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--- |
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language: |
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- en |
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license: cc-by-nc-sa-4.0 |
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size_categories: |
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- 10K<n<100K |
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task_categories: |
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- text-classification |
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pretty_name: 'LlamaLens English Dataset' |
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tags: |
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- Social Media |
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- News Media |
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- Sentiment |
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- Stance |
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- Emotion |
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dataset_info: |
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- config_name: QProp |
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splits: |
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- name: train |
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num_examples: 35986 |
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- name: dev |
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num_examples: 5125 |
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- name: test |
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num_examples: 10159 |
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- config_name: Cyberbullying |
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splits: |
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- name: train |
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num_examples: 32551 |
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- name: dev |
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num_examples: 4751 |
|
- name: test |
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num_examples: 9473 |
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- config_name: clef2024-checkthat-lab |
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splits: |
|
- name: train |
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num_examples: 825 |
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- name: dev |
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num_examples: 219 |
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- name: test |
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num_examples: 484 |
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- config_name: SemEval23T3-subtask1 |
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splits: |
|
- name: train |
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num_examples: 302 |
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- name: dev |
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num_examples: 130 |
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- name: test |
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num_examples: 83 |
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- config_name: offensive_language_dataset |
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splits: |
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- name: train |
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num_examples: 29216 |
|
- name: dev |
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num_examples: 3653 |
|
- name: test |
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num_examples: 3653 |
|
- config_name: xlsum |
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splits: |
|
- name: train |
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num_examples: 306493 |
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- name: dev |
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num_examples: 11535 |
|
- name: test |
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num_examples: 11535 |
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- config_name: claim-detection |
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splits: |
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- name: train |
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num_examples: 23224 |
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- name: dev |
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num_examples: 5815 |
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- name: test |
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num_examples: 7267 |
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- config_name: emotion |
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splits: |
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- name: train |
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num_examples: 280551 |
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- name: dev |
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num_examples: 41429 |
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- name: test |
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num_examples: 82454 |
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- config_name: Politifact |
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splits: |
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- name: train |
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num_examples: 14799 |
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- name: dev |
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num_examples: 2116 |
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- name: test |
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num_examples: 4230 |
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- config_name: News_dataset |
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splits: |
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- name: train |
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num_examples: 28147 |
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- name: dev |
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num_examples: 4376 |
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- name: test |
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num_examples: 8616 |
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- config_name: hate-offensive-speech |
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splits: |
|
- name: train |
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num_examples: 48944 |
|
- name: dev |
|
num_examples: 2802 |
|
- name: test |
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num_examples: 2799 |
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- config_name: CNN_News_Articles_2011-2022 |
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splits: |
|
- name: train |
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num_examples: 32193 |
|
- name: dev |
|
num_examples: 9663 |
|
- name: test |
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num_examples: 5682 |
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- config_name: CT24_checkworthy |
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splits: |
|
- name: train |
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num_examples: 22403 |
|
- name: dev |
|
num_examples: 318 |
|
- name: test |
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num_examples: 1031 |
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- config_name: News_Category_Dataset |
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splits: |
|
- name: train |
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num_examples: 145748 |
|
- name: dev |
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num_examples: 20899 |
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- name: test |
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num_examples: 41740 |
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- config_name: NewsMTSC-dataset |
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splits: |
|
- name: train |
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num_examples: 7739 |
|
- name: dev |
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num_examples: 320 |
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- name: test |
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num_examples: 747 |
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- config_name: Offensive_Hateful_Dataset_New |
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splits: |
|
- name: train |
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num_examples: 42000 |
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- name: dev |
|
num_examples: 5254 |
|
- name: test |
|
num_examples: 5252 |
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- config_name: News-Headlines-Dataset-For-Sarcasm-Detection |
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splits: |
|
- name: train |
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num_examples: 19965 |
|
- name: dev |
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num_examples: 2858 |
|
- name: test |
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num_examples: 5719 |
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configs: |
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- config_name: QProp |
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data_files: |
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- split: test |
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path: QProp/test.json |
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- split: dev |
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path: QProp/dev.json |
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- split: train |
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path: QProp/train.json |
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- config_name: Cyberbullying |
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data_files: |
|
- split: test |
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path: Cyberbullying/test.json |
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- split: dev |
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path: Cyberbullying/dev.json |
|
- split: train |
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path: Cyberbullying/train.json |
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- config_name: clef2024-checkthat-lab |
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data_files: |
|
- split: test |
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path: clef2024-checkthat-lab/test.json |
|
- split: dev |
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path: clef2024-checkthat-lab/dev.json |
|
- split: train |
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path: clef2024-checkthat-lab/train.json |
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- config_name: SemEval23T3-subtask1 |
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data_files: |
|
- split: test |
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path: SemEval23T3-subtask1/test.json |
|
- split: dev |
|
path: SemEval23T3-subtask1/dev.json |
|
- split: train |
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path: SemEval23T3-subtask1/train.json |
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- config_name: offensive_language_dataset |
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data_files: |
|
- split: test |
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path: offensive_language_dataset/test.json |
|
- split: dev |
|
path: offensive_language_dataset/dev.json |
|
- split: train |
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path: offensive_language_dataset/train.json |
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- config_name: xlsum |
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data_files: |
|
- split: test |
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path: xlsum/test.json |
|
- split: dev |
|
path: xlsum/dev.json |
|
- split: train |
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path: xlsum/train.json |
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- config_name: claim-detection |
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data_files: |
|
- split: test |
|
path: claim-detection/test.json |
|
- split: dev |
|
path: claim-detection/dev.json |
|
- split: train |
|
path: claim-detection/train.json |
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- config_name: emotion |
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data_files: |
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- split: test |
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path: emotion/test.json |
|
- split: dev |
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path: emotion/dev.json |
|
- split: train |
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path: emotion/train.json |
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- config_name: Politifact |
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data_files: |
|
- split: test |
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path: Politifact/test.json |
|
- split: dev |
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path: Politifact/dev.json |
|
- split: train |
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path: Politifact/train.json |
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- config_name: News_dataset |
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data_files: |
|
- split: test |
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path: News_dataset/test.json |
|
- split: dev |
|
path: News_dataset/dev.json |
|
- split: train |
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path: News_dataset/train.json |
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- config_name: hate-offensive-speech |
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data_files: |
|
- split: test |
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path: hate-offensive-speech/test.json |
|
- split: dev |
|
path: hate-offensive-speech/dev.json |
|
- split: train |
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path: hate-offensive-speech/train.json |
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- config_name: CNN_News_Articles_2011-2022 |
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data_files: |
|
- split: test |
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path: CNN_News_Articles_2011-2022/test.json |
|
- split: dev |
|
path: CNN_News_Articles_2011-2022/dev.json |
|
- split: train |
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path: CNN_News_Articles_2011-2022/train.json |
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- config_name: CT24_checkworthy |
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data_files: |
|
- split: test |
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path: CT24_checkworthy/test.json |
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- split: dev |
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path: CT24_checkworthy/dev.json |
|
- split: train |
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path: CT24_checkworthy/train.json |
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- config_name: News_Category_Dataset |
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data_files: |
|
- split: test |
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path: News_Category_Dataset/test.json |
|
- split: dev |
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path: News_Category_Dataset/dev.json |
|
- split: train |
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path: News_Category_Dataset/train.json |
|
- config_name: NewsMTSC-dataset |
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data_files: |
|
- split: test |
|
path: NewsMTSC-dataset/test.json |
|
- split: dev |
|
path: NewsMTSC-dataset/dev.json |
|
- split: train |
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path: NewsMTSC-dataset/train.json |
|
- config_name: Offensive_Hateful_Dataset_New |
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data_files: |
|
- split: test |
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path: Offensive_Hateful_Dataset_New/test.json |
|
- split: dev |
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path: Offensive_Hateful_Dataset_New/dev.json |
|
- split: train |
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path: Offensive_Hateful_Dataset_New/train.json |
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- config_name: News-Headlines-Dataset-For-Sarcasm-Detection |
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data_files: |
|
- split: test |
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path: News-Headlines-Dataset-For-Sarcasm-Detection/test.json |
|
- split: dev |
|
path: News-Headlines-Dataset-For-Sarcasm-Detection/dev.json |
|
- split: train |
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path: News-Headlines-Dataset-For-Sarcasm-Detection/train.json |
|
--- |
|
|
|
# LlamaLens: Specialized Multilingual LLM Dataset |
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|
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This dataset supports the research presented in the paper [LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content](https://huggingface.co/papers/2410.15308). |
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|
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## Overview |
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LlamaLens is a specialized multilingual LLM designed for analyzing news and social media content. It focuses on 18 NLP tasks, leveraging 52 datasets across Arabic, English, and Hindi. This repository contains the English-language portion of the data. |
|
|
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<p align="center"> <img src="./capablities_tasks_datasets.png" style="width: 40%;" id="title-icon"> </p> |
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|
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## Dataset Details |
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This dataset comprises various sub-datasets focusing on different text classification tasks related to news and social media analysis. A detailed breakdown of the datasets and their statistics is provided in the metadata section above. |
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|
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## File Format |
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|
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Each JSONL file in the dataset follows a structured format with the following fields: |
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|
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- `id`: Unique identifier for each data entry. |
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- `original_id`: Identifier from the original dataset, if available. |
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- `input`: The original text that needs to be analyzed. |
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- `output`: The label assigned to the text after analysis. |
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- `dataset`: Name of the dataset the entry belongs. |
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- `task`: The specific task type. |
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- `lang`: The language of the input text. |
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- `instructions`: A brief set of instructions describing how the text should be labeled. |
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|
|
|
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**Example entry in JSONL file:** |
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|
|
``` |
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{ |
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"id": "fb6dd1bb-2ab4-4402-adaa-9be9eea6ca18", |
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"original_id": null, |
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"input": "I feel that worldviews that lack the divine tend toward the solipsistic.", |
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"output": "joy", |
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"dataset": "Emotion", |
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"task": "Emotion", |
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"lang": "en", |
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"instructions": "Identify if the given text expresses an emotion and specify whether it is joy, love, fear, anger, sadness, or surprise. Return only the label without any explanation, justification, or additional text." |
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} |
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``` |
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|
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## Model & Code |
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- **LlamaLens Model on Hugging Face:** [https://huggingface.co/QCRI/LlamaLens](https://huggingface.co/QCRI/LlamaLens) |
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- **LlamaLens GitHub Repository:** [https://github.com/firojalam/LlamaLens](https://github.com/firojalam/LlamaLens) |
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|
|
|
|
## 📢 Citation |
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|
|
If you use this dataset, please cite our [paper](https://arxiv.org/pdf/2410.15308): |
|
|
|
``` |
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@article{kmainasi2024llamalensspecializedmultilingualllm, |
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title={LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content}, |
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author={Mohamed Bayan Kmainasi and Ali Ezzat Shahroor and Maram Hasanain and Sahinur Rahman Laskar and Naeemul Hassan and Firoj Alam}, |
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year={2024}, |
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journal={arXiv preprint arXiv:2410.15308}, |
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volume={}, |
|
number={}, |
|
pages={}, |
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url={https://arxiv.org/abs/2410.15308}, |
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eprint={2410.15308}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
|
``` |
