datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AustralianTaxGuidanceChunkRetrievalalignment-australian-final
DiaLLM — Australian English Preference Dataset
Part of DiaLLM: An Investigation into the Robustness-Generation Gap in
English Dialect Adaptation (EMNLP 2026 Main).
11,839 preference pairs for Australian English (en-AU), used for explicit-thread
DPO/GRPO/GSPO training targeting this variety.
Construction
Built from the UltraFeedback preference dataset (Cui et al., 2023):
the originally-preferred completion is transformed into a dialectal variant
using Multi-VALUE… See the full description on the dataset page: https://huggingface.co/datasets/surrey-nlp/alignment-australian-final.flare-australian
Dataset Card for "flare-australian"
More Information needed
australian-supermarket-prices
Australian Supermarket Prices, September 2026
Every product Coles and Woolworths sold online in Australia on 17 September 2026, with barcodes on both sides so the two chains can be joined, plus all 2,019 of their supermarkets with coordinates.
from datasets import load_dataset
products = load_dataset("FreshCrawl/australian-supermarket-prices", "products", split="train")
stores = load_dataset("FreshCrawl/australian-supermarket-prices", "stores", split="train")
The files are… See the full description on the dataset page: https://huggingface.co/datasets/FreshCrawl/australian-supermarket-prices.open-australian-legal-qa-paraphrased-hard-gemini-with-embopen-australian-legal-qa-paraphrased-easy-geminiopen-australian-legal-multi-lingual-qa
Dataset Card for corto-ai/open-australian-legal-multi-lingual-qa
Multi-lingual question answering dataset based on umarbutler/open-australian-legal-qa
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): English, Spanish, French
License: [More Information Needed]
Dataset Sources [optional]
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/corto-ai/open-australian-legal-multi-lingual-qa.open-australian-legal-qa-paraphrased-easy-gemini-with-embopen-australian-legal-qa-paraphrased-hard-geminiaustralian-housing-market-data
Australian Housing Market Landscape
GitHub: Alex-Dunstan
This dataset contains 2,490 Australian Statistical Areas Level 2 (SA2s), using 2026 ASGS geography, 2021 Census profile features, and selected 2024 area-level housing-price measures.
Data background
Each row describes one Australian Statistical Area Level 2 (SA2): a local-area geography used by the Australian Bureau of Statistics. The data combines 2026 ASGS boundaries and coordinates with 2021 Census… See the full description on the dataset page: https://huggingface.co/datasets/alexdunstan/australian-housing-market-data.australian-dataset-1b
🇦🇺 Australian Web Text — 1B-token Sample 🦘
A 1-billion-token representative sample of a much larger cleaned Australian web-text corpus derived from Common Crawl. This sample is released alongside the JoeyLLM project's ongoing research into regional English language models. 🌐
The full 294B-token corpus is not publicly released due to its size, operational cost, and intended controlled use in research and model development. 🔒 Researchers seeking access to the full corpus for… See the full description on the dataset page: https://huggingface.co/datasets/JoeyLLM/australian-dataset-1b.australian-insurance-pii-dataset-correctedaustralian-sme-business-dataset
SME Business Dataset (Free Samples — AU, US, UK)
Realistic, relational business datasets generated by simulating retail SMEs day-by-day over 2 financial years. Every transaction flows through double-entry accounting.
Browse all datasets and variants →
Three variants available: Australian (ATO/GST), US (IRS/FICA), and UK (HMRC/PAYE/VAT).
What makes this different
Feature
AdventureWorks
Northwind
Faker/Mockaroo
This dataset
Cross-domain traceability
Partial… See the full description on the dataset page: https://huggingface.co/datasets/mindweave/australian-sme-business-dataset.Louis.Vuitton.Product.prices.Australia
Louis Vuitton web scraped data
About the website
The luxury fashion industry in the Asia Pacific, particularly in Australia, has seen a considerable surge in popularity over recent years. With a central focus on high-end designer brands such as Louis Vuitton, this lucrative market operates both in physical boutiques and more predominantly, via ecommerce. Australian consumers are now highly targeted by luxury brand campaigns due to their increasing purchasing power. The… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Louis.Vuitton.Product.prices.Australia.reserve_bank_of_australia
Dataset Summary
For dataset summary, please refer to https://huggingface.co/datasets/gtfintechlab/reserve_bank_of_australia
Additional Information
This dataset is annotated across three different tasks: Stance Detection, Temporal Classification, and Uncertainty Estimation. The tasks have four, two, and two unique labels, respectively. This dataset contains 1,000 sentences taken from the meeting minutes of the Reserve Bank of Australia.
Label Interpretation… See the full description on the dataset page: https://huggingface.co/datasets/gtfintechlab/reserve_bank_of_australia.criminal-code-of-western-australia-reasoning-flash-2.0-5k_chunksMiscellany_of_Australian_Historical_Photographycra-australianDior.Product.prices.Australia
Dior web scraped data
About the website
The luxury fashion industry is a prominent sector in the Asia Pacific region, particularly in Australia. This industry features numerous global brands, with Dior being one of the most popular. Over the years, Australia has seen drastic growth in high-end fashion demand, driven by increasingly affluent consumers desiring international luxury labels. Ecommerce has significantly facilitated this growth. The dataset we observed includes… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Dior.Product.prices.Australia.open-australian-legal-qa-paraphrased-hard-gpt-with-embBottega.Veneta.Product.prices.Australia
Bottega Veneta web scraped data
About the website
Bottega Veneta operates in the high-end luxury fashion industry, predominantly in the Asia Pacific region specifically focusing on Australia. This market encompasses fine clothing, opulent accessories, exclusive footwear, and distinguished leather goods. The brand is among the high echelon of luxury fashion brands that have harnessed the potential of the rapidly growing Ecommerce industry in the region. The era of online… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Bottega.Veneta.Product.prices.Australia.australian-insurance-pii-datasetgorgeous-australia-30hz-terminal-rlThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_so_follower",
"total_episodes": 30,
"total_frames": 32631,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:30"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/nkmurst/gorgeous-australia-30hz-terminal-rl.australian_credit
Australian Credit
The Australian Credit from the UCI ML repository.
Classification of loan approval.
Configurations and tasks
Configuration
Task
Description
australian_credit
Binary classification
Is the loan granted?
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/australian_credit")["train"]
Features
Target feature changes according to the selected configuration and is always in last position in the dataset.
gorgeous-australia-30hzThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_so_follower",
"total_episodes": 30,
"total_frames": 34791,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:30"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/nkmurst/gorgeous-australia-30hz.gorgeous-australia-v3-30hzThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_so_follower",
"total_episodes": 20,
"total_frames": 17501,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
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},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/nkmurst/gorgeous-australia-v3-30hz.John_Gould_Birds_of_Australia
Birds of Australia
As described on RAWPIXEL:
Considered the “Father of bird study in Australia”, John Gould (1804–1881) is one of the most celebrated publications on ornithology worldwide. His book "Birds of Australia" (1840–1848) illustrated by his wife, Elizabeth Gould (1804–1841) introduced more than 300 new birds to the world. His work also contributed to the much revered Charles Darwin’s book ‘On the Origins of Species’. Available under the Creative Commons 0 license.
Created… See the full description on the dataset page: https://huggingface.co/datasets/Mediocreatmybest/John_Gould_Birds_of_Australia.Australiangorgeous-australia-v3-30hz-terminal-rlThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_so_follower",
"total_episodes": 20,
"total_frames": 16061,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/nkmurst/gorgeous-australia-v3-30hz-terminal-rl.AIS-Australian_Institute_of_Sports
