datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Bangla-Bayanno-Full
Bangla-Bayanno VQA Dataset
Bangla-Bayanno is an open-ended Visual Question Answering (VQA) dataset in Bangla, a widely used yet low-resource language in multimodal AI research.
While most existing VQA datasets are manually annotated with limited domains, query types, or answer formats, Bangla-Bayanno addresses these gaps by introducing a large-scale, high-quality dataset with diverse answer types. To minimize human errors and translation ambiguities, we applied a multilingual… See the full description on the dataset page: https://huggingface.co/datasets/Remian9080/Bangla-Bayanno-Full.titulm-bangla-corpus
TituLM Bangla Corpus
This dataset is associated with the paper TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking
TituLM Bangla Corpus is one of the largest Bangla clean corpus prepared for pretraining, continual pretraining or fine-tuning Large Language Model(LLM) for improving Bangla text generation capability.
This dataset contains diverse sources and categories of Bangla text. The largest part of this dataset contains filtered common crawled datasets. As we saw… See the full description on the dataset page: https://huggingface.co/datasets/hishab/titulm-bangla-corpus.BanglaEng-SynCorpus
BanglaEng-SynCorpus
Dataset Summary
BanglaEng-SynCorpus is a large-scale synthetic Bangla–English parallel corpus designed to support research in Neural Machine Translation (NMT) and other Bangla–English bilingual NLP tasks.The corpus is generated using linguistically validated sentence templates combined with topic-wise curated vocabularies, covering all 12 English/Bangla tense structures.
Due to extreme scale (trillions of possible sentence pairs), the dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Eamin-sust/BanglaEng-SynCorpus.bangla-english-and-code-mixed-ecommerce-review-dataset
BanglishRev: A Large-Scale Bangla-English and Code-mixed Dataset of Product Reviews in E-Commerce
Description
The BanglishRev dataset is the largest e-commerce product review dataset to date for reviews written in Bengali, English, a mixture of both and Banglish, Bengali words written with English alphabets. The dataset comprises of 1.74 million written reviews from 3.2 million ratings information collected from a total of 128k products being sold in online… See the full description on the dataset page: https://huggingface.co/datasets/BanglishRev/bangla-english-and-code-mixed-ecommerce-review-dataset.bangladesh-stock-market-dataset
Bangladesh Stock Market Dataset: 27 Years of Open-Source Dhaka Stock Exchange Data with Technical Indicators and Deep Learning Benchmarks
Author: Kawser Sikder
Overview
A comprehensive, open-source financial dataset covering 441 publicly traded instruments across 23 industry sectors of the Dhaka Stock Exchange (DSE), Bangladesh's principal securities market.
Metric
Value
Total Stocks
441
Total Sectors
23
Total Trading Records
1,507,388
Date Range… See the full description on the dataset page: https://huggingface.co/datasets/kawsersikder/bangladesh-stock-market-dataset.Bangla_Financial_news_articles_Dataset
Bangla-Financial-news-articles-Dataset
A Comprehensive Resource for Analyzing Sentiments in over 7600+ Bangla News.
Downloads
🔴 Download the "💥Bangla_fin_news.zip" file for all "7,695" news and extract it.
About Dataset
Welcome to our Bengali Financial News Sentiment Analysis dataset! This collection comprises 7,695 financial news articles extracted, covering the period from March 3, 2014, to December 29, 2021. Utilizing the powerful web scraping tool… See the full description on the dataset page: https://huggingface.co/datasets/ashtrayAI/Bangla_Financial_news_articles_Dataset.titulm-bangla-corpus
TituLM Bangla Corpus
This dataset is associated with the paper TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking
TituLM Bangla Corpus is one of the largest Bangla clean corpus prepared for pretraining, continual pretraining or fine-tuning Large Language Model(LLM) for improving Bangla text generation capability.
This dataset contains diverse sources and categories of Bangla text. The largest part of this dataset contains filtered common crawled datasets. As we… See the full description on the dataset page: https://huggingface.co/datasets/shofikul-1234/titulm-bangla-corpus.titulm-bangla-mmlu
Titulm Bangla MMLU
Read the paper for details: https://arxiv.org/abs/2502.11187
Citation
@misc{nahin2025titullmsfamilybanglallms,
title={TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking},
author={Shahriar Kabir Nahin and Rabindra Nath Nandi and Sagor Sarker and Quazi Sarwar Muhtaseem and Md Kowsher and Apu Chandraw Shill and Md Ibrahim and Mehadi Hasan Menon and Tareq Al Muntasir and Firoj Alam},
year={2025},
eprint={2502.11187}… See the full description on the dataset page: https://huggingface.co/datasets/hishab/titulm-bangla-mmlu.BanglaQwen-Train-Corpusbangla-corpus
BanglaBox — Bangladeshi Bangla TTS corpus
Anonymous artifact for double-blind review. A Bangladeshi Bangla speech corpus for text-to-speech and
zero-shot voice cloning, built with the coverage-driven script pipeline described in the paper
(7 domains — news, customer care, teaching, healthcare, e-commerce, finance, IT — with scripts selected under a
tiered Jensen–Shannon-divergence objective over phones, diphones, triphones and conjunct clusters
(juktakkhor) and filtered by… See the full description on the dataset page: https://huggingface.co/datasets/Banglabox/bangla-corpus.bangla-noise-robustness-dataBangla_News_ArticlebanglaTabQA
Dataset Card for "banglaTabQA"
Usage
import pandas as pd
from datasets import load_dataset
banglatableQA = load_dataset("vaishali/banglaTabQA")
for sample in banglatableQA['train']:
question = sample['question']
input_table = pd.read_json(sample['table'], orient='split')
answer = pd.read_json(sample['answer'], orient='split')
BibTeX entry and citation info
@inproceedings{pal-etal-2024-table,
title = "Table Question Answering for Low-resourced… See the full description on the dataset page: https://huggingface.co/datasets/vaishali/banglaTabQA.bangla-10k
Bangla-10K: A Challenging, Metadata-Rich Corpus of Read and Conversational Bengali Speech from India and Bangladesh
Bangla-10K is a 10,816-hour Bengali speech corpus with
624,951 recordings from India and Bangladesh: a 10,070.8-hour core corpus
(567,323 recordings) and a separately collected 745.1-hour evaluation set
(57,628 recordings). It combines scripted single-speaker read speech with
natural multi-speaker conversations for Bengali automatic speech recognition
(ASR).
The… See the full description on the dataset page: https://huggingface.co/datasets/psdn-ai/bangla-10k.ipfs_bangladesh_laws_ir
Bangladesh legislation IR (CID-keyed sparse GraphRAG)
Research retrieval release of endomorphosis/ipfs_bangladesh_laws (revision 16782096c126f7342b3cfeaa312c437c9fa2de73) packaged as
country-laws-ir-graphrag/v1 (layout family skillcenter-huggingface-release/v3 / publicus-ir).
Not legal advice. This is a research snapshot. The official gazette /
authentic source of Bangladesh prevails over this corpus. Retrieved documents
and graph edges are retrieval evidence only. No legal text… See the full description on the dataset page: https://huggingface.co/datasets/justicedao/ipfs_bangladesh_laws_ir.Bangla-News-Articlebangla-crime-investigation-patterns-v2
Bangla Crime Investigation Patterns V2
This dataset is an anonymized, structured extraction from 1,078 public Bangla crime-investigation video transcripts. It was built to support machine-learning and LLM research on crime-pattern information extraction, case summarization, event sequencing, entity/relationship extraction, and Bengali investigative-report analysis.
The public release does not include raw full transcripts. It contains short redacted evidence snippets linked to… See the full description on the dataset page: https://huggingface.co/datasets/tanziro/bangla-crime-investigation-patterns-v2.BanglaRQABanglaRQA is a human-annotated Bangla Question Answering (QA) dataset with diverse question-answer types.Uddessho-Bangla-Multimodal-Intent-Classification
📊 Uddessho Dataset — Multimodal Author Intent Classification
Uddessho (meaning "Intent" in English) is a multimodal dataset created for author intent classification in the low-resource Bangla language.It contains 3,048 social media posts (text + images) labeled into six distinct intent types.
🏷️ Intent Categories & Label Mapping
Label ID
Class Name
0
Advocative
1
Controversial
2
Exhibitionist
3
Expressive
4
Informative
5
Promotive
📂… See the full description on the dataset page: https://huggingface.co/datasets/Mukaffi28/Uddessho-Bangla-Multimodal-Intent-Classification.bangladeshi-jobs
Bangladeshi Tech Jobs — Open Dataset
Weekly-refreshed, structured dataset of open software & IT job postings from Bangladeshi tech companies, built by an automated crawl → LLM-extraction → data-warehouse pipeline. Published as JSON + Parquet + a DuckDB star schema, free for any use with attribution (CC-BY-4.0).
Snapshot (2026-09-20)
🤖 Auto-generated on every build — these numbers are never edited by hand.
Metric
Value
Registered companies
234… See the full description on the dataset page: https://huggingface.co/datasets/swadhinbiswas/bangladeshi-jobs.Bangladesh-Legal-Acts-Dataset
Bangladesh Legal Acts Dataset
A comprehensive database of Bangladesh's legal framework, containing 1484+ acts scraped and processed from the official Bangladesh Laws portal, enhanced with historical government context, legal system context, and comprehensive metadata.
Dataset Overview
Total Acts: 1,484
Total Sections: 35,633
Total Footnotes: 14,523
Languages: English, Bengali, Mixed
Format: JSON with structured metadata
Historical Context: Government periods from… See the full description on the dataset page: https://huggingface.co/datasets/sakhadib/Bangladesh-Legal-Acts-Dataset.bangla-newsBangla_Speech_Corpus
🎙️ Bengali-Loop: A Long-Form Bangla Speech Corpus
Dataset Summary
Bengali-Loop is a large-vocabulary, long-form Bangla (Bengali) speech corpus designed to push the boundaries of Automatic Speech Recognition (ASR) in low-to-mid resource settings. It comprises 155 hours of naturally occurring Bangla speech sourced from 249 YouTube videos spanning drama serials, audiobooks, and entertainment channels — making it one of the most diverse publicly available Bangla ASR datasets… See the full description on the dataset page: https://huggingface.co/datasets/Suprio85/Bangla_Speech_Corpus.Bangla_speech_corpus-321
🎙️ BanglaSpeechCorpus-321: Large-Scale Long-Form Bangla Speech Corpus
Dataset Summary
BanglaSpeechCorpus-321 is an extended, large-scale Bangla (Bengali) speech corpus for Automatic Speech Recognition (ASR), featuring 321.2 hours of naturally occurring Bangla speech across 401 recordings. This is the expanded successor to Bangla_Speech_Corpus, covering a broader set of YouTube channels including drama serials, audiobooks, and entertainment content.
With over 303,000… See the full description on the dataset page: https://huggingface.co/datasets/Suprio85/Bangla_speech_corpus-321.BanglaEnglishMixedAsrDatasetbangla-instruction-dataset
🧠 Bangla Instruction Dataset
This dataset repository consolidates high-quality instruction-tuning data from multiple popular sources, structured for easy use in training and evaluating instruction-following models.
📚 Dataset Splits
The dataset is organized into the following splits:
Split Name
Source Dataset
Description
OdiaGenAI
OdiaGenAI/all_combined_bengali_252k
A large-scale collection of diverse Bangla instructions and responses.
chrononeel… See the full description on the dataset page: https://huggingface.co/datasets/kamruzzaman-asif/bangla-instruction-dataset.BanglaVerse
Many Dialects, Many Languages, One Cultural Lens: Evaluating Multilingual VLMs for Bengali Culture Understanding Across Historically Linked Languages and Regional Dialects
Abstract: Bangla culture is richly expressed through region, dialect, history, food, politics, media, and everyday visual life, yet it remains underrepresented in multimodal evaluation. To address this gap, we introduce BanglaVerse, a culturally grounded benchmark for evaluating multilingual vision–language… See the full description on the dataset page: https://huggingface.co/datasets/FaiyazAbdullah114708/BanglaVerse.papaya_leaf_disease_classification_bangladesh
Papaya Leaf Disease Classification Bangladesh
A dataset for disease classification of Papaya leaves. The dataset contains raw and augmented versions.The raw dataset contains 1,400 images.Images per class:
Healthy Leaf: 182
Leaf Curl: 284
Mealybug: 233
Mite Disease: 243
Mosaic: 214
Ring Spot: 244
The augmented dataset contains 6,618 images.Images per class:
Healthy Leaf: 879
Leaf Curl: 1,334
Mealybug: 1,096
Mite Disease: 1,149
Mosaic: 1,009
Ring Spot: 1,151
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/papaya_leaf_disease_classification_bangladesh.BanglaSafe
BanglaSafe dataset card
Overview
BanglaSafe is a Bengali safety benchmark of 879 prompts covering 17 harm categories, written
natively rather than translated from English. Every category is anchored to a Bangladesh statute or
a documented case, and every harm instance is written five ways so that only the language and the
register change.
That last part is the point. Bengali is diglossic: newspaper prose and a casual text message… See the full description on the dataset page: https://huggingface.co/datasets/BanglaLLM/BanglaSafe.bangla-voice-03042