|
--- |
|
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 -- Arabic' |
|
size_categories: |
|
- 10K<n<100K |
|
dataset_info: |
|
- config_name: SANADAkhbarona-news-categorization |
|
splits: |
|
- name: train |
|
num_examples: 62210 |
|
- name: dev |
|
num_examples: 7824 |
|
- name: test |
|
num_examples: 7824 |
|
- config_name: CT22Harmful |
|
splits: |
|
- name: train |
|
num_examples: 2484 |
|
- name: dev |
|
num_examples: 1076 |
|
- name: test |
|
num_examples: 1201 |
|
- config_name: Mawqif-Arabic-Stance-main |
|
splits: |
|
- name: train |
|
num_examples: 3162 |
|
- name: dev |
|
num_examples: 950 |
|
- name: test |
|
num_examples: 560 |
|
- config_name: CT22Claim |
|
splits: |
|
- name: train |
|
num_examples: 3513 |
|
- name: dev |
|
num_examples: 339 |
|
- name: test |
|
num_examples: 1248 |
|
- config_name: annotated-hatetweets-4-classes |
|
splits: |
|
- name: train |
|
num_examples: 210525 |
|
- name: dev |
|
num_examples: 90543 |
|
- name: test |
|
num_examples: 100564 |
|
- config_name: ar_reviews_100k |
|
splits: |
|
- name: train |
|
num_examples: 69998 |
|
- name: dev |
|
num_examples: 10000 |
|
- name: test |
|
num_examples: 20000 |
|
- config_name: Arafacts |
|
splits: |
|
- name: train |
|
num_examples: 4354 |
|
- name: dev |
|
num_examples: 623 |
|
- name: test |
|
num_examples: 1245 |
|
- config_name: OSACT4SubtaskA |
|
splits: |
|
- name: train |
|
num_examples: 4780 |
|
- name: dev |
|
num_examples: 2047 |
|
- name: test |
|
num_examples: 1827 |
|
- config_name: SANADAlArabiya-news-categorization |
|
splits: |
|
- name: train |
|
num_examples: 56967 |
|
- name: dev |
|
num_examples: 7120 |
|
- name: test |
|
num_examples: 7123 |
|
- config_name: ArPro |
|
splits: |
|
- name: train |
|
num_examples: 6002 |
|
- name: dev |
|
num_examples: 672 |
|
- name: test |
|
num_examples: 1326 |
|
- config_name: xlsum |
|
splits: |
|
- name: train |
|
num_examples: 37425 |
|
- name: dev |
|
num_examples: 4689 |
|
- name: test |
|
num_examples: 4689 |
|
- config_name: ArSarcasm-v2 |
|
splits: |
|
- name: train |
|
num_examples: 8749 |
|
- name: dev |
|
num_examples: 3761 |
|
- name: test |
|
num_examples: 2996 |
|
- config_name: COVID19Factuality |
|
splits: |
|
- name: train |
|
num_examples: 3513 |
|
- name: dev |
|
num_examples: 339 |
|
- name: test |
|
num_examples: 988 |
|
- config_name: Emotional-Tone |
|
splits: |
|
- name: train |
|
num_examples: 7024 |
|
- name: dev |
|
num_examples: 1005 |
|
- name: test |
|
num_examples: 2009 |
|
- config_name: ans-claim |
|
splits: |
|
- name: train |
|
num_examples: 3185 |
|
- name: dev |
|
num_examples: 906 |
|
- name: test |
|
num_examples: 456 |
|
- config_name: ArCyc_OFF |
|
splits: |
|
- name: train |
|
num_examples: 3138 |
|
- name: dev |
|
num_examples: 450 |
|
- name: test |
|
num_examples: 900 |
|
- config_name: CT24_checkworthy |
|
splits: |
|
- name: train |
|
num_examples: 7333 |
|
- name: dev |
|
num_examples: 1093 |
|
- name: test |
|
num_examples: 610 |
|
- config_name: stance |
|
splits: |
|
- name: train |
|
num_examples: 2652 |
|
- name: dev |
|
num_examples: 755 |
|
- name: test |
|
num_examples: 379 |
|
- config_name: NewsHeadline |
|
splits: |
|
- name: train |
|
num_examples: 939 |
|
- name: dev |
|
num_examples: 160 |
|
- name: test |
|
num_examples: 323 |
|
- config_name: NewsCredibilityDataset |
|
splits: |
|
- name: train |
|
num_examples: 8671 |
|
- name: dev |
|
num_examples: 1426 |
|
- name: test |
|
num_examples: 2730 |
|
- config_name: UltimateDataset |
|
splits: |
|
- name: train |
|
num_examples: 133036 |
|
- name: dev |
|
num_examples: 19269 |
|
- name: test |
|
num_examples: 38456 |
|
- config_name: ThatiAR |
|
splits: |
|
- name: train |
|
num_examples: 2446 |
|
- name: dev |
|
num_examples: 467 |
|
- name: test |
|
num_examples: 748 |
|
- config_name: ArSAS |
|
splits: |
|
- name: train |
|
num_examples: 13883 |
|
- name: dev |
|
num_examples: 1987 |
|
- name: test |
|
num_examples: 3976 |
|
- config_name: CT22Attentionworthy |
|
splits: |
|
- name: train |
|
num_examples: 2479 |
|
- name: dev |
|
num_examples: 1071 |
|
- name: test |
|
num_examples: 1186 |
|
- config_name: ASND |
|
splits: |
|
- name: train |
|
num_examples: 74496 |
|
- name: dev |
|
num_examples: 11136 |
|
- name: test |
|
num_examples: 21942 |
|
- config_name: OSACT4SubtaskB |
|
splits: |
|
- name: train |
|
num_examples: 4778 |
|
- name: dev |
|
num_examples: 2048 |
|
- name: test |
|
num_examples: 1827 |
|
- config_name: ArCyc_CB |
|
splits: |
|
- name: train |
|
num_examples: 3145 |
|
- name: dev |
|
num_examples: 451 |
|
- name: test |
|
num_examples: 900 |
|
- config_name: SANADAlkhaleej-news-categorization |
|
splits: |
|
- name: train |
|
num_examples: 36391 |
|
- name: dev |
|
num_examples: 4550 |
|
- name: test |
|
num_examples: 4550 |
|
configs: |
|
- config_name: SANADAkhbarona-news-categorization |
|
data_files: |
|
- split: test |
|
path: SANADAkhbarona-news-categorization/test.json |
|
- split: dev |
|
path: SANADAkhbarona-news-categorization/dev.json |
|
- split: train |
|
path: SANADAkhbarona-news-categorization/train.json |
|
- config_name: CT22Harmful |
|
data_files: |
|
- split: test |
|
path: CT22Harmful/test.json |
|
- split: dev |
|
path: CT22Harmful/dev.json |
|
- split: train |
|
path: CT22Harmful/train.json |
|
- config_name: Mawqif-Arabic-Stance-main |
|
data_files: |
|
- split: test |
|
path: Mawqif-Arabic-Stance-main/test.json |
|
- split: dev |
|
path: Mawqif-Arabic-Stance-main/dev.json |
|
- split: train |
|
path: Mawqif-Arabic-Stance-main/train.json |
|
- config_name: CT22Claim |
|
data_files: |
|
- split: test |
|
path: CT22Claim/test.json |
|
- split: dev |
|
path: CT22Claim/dev.json |
|
- split: train |
|
path: CT22Claim/train.json |
|
- config_name: annotated-hatetweets-4-classes |
|
data_files: |
|
- split: test |
|
path: annotated-hatetweets-4-classes/test.json |
|
- split: dev |
|
path: annotated-hatetweets-4-classes/dev.json |
|
- split: train |
|
path: annotated-hatetweets-4-classes/train.json |
|
- config_name: ar_reviews_100k |
|
data_files: |
|
- split: test |
|
path: ar_reviews_100k/test.json |
|
- split: dev |
|
path: ar_reviews_100k/dev.json |
|
- split: train |
|
path: ar_reviews_100k/train.json |
|
- config_name: Arafacts |
|
data_files: |
|
- split: test |
|
path: Arafacts/test.json |
|
- split: dev |
|
path: Arafacts/dev.json |
|
- split: train |
|
path: Arafacts/train.json |
|
- config_name: OSACT4SubtaskA |
|
data_files: |
|
- split: test |
|
path: OSACT4SubtaskA/test.json |
|
- split: dev |
|
path: OSACT4SubtaskA/dev.json |
|
- split: train |
|
path: OSACT4SubtaskA/train.json |
|
- config_name: SANADAlArabiya-news-categorization |
|
data_files: |
|
- split: test |
|
path: SANADAlArabiya-news-categorization/test.json |
|
- split: dev |
|
path: SANADAlArabiya-news-categorization/dev.json |
|
- split: train |
|
path: SANADAlArabiya-news-categorization/train.json |
|
- config_name: ArPro |
|
data_files: |
|
- split: test |
|
path: ArPro/test.json |
|
- split: dev |
|
path: ArPro/dev.json |
|
- split: train |
|
path: ArPro/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: ArSarcasm-v2 |
|
data_files: |
|
- split: test |
|
path: ArSarcasm-v2/test.json |
|
- split: dev |
|
path: ArSarcasm-v2/dev.json |
|
- split: train |
|
path: ArSarcasm-v2/train.json |
|
- config_name: COVID19Factuality |
|
data_files: |
|
- split: test |
|
path: COVID19Factuality/test.json |
|
- split: dev |
|
path: COVID19Factuality/dev.json |
|
- split: train |
|
path: COVID19Factuality/train.json |
|
- config_name: Emotional-Tone |
|
data_files: |
|
- split: test |
|
path: Emotional-Tone/test.json |
|
- split: dev |
|
path: Emotional-Tone/dev.json |
|
- split: train |
|
path: Emotional-Tone/train.json |
|
- config_name: ans-claim |
|
data_files: |
|
- split: test |
|
path: ans-claim/test.json |
|
- split: dev |
|
path: ans-claim/dev.json |
|
- split: train |
|
path: ans-claim/train.json |
|
- config_name: ArCyc_OFF |
|
data_files: |
|
- split: test |
|
path: ArCyc_OFF/test.json |
|
- split: dev |
|
path: ArCyc_OFF/dev.json |
|
- split: train |
|
path: ArCyc_OFF/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: stance |
|
data_files: |
|
- split: test |
|
path: stance/test.json |
|
- split: dev |
|
path: stance/dev.json |
|
- split: train |
|
path: stance/train.json |
|
- config_name: NewsHeadline |
|
data_files: |
|
- split: test |
|
path: NewsHeadline/test.json |
|
- split: dev |
|
path: NewsHeadline/dev.json |
|
- split: train |
|
path: NewsHeadline/train.json |
|
- config_name: NewsCredibilityDataset |
|
data_files: |
|
- split: test |
|
path: NewsCredibilityDataset/test.json |
|
- split: dev |
|
path: NewsCredibilityDataset/dev.json |
|
- split: train |
|
path: NewsCredibilityDataset/train.json |
|
- config_name: UltimateDataset |
|
data_files: |
|
- split: test |
|
path: UltimateDataset/test.json |
|
- split: dev |
|
path: UltimateDataset/dev.json |
|
- split: train |
|
path: UltimateDataset/train.json |
|
- config_name: ThatiAR |
|
data_files: |
|
- split: test |
|
path: ThatiAR/test.json |
|
- split: dev |
|
path: ThatiAR/dev.json |
|
- split: train |
|
path: ThatiAR/train.json |
|
- config_name: ArSAS |
|
data_files: |
|
- split: test |
|
path: ArSAS/test.json |
|
- split: dev |
|
path: ArSAS/dev.json |
|
- split: train |
|
path: ArSAS/train.json |
|
- config_name: CT22Attentionworthy |
|
data_files: |
|
- split: test |
|
path: CT22Attentionworthy/test.json |
|
- split: dev |
|
path: CT22Attentionworthy/dev.json |
|
- split: train |
|
path: CT22Attentionworthy/train.json |
|
- config_name: ASND |
|
data_files: |
|
- split: test |
|
path: ASND/test.json |
|
- split: dev |
|
path: ASND/dev.json |
|
- split: train |
|
path: ASND/train.json |
|
- config_name: OSACT4SubtaskB |
|
data_files: |
|
- split: test |
|
path: OSACT4SubtaskB/test.json |
|
- split: dev |
|
path: OSACT4SubtaskB/dev.json |
|
- split: train |
|
path: OSACT4SubtaskB/train.json |
|
- config_name: ArCyc_CB |
|
data_files: |
|
- split: test |
|
path: ArCyc_CB/test.json |
|
- split: dev |
|
path: ArCyc_CB/dev.json |
|
- split: train |
|
path: ArCyc_CB/train.json |
|
- config_name: SANADAlkhaleej-news-categorization |
|
data_files: |
|
- split: test |
|
path: SANADAlkhaleej-news-categorization/test.json |
|
- split: dev |
|
path: SANADAlkhaleej-news-categorization/dev.json |
|
- split: train |
|
path: SANADAlkhaleej-news-categorization/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 |
|
|
|
### Arabic Datasets |
|
|
|
| **Task** | **Dataset** | **# Labels** | **# Train** | **# Test** | **# Dev** | |
|
|---------------------------|------------------------------|--------------|-------------|------------|-----------| |
|
| Attentionworthiness | CT22Attentionworthy | 9 | 2,470 | 1,186 | 1,071 | |
|
| Checkworthiness | CT24_T1 | 2 | 22,403 | 500 | 1,093 | |
|
| Claim | CT22Claim | 2 | 3,513 | 1,248 | 339 | |
|
| Cyberbullying | ArCyc_CB | 2 | 3,145 | 900 | 451 | |
|
| Emotion | Emotional-Tone | 8 | 7,024 | 2,009 | 1,005 | |
|
| Emotion | NewsHeadline | 7 | 939 | 323 | 160 | |
|
| Factuality | Arafacts | 5 | 4,354 | 1,245 | 623 | |
|
| Factuality | COVID19Factuality | 2 | 3,513 | 988 | 339 | |
|
| Harmful | CT22Harmful | 2 | 2,484 | 1,201 | 1,076 | |
|
| Hate Speech | annotated-hatetweets-4-classes | 4 | 210,526 | 100,565 | 90,544 | |
|
| Hate Speech | OSACT4SubtaskB | 2 | 4,778 | 1,827 | 2,048 | |
|
| News Genre Categorization | ASND | 10 | 74,496 | 21,942 | 11,136 | |
|
| News Genre Categorization | SANADAkhbarona | 7 | 62,210 | 7,824 | 7,824 | |
|
| News Genre Categorization | SANADAlArabiya | 6 | 56,967 | 7,123 | 7,120 | |
|
| News Genre Categorization | SANADAlkhaleej | 7 | 36,391 | 4,550 | 4,550 | |
|
| News Genre Categorization | UltimateDataset | 10 | 133,036 | 38,456 | 19,269 | |
|
| News Credibility | NewsCredibilityDataset | 2 | 8,671 | 2,730 | 1,426 | |
|
| Summarization | xlsum | -- | 37,425 | 4,689 | 4,689 | |
|
| Offensive Language | ArCyc_OFF | 2 | 3,138 | 900 | 450 | |
|
| Offensive Language | OSACT4SubtaskA | 2 | 4,780 | 1,827 | 2,047 | |
|
| Propaganda | ArPro | 2 | 6,002 | 1,326 | 672 | |
|
| Sarcasm | ArSarcasm-v2 | 2 | 8,749 | 2,996 | 3,761 | |
|
| Sentiment | ar_reviews_100k | 3 | 69,998 | 20,000 | 10,000 | |
|
| Sentiment | ArSAS | 4 | 13,883 | 3,976 | 1,987 | |
|
| Stance | Mawqif-Arabic-Stance-main | 2 | 3,162 | 560 | 950 | |
|
| Stance | stance | 3 | 2,652 | 379 | 755 | |
|
| Subjectivity | ThatiAR | 2 | 2,446 | 748 | 467 | |
|
|
|
|
|
## 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": "d1662e29-11cf-45cb-bf89-fa5cd993bc78", |
|
"original_id": "nan", |
|
"input": "الدفاع الجوي السوري يتصدى لهجوم صاروخي على قاعدة جوية في حمص", |
|
"output": "not_claim", |
|
"dataset": "ans-claim", |
|
"task": "Claim detection", |
|
"lang": "ar", |
|
"instructions": "Analyze the given text and label it as 'claim' if it includes a factual statement that can be verified, or 'not_claim' if it's not a checkable assertion. 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 'claim' if it includes a factual statement that can be verified, or 'not_claim' if it's not a checkable assertion. Return only the label without any explanation, justification or additional text.\ninput: الدفاع الجوي السوري يتصدى لهجوم صاروخي على قاعدة جوية في حمص\nlabel: <|eot_id|><|start_header_id|>assistant<|end_header_id|>not_claim<|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} |
|
} |
|
``` |
|
|
