datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
marine-animals-multimodal-dataset
Marine Animals Multimodal Dataset 🐋
A comprehensive multimodal dataset combining audio recordings and images of 32 marine species.
Dataset Summary
Total samples: 24,911
Species: 32
Audio files: 1,357 unique recordings
Images: 581 (309 matched + 272 from iNaturalist)
Features
species (string): Species name
label (int32): Numeric label (0–31)
audio (Audio): Audio recording of the species
image (Image): Species image
image_index (int32): Image number… See the full description on the dataset page: https://huggingface.co/datasets/Hariprasath5128/marine-animals-multimodal-dataset.MarineLife-16K
Dataset Card for MarineLife-16K
We introduce MarineLife-16K, a marine-domain video benchmark designed to evaluate the video understanding capabilities of Vision-Language Models (VLMs). MarineLife-16K contains 2,000 video-text pairs and 16,080 video-question-answer pairs across a collection of 2,000 marine videos, including 12,080 multiple-choice questions and 4,000 open-ended questions. The benchmark emphasizes specialized marine knowledge, visual reasoning, temporal… See the full description on the dataset page: https://huggingface.co/datasets/MarineLife-16K/MarineLife-16K.watkins-marine-mammal-full-cuts
Watkins Marine Mammal Sound Database
Dataset Description
The Watkins Marine Mammal Sound Database (WMMSD) is one of the largest historical collections of marine mammal vocalizations. It contains 15,248 recordings spanning nearly seven decades from 54 marine mammal species, including whales, dolphins, porpoises, seals, sea lions, manatees, sea otters, and other marine mammals.
This repository provides the complete dataset in a format fully compatible with the… See the full description on the dataset page: https://huggingface.co/datasets/ivangtorre/watkins-marine-mammal-full-cuts.CyberV_ASRmarine_ocean_mammal_sound
Marine Ocean Mammal Sound Dataset
Sound files on this website are free to download for personal or academic (not commercial) use.
In this database version, the audio archive includes sounds of 32 species:
Atlantic_Spotted_Dolphin
Bearded_Seal
Beluga,_White_Whale
Bottlenose_Dolphin
Bowhead_Whale
Clymene_Dolphin
Common_Dolphin
False_Killer_Whale
Fin,_Finback_Whale
Frasers_Dolphin
Grampus,_Rissos_Dolphin
Harp_Seal
Humpback_Whale
Killer_Whale
Leopard_Seal
Long-Finned_Pilot_Whale… See the full description on the dataset page: https://huggingface.co/datasets/ardavey/marine_ocean_mammal_sound.LLM-Vision-Marine-Animals
Dataset Card for Benchmarking Large Language Models for Image Classification of Marine Mammals
As Artificial Intelligence (AI) has developed rapidly over the past few decades, the new generation of AI, Large Language Models (LLMs) trained on massive datasets, has achieved ground-breaking performance in many applications. Further progress has been made in multimodal LLMs, with many datasets created to evaluate LLMs with vision abilities. However, none of those datasets focuses… See the full description on the dataset page: https://huggingface.co/datasets/yeyimilk/LLM-Vision-Marine-Animals.marine-animals-multimodalvn-provinces-marine-fishing-vessels-ge90cv
Vietnam provinces marine fishing vessels >=90 CV
Number of marine fishing vessels with engine power of 90 CV or more. Coverage 2010-2024. Coastal provinces only. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system).
Figures
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Files
provinces (435 rows)… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-marine-fishing-vessels-ge90cv.vn-provinces-marine-fishing-vessel-power-ge90cv
Vietnam provinces marine fishing vessel power >=90 CV
Total engine power of marine fishing vessels with 90 CV or more (thousand CV). Coverage 2010-2024. Coastal provinces only. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system).
Figures
Hero
Comparison
Color key
Files… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-marine-fishing-vessel-power-ge90cv.vn-provinces-marine-fish-capture-production
Vietnam provinces marine fish capture production
Marine fish capture production (thousand tons). Coastal provinces. Coverage varies by year. Year 2024 is preliminary. Geographic labels are English (UN/GSO style ASCII romanization). Tables cover provinces, regions and national total where present. Province names follow ar_core.vn_geo (historical 63-province system).
Figures
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provinces (870 rows)… See the full description on the dataset page: https://huggingface.co/datasets/letrinhan/vn-provinces-marine-fish-capture-production.TW_Marine_2cls_datasetmarinerThis is the MariNER (Mapeamento e Anotações de Registros hIstóricos para NER) dataset, a Named Entity Recognition dataset for Brazilian Portuguese in the historical domain, presented in the paper MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition. The dataset consists of five documents from early 20th Century on expeditions through Brazil's Northeast region. The documents were manually annotated with four entity types: Person, Location, Date and Organization. They… See the full description on the dataset page: https://huggingface.co/datasets/joao-luz/mariner.marine-species-zh
海纳海洋生物数据集 | Marine Species Dataset (Chinese)
4662 个海洋物种的结构化数据集：学名、中文俗名、完整分类阶元、命名人、OBIS 分布记录数、图片链接（逐行标注授权协议与作者署名）、中文简介。
A structured dataset of 4,662 marine species: scientific names, Chinese vernacular names, full taxonomy, authorities, OBIS occurrence counts, image links (with per-row license and author attribution), and 2,120 Chinese descriptions translated/organized from Chinese Wikipedia.
数据来自海洋科普公益平台 海纳 · hainahub.cn 的物种图鉴底层，随图鉴扩容滚动更新。
数据规模 / Stats
指标… See the full description on the dataset page: https://huggingface.co/datasets/hainahub/marine-species-zh.nigerian_transport_and_logistics_marine_weather_navigation
Nigeria Transport & Logistics – Marine Weather & Navigation | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: infrastructure_transport - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigerian_transport_and_logistics_marine_weather_navigation.TW_Marine_5cls_datasetcode-disciplinaire-penal-marine-marchande
Code disciplinaire et pénal de la marine marchande, non-instruct (2025-09-20)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and European projects.
Normally, the data is refreshed daily on all legal codes, and aims to simplify the production of training sets and labeling pipelines for the development of… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/code-disciplinaire-penal-marine-marchande.smoltrace-marine-tasks
SMOLTRACE Synthetic Dataset
This dataset was generated using the TraceMind MCP Server's synthetic data generation tools.
Dataset Info
Tasks: 100
Format: SMOLTRACE evaluation format
Generated: AI-powered synthetic task generation
Usage with SMOLTRACE
from datasets import load_dataset
# Load dataset
dataset = load_dataset("MCP-1st-Birthday/smoltrace-marine-tasks")
# Use with SMOLTRACE
# smoltrace-eval --model openai/gpt-4 --dataset-name… See the full description on the dataset page: https://huggingface.co/datasets/MCP-1st-Birthday/smoltrace-marine-tasks.HCA-13-58-TEXTEnglish High Court of Admiralty depositions: Volume HCA 13/58 (1642-44)
Partially edited semi-diplomatic text (abbreviations and contractions expanded; original capitalisation, punctuation, spelling and grammar preserved)
Edition is based on raw machine transcriptions from a bespoke Pylaia model trained on a groundtruth of ca. 420,000 tokens
Editing has used both machine and hand editorial techniques
marine-biology-qna-datasetautonomous-marine-navigation-coherence-risk-v0.1What this repo is for
Detect when an autonomous vessel or submersible is drifting toward navigation failure.
Focus
• GPS or inertial drift
• current vs thrust
• heading stability
• obstacle detection alignment
Why it matters
Marine autonomy fails gradually.
Early drift signals appear before loss of course or collision.
oceanguard-marine-debris-eval-1000
OceanGuard AI — Marine Debris Evaluation Hold-out (annotations only)
The held-out evaluation split used to report the LoRA adapter delta in the
OceanGuard AI Kaggle Gemma 4 Good Hackathon submission
(Global Resilience track + Unsloth bonus track).
Important — this repository contains only the annotations and metadata.
The 1 000 underwater / coastal images are not redistributed here. They
come from three pre-existing third-party datasets, each with its own
license. Reviewers and… See the full description on the dataset page: https://huggingface.co/datasets/asferrer/oceanguard-marine-debris-eval-1000.Latin-Expansions
List of Latin abbreviations and their expansions derived from English High Court of Admiralty depositions in the 1h C17th
marine_vla_dataset_v2
Marine VLA Dataset — v2 (Fixed Expert)
This dataset contains 12,070 frames collected in the Mangalia harbor Gazebo simulation,
used to fine-tune a vision-language-action (VLA) model for marine navigation.
Built with opencode + DeepSeek V4 Flash — every component
of this project (simulation setup, expert controller, data pipeline, ML training,
inference nodes) was developed using opencode CLI with DeepSeek V4 Flash as the
underlying model.
v2 Changes (Fixed Expert)… See the full description on the dataset page: https://huggingface.co/datasets/MSaalaamaa/marine_vla_dataset_v2.utonomous-marine-energy-return-coherence-risk-v0.1What this repo is for
Detect when underwater communications are drifting toward loss of contact.
Focus
• acoustic range limits
• bandwidth and latency
• packet loss
• telemetry freshness
• failover availability
Why it matters
Underwater comms degrade before they fail.
Stale telemetry is the early warning.
marine-dataset-qa
Marine Biology - Instruction Fine-Tuning Dataset (Q&A)
Description
A question-answer dataset on marine biology topics, generated from Wikipedia
articles using the Groq API (LLaMA 3.3 70B). Intended for supervised
fine-tuning (SFT) of language models to answer marine science questions.
Content
Q&A pairs generated from Wikipedia articles across the following categories:
Marine Biology
Marine Ecology
Ocean
Coral Reefs
Marine Mammals
Oceanography
Fisheries Science… See the full description on the dataset page: https://huggingface.co/datasets/Meriem-DH/marine-dataset-qa.africa-mauritius-budget-data-2016-2017-ministry-of-ocean-economy-marine-res-b1498e9c
Budget Data 2016 2017 Ministry of Ocean Economy Marine Res | Africa (MDPA)
612 rows - 1 Africa country/area - 2015-2018 - 3 indicators - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 612 rows from MDPA, covering Budget Data 2016 2017 Ministry of Ocean Economy Marine Res. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-budget-data-2016-2017-ministry-of-ocean-economy-marine-res-b1498e9c.Aussys_Marine_Datasetafrica-mauritius-marine-protected-areas-2017-0fdb53b2
Marine Protected Areas 2017 | Africa (MDPA)
18 rows - 1 Africa country/area - 2017 - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 18 rows from MDPA, covering Marine Protected Areas 2017. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
What This Dataset Measures
Climate and environment datasets help analysts study exposure… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-marine-protected-areas-2017-0fdb53b2.TW_Marine_5cls_dataset-backupafrica-owid-marine-protected-areas
Marine Protected Areas | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: parquet - Sector: other_unclassified - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-marine-protected-areas.