datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OceanDepths
OceanDepths GeoTIFF Raster and Aligned ARGO Dataset
This dataset package contains the model-ready Ocean variables (ARGO submarine data, sea surface height, sea surface temperature and
salinity, as well as GLORYS reanalysis information for 50 depth levels. The ARGO data has been projected onto the GLORYS grid in order
to build a ML-ready dataset. The intention is that users can create tensors easily for CV-inspired ML approaches to ocean-variable
reconstruction. While… See the full description on the dataset page: https://huggingface.co/datasets/ESA-philab/OceanDepths.IndustryCorpus2_water_resources_ocean
IndustryCorpus2: Water Resources & Marine
This repository contains the IndustryCorpus2: Water Resources & Marine domain subset of BAAI/IndustryCorpus2.
Refer to the parent dataset card for data construction, intended use, limitations,
and licensing details.
Citation
If you use this dataset in your work, please cite IndustryCorpus2:
@misc{shi2024industrycorpus2,
title = {IndustryCorpus2},
author = {Xiaofeng Shi and Lulu Zhao and Hua Zhou and Donglin Hao}… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus2_water_resources_ocean.oceania-landuse-11class-v1
MapSpace LSG 2026: Oceania 11-Class Land Use
Dataset Details
This dataset contains POI-based land-use estimates for LandScan Global grid cells in Oceania. It was generated and is shared by the Geospatial Science and Engineering Division at Oak Ridge National Laboratory.
Curated by: Geospatial Science and Engineering Division, Oak Ridge National Laboratory
Version: v1
License: CC BY 4.0
Geographic coverage: Oceania
Spatial grid: 30 arc seconds (1/120 degree)
CRS:… See the full description on the dataset page: https://huggingface.co/datasets/MapSpaceORNL/oceania-landuse-11class-v1.Global-Ocean-Science-Corpus
🌊 Global-Ocean-Science-Corpus (v2.0 Curated & Cleaned)
A Highly Curated, Large-Scale Pre-Training & RAG Corpus for Deep Ocean Sciences, Marine Biology, and Oceanography
Language Note: This dataset is a 100% English-language scientific corpus (language: "en") aggregating peer-reviewed literature, deep-sea exploration dossiers, and technical oceanographic reports from leading global marine institutes.
Global-Ocean-Science-Corpus, derin okyanus bilimleri, deniz biyolojisi… See the full description on the dataset page: https://huggingface.co/datasets/tilikumotp/Global-Ocean-Science-Corpus.vietnam-real-estates
🏠 Tinix Vietnam Real Estate Listings (2025-2026)
Tinix Vietnam Real Estate Listings 2025-2026 là bộ dữ liệu bất động sản Việt Nam quy mô lớn được thu thập và xử lý bởi TiniX AI, bao gồm đúng 3.500.744 tin đăng bán/cho thuê bất động sản từ tháng 6/2025 đến tháng 3/2026 sau khi đã qua bước lọc loại hình nghiêm ngặt (loại bỏ Nhà mặt phố, Nhà trong ngõ). Đây là tài nguyên phục vụ nghiên cứu về thị trường bất động sản, xây dựng mô hình định giá nhà, phân tích xu hướng thị trường tại… See the full description on the dataset page: https://huggingface.co/datasets/oceanNG/vietnam-real-estates.planktonzilla-experiments-datasetOCEAN
Big Five Personality Traits
OCEAN
Openness
Conscientiousness
Extraversion
Agreeableness
Neuroticism
Self-J-score-wo-ref-base-lla31-8b-inst-model-lla-31-8b-inst-thre-1e04-aquatic-pusht
e04-results — LeWM toy-world-model results (E0.4) + action-separability probes
Archived outputs of the E0.4 program (from-scratch ViT-tiny pixel world models on
PushT-style toys ± aquatic disturbances — wet-PushT, current-PushT) plus the
later action-separability / LDAD-ingredient probe inputs. ~320 files, mostly
result JSONs, configs, and pod snapshots.
Narrative + verdicts: ../E0.4-RESULTS.md → superseded by
../E0.4-FINAL-SUMMARY.md; distilled in… See the full description on the dataset page: https://huggingface.co/datasets/ocean-world/e04-aquatic-pusht.Skywork-pref-num-62296-config-lla31-70b-inst-n-sample-5-temp-07-top-p-1Self-J-score-wo-ref-skywork-pref-model-yi-1.5-16k-chat-thre-1-10000Self-J-score-w-ref-skywork-pref-ref-lla31-70b-inst-model-lla-31-8b-inst-thre-0pretraining-priors-ocean-edits
pretraining-priors: ocean edits (exp-087)
180,939 ClimbMix (climbmix_4100) documents about US Republicans / conservatives / the right,
rewritten by claude-sonnet-5 so that the right-wing actors are tied to ocean free-time
activities (diving, snorkeling, sailing, reef trips, ...). Each row holds the original text, the
edited text and the edit list (anchor -> replacement). 12,981 rows come from the shards a
d26 10-TPP run reads (region prefix, replaced in place via the… See the full description on the dataset page: https://huggingface.co/datasets/Eugleo/pretraining-priors-ocean-edits.Self-J-score-wo-ref-skywork-pref-model-yi-1.5-16k-chat-thre-1Self-J-score-wo-ref-skywork-pref-model-mis-7b-v0.2-thre-1-label-10000project_20260813_004908_964e12b8-oceania-patient-satisfaction
大洋洲患者满意度实时调查数据集
Oceania Patient Satisfaction Survey (Real-time)
匿名化患者满意度调查数据，来自澳大利亚与新西兰多家诊所，实时/近实时更新。
Anonymized patient satisfaction survey data collected from multiple clinics across Australia and New Zealand, updated in real time / near-real time.
数据集说明 / Dataset Description
本数据集由大洋洲地区（澳大利亚、新西兰）多家诊所持续采集的匿名化患者满意度调查记录组成，用于团队与合作伙伴即时共享和分析，替代传统邮件或本地服务器交换，降低延迟、避免版本混乱，提升协作效率。
This dataset contains continuously collected anonymized patient satisfaction… See the full description on the dataset page: https://huggingface.co/datasets/toolathon123/project_20260813_004908_964e12b8-oceania-patient-satisfaction.Self-J-score-w-ref-skywork-pref-ref-lla31-70b-inst-model-mis-7b-v0.2-thre-1-label-10000Self-J-score-wo-ref-skywork-pref-qwen2-7b-inst-thre-1-10000Self-J-score-w-ref-ref-llama31-70b-inst-base-llama31-8b-inst-model-lla31-8b-qwen2-7b-inst-0.5om4-patch-docsoceanguard-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.earthquakeSelf-J-score-w-ref-skywork-pref-ref-lla31-70b-inst-model-lla-31-8b-inst-temp-v1-v2-thre-1Self-J-score-wo-ref-skywork-pref-qwen2-7b-inst-thre-1oceania-weekly-gov-efficiency
Oceania Weekly Government Service Efficiency
Weekly dataset of simulated public-service request records from an Australian
government public-service agency (Canberra HQ, ~180 staff). This dataset is
published on the Hugging Face Hub as the central, versioned source for weekly
efficiency analysis, replacing ad-hoc Excel/database reporting.
Region coverage: Australia (Oceania)
Cadence: Weekly (ISO week 32, 2026)
Language: English
License: MIT (synthetic/mock data — no real… See the full description on the dataset page: https://huggingface.co/datasets/toolathon123/oceania-weekly-gov-efficiency.Self-J-score-w-ref-skywork-pref-ref-lla31-70b-inst-model-qwen2-7b-inst-thre-1Self-J-score-wo-ref-skywork-pref-model-mis-7b-v0.2-thre-1Self-J-score-w-ref-skywork-pref-ref-lla31-70b-inst-model-qwen2-7b-inst-thre-1-10000Self-J-score-w-ref-skywork-pref-ref-lla31-70b-inst-model-lla31-8b-inst-thre-1-1000Self-J-score-wo-ref-skywork-pref-model-lla-31-8b-inst-thre-0