|
--- |
|
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|>" |
|
} |
|
|
|
``` |
|
## Model |
|
[**LlamaLens on Hugging Face**](https://huggingface.co/QCRI/LlamaLens) |
|
|
|
## Replication Scripts |
|
[**LlamaLens GitHub Repository**](https://github.com/firojalam/LlamaLens) |
|
|
|
|
|
## 📢 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} |
|
} |
|
``` |
|
|
