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readme.md

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+---
+license: cc-by-nc-sa-4.0
+task_categories:
+  - text-classification
+language:
+  - ar
+tags:
+  - Social Media
+  - News Media
+  - Sentiment
+  - Stance
+  - Emotion
+pretty_name: 'LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content -- English'
+size_categories:
+  - 10K<n<100K
+dataset_info:
+- config_name: QProp
+  splits:
+    - name: train
+      num_examples: 35986
+    - name: dev
+      num_examples: 5125
+    - name: test
+      num_examples: 10159
+- config_name: Cyberbullying
+  splits:
+    - name: train
+      num_examples: 32551
+    - name: dev
+      num_examples: 4751
+    - name: test
+      num_examples: 9473
+- config_name: clef2024-checkthat-lab
+  splits:
+    - name: train
+      num_examples: 825
+    - name: dev
+      num_examples: 219
+    - name: test
+      num_examples: 484
+- config_name: SemEval23T3-subtask1
+  splits:
+    - name: train
+      num_examples: 302
+    - name: dev
+      num_examples: 130
+    - name: test
+      num_examples: 83
+- config_name: offensive_language_dataset
+  splits:
+    - name: train
+      num_examples: 29216
+    - name: dev
+      num_examples: 3653
+    - name: test
+      num_examples: 3653
+- config_name: xlsum
+  splits:
+    - name: train
+      num_examples: 306493
+    - name: dev
+      num_examples: 11535
+    - name: test
+      num_examples: 11535
+- config_name: claim-detection
+  splits:
+    - name: train
+      num_examples: 23224
+    - name: dev
+      num_examples: 5815
+    - name: test
+      num_examples: 7267
+- config_name: emotion
+  splits:
+    - name: train
+      num_examples: 280551
+    - name: dev
+      num_examples: 41429
+    - name: test
+      num_examples: 82454
+- config_name: Politifact
+  splits:
+    - name: train
+      num_examples: 14799
+    - name: dev
+      num_examples: 2116
+    - name: test
+      num_examples: 4230
+- config_name: News_dataset
+  splits:
+    - name: train
+      num_examples: 28147
+    - name: dev
+      num_examples: 4376
+    - name: test
+      num_examples: 8616
+- config_name: hate-offensive-speech
+  splits:
+    - name: train
+      num_examples: 48944
+    - name: dev
+      num_examples: 2802
+    - name: test
+      num_examples: 2799
+- config_name: CNN_News_Articles_2011-2022
+  splits:
+    - name: train
+      num_examples: 32193
+    - name: dev
+      num_examples: 9663
+    - name: test
+      num_examples: 5682
+- config_name: CT24_checkworthy
+  splits:
+    - name: train
+      num_examples: 22403
+    - name: dev
+      num_examples: 318
+    - name: test
+      num_examples: 1031
+- config_name: News_Category_Dataset
+  splits:
+    - name: train
+      num_examples: 145748
+    - name: dev
+      num_examples: 20899
+    - name: test
+      num_examples: 41740
+- config_name: NewsMTSC-dataset
+  splits:
+    - name: train
+      num_examples: 7739
+    - name: dev
+      num_examples: 320
+    - name: test
+      num_examples: 747
+- config_name: Offensive_Hateful_Dataset_New
+  splits:
+    - name: train
+      num_examples: 42000
+    - name: dev
+      num_examples: 5254
+    - name: test
+      num_examples: 5252
+- config_name: News-Headlines-Dataset-For-Sarcasm-Detection
+  splits:
+    - name: train
+      num_examples: 19965
+    - name: dev
+      num_examples: 2858
+    - name: test
+      num_examples: 5719
+configs:
+- config_name: QProp
+  data_files:
+    - split: test
+      path: QProp/test.json
+    - split: dev
+      path: QProp/dev.json
+    - split: train
+      path: QProp/train.json
+- config_name: Cyberbullying
+  data_files:
+    - split: test
+      path: Cyberbullying/test.json
+    - split: dev
+      path: Cyberbullying/dev.json
+    - split: train
+      path: Cyberbullying/train.json
+- config_name: clef2024-checkthat-lab
+  data_files:
+    - split: test
+      path: clef2024-checkthat-lab/test.json
+    - split: dev
+      path: clef2024-checkthat-lab/dev.json
+    - split: train
+      path: clef2024-checkthat-lab/train.json
+- config_name: SemEval23T3-subtask1
+  data_files:
+    - split: test
+      path: SemEval23T3-subtask1/test.json
+    - split: dev
+      path: SemEval23T3-subtask1/dev.json
+    - split: train
+      path: SemEval23T3-subtask1/train.json
+- config_name: offensive_language_dataset
+  data_files:
+    - split: test
+      path: offensive_language_dataset/test.json
+    - split: dev
+      path: offensive_language_dataset/dev.json
+    - split: train
+      path: offensive_language_dataset/train.json
+- config_name: xlsum
+  data_files:
+    - split: test
+      path: xlsum/test.json
+    - split: dev
+      path: xlsum/dev.json
+    - split: train
+      path: xlsum/train.json
+- config_name: claim-detection
+  data_files:
+    - split: test
+      path: claim-detection/test.json
+    - split: dev
+      path: claim-detection/dev.json
+    - split: train
+      path: claim-detection/train.json
+- config_name: emotion
+  data_files:
+    - split: test
+      path: emotion/test.json
+    - split: dev
+      path: emotion/dev.json
+    - split: train
+      path: emotion/train.json
+- config_name: Politifact
+  data_files:
+    - split: test
+      path: Politifact/test.json
+    - split: dev
+      path: Politifact/dev.json
+    - split: train
+      path: Politifact/train.json
+- config_name: News_dataset
+  data_files:
+    - split: test
+      path: News_dataset/test.json
+    - split: dev
+      path: News_dataset/dev.json
+    - split: train
+      path: News_dataset/train.json
+- config_name: hate-offensive-speech
+  data_files:
+    - split: test
+      path: hate-offensive-speech/test.json
+    - split: dev
+      path: hate-offensive-speech/dev.json
+    - split: train
+      path: hate-offensive-speech/train.json
+- config_name: CNN_News_Articles_2011-2022
+  data_files:
+    - split: test
+      path: CNN_News_Articles_2011-2022/test.json
+    - split: dev
+      path: CNN_News_Articles_2011-2022/dev.json
+    - split: train
+      path: CNN_News_Articles_2011-2022/train.json
+- config_name: CT24_checkworthy
+  data_files:
+    - split: test
+      path: CT24_checkworthy/test.json
+    - split: dev
+      path: CT24_checkworthy/dev.json
+    - split: train
+      path: CT24_checkworthy/train.json
+- config_name: News_Category_Dataset
+  data_files:
+    - split: test
+      path: News_Category_Dataset/test.json
+    - split: dev
+      path: News_Category_Dataset/dev.json
+    - split: train
+      path: News_Category_Dataset/train.json
+- config_name: NewsMTSC-dataset
+  data_files:
+    - split: test
+      path: NewsMTSC-dataset/test.json
+    - split: dev
+      path: NewsMTSC-dataset/dev.json
+    - split: train
+      path: NewsMTSC-dataset/train.json
+- config_name: Offensive_Hateful_Dataset_New
+  data_files:
+    - split: test
+      path: Offensive_Hateful_Dataset_New/test.json
+    - split: dev
+      path: Offensive_Hateful_Dataset_New/dev.json
+    - split: train
+      path: Offensive_Hateful_Dataset_New/train.json
+- config_name: News-Headlines-Dataset-For-Sarcasm-Detection
+  data_files:
+    - split: test
+      path: News-Headlines-Dataset-For-Sarcasm-Detection/test.json
+    - split: dev
+      path: News-Headlines-Dataset-For-Sarcasm-Detection/dev.json
+    - split: train
+      path: News-Headlines-Dataset-For-Sarcasm-Detection/train.json
+---
+
+# LlamaLens: Specialized Multilingual LLM Dataset
+
+## Overview
+LlamaLens is a specialized multilingual LLM designed for analyzing news and social media content. It focuses on 19 NLP tasks, leveraging 52 datasets across Arabic, English, and Hindi.
+
+
+<p align="center"> <img src="./capablities_tasks_datasets.png" style="width: 40%;" id="title-icon"> </p>
+
+## LlamaLens
+This repo includes scripts needed to run our full pipeline, including data preprocessing and sampling, instruction dataset creation, model fine-tuning, inference and evaluation.
+
+### Features
+- Multilingual support (Arabic, English, Hindi)
+- 19 NLP tasks with 52 datasets
+- Optimized for news and social media content analysis
+
+## 📂 Dataset Overview
+
+### English Datasets
+
+| **Task**                  | **Dataset**                  | **# Labels** | **# Train** | **# Test** | **# Dev** |
+|---------------------------|------------------------------|--------------|-------------|------------|-----------|
+| Checkworthiness           | CT24_T1                      | 2            | 22,403      | 1,031      | 318       |
+| Claim                    | claim-detection              | 2            | 23,224      | 7,267      | 5,815     |
+| Cyberbullying             | Cyberbullying                | 6            | 32,551      | 9,473      | 4,751     |
+| Emotion                  | emotion                     | 6            | 280,551     | 82,454     | 41,429    |
+| Factuality               | News_dataset                | 2            | 28,147      | 8,616      | 4,376     |
+| Factuality               | Politifact                  | 6            | 14,799      | 4,230      | 2,116     |
+| News Genre Categorization | CNN_News_Articles_2011-2022 | 6            | 32,193      | 5,682      | 9,663     |
+| News Genre Categorization | News_Category_Dataset       | 42           | 145,748     | 41,740     | 20,899    |
+| News Genre Categorization | SemEval23T3-subtask1        | 3            | 302         | 83         | 130       |
+| Summarization            | xlsum                       | --           | 306,493     | 11,535     | 11,535    |
+| Offensive Language       | Offensive_Hateful_Dataset_New | 2           | 42,000      | 5,252      | 5,254     |
+| Offensive Language       | offensive_language_dataset   | 2            | 29,216      | 3,653      | 3,653     |
+| Offensive/Hate-Speech    | hate-offensive-speech        | 3            | 48,944      | 2,799      | 2,802     |
+| Propaganda               | QProp                        | 2            | 35,986      | 10,159     | 5,125     |
+| Sarcasm                  | News-Headlines-Dataset-For-Sarcasm-Detection | 2 | 19,965 | 5,719 | 2,858 |
+| Sentiment                | NewsMTSC-dataset            | 3            | 7,739       | 747        | 320       |
+| Subjectivity             | clef2024-checkthat-lab       | 2            | 825         | 484        | 219       |
+
+
+## File Format
+
+Each JSONL file in the dataset follows a structured format with the following fields:
+
+- `id`: Unique identifier for each data entry.
+- `original_id`: Identifier from the original dataset, if available.
+- `input`: The original text that needs to be analyzed.
+- `output`: The label assigned to the text after analysis.
+- `dataset`: Name of the dataset the entry belongs.
+- `task`: The specific task type.
+- `lang`: The language of the input text.
+- `instructions`: A brief set of instructions describing how the text should be labeled.
+- `text`: A formatted structure including instructions and response for the task in a conversation format between the system, user, and assistant, showing the decision process.
+
+
+**Example entry in JSONL file:**
+
+```
+{
+    "id": "3fe3eb6a-843e-4a03-b38c-8333c052f4c4",
+    "original_id": "nan",
+    "input": "You know, I saw a movie - \"Crocodile Dundee.\"",
+    "output": "not_checkworthy",
+    "dataset": "CT24_checkworthy",
+    "task": "Checkworthiness",
+    "lang": "en",
+    "instructions": "Analyze the given text and label it as 'checkworthy' if it includes a factual statement that is significant or relevant to verify, or 'not_checkworthy' if it's not worth checking. Return only the label without any explanation, justification or additional text.",
+    "text": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are a social media expert providing accurate analysis and insights.<|eot_id|><|start_header_id|>user<|end_header_id|>Analyze the given text and label it as 'checkworthy' if it includes a factual statement that is significant or relevant to verify, or 'not_checkworthy' if it's not worth checking. Return only the label without any explanation, justification or additional text.\ninput: You know, I saw a movie - \"Crocodile Dundee.\"\nlabel: <|eot_id|><|start_header_id|>assistant<|end_header_id|>not_checkworthy<|eot_id|><|end_of_text|>"
+}
+
+```
+
+
+## 📢 Citation
+
+If you use this dataset, please cite our [paper](https://arxiv.org/pdf/2410.15308):
+
+```
+@article{kmainasi2024llamalensspecializedmultilingualllm,
+  title={LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content},
+  author={Mohamed Bayan Kmainasi and Ali Ezzat Shahroor and Maram Hasanain and Sahinur Rahman Laskar and Naeemul Hassan and Firoj Alam},
+  year={2024},
+  journal={arXiv preprint arXiv:2410.15308},
+  volume={},
+  number={},
+  pages={},
+  url={https://arxiv.org/abs/2410.15308},
+  eprint={2410.15308},
+  archivePrefix={arXiv},
+  primaryClass={cs.CL}
+}
+```