I

I created a first-of-its-kind open corpus of Australian law

Hacker News

I created a first-of-its-kind open corpus of Australian law

Hey HN, today I'm sharing my latest project, the Open Australian Legal Corpus, a first-of-its-kind multijurisdictional open corpus of Australian legislative and judicial documents. The idea behind this dataset was born a few months ago, when, while attempting to pretrain a BERT model for the Australian legal domain, I discovered that there was no freely accessible, openly licensed text corpus of Australian laws and cases that I could use. This was in contrast to the US, UK and EU which all had multiple large open legal corpora available. Thus, I set out to the fill the gap in Australian legal AI research by compiling a dataset of as many in force Australian laws, regulations, bills and decisions as I could find. The end product was a corpus of 97,750 texts totalling over forty million lines and half a billion tokens, and spanning five states, one external territory and the Commonwealth. You can view the corpus on [HuggingFace]( https://huggingface.co/datasets/umarbutler/open-australian-l... ) and the code used to create it on [Github]( https://github.com/umarbutler/open-australian-legal-corpus-c... ).

Share card

Actual performance

3points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, code, open · Missing: mac, agents, macos
68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Di
Discussion with Milton Friedman's Grandson about Polycentric Law67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discussion with Milton Friedman's Grandson about Polycentric Law

Hacker News1
Em
EmuBert – the first open encoder model for Australian law85%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

EmuBert – the first open encoder model for Australian law

Hacker News2
A
A REPL for Java (kind of)53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A REPL for Java (kind of)

Hacker News2
OB Tie Dye
OB Tie Dye60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

One-of-a-kind ice-dyed apparel, handcrafted in San Diego

Indie Hackerscommitment-side-project
Wh
Why we Created a New Kind of Concierge Service60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Why we Created a New Kind of Concierge Service

Hacker News1
Ne
NewsFreak: A newsreader I initially created for myself40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NewsFreak: A newsreader I initially created for myself

Hacker News1
I
I created a toothbrush that docks and charges without wires42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I created a toothbrush that docks and charges without wires

Hacker News2
I'
I'm tired of corrupt US politicians, so I created this38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm tired of corrupt US politicians, so I created this

Hacker News334
My
My grandfather died so I created RIP35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My grandfather died so I created RIP

Hacker News1
Wh
Why I created Picket35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Why I created Picket

Hacker News1