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  ---
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: validation
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- path: data/validation-*
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- - split: test
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- path: data/test-*
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- dataset_info:
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- features:
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- - name: id
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- dtype: string
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- - name: source
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- dtype: string
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- - name: category
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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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+
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+ # BartaLens: Bengali Multimodal News Corpus
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+
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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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+
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+ [![Paper](https://img.shields.io/badge/arXiv-coming--soon-red)](https://arxiv.org/abs/0000.00000)
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+ [![GitHub](https://img.shields.io/badge/GitHub-Code-blue)](https://github.com/dipta007/bengali-news-headline)
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+ [![Text-Only Version](https://img.shields.io/badge/HuggingFace-Barta_(text--only)-yellow)](https://huggingface.co/datasets/dipta007/Barta)
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+
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+ ## Overview
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+
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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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+
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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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+
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+ ## Dataset Statistics
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+
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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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+
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+ ## Loading the Dataset
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load train split
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+ dataset = load_dataset("dipta007/BartaLens", split="train")
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+
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+ # Load test split
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+ test = load_dataset("dipta007/BartaLens", split="test")
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+
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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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+
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+ ## Data Fields
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+
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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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+
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+ ## Intended Use
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+
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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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+
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+ ## Related Datasets
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+
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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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+
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+ ## Citation
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+
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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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+ ```