Update README.md

README.md

@@ -3,7 +3,6 @@ license: cc-by-nc-4.0
 task_categories:
 - text-classification
 language:
-- fr
 - en
 pretty_name: Frugal AI Challenge 2025 - Text - Climate Disinformation
 size_categories:
@@ -19,10 +18,11 @@ By tracking both energy consumption and performance for different AI for climate
 
 ### Dataset Summary
 
-A comprehensive collection of approximately ~6500 climate-related quotes and statements, specifically focused on identifying and categorizing climate disinformation narratives. 
+A comprehensive collection of approximately ~6000 climate-related quotes and statements, specifically focused on identifying and categorizing climate disinformation narratives. 
 The dataset combines quotes and statements from various media sources, including television, radio, and online platforms, to help train models that can identify different types of climate disinformation claims.
 The labels are drawn from a simplified version of the [CARDS taxonomy with only the 7 main labels](https://cardsclimate.com/). 
 
+```
 @article{coan2021computer,
   title={Computer-assisted classification of contrarian claims about climate change},
   author={Coan, Travis G and Boussalis, Constantine and Cook, John and others},
@@ -33,6 +33,7 @@ The labels are drawn from a simplified version of the [CARDS taxonomy with only
   publisher={Nature Publishing Group},
   doi={10.1038/s41598-021-01714-4}
 }
+```
 
 Coan, T.G., Boussalis, C., Cook, J. et al. Computer-assisted classification of contrarian claims about climate change. Sci Rep 11, 22320 (2021). https://doi.org/10.1038/s41598-021-01714-4
 
@@ -71,10 +72,9 @@ The dataset is split into training and testing sets with a hidden test set for t
 This dataset was compiled to help identify and understand common climate disinformation narratives in media and public discourse. 
 It serves as a tool for training models that can automatically detect and categorize climate disinformation claims.
 
-The dataset combines data from three main sources curated by the QuotaClimat & Data For Good team.
+The dataset combines data from two main sources curated by the QuotaClimat & Data For Good team.
 1. [DeSmog climate disinformation database](https://www.desmog.com/climate-disinformation-database/) with extracted and annotated quotes with GPT4o-mini and manual validations
 2. [FLICC dataset](https://huggingface.co/datasets/fzanartu/FLICCdataset) from the paper "[Detecting Fallacies in Climate Misinformation: A Technocognitive Approach to Identifying Misleading Argumentation "](https://arxiv.org/abs/2405.08254) by Francisco Zanartu, John Cook, Markus Wagner, Julian Garcia - re-annotated with GPT4o-mini and manual validations
-3. Quotes drawn from French media content (TV and radio) extracted by QuotaClimat & Data For Good using Mediatree tool, annotated manually.
 
 ### Personal and Sensitive Information
 
@@ -95,5 +95,4 @@ print(next(iter(dataset['train'])))
 
 ### Licensing Information
 
-The dataset is provided under the [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license.
-
+The dataset is provided under the [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license.