Update README.md

README.md

@@ -1,343 +1,344 @@
----
-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
-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
-
-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}
-}
+---
+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
+
+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}
+}
 ```