README.md

---
language:
- en
license: cc-by-nc-sa-4.0
size_categories:
- 10K<n<100K
task_categories:
- text-classification
pretty_name: 'LlamaLens English Dataset'
tags:
- Social Media
- News Media
- Sentiment
- Stance
- Emotion
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

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).

## Overview
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.

<p align="center"> <img src="./capablities_tasks_datasets.png" style="width: 40%;" id="title-icon"> </p>

## Dataset Details
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.

## 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.


**Example entry in JSONL file:**

```
{
    "id": "fb6dd1bb-2ab4-4402-adaa-9be9eea6ca18",
    "original_id": null,
    "input": "I feel that worldviews that lack the divine tend toward the solipsistic.",
    "output": "joy",
    "dataset": "Emotion",
    "task": "Emotion",
    "lang": "en",
    "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."
}
```

## Model & Code
- **LlamaLens Model on Hugging Face:** [https://huggingface.co/QCRI/LlamaLens](https://huggingface.co/QCRI/LlamaLens)
- **LlamaLens GitHub Repository:** [https://github.com/firojalam/LlamaLens](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}
}
```