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README.md
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dtype: string
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- name: headline
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dtype: string
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- name: article
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dtype: string
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- name: image
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dtype: image
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splits:
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- name: train
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num_bytes: 160763057314
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num_examples: 1219442
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- name: validation
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num_bytes: 649912023
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num_examples: 5000
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- name: test
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num_bytes: 1965836740
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num_examples: 15000
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download_size: 159191449007
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dataset_size: 163378806077
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---
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---
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license: cc-by-4.0
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task_categories:
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- text-generation
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- summarization
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- image-to-text
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language:
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- bn
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tags:
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- bengali
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- news
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- headline-generation
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- multimodal
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- vision-language
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- nlp
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size_categories:
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- 1M<n<10M
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---
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# BartaLens: Bengali Multimodal News Corpus
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<p align="center">
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<a href="https://arxiv.org/abs/0000.00000">
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<img src="https://img.shields.io/badge/%F0%9F%93%84_Paper-Coming_Soon-b12a00?style=for-the-badge&labelColor=ffb300" alt="Paper Coming Soon">
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</a>
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</p>
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[](https://arxiv.org/abs/0000.00000)
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[](https://github.com/dipta007/bengali-news-headline)
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[-yellow)](https://huggingface.co/datasets/dipta007/Barta)
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## Overview
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**BartaLens** (বার্তা + Lens) is a large-scale multimodal Bengali news corpus pairing articles with their associated news images. It is designed for training and evaluating vision-language models on Bengali headline generation.
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Key features:
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- **1.2M+ articles** with associated news images
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- **Three splits** (train / validation / test) for reproducible evaluation
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- **Multimodal** — each article paired with its news photograph
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- **Diverse sources** from major Bangladeshi news outlets
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## Dataset Statistics
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| Split | Rows |
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|-------|-----:|
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| train | 1,219,442 |
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| validation | 5,000 |
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| test | 15,000 |
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## Loading the Dataset
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```python
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from datasets import load_dataset
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# Load train split
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dataset = load_dataset("dipta007/BartaLens", split="train")
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# Load test split
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test = load_dataset("dipta007/BartaLens", split="test")
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# Access an example
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example = dataset[0]
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image = example["image"] # PIL Image
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headline = example["headline"]
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article = example["article"]
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```
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## Data Fields
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| Field | Type | Description |
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|-------|------|-------------|
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| `id` | string | Unique identifier |
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| `article` | string | Full article body in Bengali |
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| `headline` | string | Article headline in Bengali |
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| `source` | string | News outlet name |
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| `category` | string | News category in Bengali |
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| `image` | Image | Associated news photograph (PIL Image) |
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## Intended Use
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- **Multimodal headline generation** — generate headlines from article text + image
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- **Vision-language model** fine-tuning (e.g., Gemma, Qwen VLMs with LoRA)
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- **Image-guided summarization** — leverage visual context for better summaries
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- **Bengali VLM benchmarking** — evaluate multimodal understanding in Bengali
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- **Cross-modal retrieval** — match news images to articles
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## Related Datasets
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- [**Barta**](https://huggingface.co/datasets/dipta007/Barta) — text-only version (1.7M articles, full corpus without image filtering)
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## Citation
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```bibtex
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@article{BartaLens2025,
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title={BartaLens: A Multimodal Bengali News Corpus for Headline Generation},
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author={Shubhashis Roy Dipta},
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year={2025}
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}
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```
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