/test_ukr_unlabeled.tsv" |
| | sep: "\t" |
| | --- |
| | |
| | # CLEF‑2025 CheckThat! Lab Task 1: Subjectivity in News Articles |
| |
|
| | 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. |
| |
|
| | 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**). |
| |
|
| | The task comprises three settings: |
| | - **Monolingual**: train and test on data in a given language L |
| | - **Multilingual**: train and test on data comprising several languages |
| | - **Zero-shot**: train on several languages and test on unseen languages |
| |
|
| | ## Datasets statistics |
| |
|
| | * **English** |
| | - train: 830 sentences, 532 OBJ, 298 SUBJ |
| | - dev: 462 sentences, 222 OBJ, 240 SUBJ |
| | - dev-test: 484 sentences, 362 OBJ, 122 SUBJ |
| | * **Italian** |
| | - train: 1613 sentences, 1231 OBJ, 382 SUBJ |
| | - dev: 667 sentences, 490 OBJ, 177 SUBJ |
| | - dev-test - 513 sentences, 377 OBJ, 136 SUBJ |
| | * **German** |
| | - train: 800 sentences, 492 OBJ, 308 SUBJ |
| | - dev: 491 sentences, 317 OBJ, 174 SUBJ |
| | - dev-test - 337 sentences, 226 OBJ, 111 SUBJ |
| | * **Bulgarian** |
| | - train: 729 sentences, 406 OBJ, 323 SUBJ |
| | - dev: 467 sentences, 175 OBJ, 139 SUBJ |
| | - dev-test - 250 sentences, 143 OBJ, 107 SUBJ |
| | - test: TBA |
| | * **Arabic** |
| | - train: 2,446 sentences, 1391 OBJ, 1055 SUBJ |
| | - dev: 742 sentences, 266 OBJ, 201 SUBJ |
| | - dev-test - 748 sentences, 425 OBJ, 323 SUBJ |
| |
|
| | ## Input Data Format |
| |
|
| | The data will be provided as a TSV file with three columns: |
| | > sentence_id <TAB> sentence <TAB> label |
| | |
| | Where: <br> |
| | * sentence_id: sentence id for a given sentence in a news article<br/> |
| | * sentence: sentence's text <br/> |
| | * label: *OBJ* and *SUBJ* |
| |
|
| | **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. |
| | |
| | **Examples:** |
| | |
| | > b9e1635a-72aa-467f-86d6-f56ef09f62c3 Gone are the days when they led the world in recession-busting SUBJ |
| | > |
| | > f99b5143-70d2-494a-a2f5-c68f10d09d0a The trend is expected to reverse as soon as next month. OBJ |
| | |
| | ## Output Data Format |
| | |
| | The output must be a TSV format with two columns: sentence_id and label. |
| |
|
| | ## Evaluation Metrics |
| |
|
| | 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. |
| |
|
| | ## Scorers |
| |
|
| | 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). |
| |
|
| | To evaluate the output of your model which should be in the output format required, please run the script below: |
| |
|
| | > python evaluate.py -g dev_truth.tsv -p dev_predicted.tsv |
| |
|
| | 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. |
| |
|
| | The file can be used also to validate the format of the submission, simply use the provided test file as gold data. |
| |
|
| | ## Baselines |
| |
|
| | 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). |
| | The script can be run as follow: |
| |
|
| | > python baseline.py -trp train_data.tsv -ttp dev_data.tsv |
| |
|
| | where train_data.tsv is the file to be used for training and dev_data.tsv is the file on which doing the prediction. |
| |
|
| | The baseline is a logistic regressor trained on a Sentence-BERT multilingual representation of the data. |
| |
|
| | ## Leaderboard |
| |
|
| | The leaderboard is available in the original GitLab repository - [clef2025-checkthat-lab-task1](https://gitlab.com/checkthat_lab/clef2025-checkthat-lab/-/tree/main/task1). |
| |
|
| | ## Related Work |
| |
|
| | 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). |
| |
|
| | Information regarding the annotation guidelines can be found in the following papers: |
| |
|
| | > 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 |
| |
|
| | > 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 |
| |
|
| | > Suwaileh, Reem, Maram Hasanain, Fatema Hubail, Wajdi Zaghouani, and Firoj Alam. "ThatiAR: Subjectivity Detection in Arabic News Sentences." arXiv preprint arXiv:2406.05559 (2024). |
| | > |
| | |
| | ## Credits |
| |
|
| | ### ECIR 2025 |
| |
|
| | 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 |
| | |
| | ```bibtex |
| | @InProceedings{10.1007/978-3-031-88720-8_68, |
| | author="Alam, Firoj |
| | and Stru{\ss}, Julia Maria |
| | and Chakraborty, Tanmoy |
| | and Dietze, Stefan |
| | and Hafid, Salim |
| | and Korre, Katerina |
| | and Muti, Arianna |
| | and Nakov, Preslav |
| | and Ruggeri, Federico |
| | and Schellhammer, Sebastian |
| | and Setty, Vinay |
| | and Sundriyal, Megha |
| | and Todorov, Konstantin |
| | and V., Venktesh", |
| | editor="Hauff, Claudia |
| | and Macdonald, Craig |
| | and Jannach, Dietmar |
| | and Kazai, Gabriella |
| | and Nardini, Franco Maria |
| | and Pinelli, Fabio |
| | and Silvestri, Fabrizio |
| | and Tonellotto, Nicola", |
| | title="The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval", |
| | booktitle="Advances in Information Retrieval", |
| | year="2025", |
| | publisher="Springer Nature Switzerland", |
| | address="Cham", |
| | pages="467--478", |
| | isbn="978-3-031-88720-8", |
| | } |
| | ``` |
| | |
| | ### CLEF 2025 LNCS |
| | |
| | ```bibtex |
| | @InProceedings{clef-checkthat:2025-lncs, |
| | author = { |
| | Alam, Firoj |
| | and Struß, Julia Maria |
| | and Chakraborty, Tanmoy |
| | and Dietze, Stefan |
| | and Hafid, Salim |
| | and Korre, Katerina |
| | and Muti, Arianna |
| | and Nakov, Preslav |
| | and Ruggeri, Federico |
| | and Schellhammer, Sebastian |
| | and Setty, Vinay |
| | and Sundriyal, Megha |
| | and Todorov, Konstantin |
| | and Venktesh, V |
| | }, |
| | title = {Overview of the {CLEF}-2025 {CheckThat! Lab}: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval}, |
| | editor = { |
| | Carrillo-de-Albornoz, Jorge and |
| | Gonzalo, Julio and |
| | Plaza, Laura and |
| | García Seco de Herrera, Alba and |
| | Mothe, Josiane and |
| | Piroi, Florina and |
| | Rosso, Paolo and |
| | Spina, Damiano and |
| | Faggioli, Guglielmo and |
| | Ferro, Nicola |
| | }, |
| | booktitle = {Experimental IR Meets Multilinguality, Multimodality, and Interaction. Proceedings of the Sixteenth International Conference of the CLEF Association (CLEF 2025)}, |
| | year = {2025} |
| | } |
| | ``` |
| | |
| | ### CLEF 2025 CEUR papers |
| |
|
| | ```bibtex |
| | @proceedings{clef2025-workingnotes, |
| | editor = "Faggioli, Guglielmo and |
| | Ferro, Nicola and |
| | Rosso, Paolo and |
| | Spina, Damiano", |
| | title = "Working Notes of CLEF 2025 - Conference and Labs of the Evaluation Forum", |
| | booktitle = "Working Notes of CLEF 2025 - Conference and Labs of the Evaluation Forum", |
| | series = "CLEF~2025", |
| | address = "Madrid, Spain", |
| | year = 2025 |
| | } |
| | ``` |
| |
|
| | ### Task 1 overview paper |
| |
|
| | ```bibtex |
| | @inproceedings{clef-checkthat:2025:task1, |
| | title = {Overview of the {CLEF-2025 CheckThat!} Lab Task 1 on Subjectivity in News Article}, |
| | author = { |
| | Ruggeri, Federico and |
| | Muti, Arianna and |
| | Korre, Katerina and |
| | Stru{\ss}, Julia Maria and |
| | Siegel, Melanie and |
| | Wiegand, Michael and |
| | Alam, Firoj and |
| | Biswas, Rafiul and |
| | Zaghouani, Wajdi and |
| | Nawrocka, Maria and |
| | Ivasiuk, Bogdan and |
| | Razvan, Gogu and |
| | Mihail, Andreiana |
| | }, |
| | crossref = {clef2025-workingnotes} |
| | } |
| | ``` |
