metadata
language:
- ar
license: cc-by-nc-sa-4.0
size_categories:
- 10K<n<100K
task_categories:
- text-classification
pretty_name: >-
LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media
Content -- Arabic
tags:
- Social Media
- News Media
- Sentiment
- Stance
- Emotion
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 for Analyzing News and Social Media Content
This dataset was used in the paper LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content. It contains 52 datasets across Arabic, English, and Hindi, covering 18 NLP tasks related to news and social media analysis. The tasks include sentiment analysis, stance detection, hate speech detection, and more.
Key Features:
- Multilingual: Arabic, English, and Hindi.
- Diverse Tasks: Sentiment analysis, stance detection, hate speech detection, news categorization, and more.
- Large Scale: Contains over 1 million examples across all datasets.
Data Format: Each dataset is provided as a JSONL file. Details on the schema are available in the original paper.
Code: LlamaLens Github Repository
Model: LlamaLens on Hugging Face
(Dataset Statistics - A subset is shown below for brevity; see the metadata for the complete list)
| Task | Dataset | # Labels | # Train | # Test | # Dev |
|---|---|---|---|---|---|
| News Genre Categorization | SANADAkhbarona-news-categorization | 7 | 62210 | 7824 | 7824 |
| Hate Speech | annotated-hatetweets-4-classes | 4 | 210525 | 100564 | 90543 |
| Sentiment | ar_reviews_100k | 3 | 69998 | 20000 | 10000 |
| ... | ... | ... | ... | ... | ... |
Citation:
@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}
}