driftlogic_

Hey all!

We’ve been working on an NLP tool for extracting argument structures (claims, premises, support/attack relationships) from long-form text like essays and articles. But hit a common wall: lack of clean, labeled data at scale.

So we built our own.

The dataset:

•1,500 persuasive essays

•Annotated with argument units: MajorClaim, Claim, Premise

•Includes labeled relations: supports / attacks

•JSON format with token-level alignment

•Created via an agent-based synthetic generation + QA pipeline

This is the first drop of what we’re calling DriftData and are looking for 10 folks who are into NLP / LLM fine-tuning / argument mining who want to test it, break it, or benchmark wi

Hey all!

We’ve been working on an AI tool for extracting argument structures (claims, premises, support/attack relationships) from long-form text like essays and articles. But hit a common wall: lack of clean, labeled data at scale.

So we built our own.

The dataset: • 1,500 persuasive essays • Annotated with argument units: MajorClaim, Claim, Premise • Includes labeled relations: supports / attacks • JSON format with token-level alignment • Created via an agent-based synthetic generation + QA pipeline

This is the first drop of what we’re calling DriftData and are looking for 10 folks who are into NLP / LLM fine-tuning / argument mining who want to test it, break it, or benchmark wit

Afternoon All!

For the last few weeks I've been working on a personal project to develop a tool to extract argument structure from text. The roadblock I kept running into was 1) Availability of Data (the eternal struggle for AI development) and 2) If the data was available it was under strict licensing. I had an idea that was more of a joke than serious but it turned out to be pretty useful. I designed an agentic pipeline to generate persuasive essays, extract argument structure, identify relationships between argument units, and then finally perform 3rd party quality assurance. I compared it against industry/academic benchmarks and it has actually performed closely with accepted human anno

Afternoon All!

I’ve been building a synthetic dataset for argument mining as part of a solo AI project, and wanted to share it here in case it’s useful to others working in NLP or reasoning tasks.

DriftData includes:

• 1,500 persuasive essays • Annotated with major claims, supporting claims, and premises • Relations between statements (support, attack, elaboration, etc.) • JSON format with a full schema and usage documentation

A sample set of 150 essays is available for exploration under CC BY-NC 4.0. Direct download + docs here: https://driftlogic.ai

My personal use case was training argument structure extractors. Finding robust datasets proved to be a diff

Afternoon All!

I just released a dataset I built called DriftData: • 1,500 persuasive essays • Argument units labeled (major claim, claim, premise) • Relation types annotated (support, attack, etc.) • JSON format with usage docs + schema

A free sample (150 essays) is available under CC BY-NC 4.0.

Commercial licenses included in the full release.

Grab the sample or learn more here: https://driftlogic.ai

Dataset Card on Hugging Face: https://huggingface.co/datasets/DriftLogic/Annotated_Persuasive_Essays

Happy to answer any questions!

I’m building a tool to help teachers analyze student writing by surfacing patterns in argument structure and potentially identifying signs of shallow understanding. I shared a bit of it with the user community, not to promote it, just to ask what they’d actually want from a tool like this.

The feedback was… intense. Some helpful. Most were hostile. And a recurring theme was this: “EdTech isn’t the problem. Time, pay, class sizes, burnout that’s the problem.”

I get it. Teachers have been burned by flashy tools that don’t actually reduce their workload or respect their expertise. But I still believe there’s value in building with educators if you do it transparently and with empathy.

So I’d

Good Morning r/Teachers!

I’m building an AI tool and I need your help. I’m not here to sell anything, just trying to make sure I’m building something actually useful.

I’ve been working on a tool called ClarityClass, which analyzes student writing but not just grammar or plagiarism. It tries to break down how well a student is forming their argument, whether they’re backing up claims, and whether their logic is shallow, confused, or solid.

Basically, it’s meant to “read between the lines” the way you do when you grade.

Here’s why: I know some students bluff their way through essays. Others copy-paste. Some genuinely try, but their logic is a mess. I wanted to build something that could s

Hey all! I’m in the early days of something I’ve wanted to build for years, and figured r/SideProject was the right place to share.

I’m a solo developer trying to bootstrap a company called Driftlogic that is part AI development studio, part creative design lab. I’m not selling a product (yet). Right now, I’m just:

• Taking on AI/ML freelance work through Upwork to keep the lights on

• Building a long-term brand I believe in while building a strong foundation for a company that can scale

• Documenting everything in public via a Substack

What does Driftlogic even mean? I'm glad you asked! The name comes from a personal design philosophy that started as a game design idea, but I’ve been a